National Library of Energy BETA

Sample records for aerosol profiles cessna

  1. ARM - Field Campaign - In-situ Aerosol Profiles (Cessna Aerosol...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : In-situ Aerosol Profiles (Cessna Aerosol Flights) 2000.03.01 - 2007.10.31 Lead...

  2. ARM - Measurement - Aerosol concentration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CSPHOT : Cimel Sunphotometer CPC : Condensation Particle Counter HTDMA : Humidified Tandem Differential Mobility Analyzer IAP : In-situ Aerosol Profiles (Cessna Aerosol Flights)...

  3. ARM - Campaign Instrument - cessna-404-ara

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govInstrumentscessna-404-ara Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Airborne Research Australia Cessna 404 (CESSNA-404-ARA) Instrument Categories Airborne Observations, Atmospheric Profiling, Cloud Properties Campaigns Nauru99 Campaign [ Download Data ] Tropical Western Pacific, 1999.06.16 - 1999.07.15 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the

  4. ARM: 10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    1998-03-01

    10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  5. ARM: 1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  6. ARM: 10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  7. ARM: 1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  8. ARM Aerosol Working Group Meeting

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Report ARM STM 2008 Norfolk, VA Connor Flynn for B Schmid and AWG Members AWG Instruments * Raman Lidar - SGP * Micropulse Lidars - all sites * Aerosol Sampling - SGP, NSA, AMF - scattering, absorption, number, size distribution, hygroscopicity, CCN, composition (major ions). * In situ Aerosol Profile (Cessna) - scattering, absorption, number, hygroscopicity, * Radiometers: - MFRSR, NIMFR, RSS, Cimel, AERI, SWS AWG-related Field Campaigns * Recent Past: - MASRAD (Marine Stratus Radiation,

  9. ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    2010-12-15

    10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  10. ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  11. ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles...

    Office of Scientific and Technical Information (OSTI)

    extinction profiles and aerosol optical thickness, from first Ferrare algorithm Citation Details In-Document Search Title: ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction ...

  12. Determination of vertical profiles of aerosol extinction, single...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    profiles of aerosol extinction, single scatter albedo and asymmetry parameter at Barrow. Sivaraman, Chitra Pacific Northwest National Laboratory Flynn, Connor Pacific...

  13. ARM: 10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  14. ARM: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  15. ARM: 1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  16. ARM: 10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Newsom, Rob; Goldsmith, John

    1998-03-01

    10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  17. ARM: 10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  18. ARM: 10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  19. ARM: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  20. ARM: 1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  1. ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    2010-12-15

    10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  2. ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  3. ARM: 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    1998-03-01

    10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

  4. ARM: 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

  5. Certification of the Cessna 152 on 100% ethanol

    SciTech Connect (OSTI)

    Shauck, M.E.; Zanin, M.G.

    1997-12-31

    In June 1996, the Renewable Aviation Fuels Development Center (RAFDC) at Baylor University in Waco, Texas, received a Supplemental Type Certificate (STC) for the use of 100% ethanol as a fuel for the Cessna 152, the most popular training aircraft in the world. This is the first certification granted by the Federal Aviation Administration (FAA) for a non-petroleum fuel. Certification of an aircraft on a new fuel requires a certification of the engine followed by a certification of the airframe/engine combination. This paper will describe the FAA airframe certification procedure, the tests required and their outcome using ethanol as an aviation fuel in a Cessna 152.

  6. Radiative and thermodynamic responses to aerosol extinction profiles during the pre-monsoon month over South Asia

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Feng, Y.; Kotamarthi, V. R.; Coulter, R.; Zhao, C.; Cadeddu, M.

    2015-06-19

    Aerosol radiative effects and thermodynamic responses over South Asia are examined with a version of the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) for March 2012. Model results of Aerosol Optical Depth (AOD) and extinction profiles are analyzed and compared to satellite retrievals and two ground-based lidars located in the northern India. The WRF-Chem model is found to underestimate the AOD during the simulated pre-monsoon month and about 83 % of the model low-bias is due to aerosol extinctions below ~2 km. Doubling the calculated aerosol extinctions below 850 hPa generates much better agreement with the observed AODmoreand extinction profiles averaged over South Asia. To separate the effect of absorption and scattering properties, two runs were conducted: in one run (Case I), the calculated scattering and absorption coefficients were increased proportionally, while in the second run (Case II) only the calculated aerosol scattering coefficient was increased. With the same AOD and extinction profiles, the two runs produce significantly different radiative effects over land and oceans. On the regional mean basis, Case I generates 48 % more heating in the atmosphere and 21 % more dimming at the surface than Case II. Case I also produces stronger cooling responses over the land from the longwave radiation adjustment and boundary layer mixing. These rapid adjustments offset the stronger radiative heating in Case I and lead to an overall lower-troposphere cooling up to -0.7 K day?1, which is smaller than that in Case II. Over the ocean, direct radiative effects dominate the heating rate changes in the lower atmosphere lacking such surface and lower atmosphere adjustments due to fixed sea surface temperature, and the strongest atmospheric warming is obtained in Case I. Consequently, atmospheric dynamics (boundary layer heights and meridional circulation) and thermodynamic processes (water vapor and cloudiness) are shown to respond differently between Case I and Case II underlying the importance of determining the exact portion of scattering or absorbing aerosols that lead to the underestimation of aerosol optical depth in the model. In addition, the model results suggest that both direct radiative effect and rapid thermodynamic responses need to be quantified for understanding aerosol radiative impacts.less

  7. Radiative and thermodynamic responses to aerosol extinction profiles during the pre-monsoon month over South Asia

    SciTech Connect (OSTI)

    Feng, Y.; Kotamarthi, V. R.; Coulter, R.; Zhao, C.; Cadeddu, M.

    2015-06-19

    Aerosol radiative effects and thermodynamic responses over South Asia are examined with a version of the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) for March 2012. Model results of Aerosol Optical Depth (AOD) and extinction profiles are analyzed and compared to satellite retrievals and two ground-based lidars located in the northern India. The WRF-Chem model is found to underestimate the AOD during the simulated pre-monsoon month and about 83 % of the model low-bias is due to aerosol extinctions below ~2 km. Doubling the calculated aerosol extinctions below 850 hPa generates much better agreement with the observed AOD and extinction profiles averaged over South Asia. To separate the effect of absorption and scattering properties, two runs were conducted: in one run (Case I), the calculated scattering and absorption coefficients were increased proportionally, while in the second run (Case II) only the calculated aerosol scattering coefficient was increased. With the same AOD and extinction profiles, the two runs produce significantly different radiative effects over land and oceans. On the regional mean basis, Case I generates 48 % more heating in the atmosphere and 21 % more dimming at the surface than Case II. Case I also produces stronger cooling responses over the land from the longwave radiation adjustment and boundary layer mixing. These rapid adjustments offset the stronger radiative heating in Case I and lead to an overall lower-troposphere cooling up to -0.7 K day−1, which is smaller than that in Case II. Over the ocean, direct radiative effects dominate the heating rate changes in the lower atmosphere lacking such surface and lower atmosphere adjustments due to fixed sea surface temperature, and the strongest atmospheric warming is obtained in Case I. Consequently, atmospheric dynamics (boundary layer heights and meridional circulation) and thermodynamic processes (water vapor and cloudiness) are shown to respond differently between Case I and Case II underlying the importance of determining the exact portion of scattering or absorbing aerosols that lead to the underestimation of aerosol optical depth in the model. In addition, the model results suggest that both direct radiative effect and rapid thermodynamic responses need to be quantified for understanding aerosol radiative impacts.

  8. Radiative and thermodynamic responses to aerosol extinction profiles during the pre-monsoon month over South Asia

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Feng, Y.; Kotamarthi, V. R.; Coulter, R.; Zhao, C.; Cadeddu, M.

    2016-01-18

    In this study, aerosol radiative effects and thermodynamic responses over South Asia are examined with the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) for March 2012. Model results of aerosol optical depths (AODs) and extinction profiles are analyzed and compared to satellite retrievals and two ground-based lidars located in northern India. The WRF-Chem model is found to heavily underestimate the AOD during the simulated pre-monsoon month and about 83 % of the model's low bias is due to aerosol extinctions below ~2km. Doubling the calculated aerosol extinctions below 850 hPa generates much better agreement with the observed AOD andmore » extinction profiles averaged over South Asia. To separate the effect of absorption and scattering properties, two runs were conducted: in one run (Case I), the calculated scattering and absorption coefficients were increased proportionally, while in the second run (Case II) only the calculated aerosol scattering coefficient was increased. With the same AOD and extinction profiles, the two runs produce significantly different radiative effects over land and oceans. On the regional mean basis, Case I generates 48 % more heating in the atmosphere and 21 % more dimming at the surface than Case II. Case I also produces stronger cooling responses over the land from the longwave radiation adjustment and boundary layer mixing. These rapid adjustments offset the stronger radiative heating in Case I and lead to an overall lower-troposphere cooling up to –0.7 K day−1, which is smaller than that in Case II. Over the ocean, direct radiative effects dominate the heating rate changes in the lower atmosphere lacking such surface and lower atmosphere adjustments due to fixed sea surface temperature, and the strongest atmospheric warming is obtained in Case I. Consequently, atmospheric dynamics (boundary layer heights and meridional circulation) and thermodynamic processes (water vapor and cloudiness) are shown to respond differently between Case I and Case II, underlining the importance of determining the exact portion of scattering or absorbing aerosols that lead to the underestimation of aerosol optical depth in the model. In addition, the model results suggest that both the direct radiative effect and rapid thermodynamic responses need to be quantified for understanding aerosol radiative impacts.« less

  9. Radiative and thermodynamic responses to aerosol extinction profiles during the pre-monsoon month over South Asia

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Feng, Y.; Kotamarthi, V. R.; Coulter, R.; Zhao, C.; Cadeddu, M.

    2015-06-19

    Aerosol radiative effects and thermodynamic responses over South Asia are examined with a version of the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) for March 2012. Model results of Aerosol Optical Depth (AOD) and extinction profiles are analyzed and compared to satellite retrievals and two ground-based lidars located in the northern India. The WRF-Chem model is found to underestimate the AOD during the simulated pre-monsoon month and about 83 % of the model low-bias is due to aerosol extinctions below ~2 km. Doubling the calculated aerosol extinctions below 850 hPa generates much better agreement with the observed AODmore » and extinction profiles averaged over South Asia. To separate the effect of absorption and scattering properties, two runs were conducted: in one run (Case I), the calculated scattering and absorption coefficients were increased proportionally, while in the second run (Case II) only the calculated aerosol scattering coefficient was increased. With the same AOD and extinction profiles, the two runs produce significantly different radiative effects over land and oceans. On the regional mean basis, Case I generates 48 % more heating in the atmosphere and 21 % more dimming at the surface than Case II. Case I also produces stronger cooling responses over the land from the longwave radiation adjustment and boundary layer mixing. These rapid adjustments offset the stronger radiative heating in Case I and lead to an overall lower-troposphere cooling up to -0.7 K day−1, which is smaller than that in Case II. Over the ocean, direct radiative effects dominate the heating rate changes in the lower atmosphere lacking such surface and lower atmosphere adjustments due to fixed sea surface temperature, and the strongest atmospheric warming is obtained in Case I. Consequently, atmospheric dynamics (boundary layer heights and meridional circulation) and thermodynamic processes (water vapor and cloudiness) are shown to respond differently between Case I and Case II underlying the importance of determining the exact portion of scattering or absorbing aerosols that lead to the underestimation of aerosol optical depth in the model. In addition, the model results suggest that both direct radiative effect and rapid thermodynamic responses need to be quantified for understanding aerosol radiative impacts.« less

  10. ARM - Campaign Instrument - iap

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govInstrumentsiap Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : In-situ Aerosol Profiles (Cessna Aerosol...

  11. Aerosol Extinction Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (Technical Report) | SciTech Connect Aerogel-Based Insulation for High-Temperature Industrial Processes Citation Details In-Document Search Title: Aerogel-Based Insulation for High-Temperature Industrial Processes Under this program, Aspen Aerogels has developed an industrial insulation called Pyrogel HT, which is 4-5 times more thermally efficient than current non-aerogel technology. Derived from nanoporous silica aerogels, Pyrogel HT was specifically developed to address a high temperature

  12. Profiling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Projects Profiles in Renewable Energy: Case Studies of Successful Utility-Sector Projects The Shape of Renewable Energy Technologies Today Biomass Wood-Burning Plant Reduces Air Pollution Kettle Falls Wood-Fired Plant Washington Power Company Regulatory Changes Spur Wood-Fired Plant Grayling Generating Station Decker Energy International, Inc. Community Partnership Leads to Waste-Burning Plant Bristol Waste-to-Energy Plant Ogden Martin Systems Geothermal Geothermal Loan Encourages New Power

  13. Carbonaceous Aerosols and Radiative...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    carbon, primary organic aerosols (POA), and secondary organic aerosols (SOA) from both man-made and biogenic sources. Black carbon and primary organic aerosols are emitted...

  14. Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds

    SciTech Connect (OSTI)

    Turner, David, D.; Ferrare, Richard, A.

    2011-07-06

    The 'Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds' project focused extensively on the analysis and utilization of water vapor and aerosol profiles derived from the ARM Raman lidar at the Southern Great Plains ARM site. A wide range of different tasks were performed during this project, all of which improved quality of the data products derived from the lidar or advanced the understanding of atmospheric processes over the site. These activities included: upgrading the Raman lidar to improve its sensitivity; participating in field experiments to validate the lidar aerosol and water vapor retrievals; using the lidar aerosol profiles to evaluate the accuracy of the vertical distribution of aerosols in global aerosol model simulations; examining the correlation between relative humidity and aerosol extinction, and how these change, due to horizontal distance away from cumulus clouds; inferring boundary layer turbulence structure in convective boundary layers from the high-time-resolution lidar water vapor measurements; retrieving cumulus entrainment rates in boundary layer cumulus clouds; and participating in a field experiment that provided data to help validate both the entrainment rate retrievals and the turbulent profiles derived from lidar observations.

  15. Vertical microphysical profiles of convective clouds as a tool for

    Office of Scientific and Technical Information (OSTI)

    obtaining aerosol cloud-mediated climate forcings (Technical Report) | SciTech Connect Vertical microphysical profiles of convective clouds as a tool for obtaining aerosol cloud-mediated climate forcings Citation Details In-Document Search Title: Vertical microphysical profiles of convective clouds as a tool for obtaining aerosol cloud-mediated climate forcings Quantifying the aerosol/cloud-mediated radiative effect at a global scale requires simultaneous satellite retrievals of cloud

  16. Aerosol Simulations by LLNL IMPACT and Comparisons with Field Measurements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Simulations by LLNL IMPACT and Comparisons with Field Measurements C. C. Chuang, D. Bergman, J. Dignon, and P. Connell Lawrence Livermore National Laboratory Livermore, California Introduction The first step needed to assess aerosol climate effects is to provide the global concentrations and vertical profiles of different aerosol components. These distributions cannot be easily obtained from satellite retrievals or field measurements but are key to estimating the magnitude of aerosol forcing. A

  17. Particulate Matter Aerosols

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Particulate Matter Aerosols The study of atmospheric aerosols is important because of its adverse effects on health, air quality, visibility, cultural heritage, and Earth's radiation balance. Techniques that can help better characterize particulate matter are required to better understand the constituents, causes and sources of particulate matter (PM) aerosols. Carbon is one of the main constituents of atmospheric aerosols. Radiocarbon (14C) measurement performed on aerosol particulate matter

  18. Aerosol mobility size spectrometer

    DOE Patents [OSTI]

    Wang, Jian; Kulkarni, Pramod

    2007-11-20

    A device for measuring aerosol size distribution within a sample containing aerosol particles. The device generally includes a spectrometer housing defining an interior chamber and a camera for recording aerosol size streams exiting the chamber. The housing includes an inlet for introducing a flow medium into the chamber in a flow direction, an aerosol injection port adjacent the inlet for introducing a charged aerosol sample into the chamber, a separation section for applying an electric field to the aerosol sample across the flow direction and an outlet opposite the inlet. In the separation section, the aerosol sample becomes entrained in the flow medium and the aerosol particles within the aerosol sample are separated by size into a plurality of aerosol flow streams under the influence of the electric field. The camera is disposed adjacent the housing outlet for optically detecting a relative position of at least one aerosol flow stream exiting the outlet and for optically detecting the number of aerosol particles within the at least one aerosol flow stream.

  19. ARM - Measurement - Aerosol extinction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Aerosol extinction The removal of radiant energy from an incident beam by the process of aerosol absorption ...

  20. ARM - Measurement - Aerosol image

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Aerosol image Images of aerosols from which one can derive characteristics such...

  1. ARM - Measurement - Aerosol scattering

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    : Nephelometer PASS : Photoacoustic Soot Spectrometer RL : Raman Lidar TDMA : Tandem Differential Mobility Analyzer Field Campaign Instruments AMT : Aerosol Modeling...

  2. Aerosol Observing System Upgraded

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Aerosol Observing System Upgraded The Aerosol Observing System (AOS) at the SGP central facility recently received maintenance and was upgraded to improve its performance. The AOS measures the properties of the aerosol particles around it. Several AOS components were removed, repaired, and calibrated to operate within specifications. The system continuously gathers information about the way minute aerosol particles interact with solar radiation. A better understanding of these interactions

  3. Aerosol distribution apparatus

    DOE Patents [OSTI]

    Hanson, W.D.

    An apparatus for uniformly distributing an aerosol to a plurality of filters mounted in a plenum, wherein the aerosol and air are forced through a manifold system by means of a jet pump and released into the plenum through orifices in the manifold. The apparatus allows for the simultaneous aerosol-testing of all the filters in the plenum.

  4. Solid aerosol generator

    DOE Patents [OSTI]

    Prescott, Donald S.; Schober, Robert K.; Beller, John

    1992-01-01

    An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates.

  5. Improved solid aerosol generator

    DOE Patents [OSTI]

    Prescott, D.S.; Schober, R.K.; Beller, J.

    1988-07-19

    An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.

  6. Solid aerosol generator

    DOE Patents [OSTI]

    Prescott, D.S.; Schober, R.K.; Beller, J.

    1992-03-17

    An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration is disclosed. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.

  7. Profiling atmospheric aerosols | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Brian Grabowski at media@anl.gov or (630) 252-1232. Connect Find an Argonne expert by subject. Follow Argonne on Twitter, Facebook, Google+ and LinkedIn. For inquiries on...

  8. Aerosol remote sensing in polar regions

    SciTech Connect (OSTI)

    Tomasi, Claudio; Kokhanovsky, Alexander A.; Lupi, Angelo; Ritter, Christoph; Smirnov, Alexander; O'Neill, Norman T.; Stone, Robert S.; Holben, Brent N.; Nyeki, Stephan; Mazzola, Mauro; Lanconelli, Christian; Vitale, Vito; Stebel, Kerstin; Aaltonen, Veijo; de Leeuw, Gerrit; Rodriguez, Edith; Herber, Andreas B.; Radionov, Vladimir F.; Zielinski, Tymon; Petelski, Tomasz; Sakerin, Sergey M.; Kabanov, Dmitry M.; Xue, Yong; Mei, Linlu; Istomina, Larysa; Wagener, Richard; McArthur, Bruce; Sobolewski, Piotr S.; Kivi, Rigel; Courcoux, Yann; Larouche, Pierre; Broccardo, Stephen; Piketh, Stuart J.

    2015-01-01

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness ?(?) at visible and near-infrared wavelengths, from which best-fit values of ngstrm's exponent ? were calculated. Analysing these data, the monthly mean values of ?(0.50 ?m) and ? and the relative frequency histograms of the daily mean values of both parameters were determined for winterspring and summerautumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of ? versus ?(0.50 ?m) showed: (i) a considerable increase in ?(0.50 ?m) for the Arctic aerosol from summer to winterspring, without marked changes in ?; and (ii) a marked increase in ?(0.50 ?m) passing from the Antarctic Plateau to coastal sites, whereas ? decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of ?(?) and ? at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-lesund. Satellite-based MODIS, MISR, and AATSR retrievals of ?(?) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surfaceatmosphere system over polar regions.

  9. Indirect and semi-direct aerosol campaign: The impact of Arctic aerosols on clouds

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    McFarquhar, Greg M.; Ghan, Steven; Verlinde, Johannes; Korolev, Alexei; Strapp, J. Walter; Schmid, Beat; Tomlinson, Jason M.; Wolde, Menqistu; Brooks, Sarah D.; Cziczo, Dan; et al

    2011-02-01

    A comprehensive dataset of microphysical and radiative properties of aerosols and clouds in the boundary layer in the vicinity of Barrow, Alaska, was collected in April 2008 during the Indirect and Semi-Direct Aerosol Campaign (ISDAC). ISDAC's primary aim was to examine the effects of aerosols, including those generated by Asian wildfires, on clouds that contain both liquid and ice. ISDAC utilized the Atmospheric Radiation Measurement Pro- gram's permanent observational facilities at Barrow and specially deployed instruments measuring aerosol, ice fog, precipitation, and radiation. The National Research Council of Canada Convair-580 flew 27 sorties and collected data using an unprecedented 41more » stateof- the-art cloud and aerosol instruments for more than 100 h on 12 different days. Aerosol compositions, including fresh and processed sea salt, biomassburning particles, organics, and sulfates mixed with organics, varied between flights. Observations in a dense arctic haze on 19 April and above, within, and below the single-layer stratocumulus on 8 and 26 April are enabling a process-oriented understanding of how aerosols affect arctic clouds. Inhomogeneities in reflectivity, a close coupling of upward and downward Doppler motion, and a nearly constant ice profile in the single-layer stratocumulus suggests that vertical mixing is responsible for its longevity observed during ISDAC. Data acquired in cirrus on flights between Barrow and Fairbanks, Alaska, are improving the understanding of the performance of cloud probes in ice. Furthermore, ISDAC data will improve the representation of cloud and aerosol processes in models covering a variety of spatial and temporal scales, and determine the extent to which surface measurements can provide retrievals of aerosols, clouds, precipitation, and radiative heating.« less

  10. ARM - AOS Aerosol Properties Plots

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ViewersAOS Aerosol Properties Plots XDC Data Viewers Aerosol Properties Plots SGP AMF NSA (BRW) AOS Aerosol Properties Plots These plots are designed to provide a quick look at the...

  11. ARM - Measurement - Aerosol composition

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    quality assurance purposes. ARM Instruments PILS : Particle Into Liquid Sampler TDMA : Tandem Differential Mobility Analyzer Field Campaign Instruments AEROSMASSSPEC : Aerosol Mass...

  12. ARM - Measurement - Aerosol optical properties

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    : Aerosol optical properties The optical properties of aerosols, including asymmetry factor, phase-function, single-scattering albedo, refractive index, and backscatter...

  13. ARM AOS Processing Status and Aerosol Intensive Properties VAP

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AOS Processing Status and Aerosol Intensive Properties VAP A. S. Koontz and C. J. Flynn Pacific Northwest National Laboratory Richland, Washington J. A. Ogren, E. Andrews, and P. J. Sheridan National Oceanic and Atmospheric Administration Boulder, Colorado Abstract The Atmospheric Radiation Measurement (ARM) Aerosol Observing System (AOS) has been operating at the Southern Great Plains (SGP) Central Facility since 1996. In response to the cross-cutting broad- band heating rate profile value

  14. Portable Aerosol Contaminant Extractor

    DOE Patents [OSTI]

    Carlson, Duane C.; DeGange, John J.; Cable-Dunlap, Paula

    2005-11-15

    A compact, portable, aerosol contaminant extractor having ionization and collection sections through which ambient air may be drawn at a nominal rate so that aerosol particles ionized in the ionization section may be collected on charged plate in the collection section, the charged plate being readily removed for analyses of the particles collected thereon.

  15. Direct Aerosol Forcing Uncertainty

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Mccomiskey, Allison

    2008-01-15

    Understanding sources of uncertainty in aerosol direct radiative forcing (DRF), the difference in a given radiative flux component with and without aerosol, is essential to quantifying changes in Earth's radiation budget. We examine the uncertainty in DRF due to measurement uncertainty in the quantities on which it depends: aerosol optical depth, single scattering albedo, asymmetry parameter, solar geometry, and surface albedo. Direct radiative forcing at the top of the atmosphere and at the surface as well as sensitivities, the changes in DRF in response to unit changes in individual aerosol or surface properties, are calculated at three locations representing distinct aerosol types and radiative environments. The uncertainty in DRF associated with a given property is computed as the product of the sensitivity and typical measurement uncertainty in the respective aerosol or surface property. Sensitivity and uncertainty values permit estimation of total uncertainty in calculated DRF and identification of properties that most limit accuracy in estimating forcing. Total uncertainties in modeled local diurnally averaged forcing range from 0.2 to 1.3 W m-2 (42 to 20%) depending on location (from tropical to polar sites), solar zenith angle, surface reflectance, aerosol type, and aerosol optical depth. The largest contributor to total uncertainty in DRF is usually single scattering albedo; however decreasing measurement uncertainties for any property would increase accuracy in DRF. Comparison of two radiative transfer models suggests the contribution of modeling error is small compared to the total uncertainty although comparable to uncertainty arising from some individual properties.

  16. ARM - Measurement - Aerosol absorption

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    absorption ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Aerosol absorption The...

  17. Monodisperse aerosol generator

    DOE Patents [OSTI]

    Ortiz, Lawrence W.; Soderholm, Sidney C.

    1990-01-01

    An aerosol generator is described which is capable of producing a monodisperse aerosol within narrow limits utilizing an aqueous solution capable of providing a high population of seed nuclei and an organic solution having a low vapor pressure. The two solutions are cold nebulized, mixed, vaporized, and cooled. During cooling, particles of the organic vapor condense onto the excess seed nuclei, and grow to a uniform particle size.

  18. ARM - Measurement - Aerosol effective radius

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Aerosol effective radius Aerosol effective radius is the ratio of the third and...

  19. Aerosol remote sensing in polar regions

    SciTech Connect (OSTI)

    Tomasi, Claudio; Kokhanovsky, Alexander A.; Lupi, Angelo; Ritter, Christoph; Smirnov, Alexander; O'Neill, Norman T.; Stone, Robert S.; Holben, Brent N.; Nyeki, Stephan; Mazzola, Mauro; Lanconelli, Christian; Vitale, Vito; Stebel, Kerstin; Aaltonen, Veijo; de Leeuw, Gerrit; Rodriguez, Edith; Herber, Andreas B.; Radionov, Vladimir F.; Zielinski, Tymon; Petelski, Tomasz; Sakerin, Sergey M.; Kabanov, Dmitry M.; Xue, Yong; Mei, Linlu; Istomina, Larysa; Wagener, Richard; McArthur, Bruce; Sobolewski, Piotr S.; Kivi, Rigel; Courcoux, Yann; Larouche, Pierre; Broccardo, Stephen; Piketh, Stuart J.

    2015-01-01

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness τ(λ) at visible and near-infrared wavelengths, from which best-fit values of Ångström's exponent α were calculated. Analysing these data, the monthly mean values of τ(0.50 μm) and α and the relative frequency histograms of the daily mean values of both parameters were determined for winter–spring and summer–autumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of α versus τ(0.50 μm) showed: (i) a considerable increase in τ(0.50 μm) for the Arctic aerosol from summer to winter–spring, without marked changes in α; and (ii) a marked increase in τ(0.50 μm) passing from the Antarctic Plateau to coastal sites, whereas α decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of τ(λ) and α at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-Ålesund. Satellite-based MODIS, MISR, and AATSR retrievals of τ(λ) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surface–atmosphere system over polar regions.

  20. Aerosol remote sensing in polar regions

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tomasi, Claudio; Kokhanovsky, Alexander A.; Lupi, Angelo; Ritter, Christoph; Smirnov, Alexander; O'Neill, Norman T.; Stone, Robert S.; Holben, Brent N.; Nyeki, Stephan; Wehrli, Christoph; et al

    2015-01-01

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness τ(λ) at visible and near-infrared wavelengths, from which best-fit values of Ångström's exponent α were calculated. Analysing these data, the monthly mean values of τ(0.50 μm) and α and the relative frequency histograms of the daily mean values of both parameters were determined for winter–spring and summer–autumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of α versus τ(0.50 μm) showed: (i)more » a considerable increase in τ(0.50 μm) for the Arctic aerosol from summer to winter–spring, without marked changes in α; and (ii) a marked increase in τ(0.50 μm) passing from the Antarctic Plateau to coastal sites, whereas α decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of τ(λ) and α at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-Ålesund. Satellite-based MODIS, MISR, and AATSR retrievals of τ(λ) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surface–atmosphere system over polar regions.« less

  1. Highly stable aerosol generator

    DOE Patents [OSTI]

    DeFord, H.S.; Clark, M.L.

    1981-11-03

    An improved compressed air nebulizer has been developed such that a uniform aerosol particle size and concentration may be produced over long time periods. This result is achieved by applying a vacuum pressure to the makeup assembly and by use of a vent tube between the atmosphere and the makeup solution. By applying appropriate vacuum pressures to the makeup solution container and by proper positioning of the vent tube, a constant level of aspirating solution may be maintained within the aspirating assembly with aspirating solution continuously replaced from the makeup solution supply. This device may also be adapted to have a plurality of aerosol generators and only one central makeup assembly. 2 figs.

  2. Highly stable aerosol generator

    DOE Patents [OSTI]

    DeFord, Henry S.; Clark, Mark L.

    1981-01-01

    An improved compressed air nebulizer has been developed such that a uniform aerosol particle size and concentration may be produced over long time periods. This result is achieved by applying a vacuum pressure to the makeup assembly and by use of a vent tube between the atmosphere and the makeup solution. By applying appropriate vacuum pressures to the makeup solution container and by proper positioning of the vent tube, a constant level of aspirating solution may be maintained within the aspirating assembly with aspirating solution continuously replaced from the makeup solution supply. This device may also be adapted to have a plurality of aerosol generators and only one central makeup assembly.

  3. Aerosol Observing System (AOS) Handbook

    SciTech Connect (OSTI)

    Jefferson, A

    2011-01-17

    The Aerosol Observing System (AOS) is a suite of in situ surface measurements of aerosol optical and cloud-forming properties. The instruments measure aerosol properties that influence the earths radiative balance. The primary optical measurements are those of the aerosol scattering and absorption coefficients as a function of particle size and radiation wavelength and cloud condensation nuclei (CCN) measurements as a function of percent supersaturation. Additional measurements include those of the particle number concentration and scattering hygroscopic growth. Aerosol optical measurements are useful for calculating parameters used in radiative forcing calculations such as the aerosol single-scattering albedo, asymmetry parameter, mass scattering efficiency, and hygroscopic growth. CCN measurements are important in cloud microphysical models to predict droplet formation.

  4. Ganges Valley Aerosol Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ganges Valley Aerosol Experiment In northeastern India, the fertile land around the Ganges River supports several hundred million people. This river, the largest in India, is fed by monsoon rains and runoff from the nearby Himalayan Mountains. Through an intergovernmental agreement with India, the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility deployed its portable laboratory, the ARM Mobile Facility (AMF), to Nainital, India, in June 2011. During

  5. Cantera Aerosol Dynamics Simulator

    Energy Science and Technology Software Center (OSTI)

    2004-09-01

    The Cantera Aerosol Dynamics Simulator (CADS) package is a general library for aerosol modeling to address aerosol general dynamics, including formation from gas phase reactions, surface chemistry (growth and oxidation), bulk particle chemistry, transport by Brownian diffusion, thermophoresis, and diffusiophoresis with linkage to DSMC studies, and thermal radiative transport. The library is based upon Cantera, a C++ Cal Tech code that handles gas phase species transport, reaction, and thermodynamics. The method uses a discontinuous galerkinmore » formulation for the condensation and coagulation operator that conserves particles, elements, and enthalpy up to round-off error. Both O-D and 1-D time dependent applications have been developed with the library. Multiple species in the solid phase are handled as well. The O-D application, called Tdcads (Time Dependent CADS) is distributed with the library. Tdcads can address both constant volume and constant pressure adiabatic homogeneous problems. An extensive set of sample problems for Tdcads is also provided.« less

  6. ARM Cloud Aerosol Precipitation Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Precipitation Experiment a NOAA ship in the Pacific Ocean and on a DOE- sponsored plane over land and sea. These researchers will study: (1) water sources, evolution and structure of atmospheric rivers over the Pacific Ocean (2) long range transport of aerosols over the Pacific Ocean between Hawaii and the U.S. West Coast, and how aerosols interact with atmospheric rivers (3) the point where atmospheric rivers make landfall on the U.S. West Coast, especially how clouds form where

  7. Aerosol Oxidation Speeds Up in Smoggy Air

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Oxidation Speeds Up in Smoggy Air Aerosol Oxidation Speeds Up in Smoggy Air Print Wednesday, 17 February 2016 11:37 Organic aerosols (nanometer-sized liquid or solid ...

  8. ARM - Measurement - Aerosol optical depth

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Modeling Testbed AOD : Aerosol Optical Depth, derived from atmospheric extinction of solar irradiance AATS : Ames Airborne Tracking Sunphotometer CSPHOT : Cimel Sunphotometer...

  9. People Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    People Profiles Featured Profile Peter Thelin The art of optics Read More Lisa Burrows Lisa Burrows Jeremy Huckins Jeremy Huckins Ibo Matthews Ibo Matthews Susanna Reyes Susana...

  10. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion...

  11. ARM - Campaign Instrument - aerosol-tower-eml

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (AEROSOL-TOWER-EML) Instrument Categories Aerosols Campaigns Remote Cloud Sensing (RCS) Field Evaluation Download Data Southern Great Plains, 1994.04.01 - 1994.05.31...

  12. ARM - Evaluation Product - Organic Aerosol Component VAP

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    mass spectral matrix data collected by the aerosol chemical speciation monitor and multivariate analysis to obtain an estimate of the types of organic aerosols. Currently, time...

  13. ARM - Field Campaign - MASRAD - Aerosol Optical Properties

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsMASRAD - Aerosol Optical Properties Campaign Links AMF Point Reyes Website ARM Data Discovery Browse Data Related Campaigns MArine Stratus Radiation Aerosol and Drizzle...

  14. Aerosol Oxidation Speeds Up in Smoggy Air

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Oxidation Speeds Up in Smoggy Air Print Organic aerosols (nanometer-sized liquid or solid particles suspended in air) are important constituents of the troposphere, and ...

  15. Impact of aerosol size representation on modeling aerosol-cloud interactions: AEROSOL SIZE REPRESENTATION

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zhang, Y.; Easter, R. C.; Ghan, S. J.; Abdul-Razzak, H.

    2002-11-07

    We use a 1-D version of a climate-aerosol-chemistry model with both modal and sectional aerosol size representations to evaluate the impact of aerosol size representation on modeling aerosol-cloud interactions in shallow stratiform clouds observed during the 2nd Aerosol Characterization Experiment. Both the modal (with prognostic aerosol number and mass or prognostic aerosol number, surface area and mass, referred to as the Modal-NM and Modal-NSM) and the sectional approaches (with 12 and 36 sections) predict total number and mass for interstitial and activated particles that are generally within several percent of references from a high resolution 108-section approach. The modal approachmore » with prognostic aerosol mass but diagnostic number (referred to as the Modal-M) cannot accurately predict the total particle number and surface areas, with deviations from the references ranging from 7-161%. The particle size distributions are sensitive to size representations, with normalized absolute differences of up to 12% and 37% for the 36- and 12-section approaches, and 30%, 39%, and 179% for the Modal-NSM, Modal-NM, and Modal-M, respectively. For the Modal-NSM and Modal-NM, differences from the references are primarily due to the inherent assumptions and limitations of the modal approach. In particular, they cannot resolve the abrupt size transition between the interstitial and activated aerosol fractions. For the 12- and 36-section approaches, differences are largely due to limitations of the parameterized activation for non-log-normal size distributions, plus the coarse resolution for the 12-section case. Differences are larger both with higher aerosol (i.e., less complete activation) and higher SO2 concentrations (i.e., greater modification of the initial aerosol distribution).« less

  16. General circulation model calculations of the direct radiative forcing by anthropogenic sulfate and fossil-fuel soot aerosol

    SciTech Connect (OSTI)

    Haywood, J.M.; Roberts, D.L.; Slingo, A.

    1997-07-01

    A new radiation code within a general circulation model is used to assess the direct solar and thermal radiative forcing by sulfate aerosol of anthropogenic origin and soot aerosol from fossil-fuel burning. The radiative effects of different aerosol profiles, relative humidity parameterizations, chemical compositions, and internal and external mixtures of the two aerosol types are investigated. The contribution to the radiative forcing from cloudy sky regions is found to be negligible for sulfate aerosol; this is in contrast to recent studies where the cloudy sky contribution was estimated using a method in which the spatial correlation between cloud amount and sulfate burden was ignored. However, the radiative forcing due to fossil-fuel soot aerosol is enhanced in cloudy regions if soot aerosol exists within or above the cloud. The global solar radiative forcing due to sulfate aerosol is estimated to be -0.38 W m{sup -2} and the global thermal radiative forcing is estimated to be +0.01 W m{sup -2}. The hemispheric mean radiative forcings vary by only about 10% for reasonable assumptions about the chemical form of the sulfate aerosol and the relative humidity dependence; the uncertainties in the aerosol loading are far more significant. If a soot/sulfate mass ratio of 0.075 is assumed, then the global solar radiative forcing weakens to -0.18 W m{sup -2} for an external mixture and weakens further for an internal mixture. Additionally, the spatial distribution of the radiative forcing shows strong negative/positive forcing contrasts that may influence the dynamical response of the atmosphere. Although these results are extremely sensitive to the adopted soot/sulfate ratio and the assumed vertical profile, they indicate that fossil-fuel soot aerosol may exert a nonnegligible radiative forcing and emphasize the need to consider each anthropogenic aerosol species. 58 refs., 8 figs., 1 tab.

  17. Alveolar targeting of aerosol pentamidine. Toward a rational delivery system

    SciTech Connect (OSTI)

    Simonds, A.K.; Newman, S.P.; Johnson, M.A.; Talaee, N.; Lee, C.A.; Clarke, S.W. )

    1990-04-01

    Nebulizer systems that deposit a high proportion of aerosolized pentamidine on large airways are likely to be associated with marked adverse side effects, which may lead to premature cessation of treatment. We have measured alveolar deposition and large airway-related side effects (e.g., cough, breathlessness, and effect on pulmonary function) after aerosolization of 150 mg pentamidine isethionate labeled with {sup 99m}Tc-Sn-colloid. Nine patients with AIDS were studied using three nebulizer systems producing different droplet size profiles: the Acorn System 22, Respirgard II, and Respirgard II with the inspiratory baffle removed. Alveolar deposition was greatest and side effects least with the nebulizer producing the smallest droplet size profile (Respirgard II), whereas large airway-related side effects were prominent and alveolar deposition lowest with the nebulizer producing the largest droplet size (Acorn System 22). Values for alveolar deposition and adverse airway effects were intermediate using the Respirgard with inspiratory baffle removed, thus indicating the importance of the baffle valve in determining droplet size. Addition of a similar baffle valve to the Acorn System 22 produced a marked improvement in droplet size profile. Selection of a nebulizer that produces an optimal droplet size range offers the advantage of enhancing alveolar targeting of aerosolized pentamidine while reducing large airway-related side effects.

  18. ARM - Campaign Instrument - drum-aerosol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govInstrumentsdrum-aerosol Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Drum Aerosol Sampler (DRUM-AEROSOL) Instrument Categories Aerosols Campaigns Aerosol IOP [ Download Data ] Southern Great Plains, 2003.05.01 - 2003.05.31 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the datastream (netcdf) file headers for the list of all available measurements, including

  19. Two-Column Aerosol Project

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Column Aerosol Project Tiny particles in the sky known as "aerosols" come in many forms-dust, soot, and sea salt, for example. Depending on the type of aerosol, it can either absorb or reflect sunlight, which in turn can cause either a warming or cooling effect in the atmosphere. But to what extent? The answer to this question is critical for scientists trying to envision what Earth's climate could be like 10, 50, and even 100 years from now. To help find the answer, the Department of

  20. eDPS Aerosol Collection

    SciTech Connect (OSTI)

    Venzie, J.

    2015-10-13

    The eDPS Aerosol Collection project studies the fundamental physics of electrostatic aerosol collection for national security applications. The interpretation of aerosol data requires understanding and correcting for biases introduced from particle genesis through collection and analysis. The research and development undertaken in this project provides the basis for both the statistical correction of existing equipment and techniques; as well as, the development of new collectors and analytical techniques designed to minimize unwanted biases while improving the efficiency of locating and measuring individual particles of interest.

  1. AERONET: The Aerosol Robotic Network

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    AERONET collaboration provides globally distributed observations of spectral aerosol optical Depth (AOD), inversion products, and precipitable water in diverse aerosol regimes. Aerosol optical depth data are computed for three data quality levels: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud screened and quality-assured). Inversions, precipitable water, and other AOD-dependent products are derived from these levels and may implement additional quality checks.[Copied from http://aeronet.gsfc.nasa.gov/new_web/system_descriptions.html

  2. Hyperspectral Aerosol Optical Depths from TCAP Flights

    SciTech Connect (OSTI)

    Shinozuka, Yohei; Johnson, Roy R.; Flynn, Connor J.; Russell, P. B.; Schmid, Beat; Redemann, Jens; Dunagan, Stephen; Kluzek, Celine D.; Hubbe, John M.; Segal-Rosenheimer, Michal; Livingston, J. M.; Eck, T.; Wagener, Richard; Gregory, L.; Chand, Duli; Berg, Larry K.; Rogers, Ray; Ferrare, R. A.; Hair, John; Hostetler, Chris A.; Burton, S. P.

    2013-11-13

    4STAR (Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research), the worlds first hyperspectral airborne tracking sunphotometer, acquired aerosol optical depths (AOD) at 1 Hz during all July 2012 flights of the Two Column Aerosol Project (TCAP). Root-mean square differences from AERONET ground-based observations were 0.01 at wavelengths between 500-1020 nm, 0.02 at 380 and 1640 nm and 0.03 at 440 nm in four clear-sky fly-over events, and similar in ground side-by-side comparisons. Changes in the above-aircraft AOD across 3-km-deep spirals were typically consistent with integrals of coincident in situ (on DOE Gulfstream 1 with 4STAR) and lidar (on NASA B200) extinction measurements within 0.01, 0.03, 0.01, 0.02, 0.02, 0.02 at 355, 450, 532, 550, 700, 1064 nm, respectively, despite atmospheric variations and combined measurement uncertainties. Finer vertical differentials of the 4STAR measurements matched the in situ ambient extinction profile within 14% for one homogeneous column. For the AOD observed between 350-1660 nm, excluding strong water vapor and oxygen absorption bands, estimated uncertainties were ~0.01 and dominated by (then) unpredictable throughput changes, up to +/-0.8%, of the fiber optic rotary joint. The favorable intercomparisons herald 4STARs spatially-resolved high-frequency hyperspectral products as a reliable tool for climate studies and satellite validation.

  3. Stratospheric aerosol geoengineering

    SciTech Connect (OSTI)

    Robock, Alan

    2015-03-30

    The Geoengineering Model Intercomparison Project, conducting climate model experiments with standard stratospheric aerosol injection scenarios, has found that insolation reduction could keep the global average temperature constant, but global average precipitation would reduce, particularly in summer monsoon regions around the world. Temperature changes would also not be uniform; the tropics would cool, but high latitudes would warm, with continuing, but reduced sea ice and ice sheet melting. Temperature extremes would still increase, but not as much as without geoengineering. If geoengineering were halted all at once, there would be rapid temperature and precipitation increases at 5–10 times the rates from gradual global warming. The prospect of geoengineering working may reduce the current drive toward reducing greenhouse gas emissions, and there are concerns about commercial or military control. Because geoengineering cannot safely address climate change, global efforts to reduce greenhouse gas emissions and to adapt are crucial to address anthropogenic global warming.

  4. Microsoft PowerPoint - 10_OGREN_ARM_AWG_IAP_200703.ppt [Compatibility Mode]

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    In-situ Aerosol Profiling (IAP) * Objectives - obtain aerosol climatology aloft - determine relevance of surface climatology to vertical column * Measurements Li ht b ti tt i d - Light absorption, scattering, and hemispheric backscattering - RH-dependence of scattering - Temperature and RH Cessna 172XP 3/2000 - 6/2005 Temperature and RH - Flask samples for trace gases (CO 2 ) * Flights - 9 levels 0 5-3 7 km asl (172XP) - 9 levels, 0.5-3.7 km asl (172XP) - 12 levels, 0.5-4.6 km asl (206) -

  5. ARM - Measurement - Aerosol backscattered radiation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Aerosol backscattered radiation The scattering of radiant energy into the hemisphere of space bounded by a ...

  6. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer SGP ripbe1mcfarlane Title: Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties.

  7. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer ripbe370mcfarlane Title: Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties.

  8. Collaborative research. Study of aerosol sources and processing at the GVAX Pantnagar Supersite

    SciTech Connect (OSTI)

    Worsnop, Doug; Volkamer, Rainer

    2012-08-13

    The Two Column Aerosol Project (TCAP) investigated uncertainties in the aerosol direct effect in the northern hemisphere mid-latitudes. The University of Colorado 2D-MAX-DOAS and LED-CE-DOAS instruments were collocated with DOE’s Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) and Mobile Aerosol Observing System (MAOS) during the TCAP-1 campaign at Cape Cod, MA (1 July to 13 August 2012). We have performed atmospheric radiation closure studies to evaluate the use of a novel parameter, i.e., the Raman Scattering Probability (RSP). We have performed first measurements of RSP almucantar scans, and measure RSP in spectra of scattered solar photons at 350nm and 430nm. Radiative Transfer Modelling of RSP demonstrate that the RSP measurement is maximally sensitive to infer even extremely low aerosol optical depth (AOD < 0.01) reliably by DOAS at low solar relative azimuth angles. We further assess the role of elevated aerosol layers on near surface observations of oxygen collision complexes, O 2-O2. Elevated aerosol layers modify the near surface absorption of O2-O2 and RSP. The combination of RSP and O2-O2 holds largely unexplored potential to better constrain elevated aerosol layers and measure column aerosol optical properties such as aerosol effective radius, extinction, aerosol phase functions and refractive indices. The TCAP deployment also provides a time series of reactive trace gas vertical profiles, i.e., nitrogen dioxide (NO2) and glyoxal (C2H2O2), which are measured simultaneously with the aerosol optical properties by DOAS. NO2 is an important precursor for ozone (O3) that modifies oxidative capacity. Glyoxal modifies oxidative capacity and is a source for brown carbon by forming secondary organic aerosol (SOA) via multiphase reactions in aerosol and cloud water. We have performed field measurements of these gases during TCAP, and conducted laboratory experiments to quantify for the first time the Setschenow salting constant, KS, of glyoxal in sulfate aerosols. Knowledge about KS is prerequisite to predict how increasing sulfate concentrations since pre-industrial times have modified the formation of SOA from biogenic gases in atmospheric models.

  9. Method for producing monodisperse aerosols

    DOE Patents [OSTI]

    Ortiz, Lawrence W.; Soderholm, Sidney C.

    1990-01-01

    An aerosol generator is described which is capable of producing a monodisperse aerosol within narrow limits utilizing an aqueous solution capable of providing a high population of seed nuclei and an organic solution having a low vapor pressure. The two solutions are cold nebulized, mixed, vaporized, and cooled. During cooling, particles of the organic vapor condense onto the excess seed nuclei, and grow to a uniform particle size.

  10. ARM: Tandem Differential Mobility Analyzer Aerosol Particle Sizer...

    Office of Scientific and Technical Information (OSTI)

    Subject: 54 Environmental Sciences Aerosol concentration; Aerosol particle size distribution; Hygroscopic growth; Particle number concentration; Particle size distribution Dataset ...

  11. ARM - Field Campaign - Fall 1997 Aerosol IOP

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Send Campaign : Fall 1997 Aerosol IOP 1997.09.15 - 1997.10.05 Lead Scientist : Stephen Schwartz For data sets, see below. Summary The Aerosol IOP was highlighted by the...

  12. ARM - Measurement - Aerosol particle size distribution

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AOS : Aerosol Observing System CSPHOT : Cimel Sunphotometer HTDMA : Humidified Tandem Differential Mobility Analyzer SMPS : Scanning mobility particle sizer TDMA : Tandem...

  13. Aerosol Oxidation Speeds Up in Smoggy Air

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Oxidation Speeds Up in Smoggy Air Aerosol Oxidation Speeds Up in Smoggy Air Print Wednesday, 17 February 2016 11:37 Organic aerosols (nanometer-sized liquid or solid particles suspended in air) are important constituents of the troposphere, and their chemistry has large-scale impacts on climate, pollution, and health. Accurate predictions of these aerosol impacts require a robust microphysical understanding of all relevant chemical reaction mechanisms and time scales, including those

  14. Aerosol Remote Sealing System - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Remote Sealing System Lawrence Berkeley National Laboratory Contact LBL About This Technology Technology Marketing SummaryMark Modera and Francois Remi Carrie from Berkeley National Laboratory have developed a rapid, economical technique to seal duct and other enclosed systems by means of an internally injected aerosol. DescriptionBerkeley National Laboratory's aerosol compound seals holes in enclosed systems and is effective even after bends and junctions. A unique, in situ aerosol

  15. Real time infrared aerosol analyzer

    DOE Patents [OSTI]

    Johnson, Stanley A.; Reedy, Gerald T.; Kumar, Romesh

    1990-01-01

    Apparatus for analyzing aerosols in essentially real time includes a virtual impactor which separates coarse particles from fine and ultrafine particles in an aerosol sample. The coarse and ultrafine particles are captured in PTFE filters, and the fine particles impact onto an internal light reflection element. The composition and quantity of the particles on the PTFE filter and on the internal reflection element are measured by alternately passing infrared light through the filter and the internal light reflection element, and analyzing the light through infrared spectrophotometry to identify the particles in the sample.

  16. Lidar techniques for chemical and aerosol air pollution studies

    SciTech Connect (OSTI)

    Hardesty, R.M.

    1993-12-31

    At the Wave Propagation Laboratory (WPL), lidar methods are being applied in several areas of air pollution research. Differential absorption lidar (DIAL) systems for measuring ozone, ethylene, and other pollutants have been recently developed. The ozone instrument profiles ozone concentration in the boundary layer and lower troposphere to study sources, sinks, and transport of ozone. A goal is to combine DIAL and Doppler lidar techniques for measurement of the vertical fluxes of ozone and other pollutants. Doppler lidars have been also used at WPL to study visibility reduction caused by aerosol pollutants at the Grand Canyon, and to investigate dispersion of hazardous emissions near the Rocky Flats nuclear plant.

  17. ARM - Surface Aerosol Observing System

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    FacilitiesSurface Aerosol Observing System AMF Information Science Architecture Baseline Instruments AMF1 AMF2 AMF3 MAOS Data Operations AMF Fact Sheet Images Contacts AMF Deployments McMurdo Station, Antarctica, 2015-2016 Pearl Harbor, Hawaii, to San Francisco, California, 2015 Hyytiälä, Finland, 2014 Manacapuru, Brazil, 2014 Oliktok Point, Alaska, 2013 Los Angeles, California, to Honolulu, Hawaii, 2012 Cape Cod, Massachusetts, 2012 Gan Island, Maldives, 2011 Ganges Valley, India, 2011

  18. ARM Aerosol Working Group Meeting

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and MFRSR Measurements ARM STM 2008 Norfolk, VA Connor Flynn 1 , Annette Koontz 1 , Anne Jefferson 2 , Jim Barnard 1 , Sally McFarlane 1 1 Pacific Northwest National Laboratory 2 CIRES, University of Colorado, Boulder Progress towards ARM DOE 2008 Performance Metric 3 & 4 * Produce and make available new continuous time series of aerosol total column depth, based on results from the AMF deployment in Niger, Africa. * Produce and make available new continuous time series of retrieved dust

  19. Two-Column Aerosol Project (TCAP): Ground-Based Radiation and Aerosol

    Office of Scientific and Technical Information (OSTI)

    Validation Using the NOAA Mobile SURFRAD Station Field Campaign Report (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Two-Column Aerosol Project (TCAP): Ground-Based Radiation and Aerosol Validation Using the NOAA Mobile SURFRAD Station Field Campaign Report Citation Details In-Document Search Title: Two-Column Aerosol Project (TCAP): Ground-Based Radiation and Aerosol Validation Using the NOAA Mobile SURFRAD Station Field Campaign Report The National

  20. The LANL Cloud-Aerosol Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The K-25 Story The K-25 Story Addthis Description The K-25 Story

    The LANL Cloud-Aerosol Model Reisner, Jon Los Alamos National Laboratory Category: Modeling Additional Authors: Dubey Manvendra, Chris Jeffery, Miroslaw Andrejczuk, and Dave Moulton A cloud-aerosol modeling framework is being developed at Los Alamos National Laboratory that incorporates two unique aspects in its formulation. First, the model employs a nonlinear solver that requires cloud-aerosol parameterizations be smooth or

  1. Researchers Model Impact of Aerosols Over California

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Researchers Model Impact of Aerosols Over California Researchers Model Impact of Aerosols Over California Research may clarify the effectiveness of regional pollution controls May 28, 2013 Contact: Linda Vu, lvu@lbl.gov, (510) 495-2404 LosAngelesSmogv1.jpg Smog over downtown Los Angeles. Aerosols are microscopic particles-like dust, pollen and soot-that ubiquitously float around in our atmosphere. Despite their tiny stature, these particles can have a huge impact on human health, climate and the

  2. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  3. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  4. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  5. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Composition and Reactions of Atmospheric Aerosol Particles Print Wednesday, 29 June 2005 00:00 Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the

  6. Aerosol Oxidation Speeds Up in Smoggy Air

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Oxidation Speeds Up in Smoggy Air Print Organic aerosols (nanometer-sized liquid or solid particles suspended in air) are important constituents of the troposphere, and their chemistry has large-scale impacts on climate, pollution, and health. Accurate predictions of these aerosol impacts require a robust microphysical understanding of all relevant chemical reaction mechanisms and time scales, including those involving highly reactive free-radical molecules. However, detailed modeling is

  7. Aerosol Oxidation Speeds Up in Smoggy Air

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Oxidation Speeds Up in Smoggy Air Print Organic aerosols (nanometer-sized liquid or solid particles suspended in air) are important constituents of the troposphere, and their chemistry has large-scale impacts on climate, pollution, and health. Accurate predictions of these aerosol impacts require a robust microphysical understanding of all relevant chemical reaction mechanisms and time scales, including those involving highly reactive free-radical molecules. However, detailed modeling is

  8. Aerosol Oxidation Speeds Up in Smoggy Air

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Oxidation Speeds Up in Smoggy Air Print Organic aerosols (nanometer-sized liquid or solid particles suspended in air) are important constituents of the troposphere, and their chemistry has large-scale impacts on climate, pollution, and health. Accurate predictions of these aerosol impacts require a robust microphysical understanding of all relevant chemical reaction mechanisms and time scales, including those involving highly reactive free-radical molecules. However, detailed modeling is

  9. Aerosol Working Group Contributions Accomplishments for 2006

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Contributions Accomplishments for 2006 Aerosol IOP '03 Field Campaign Yields 18-Paper Special Issue of JGR The ARM Aerosol Intensive Operation Period (IOP) field campaign in 2003 has yielded an unprecedented eighteen peer-reviewed papers published in a special issue of the Journal of Geophysical Research. These papers capture the state of the science in terms of measurement of the optical properties of ambient-state aerosols. This special issue includes results from successful

  10. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  11. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  12. Characterizing Aerosol Distributions and Optical Properties Using the NASA Langley High Spectral Resolution Lidar

    SciTech Connect (OSTI)

    Hostetler, Chris; Ferrare, Richard

    2013-02-14

    The objective of this project was to provide vertically and horizontally resolved data on aerosol optical properties to assess and ultimately improve how models represent these aerosol properties and their impacts on atmospheric radiation. The approach was to deploy the NASA Langley Airborne High Spectral Resolution Lidar (HSRL) and other synergistic remote sensors on DOE Atmospheric Science Research (ASR) sponsored airborne field campaigns and synergistic field campaigns sponsored by other agencies to remotely measure aerosol backscattering, extinction, and optical thickness profiles. Synergistic sensors included a nadir-viewing digital camera for context imagery, and, later in the project, the NASA Goddard Institute for Space Studies (GISS) Research Scanning Polarimeter (RSP). The information from the remote sensing instruments was used to map the horizontal and vertical distribution of aerosol properties and type. The retrieved lidar parameters include profiles of aerosol extinction, backscatter, depolarization, and optical depth. Products produced in subsequent analyses included aerosol mixed layer height, aerosol type, and the partition of aerosol optical depth by type. The lidar products provided vertical context for in situ and remote sensing measurements from other airborne and ground-based platforms employed in the field campaigns and was used to assess the predictions of transport models. Also, the measurements provide a data base for future evaluation of techniques to combine active (lidar) and passive (polarimeter) measurements in advanced retrieval schemes to remotely characterize aerosol microphysical properties. The project was initiated as a 3-year project starting 1 January 2005. It was later awarded continuation funding for another 3 years (i.e., through 31 December 2010) followed by a 1-year no-cost extension (through 31 December 2011). This project supported logistical and flight costs of the NASA sensors on a dedicated aircraft, the subsequent analysis and archival of the data, and the presentation of results in conferences, workshops, and publications. DOE ASR field campaigns supported under this project included - MAX-Mex /MILAGRO (2006) - TexAQS 2006/GoMACCS (2006) - CHAPS (2007) - RACORO (2009) - CARE/CalNex (2010) In addition, data acquired on HSRL airborne field campaigns sponsored by other agencies were used extensively to fulfill the science objectives of this project and the data acquired have been made available to other DOE ASR investigators upon request.

  13. Potential Aerosol Indirect Effects on Atmospheric Circulation...

    Office of Scientific and Technical Information (OSTI)

    We further elucidated how aerosols change convective intensity, diabatic heating, and regional circulation under different environmental conditions and concluded that wind shear ...

  14. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    refine the computer models used to predict climate change. Tiny Specks with Large Effects Most people equate aerosols with hairspray and household cleaning products, but a...

  15. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused particle growth while...

  16. ARM: Ultrahigh Sensitivity Aerosol Spectrometer (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Ultrahigh Sensitivity Aerosol Spectrometer Authors: Cynthia Salwen ; Derek Hageman ; Bill Behrens ; Scott Smith ; Janek Uin ; Janek Uin ; Cynthia Salwen ; Annette Koontz ; Annette ...

  17. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    results will help climate scientists refine the computer models used to predict climate change. Tiny Specks with Large Effects Most people equate aerosols with hairspray and...

  18. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    will help climate scientists refine the computer models used to predict climate change. Tiny Specks with Large Effects Most people equate aerosols with hairspray and...

  19. Aerosol indirect effects - general circulation model intercomparison...

    Office of Scientific and Technical Information (OSTI)

    We compute statistical relationships between aerosol optical depth (a) and various cloud ... Nevertheless, the strengths of the statistical relationships are good predictors for the ...

  20. ARM - Two-Column Aerosol Project (TCAP)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    science objectives, the Atmospheric Radiation Measurement (ARM) Climate Research Facility will deploy the ARM Mobile Facility and the Mobile Aerosol Observing System on Cape...

  1. ARM - Field Campaign - Measurement of Aerosols, Radiation and...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the Southern Ocean Clouds Radiation Transport Aerosol Transport Experimental Study (SOCRATES) has been proposed to improve our understanding of clouds, aerosols, air-sea...

  2. Natural Aerosols Explain Seasonal and Spatial Patterns of Southern...

    Office of Scientific and Technical Information (OSTI)

    that modeled natural aerosols, principally marine biogenic primary and secondary aerosol sources, explain more than half of the spatiotemporal variability in satellite-observed Nd. ...

  3. ARM - Field Campaign - Pajarito Aerosol Coupling to Ecosystems...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (PJ) woodland site used for DOE sponsored ecosystem research to measure the aerosol life cycle of biogenic (secondary organic aerosol formation from sesquiterpenes) and smoke...

  4. Aerosol Retrievals from ARM SGP MFRSR Data (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Aerosol Retrievals from ARM SGP MFRSR Data Title: Aerosol Retrievals from ARM SGP MFRSR Data The Multi-Filter Rotating Shadowband Radiometer (MFRSR) makes precise simultaneous ...

  5. Long-term measurements of submicrometer aerosol chemistry at...

    Office of Scientific and Technical Information (OSTI)

    Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM) Citation ... Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM) In this study ...

  6. Science Plan Biogenic Aerosols - Effects on Clouds and Climate...

    Office of Scientific and Technical Information (OSTI)

    In spite of recent advances in the understanding of aerosol formation processes and the links between aerosol dynamics and biosphere-atmosphere-climate interactions, great ...

  7. Biogenic Aerosols-Effects on Clouds and Climate (BAECC) Final...

    Office of Scientific and Technical Information (OSTI)

    In spite of recent advances in the understanding of aerosol formation processes and the links between aerosol dynamics and biosphere-atmosphere-climate interactions, great ...

  8. The Indirect and Semi-Direct Aerosol Campaign

    SciTech Connect (OSTI)

    Ghan, Steve

    2014-03-24

    Research projects like the Indirect and Semi-Direct Aerosol Campaign, or ISDAC, increase our knowledge of atmospheric aerosol particles and cloud physics.

  9. ARM - Field Campaign - Aerosol and Cloud Experiments in the Eastern...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    horizontal variabilities of aerosol, trace gases, cloud, drizzle, and atmospheric thermodynamics are critically needed for understanding and quantifying the budget of MBL aerosol,...

  10. ARM - Field Campaign - Carbonaceous Aerosol and Radiative Effects...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsCarbonaceous Aerosol and Radiative Effects Study (CARES) Campaign Links CARES Website ARM Data Discovery Browse Data Related Campaigns Carbonaceous Aerosol and...

  11. ARM - Field Campaign - Carbonaceous Aerosol and Radiation Effects...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Photo-Acoustic Aerosol Light Absorption and Scattering Campaign Links ARM Data Discovery Browse Data Related Campaigns Carbonaceous Aerosol and Radiative Effects Study (CARES)...

  12. The Indirect and Semi-Direct Aerosol Campaign

    ScienceCinema (OSTI)

    Ghan, Steve

    2014-06-12

    Research projects like the Indirect and Semi-Direct Aerosol Campaign, or ISDAC, increase our knowledge of atmospheric aerosol particles and cloud physics.

  13. ARM: Aerosol Observing System (AOS): cloud condensation nuclei...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: Aerosol Observing System (AOS): cloud condensation nuclei data Aerosol Observing System (AOS): cloud condensation nuclei data Authors: Scott Smith ; Cynthia Salwen ; ...

  14. Cloud Condensation Nuclei Activity of Aerosols during GoAmazon...

    Office of Scientific and Technical Information (OSTI)

    microphysical properties of the aerosol." The Observations and Modeling of the Green Ocean Amazon (GoAmazon 201415) study seeks to understand how aerosol and cloud life cycles ...

  15. Aerosol specification in single-column Community Atmosphere Model...

    Office of Scientific and Technical Information (OSTI)

    Aerosol specification in single-column Community Atmosphere Model version 5 Title: Aerosol specification in single-column Community Atmosphere Model version 5 Single-column model ...

  16. Discrimination between thin cirrus and and tropospheric aerosol...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discrimination between thin cirrus and and tropospheric aerosol using multiple measurements from Darwin ARCS Mitchell, Ross CSIRO Category: Aerosols Thin cirrus cloud occurs...

  17. AEROSOL PARTICLE COLLECTOR DESIGN STUDY

    SciTech Connect (OSTI)

    Lee, S; Richard Dimenna, R

    2007-09-27

    A computational evaluation of a particle collector design was performed to evaluate the behavior of aerosol particles in a fast flowing gas stream. The objective of the work was to improve the collection efficiency of the device while maintaining a minimum specified air throughput, nominal collector size, and minimal power requirements. The impact of a range of parameters was considered subject to constraints on gas flow rate, overall collector dimensions, and power limitations. Potential improvements were identified, some of which have already been implemented. Other more complex changes were identified and are described here for further consideration. In addition, fruitful areas for further study are proposed.

  18. CARES: Carbonaceous Aerosol and Radiative Effects Study Science Plan

    SciTech Connect (OSTI)

    Zaveri, RA; Shaw, WJ; Cziczo, DJ

    2010-05-27

    Carbonaceous aerosol components, which include black carbon (BC), urban primary organic aerosols (POA), biomass burning aerosols, and secondary organic aerosols (SOA) from both urban and biogenic precursors, have been previously shown to play a major role in the direct and indirect radiative forcing of climate. The primary objective of the CARES 2010 intensive field study is to investigate the evolution of carbonaceous aerosols of different types and their effects on optical and cloud formation properties.

  19. Natural Radionuclides and Isotopic Signatures for Determining Carbonaceous Aerosol Sources, Aerosol Lifetimes, and Washout Processes

    SciTech Connect (OSTI)

    Gaffney, Jeffrey

    2012-12-12

    This is the final technical report. The project description is as follows: to determine the role of aerosol radiative forcing on climate, the processes that control their atmospheric concentrations must be understood, and aerosol sources need to be determined for mitigation. Measurements of naturally occurring radionuclides and stable isotopic signatures allow the sources, removal and transport processes, as well as atmospheric lifetimes of fine carbonaceous aerosols, to be evaluated.

  20. ARM - Field Campaign - 2006 MAX-Mex-Megacity Aerosol eXperiment...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    characterization of the aerosols, on aerosol transformations including aging of the black carbon during outflow from the region, and on the effects of the megacity aerosol plume on...

  1. Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds

    SciTech Connect (OSTI)

    Richard A. Ferrare; David D. Turner

    2011-09-01

    Project goals: (1) Use the routine surface and airborne measurements at the ARM SGP site, and the routine surface measurements at the NSA site, to continue our evaluations of model aerosol simulations; (2) Determine the degree to which the Raman lidar measurements of water vapor and aerosol scattering and extinction can be used to remotely characterize the aerosol humidification factor; (3) Use the high temporal resolution CARL data to examine how aerosol properties vary near clouds; and (4) Use the high temporal resolution CARL and Atmospheric Emitted Radiance Interferometer (AERI) data to quantify entrainment in optically thin continental cumulus clouds.

  2. ARM - Evaluation Product - Aerosol Modeling Testbed

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and satellite aerosol optical depth data is included to supplement and enhance the value of the CARES data. The software that is provided in AMT extracts model output from...

  3. Long-Term Measurements of Submicrometer Aerosol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    non-refractory submicron particulate matter (NR-PM1) including organic aerosol (OA), sulfate (SO 4 2- ), nitrate (NO 3 - ), ammonium (NH 4 + ), and chloride (Cl-). In this study,...

  4. ARM - Field Campaign - Aerosol Lidar Validation Experiment -...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsAerosol Lidar Validation Experiment - ALIVE Campaign Links ALIVE Website ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below...

  5. ARM - Field Campaign - MASRAD: Marine Aerosol Properties

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsMASRAD: Marine Aerosol Properties Campaign Links AMF Point Reyes Website Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA....

  6. Electrically Driven Technologies for Radioactive Aerosol Abatement

    SciTech Connect (OSTI)

    David W. DePaoli; Ofodike A. Ezekoye; Costas Tsouris; Valmor F. de Almeida

    2003-01-28

    The purpose of this research project was to develop an improved understanding of how electriexecy driven processes, including electrocoalescence, acoustic agglomeration, and electric filtration, may be employed to efficiently treat problems caused by the formation of aerosols during DOE waste treatment operations. The production of aerosols during treatment and retrieval operations in radioactive waste tanks and during thermal treatment operations such as calcination presents a significant problem of cost, worker exposure, potential for release, and increased waste volume.

  7. Study of Aerosol Indirect Effects in China

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Indirect Effects in China In 2008, the U.S. Department of Energy (DOE)'s Atmospheric Radiation Measurement (ARM) Climate Research Facility is providing the ARM Mobile Facility (AMF) to conduct a comprehensive investigation of regional aerosol impacts in China as part of a joint program with the Institute of Atmospheric Physics, Chinese Academy of Sciences. The joint program is under the "Climate Sciences" agreement established in 1987 between the DOE and China Ministry of

  8. Apparatus for sampling and characterizing aerosols

    DOE Patents [OSTI]

    Dunn, P.F.; Herceg, J.E.; Klocksieben, R.H.

    1984-04-11

    Apparatus for sampling and characterizing aerosols having a wide particle size range at relatively low velocities may comprise a chamber having an inlet and an outlet, the chamber including: a plurality of vertically stacked, successive particle collection stages; each collection stage includes a separator plate and a channel guide mounted transverse to the separator plate, defining a labyrinthine flow path across the collection stage. An opening in each separator plate provides a path for the aerosols from one collection stage t

  9. Aerosol fabrication methods for monodisperse nanoparticles

    DOE Patents [OSTI]

    Jiang, Xingmao; Brinker, C Jeffrey

    2014-10-21

    Exemplary embodiments provide materials and methods for forming monodisperse particles. In one embodiment, the monodisperse particles can be formed by first spraying a nanoparticle-containing dispersion into aerosol droplets and then heating the aerosol droplets in the presence of a shell precursor to form core-shell particles. By removing either the shell layer or the nanoparticle core of the core-shell particles, monodisperse nanoparticles can be formed.

  10. Impact of aerosol size representation on modeling aerosol-cloud interactions

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zhang, Y.; Easter, R. C.; Ghan, S. J.; Abdul-Razzak, H.

    2002-11-07

    In this study, we use a 1-D version of a climate-aerosol-chemistry model with both modal and sectional aerosol size representations to evaluate the impact of aerosol size representation on modeling aerosol-cloud interactions in shallow stratiform clouds observed during the 2nd Aerosol Characterization Experiment. Both the modal (with prognostic aerosol number and mass or prognostic aerosol number, surface area and mass, referred to as the Modal-NM and Modal-NSM) and the sectional approaches (with 12 and 36 sections) predict total number and mass for interstitial and activated particles that are generally within several percent of references from a high resolution 108-section approach.more » The modal approach with prognostic aerosol mass but diagnostic number (referred to as the Modal-M) cannot accurately predict the total particle number and surface areas, with deviations from the references ranging from 7-161%. The particle size distributions are sensitive to size representations, with normalized absolute differences of up to 12% and 37% for the 36- and 12-section approaches, and 30%, 39%, and 179% for the Modal-NSM, Modal-NM, and Modal-M, respectively. For the Modal-NSM and Modal-NM, differences from the references are primarily due to the inherent assumptions and limitations of the modal approach. In particular, they cannot resolve the abrupt size transition between the interstitial and activated aerosol fractions. For the 12- and 36-section approaches, differences are largely due to limitations of the parameterized activation for non-log-normal size distributions, plus the coarse resolution for the 12-section case. Differences are larger both with higher aerosol (i.e., less complete activation) and higher SO2 concentrations (i.e., greater modification of the initial aerosol distribution).« less

  11. WRF-Chem Simulations of Aerosols and Anthropogenic Aerosol Radiative Forcing in East Asia

    SciTech Connect (OSTI)

    Gao, Yi; Zhao, Chun; Liu, Xiaohong; Zhang, Meigen; Leung, Lai-Yung R.

    2014-08-01

    This study aims to provide a first comprehensive evaluation of WRF-Chem for modeling aerosols and anthropogenic aerosol radiative forcing (RF) over East Asia. Several numerical experiments were conducted from November 2007 to December 2008. Comparison between model results and observations shows that the model can generally reproduce the observed spatial distributions of aerosol concentration, aerosol optical depth (AOD) and single scattering albedo (SSA) from measurements at different sites, including the relatively higher aerosol concentration and AOD over East China and the relatively lower AOD over Southeast Asia, Korean, and Japan. The model also depicts the seasonal variation and transport of pollutions over East Asia. Particulate matter of 10 um or less in the aerodynamic diameter (PM10), black carbon (BC), sulfate (SO42-), nitrate (NO3-) and ammonium (NH4+) concentrations are higher in spring than other seasons in Japan due to the pollutant transport from polluted area of East Asia. AOD is high over Southwest and Central China in winter, spring and autumn and over North China in summer while is low over South China in summer due to monsoon precipitation. SSA is lowest in winter and highest in summer. The model also captures the dust events at the Zhangye site in the semi-arid region of China. Anthropogenic aerosol RF is estimated to range from -5 to -20 W m-2 over land and -20 to -40 W m-2 over ocean at the top of atmosphere (TOA), 5 to 30 W m-2 in the atmosphere (ATM) and -15 to -40 W m-2 at the bottom (BOT). The warming effect of anthropogenic aerosol in ATM results from BC aerosol while the negative aerosol RF at TOA is caused by scattering aerosols such as SO4 2-, NO3 - and NH4+. Positive BC RF at TOA compensates 40~50% of the TOA cooling associated with anthropogenic aerosol.

  12. The First Aerosol Indirect Effect: Beyond Twomey

    SciTech Connect (OSTI)

    Liu, Y.; Dunn, M.; Daum, P.

    2008-03-10

    The traditional first aerosol indirect effect or the Twomey effect involves several fundamental assumptions. Some of the assumptions (e.g., constant liquid water content) are explicitly stated in studies of the Twomey effect whereas others are only implicitly embedded in the quantitative formulation. This work focuses on examining the implicit assumptions. In particular, we will show that anthropogenic pollution not only increases aerosol loading and droplet concentrations but also alters the relative dispersions of both the aerosol and subsequent droplet size distributions. The indirect effects resulting from the two altered relative dispersions (aerosol dispersion effect and droplet dispersion effect) are likely opposite in sign and proportional in magnitude to the conventional Twomey effect. This result suggests that the outstanding problems of the Twomey effect (i.e., large uncertainty and overestimation reported in literature) may lie with violation of the constant spectral shapes of aerosol and droplet size distributions implicitly assumed in evaluation of the Twomey effect, and therefore, further progress in understanding and quantification of the first aerosol indirect effect demands moving beyond the traditional paradigm originally conceived by Twomey.

  13. Modeling LIDAR Detection of Biological Aerosols to Determine Optimum Implementation Strategy

    SciTech Connect (OSTI)

    Sheen, David M.; Aker, Pam M.

    2007-09-19

    This report summarizes work performed for a larger multi-laboratory project named the Background Interferent Measurement and Standards project. While originally tasked to develop algorithms to optimize biological warfare agent detection using UV fluorescence LIDAR, the current uncertainties in the reported fluorescence profiles and cross sections the development of any meaningful models. It was decided that a better approach would be to model the wavelength-dependent elastic backscattering from a number of ambient background aerosol types, and compare this with that generated from representative sporulated and vegetative bacterial systems. Calculations in this report show that a 266, 355, 532 and 1064 nm elastic backscatter LIDAR experiment will allow an operator to immediately recognize when sulfate, VOC-based or road dust (silicate) aerosols are approaching, independent of humidity changes. It will be more difficult to distinguish soot aerosols from biological aerosols, or vegetative bacteria from sporulated bacteria. In these latter cases, the elastic scattering data will most likely have to be combined with UV fluorescence data to enable a more robust categorization.

  14. Project Overview: Cumulus Humilis Aerosol Processing Study (CHAPS): Proposed Summer 2007 ASP Field Campaign

    SciTech Connect (OSTI)

    Berkowitz, Carl M.; Berg, Larry K.; Ogren, J. A.; Hostetler, Chris A.; Ferrare, Richard

    2006-05-18

    This white paper presents the scientific motivation and preliminary logistical plans for a proposed ASP field campaign to be carried out in the summer of 2007. The primary objective of this campaign is to use the DOE Gulfstream-1 aircraft to make measurements characterizing the chemical, physical and optical properties of aerosols below, within and above large fields of fair weather cumulus and to use the NASA Langley Research Centers High Spectral Resolution Lidar (HSRL) to make independent measurements of aerosol backscatter and extinction profiles in the vicinity of these fields. Separate from the science questions to be addressed by these observations will be information to add in the development of a parameterized cumulus scheme capable of including multiple cloud fields within a regional or global scale model. We will also be able to compare and contrast the cloud and aerosol properties within and outside the Oklahoma City plume to study aerosol processes within individual clouds. Preliminary discussions with the Cloud and Land Surface Interaction Campaign (CLASIC) science team have identified overlap between the science questions posed for the CLASIC Intensive Operation Period (IOP) and the proposed ASP campaign, suggesting collaboration would benefit both teams.

  15. Lidar Measurements of the Vertical Distribution of Aerosol Optical and Physical Properties over Central Asia

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Chen, Boris B.; Sverdlik, Leonid G.; Imashev, Sanjar A.; Solomon, Paul A.; Lantz, Jeffrey; Schauer, James J.; Shafer, Martin M.; Artamonova, Maria S.; Carmichael, Gregory R.

    2013-01-01

    The vertical structure of aerosol optical and physical properties was measured by Lidar in Eastern Kyrgyzstan, Central Asia, from June 2008 to May 2009. Lidar measurements were supplemented with surface-based measurements of PM 2.5 and PM 10 mass and chemical composition in both size fractions. Dust transported into the region is common, being detected 33% of the time. The maximum frequency occurred in the spring of 2009. Dust transported to Central Asia comes from regional sources, for example, Taklimakan desert and Aral Sea basin, and from long-range transport, for example, deserts of Arabia, Northeast Africa, Iran, and Pakistan. Regionalmore » sources are characterized by pollution transport with maximum values of coarse particles within the planetary boundary layer, aerosol optical thickness, extinction coefficient, integral coefficient of aerosol backscatter, and minimum values of the Ångström exponent. Pollution associated with air masses transported over long distances has different characteristics during autumn, winter, and spring. During winter, dust emissions were low resulting in high values of the Ångström exponent (about 0.51) and the fine particle mass fraction (64%). Dust storms were more frequent during spring with an increase in coarse dust particles in comparison to winter. The aerosol vertical profiles can be used to lower uncertainty in estimating radiative forcing.« less

  16. Final Technical Report for Interagency Agreement No. DE-SC0005453 “Characterizing Aerosol Distributions, Types, and Optical and Microphysical Properties using the NASA Airborne High Spectral Resolution Lidar (HSRL) and the Research Scanning Polarimeter (RSP)”

    SciTech Connect (OSTI)

    Hostetler, Chris; Ferrare, Richard

    2015-01-13

    Measurements of the vertical profile of atmospheric aerosols and aerosol optical and microphysical characteristics are required to: 1) determine aerosol direct and indirect radiative forcing, 2) compute radiative flux and heating rate profiles, 3) assess model simulations of aerosol distributions and types, and 4) establish the ability of surface and space-based remote sensors to measure the indirect effect. Consequently the ASR program calls for a combination of remote sensing and in situ measurements to determine aerosol properties and aerosol influences on clouds and radiation. As part of our previous DOE ASP project, we deployed the NASA Langley airborne High Spectral Resolution Lidar (HSRL) on the NASA B200 King Air aircraft during major field experiments in 2006 (MILAGRO and MaxTEX), 2007 (CHAPS), 2009 (RACORO), and 2010 (CalNex and CARES). The HSRL provided measurements of aerosol extinction (532 nm), backscatter (532 and 1064 nm), and depolarization (532 and 1064 nm). These measurements were typically made in close temporal and spatial coincidence with measurements made from DOE-funded and other participating aircraft and ground sites. On the RACORO, CARES, and CalNEX missions, we also deployed the NASA Goddard Institute for Space Studies (GISS) Research Scanning Polarimeter (RSP). RSP provided intensity and degree of linear polarization over a broad spectral and angular range enabling column-average retrievals of aerosol optical and microphysical properties. Under this project, we analyzed observations and model results from RACORO, CARES, and CalNex and accomplished the following objectives. 1. Identified aerosol types, characterize the vertical distribution of the aerosol types, and partition aerosol optical depth by type, for CARES and CalNex using HSRL data as we have done for previous missions. 2. Investigated aerosol microphysical and macrophysical properties using the RSP. 3. Used the aerosol backscatter and extinction profiles measured by the HSRL to characterize the planetary boundary layer height (PBL) and the transition zone thickness, for the RACORO and CARES and CalNex campaigns as we have done for previous campaigns. 4. Investigated how optical properties measured by HSRL vary near clouds. 5. Assessed model simulations of aerosol spatial distributions and optical and microphysical properties.

  17. Aerosol Characterization Data from the Asian Pacific Regional Aerosol Characterization Project (ACE-Asia)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Aerosol Characterization Experiments (ACE) were designed to increase understanding of how atmospheric aerosol particles affect the Earth's climate system. These experiments integrated in-situ measurements, satellite observations, and models to reduce the uncertainty in calculations of the climate forcing due to aerosol particles and improve the ability of models to predict the influences of aerosols on the Earth's radiation balance. ACE-Asia was the fourth in a series of experiments organized by the International Global Atmospheric Chemistry (IGAC) Program (A Core Project of the International Geosphere Biosphere Program). The Intensive Field Phase for ACE-Asia took place during the spring of 2001 (mid-March through early May) off the coast of China, Japan and Korea. ACE-Asia pursued three specific objectives: 1) Determine the physical, chemical, and radiative properties of the major aerosol types in the Eastern Asia and Northwest Pacific region and investigate the relationships among these properties. 2) Quantify the physical and chemical processes controlling the evolution of the major aerosol types and in particular their physical, chemical, and radiative properties. 3) Develop procedures to extrapolate aerosol properties and processes from local to regional and global scales, and assess the regional direct and indirect radiative forcing by aerosols in the Eastern Asia and Northwest Pacific region [Edited and shortened version of summary at http://data.eol.ucar.edu/codiac/projs?ACE-ASIA]. The Ace-Asia collection contains 174 datasets.

  18. Improvement in Clouds and the Earth's Radiant Energy System/Surface and Atmosphere Radiation Budget Dust Aerosol Properties, Effects on Surface Validation of Clouds and Radiative Swath

    SciTech Connect (OSTI)

    Rutan, D.; Rose, F.; Charlock, T.P.

    2005-03-18

    Within the Clouds and the Earth's Radiant Energy System (CERES) science team (Wielicki et al. 1996), the Surface and Atmospheric Radiation Budget (SARB) group is tasked with calculating vertical profiles of heating rates, globally, and continuously, beneath CERES footprint observations of Top of Atmosphere (TOA) fluxes. This is accomplished using a fast radiative transfer code originally developed by Qiang Fu and Kuo-Nan Liou (Fu and Liou 1993) and subsequently highly modified by the SARB team. Details on the code and its inputs can be found in Kato et al. (2005) and Rose and Charlock (2002). Among the many required inputs is characterization of the vertical column profile of aerosols beneath each footprint. To do this SARB combines aerosol optical depth information from the moderate-resolution imaging spectroradiometer (MODIS) instrument along with aerosol constituents specified by the Model for Atmosphere and Chemical Transport (MATCH) of Collins et al. (2001), and aerosol properties (e.g. single scatter albedo and asymmetry parameter) from Tegen and Lacis (1996) and OPAC (Hess et al. 1998). The publicly available files that include these flux profiles, called the Clouds and Radiative Swath (CRS) data product, available from the Langley Atmospheric Sciences Data Center (http://eosweb.larc.nasa.gov/). As various versions of the code are completed, publishable results are named ''Editions.'' After CRS Edition 2A was finalized it was found that dust aerosols were too absorptive. Dust aerosols have subsequently been modified using a new set of properties developed by Andy Lacis and results have been released in CRS Edition 2B. This paper discusses the effects of changing desert dust aerosol properties, which can be significant for the radiation budget in mid ocean, a few thousand kilometers from the source regions. Resulting changes are validated via comparison of surface observed fluxes from the Saudi Solar Village surface site (Myers et al. 1999), and the E13 site at the Atmospheric Radiation Measurement (ARM), Southern Great Plains (SGP) central facility.

  19. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer ...

  20. LANSCE | News & Media | Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    background News Multimedia Events Profiles Highlights Activity Reports The Pulse User Program Headlines News & Media dotline LANSCE Profiles Kurt Schoenberg: Steering LANSCE for ...

  1. Aerosol beam-focus laser-induced plasma spectrometer device

    DOE Patents [OSTI]

    Cheng, Meng-Dawn

    2002-01-01

    An apparatus for detecting elements in an aerosol includes an aerosol beam focuser for concentrating aerosol into an aerosol beam; a laser for directing a laser beam into the aerosol beam to form a plasma; a detection device that detects a wavelength of a light emission caused by the formation of the plasma. The detection device can be a spectrometer having at least one grating and a gated intensified charge-coupled device. The apparatus may also include a processor that correlates the wavelength of the light emission caused by the formation of the plasma with an identity of an element that corresponds to the wavelength. Furthermore, the apparatus can also include an aerosol generator for forming an aerosol beam from bulk materials. A method for detecting elements in an aerosol is also disclosed.

  2. Apparatus for rapid measurement of aerosol bulk chemical composition

    DOE Patents [OSTI]

    Lee, Yin-Nan E.; Weber, Rodney J.; Orsini, Douglas

    2006-04-18

    An apparatus for continuous on-line measurement of chemical composition of aerosol particles with a fast time resolution is provided. The apparatus includes an enhanced particle size magnifier for producing activated aerosol particles and an enhanced collection device which collects the activated aerosol particles into a liquid stream for quantitative analysis by analytical means. Methods for on-line measurement of chemical composition of aerosol particles are also provided, the method including exposing aerosol carrying sample air to hot saturated steam thereby forming activated aerosol particles; collecting the activated aerosol particles by a collection device for delivery as a jet stream onto an impaction surface; and flushing off the activated aerosol particles from the impaction surface into a liquid stream for delivery of the collected liquid stream to an analytical instrument for quantitative measurement.

  3. Apparatus for rapid measurement of aerosol bulk chemical composition

    DOE Patents [OSTI]

    Lee, Yin-Nan E.; Weber, Rodney J.

    2003-01-01

    An apparatus and method for continuous on-line measurement of chemical composition of aerosol particles with a fast time resolution are provided. The apparatus includes a modified particle size magnifier for producing activated aerosol particles and a collection device which collects the activated aerosol particles into a liquid stream for quantitative analysis by analytical methods. The method provided for on-line measurement of chemical composition of aerosol particles includes exposing aerosol carrying sample air to hot saturated steam thereby forming activated aerosol particles; collecting the activated aerosol particles by a collection device for delivery as a jet stream onto an impaction surface; flushing off the activated aerosol particles from the impaction surface into a liquid stream for delivery of the collected liquid stream to an analytical instrument for quantitative measurement.

  4. Biogenic Aerosols„Effects on Clouds and Climate (BAECC)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Biogenic Aerosols-Effects on Clouds and Climate (BAECC) Final Campaign Summary T Petj ... DOESC-ARM-15-051 Biogenic Aerosols-Effects on Clouds and Climate (BAECC) Final Campaign ...

  5. ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Aerial...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsTwo-Column Aerosol Project (TCAP): Aerial Campaign ARM Data Discovery Browse Data Related Campaigns Two-Column Aerosol Project (TCAP) 2012.07.01, Berg, AMF Comments? We...

  6. ARM - Field Campaign - Two-Column Aerosol Project (TCAP)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Browse Data Related Campaigns Two-Column Aerosol Project (TCAP): Field Evaluation of Real-time Cloud OD Sensor TWST 2013.04.15, Scott, AMF Two-Column Aerosol Project (TCAP): Winter ...

  7. Arctic Black Carbon Loading and Profile Using the Single-Particle Soot

    Office of Scientific and Technical Information (OSTI)

    Photometer (SP2) Field Campaign Report (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Arctic Black Carbon Loading and Profile Using the Single-Particle Soot Photometer (SP2) Field Campaign Report Citation Details In-Document Search Title: Arctic Black Carbon Loading and Profile Using the Single-Particle Soot Photometer (SP2) Field Campaign Report One of the major issues confronting aerosol climate simulations of the Arctic and Antarctic cryospheres is

  8. Parameterizations of Cloud Microphysics and Indirect Aerosol Effects

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Parameterizations of Cloud Microphysics and Indirect Aerosol Effects Citation Details In-Document Search Title: Parameterizations of Cloud Microphysics and Indirect Aerosol Effects 1. OVERVIEW Aerosols and especially their effect on clouds are one of the key components of the climate system and the hydrological cycle [Ramanathan et al., 2001]. Yet, the aerosol effect on clouds remains largely unknown and the processes involved not well understood. A

  9. Potential Aerosol Indirect Effects on Atmospheric Circulation and Radiative

    Office of Scientific and Technical Information (OSTI)

    Forcing through Deep Convection (Journal Article) | SciTech Connect Potential Aerosol Indirect Effects on Atmospheric Circulation and Radiative Forcing through Deep Convection Citation Details In-Document Search Title: Potential Aerosol Indirect Effects on Atmospheric Circulation and Radiative Forcing through Deep Convection Aerosol indirect effects, i.e., the interactions of aerosols with clouds by serving as cloud condensation nuclei (CCN) or ice nuclei (IN), constitute the largest

  10. Direct Aerosol Forcing: Calculation from Observables and Sensitivities to

    Office of Scientific and Technical Information (OSTI)

    Inputs (Journal Article) | SciTech Connect Direct Aerosol Forcing: Calculation from Observables and Sensitivities to Inputs Citation Details In-Document Search Title: Direct Aerosol Forcing: Calculation from Observables and Sensitivities to Inputs Understanding sources of uncertainty in aerosol direct radiative forcing (DRF), the difference in a given radiative flux component with and without aerosol, is essential to quantifying changes in Earth's radiation budget. We examine the uncertainty

  11. Pajarito Aerosol Couplings to Ecosystems (PACE) Field Campaign Report

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Pajarito Aerosol Couplings to Ecosystems (PACE) Field Campaign Report Citation Details In-Document Search Title: Pajarito Aerosol Couplings to Ecosystems (PACE) Field Campaign Report Laboratory (LANL) worked on the Pajarito Aerosol Couplings to Ecosystems (PACE) intensive operational period (IOP). PACE's primary goal was to demonstrate routine Mobile Aerosol Observing System (MAOS) field operations and improve instrumental and operational performance.

  12. Aerosol can puncture device test report

    SciTech Connect (OSTI)

    Leist, K.J.

    1994-10-01

    This test report documents the evaluation of an aerosol can puncture device to replace a system currently identified for use in the WRAP-1 facility. The new system is based upon a commercially available puncture device, as recommended by WHC Fire Protection. With modifications found necessary through the testing program, the Aerosol Can Puncture Device was found able to puncture and drain aerosol cans without incident. Modifications include the addition of a secondary collection bottle and the modification of the can puncture needle. In the course of testing, a variety of absorbents were tested to determine their performance in immobilizing drained fluids. The visibility of the puncture with Non-Destructive Examination techniques were also reviewed.

  13. Aerodynamic Focusing Of High-Density Aerosols

    SciTech Connect (OSTI)

    Ruiz, D. E.; Fisch, Nathaniel

    2014-02-24

    High-density micron-sized particle aerosols might form the basis for a number of applications in which a material target with a particular shape might be quickly ionized to form a cylindrical or sheet shaped plasma. A simple experimental device was built in order to study the properties of high-density aerosol focusing for 1#22; m silica spheres. Preliminary results recover previous findings on aerodynamic focusing at low densities. At higher densities, it is demonstrated that the focusing properties change in a way which is consistent with a density dependent Stokes number.

  14. Apparatus for sampling and characterizing aerosols

    DOE Patents [OSTI]

    Dunn, Patrick F. (Downers Grove, IL); Herceg, Joseph E. (Naperville, IL); Klocksieben, Robert H. (Park Forest, IL)

    1986-01-01

    Apparatus for sampling and characterizing aerosols having a wide particle size range at relatively low velocities may comprise a chamber having an inlet and an outlet, the chamber including: a plurality of vertically stacked, successive particle collection stages; each collection stage includes a separator plate and a channel guide mounted transverse to the separator plate, defining a labyrinthine flow path across the collection stage. An opening in each separator plate provides a path for the aerosols from one collection stage to the next. Mounted within each collection stage are one or more particle collection frames.

  15. Two Hundred Fifty Years of Aerosols and Climate: The End of the Age of Aerosols

    SciTech Connect (OSTI)

    Smith, Steven J.; Bond, Tami C.

    2014-01-20

    Carbonaceous and sulfur aerosols have a substantial global and regional influence on climate in addition to their impact on health and ecosystems. The magnitude of this influence has changed substantially over the past and is expected to continue to change into the future. An integrated picture of the changing climatic influence of black carbon, organic carbon and sulfate over the period 1850 through 2100, focusing on uncertainty, is presented using updated historical inventories and a coordinated set of emission projections. While aerosols have had a substantial impact on climate over the past century, by the end of the 21st century aerosols will likely be only a minor contributor to radiative forcing due to increases in greenhouse gas forcing and a global decrease in pollutant emissions. This outcome is even more certain under a successful implementation of a policy to limit greenhouse gas emissions as low-carbon energy technologies that do not emit appreciable aerosol or SO2 are deployed.

  16. Near real time vapor detection and enhancement using aerosol adsorption

    DOE Patents [OSTI]

    Novick, Vincent J.; Johnson, Stanley A.

    1999-01-01

    A vapor sample detection method where the vapor sample contains vapor and ambient air and surrounding natural background particles. The vapor sample detection method includes the steps of generating a supply of aerosol that have a particular effective median particle size, mixing the aerosol with the vapor sample forming aerosol and adsorbed vapor suspended in an air stream, impacting the suspended aerosol and adsorbed vapor upon a reflecting element, alternatively directing infrared light to the impacted aerosol and adsorbed vapor, detecting and analyzing the alternatively directed infrared light in essentially real time using a spectrometer and a microcomputer and identifying the vapor sample.

  17. Near real time vapor detection and enhancement using aerosol adsorption

    DOE Patents [OSTI]

    Novick, V.J.; Johnson, S.A.

    1999-08-03

    A vapor sample detection method is described where the vapor sample contains vapor and ambient air and surrounding natural background particles. The vapor sample detection method includes the steps of generating a supply of aerosol that have a particular effective median particle size, mixing the aerosol with the vapor sample forming aerosol and adsorbed vapor suspended in an air stream, impacting the suspended aerosol and adsorbed vapor upon a reflecting element, alternatively directing infrared light to the impacted aerosol and adsorbed vapor, detecting and analyzing the alternatively directed infrared light in essentially real time using a spectrometer and a microcomputer and identifying the vapor sample. 13 figs.

  18. Indirect and Semi-Direct Aerosol Campaign: The Impact of Arctic Aerosols on Clouds

    SciTech Connect (OSTI)

    McFarquhar, Greg; Ghan, Steven J.; Verlinde, J.; Korolev, Alexei; Strapp, J. Walter; Schmid, Beat; Tomlinson, Jason M.; Wolde, Mengistu; Brooks, Sarah D.; Cziczo, Daniel J.; Dubey, Manvendra K.; Fan, Jiwen; Flynn, Connor J.; Gultepe, Ismail; Hubbe, John M.; Gilles, Mary K.; Laskin, Alexander; Lawson, Paul; Leaitch, W. R.; Liu, Peter S.; Liu, Xiaohong; Lubin, Dan; Mazzoleni, Claudio; Macdonald, A. M.; Moffet, Ryan C.; Morrison, H.; Ovchinnikov, Mikhail; Shupe, Matthew D.; Turner, David D.; Xie, Shaocheng; Zelenyuk, Alla; Bae, Kenny; Freer, Matthew; Glen, Andrew

    2011-02-01

    A comprehensive dataset of microphysical and radiative properties of aerosols and clouds in the arctic boundary layer in the vicinity of Barrow, Alaska was collected in April 2008 during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) sponsored by the Department of Energy Atmospheric Radiation Measurement (ARM) and Atmospheric Science Programs. The primary aim of ISDAC was to examine indirect effects of aerosols on clouds that contain both liquid and ice water. The experiment utilized the ARM permanent observational facilities at the North Slope of Alaska (NSA) in Barrow. These include a cloud radar, a polarized micropulse lidar, and an atmospheric emitted radiance interferometer as well as instruments specially deployed for ISDAC measuring aerosol, ice fog, precipitation and spectral shortwave radiation. The National Research Council of Canada Convair-580 flew 27 sorties during ISDAC, collecting data using an unprecedented 42 cloud and aerosol instruments for more than 100 hours on 12 different days. Data were obtained above, below and within single-layer stratus on 8 April and 26 April 2008. These data enable a process-oriented understanding of how aerosols affect the microphysical and radiative properties of arctic clouds influenced by different surface conditions. Observations acquired on a heavily polluted day, 19 April 2008, are enhancing this understanding. Data acquired in cirrus on transit flights between Fairbanks and Barrow are improving our understanding of the performance of cloud probes in ice. Ultimately the ISDAC data will be used to improve the representation of cloud and aerosol processes in models covering a variety of spatial and temporal scales, and to determine the extent to which long-term surface-based measurements can provide retrievals of aerosols, clouds, precipitation and radiative heating in the Arctic.

  19. Climate implications of carbonaceous aerosols: An aerosol microphysical study using the GISS/MATRIX climate model

    SciTech Connect (OSTI)

    Bauer, Susanne E.; Menon, Surabi; Koch, Dorothy; Bond, Tami; Tsigaridis, Kostas

    2010-04-09

    Recently, attention has been drawn towards black carbon aerosols as a likely short-term climate warming mitigation candidate. However the global and regional impacts of the direct, cloud-indirect and semi-direct forcing effects are highly uncertain, due to the complex nature of aerosol evolution and its climate interactions. Black carbon is directly released as particle into the atmosphere, but then interacts with other gases and particles through condensation and coagulation processes leading to further aerosol growth, aging and internal mixing. A detailed aerosol microphysical scheme, MATRIX, embedded within the global GISS modelE includes the above processes that determine the lifecycle and climate impact of aerosols. This study presents a quantitative assessment of the impact of microphysical processes involving black carbon, such as emission size distributions and optical properties on aerosol cloud activation and radiative forcing. Our best estimate for net direct and indirect aerosol radiative forcing change is -0.56 W/m{sup 2} between 1750 and 2000. However, the direct and indirect aerosol effects are very sensitive to the black and organic carbon size distribution and consequential mixing state. The net radiative forcing change can vary between -0.32 to -0.75 W/m{sup 2} depending on these carbonaceous particle properties. Assuming that sulfates, nitrates and secondary organics form a coating shell around a black carbon core, rather than forming a uniformly mixed particles, changes the overall net radiative forcing from a negative to a positive number. Black carbon mitigation scenarios showed generally a benefit when mainly black carbon sources such as diesel emissions are reduced, reducing organic and black carbon sources such as bio-fuels, does not lead to reduced warming.

  20. Raman Lidar Measurements of Aerosols and Water Vapor During the May 2003 Aerosol IOP

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Raman Lidar Measurements of Aerosols and Water Vapor During the May 2003 Aerosol IOP R. A. Ferrare National Aeronautics and Space Administration Langley Research Center Hampton, Virginia D. D. Turner Pacific Northwest National Laboratory Richland, Washington M. Clayton Science Applications International Corporation National Aeronautics and Space Administration Langley Research Center Hampton, Virginia B. S. Schmid and J. Redemann BAER/NASA Ames Research Institute Moffett Field, California D.

  1. Radiological/biological/aerosol removal system

    DOE Patents [OSTI]

    Haslam, Jeffery J

    2015-03-17

    An air filter replacement system for existing buildings, vehicles, arenas, and other enclosed airspaces includes a replacement air filter for replacing a standard air filter. The replacement air filter has dimensions and air flow specifications that allow it to replace the standard air filter. The replacement air filter includes a filter material that removes radiological or biological or aerosol particles.

  2. Automated retrieval of cloud and aerosol properties from the ARM Raman lidar, part 1: feature detection

    SciTech Connect (OSTI)

    Thorsen, Tyler J.; Fu, Qiang; Newsom, Rob K.; Turner, David D.; Comstock, Jennifer M.

    2015-11-01

    A Feature detection and EXtinction retrieval (FEX) algorithm for the Atmospheric Radiation Measurement (ARM) program’s Raman lidar (RL) has been developed. Presented here is part 1 of the FEX algorithm: the detection of features including both clouds and aerosols. The approach of FEX is to use multiple quantities— scattering ratios derived using elastic and nitro-gen channel signals from two fields of view, the scattering ratio derived using only the elastic channel, and the total volume depolarization ratio— to identify features using range-dependent detection thresholds. FEX is designed to be context-sensitive with thresholds determined for each profile by calculating the expected clear-sky signal and noise. The use of multiple quantities pro-vides complementary depictions of cloud and aerosol locations and allows for consistency checks to improve the accuracy of the feature mask. The depolarization ratio is shown to be particularly effective at detecting optically-thin features containing non-spherical particles such as cirrus clouds. Improve-ments over the existing ARM RL cloud mask are shown. The performance of FEX is validated against a collocated micropulse lidar and observations from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite over the ARM Darwin, Australia site. While we focus on a specific lidar system, the FEX framework presented here is suitable for other Raman or high spectral resolution lidars.

  3. Single point aerosol sampling: Evaluation of mixing and probe performance in a nuclear stack

    SciTech Connect (OSTI)

    Rodgers, J.C.; Fairchild, C.I.; Wood, G.O.; Ortiz, C.A.; Muyshondt, A.; McFarland, A.R. |

    1994-12-31

    Alternative Reference Methodologies (ARMS) have been developed for sampling of radionuclide; from stacks and ducts that differ from the methods required by the US EPA. The EPA methods are prescriptive in selection of sampling locations and in design of sampling probes whereas the alternative methods are performance driven. Tests were conducted in a stack at Los Alamos National Laboratory to demonstrate the efficacy of the ARMS. Coefficients of variation of the velocity tracer gas, and aerosol particle profiles were determined at three sampling locations. Results showed numerical criteria placed upon the coefficients of variation by the ARMs were met at sampling stations located 9 and 14 stack diameters from flow entrance, but not at a location that is 1.5 diameters downstream from the inlet. Experiments were conducted to characterize the transmission of 10 {mu}m aerodynamic equivalent diameter liquid aerosol particles through three types of sampling probes. The transmission ratio (ratio of aerosol concentration at the probe exit plane to the concentration in the free stream) was 107% for a 113 L/min (4-cfm) an isokinetic shrouded probe, but only 20% for an isokinetic probe that follows the EPA requirements. A specially designed isokinetic probe showed a transmission ratio of 63%. The shrouded probe performance would conform to the ARM criteria; however, the isokinetic probes would not.

  4. Aerosol Retrievals from ARM SGP MFRSR Data

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Alexandrov, Mikhail

    2008-01-15

    The Multi-Filter Rotating Shadowband Radiometer (MFRSR) makes precise simultaneous measurements of the solar direct normal and diffuse horizontal irradiances at six wavelengths (nominally 415, 500, 615, 673, 870, and 940 nm) at short intervals (20 sec for ARM instruments) throughout the day. Time series of spectral optical depth are derived from these measurements. Besides water vapor at 940 nm, the other gaseous absorbers within the MFRSR channels are NO2 (at 415, 500, and 615 nm) and ozone (at 500, 615, and 670 nm). Aerosols and Rayleigh scattering contribute atmospheric extinction in all MFRSR channels. Our recently updated MFRSR data analysis algorithm allows us to partition the spectral aerosol optical depth into fine and coarse modes and to retrieve the fine mode effective radius. In this approach we rely on climatological amounts of NO2 from SCIAMACHY satellite retrievals and use daily ozone columns from TOMS.

  5. Stackable differential mobility analyzer for aerosol measurement

    DOE Patents [OSTI]

    Cheng, Meng-Dawn; Chen, Da-Ren

    2007-05-08

    A multi-stage differential mobility analyzer (MDMA) for aerosol measurements includes a first electrode or grid including at least one inlet or injection slit for receiving an aerosol including charged particles for analysis. A second electrode or grid is spaced apart from the first electrode. The second electrode has at least one sampling outlet disposed at a plurality different distances along its length. A volume between the first and the second electrode or grid between the inlet or injection slit and a distal one of the plurality of sampling outlets forms a classifying region, the first and second electrodes for charging to suitable potentials to create an electric field within the classifying region. At least one inlet or injection slit in the second electrode receives a sheath gas flow into an upstream end of the classifying region, wherein each sampling outlet functions as an independent DMA stage and classifies different size ranges of charged particles based on electric mobility simultaneously.

  6. Climate Engineering with Stratospheric Aerosols and Associated Engineering Parameters

    SciTech Connect (OSTI)

    Kravitz, Benjamin S.

    2013-02-12

    Climate engineering with stratospheric aerosols, an idea inspired by large volcaniceruptions, could cool the Earth’s surface and thus alleviate some of the predicted dangerous impacts of anthropogenic climate change. However, the effectiveness of climate engineering to achieve a particular climate goal, and any associated side effects, depend on certain aerosol parameters and how the aerosols are deployed in the stratosphere. Through the examples of sulfate and black carbon aerosols, this paper examines "engineering" parameters-aerosol composition, aerosol size, and spatial and temporal variations in deployment-for stratospheric climate engineering. The effects of climate engineering are sensitive to these parameters, suggesting that a particle could be found ordesigned to achieve specific desired climate outcomes. This prospect opens the possibility for discussion of societal goals for climate engineering.

  7. Total aerosol effect: forcing or radiative flux perturbation?

    SciTech Connect (OSTI)

    Lohmann, Ulrike; Storelvmo, Trude; Jones, Andy; Rotstayn, Leon; Menon, Surabi; Quaas, Johannes; Ekman, Annica; Koch, Dorothy; Ruedy, Reto

    2009-09-25

    Uncertainties in aerosol forcings, especially those associated with clouds, contribute to a large extent to uncertainties in the total anthropogenic forcing. The interaction of aerosols with clouds and radiation introduces feedbacks which can affect the rate of rain formation. Traditionally these feedbacks were not included in estimates of total aerosol forcing. Here we argue that they should be included because these feedbacks act quickly compared with the time scale of global warming. We show that for different forcing agents (aerosols and greenhouse gases) the radiative forcings as traditionally defined agree rather well with estimates from a method, here referred to as radiative flux perturbations (RFP), that takes these fast feedbacks and interactions into account. Thus we propose replacing the direct and indirect aerosol forcing in the IPCC forcing chart with RFP estimates. This implies that it is better to evaluate the total anthropogenic aerosol effect as a whole.

  8. Indirect and Semi-Direct Aerosol Campaign

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Campaign (ISDAC) The Influence of Arctic Aerosol on Clouds PIs: Steve Ghan, Greg McFarquhar, Hans Verlinde ARM AVP: Beat Schmid, Greg McFarquhar, John Hubbe, Debbie Ronfeld In situ measurements: Sarah Brooks, Don Collins, Dan Cziczo, Manvendra Dubey, Greg Kok, Alexei Korolev, Alex Laskin, Paul Lawson, Peter Liu, Claudio Mazzoleni, Ann-Marie McDonald, Greg McFarquhar, Walter Strapp, Alla Zelenyuk Retrievals: Connor Flynn, Dan Lubin, Mengistu Wolde, David Mitchell, Matthew Shupe, David Turner

  9. Importance of Iron Mineralogy to Aerosol Solubility: Potential Effects of

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Source on Ocean Photosynthesis Importance of Iron Mineralogy to Aerosol Solubility: Potential Effects of Aerosol Source on Ocean Photosynthesis figure 1 Figure 1. Dust storm blowing glacial dusts from the Copper River Basin of southeast Alaska into the North Pacific Ocean, which depends on this and other external iron sources to support its biological communities. (Image: NASA MODIS satellite image, Nov. 1, 2006. http://earthobservatory.nasa.gov/IOTD/view.php?id=7094) Iron is one of

  10. Microphysical Effects Determine Macrophysical Response for Aerosol Impacts

    Office of Scientific and Technical Information (OSTI)

    on Deep Convective Clouds (Journal Article) | SciTech Connect Microphysical Effects Determine Macrophysical Response for Aerosol Impacts on Deep Convective Clouds Citation Details In-Document Search Title: Microphysical Effects Determine Macrophysical Response for Aerosol Impacts on Deep Convective Clouds Deep convective clouds (DCCs) play a crucial role in the general circulation and energy and hydrological cycle of our climate system. Anthropogenic and natural aerosol particles can

  11. Natural Aerosols Explain Seasonal and Spatial Patterns of Southern Ocean

    Office of Scientific and Technical Information (OSTI)

    Cloud Albedo (Journal Article) | SciTech Connect Natural Aerosols Explain Seasonal and Spatial Patterns of Southern Ocean Cloud Albedo Citation Details In-Document Search Title: Natural Aerosols Explain Seasonal and Spatial Patterns of Southern Ocean Cloud Albedo Small particles called aerosols act as nucleation sites for cloud drop formation, affecting clouds and cloud properties - ultimately influencing the cloud dynamics, lifetime, water path and areal extent that determine the

  12. ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) Field Campaign Report

    Office of Scientific and Technical Information (OSTI)

    (Program Document) | SciTech Connect SciTech Connect Search Results Program Document: ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) Field Campaign Report Citation Details In-Document Search Title: ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) Field Campaign Report The U.S. Department of Energy (DOE)'s Atmospheric Radiation Measurement (ARM) Climate Research Facility's ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) field campaign contributes to CalWater 2015, a multi-agency

  13. Aerosol Properties Downwind of Biomass Burns Field Campaign Report (Program

    Office of Scientific and Technical Information (OSTI)

    Document) | SciTech Connect SciTech Connect Search Results Program Document: Aerosol Properties Downwind of Biomass Burns Field Campaign Report Citation Details In-Document Search Title: Aerosol Properties Downwind of Biomass Burns Field Campaign Report We determined the morphological, chemical, and thermal properties of aerosol particles generated by biomass burning during the Biomass Burning Observation Project (BBOP) campaign during the wildland fire season in the Pacific Northwest from

  14. ARM - Publications: Science Team Meeting Documents: The SGP Aerosol

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Best-Estimate Value-Added Procedure and Its Impact on the BBHRP Project The SGP Aerosol Best-Estimate Value-Added Procedure and Its Impact on the BBHRP Project Turner, David Pacific Northwest National Laboratory Sivaraman, Chitra Pacific Northwest National Laboratory Flynn, Connor Pacific Northwest National Laboratory Mlawer, Eli Atmospheric & Environmental Research, Inc. The objective of the Aerosol Best-Estimate (ABE) Value-Added Procedure (VAP) is to provide estimates of aerosol

  15. Toward a Minimal Representation of Aerosols in Climate Models: Description

    Office of Scientific and Technical Information (OSTI)

    and Evaluation in the Community Atmosphere Model CAM5 (Journal Article) | SciTech Connect Toward a Minimal Representation of Aerosols in Climate Models: Description and Evaluation in the Community Atmosphere Model CAM5 Citation Details In-Document Search Title: Toward a Minimal Representation of Aerosols in Climate Models: Description and Evaluation in the Community Atmosphere Model CAM5 A modal aerosol module (MAM) has been developed for the Community Atmosphere Model version 5 (CAM5), the

  16. Automated Sealing of Home Enclosures with Aerosol Particles | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Sealing of Home Enclosures with Aerosol Particles Automated Sealing of Home Enclosures with Aerosol Particles This presentation was delivered during a Building America webinar on October 14, 2011, by the Building Industry Research Alliance team member Mark Modera. PDF icon bira_webinar_10_14_11.pdf More Documents & Publications Building America Technology Solutions for New and Existing Homes: Apartment Compartmentalization with an Aerosol-Based Sealing Process Building America

  17. Quantifying Aerosol Direct Effects from Broadband Irradiance and Spectral Aerosol Optical Depth Observations

    SciTech Connect (OSTI)

    Creekmore, Torreon N.; Joseph, Everette; Long, Charles N.; Li, Siwei

    2014-05-16

    We outline a methodology using broadband and spectral irradiances to quantify aerosol direct effects on the surface diffuse shortwave (SW) irradiance. Best Estimate Flux data span a 13 year timeframe at the Department of Energy Atmospheric Radiation Measurement Program’s Southern Great Plains (SGP) site. Screened clear-sky irradiances and aerosol optical depth (AOD), for solar zenith angles ≤ 65°, are used to estimate clear-sky diffuse irradiances. We validate against detected clear-sky observations from SGP’s Basic Radiation System (BRS). BRS diffuse irradiances were in accordance with estimates, producing a root-mean-square error and mean bias errors of 4.0 W/m2 and -1.4 W/m2, respectively. Absolute differences show 99% of estimates within ±10 W/m2 (10%) of the mean BRS observations. Clear-sky diffuse estimates are used to derive quantitative estimates of aerosol radiative effects, represented as the aerosol diffuse irradiance (ADI). ADI is the contribution of diffuse SW to global SW, attributable to scattering of atmospheric transmission by natural plus anthropogenic aerosols. Estimated slope for the ADI as a function of AOD indicates an increase of ~22 W/m2 in diffuse SW for every 0.1 increase in AOD. Such significant increases in the diffuse fraction could possibly increase photosynthesis. Annual mean ADI is 28.2 W/m2, and heavy aerosol loading at SGP provides up to a maximum increase of 120 W/m2 in diffuse SW over background conditions. With regard to seasonal variation, the mean diffuse forcings are 17.2, 33.3, 39.0, and 23.6 W/m2 for winter, spring, summer, and fall, respectively.

  18. Study of in-duct spray drying using condensation aerosol

    SciTech Connect (OSTI)

    Chen, W.J.R.; Chang, S.M.; Adikesavalu, R. )

    1992-06-01

    Sulfur removal efficiency of in-duct spray drying is limited by sorbent content and surface properties of the sorbent-water aerosol. It was the purpose of this study to improve the sulfur removal efficiency for in-duct spray drying by injecting condensation aerosol instead of conventional dispersion aerosol. The program was composed of three phases. In Phase I, a novel pulsed fluid bed feeder was developed and was used to feed hydrated lime for subsequent experiments. A small condensation aerosol generator was then built, which produces a lime-water condensation aerosol by condensing steam on lime particles. The results show that novel lime-water aerosols less than 10 microns were generated. The central task in Phase II was to simulate experimentally in-duct spray drying using condensation aerosols and compare the results with those using dispersion aerosols reported in the literature. A small entrained-flow reactor was constructed to simulate an in-duct spray dryer. The condensation aerosol was then introduced to the reactor at various approach to saturation temperature, calcium/sulfur stoichiometry and sulfur dioxide concentration for desulfurization study. The results show that we have improved the sulfur removal efficiency for in-duct spray drying to 90 percent or above. Thus we have met and exceeded the stated project goal of 70 percent sulfur removal. A comprehensive computer code was employed to calculate sulfur removal efficiency in Phase III.

  19. ARM - Field Campaign - Aerosol Life Cycle IOP at BNL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Images Wiki 2011 ASR STM Presentation: Sedlacek 2011 ASR STM Presentation: Springston 2010 ASR Fall Meeting: Sedlacek News, June 14, 2011: Next-generation Aerosol-sampling Stations ...

  20. Overview of the COPS Aerosol and Cloud Microphysics (ACM) Subgroup...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    COPS Aerosol and Cloud Microphysics (ACM) Subgroup Activities Dave Turner Space Science ... (ACM) - Chairs: Susanne Crewell, Dave Turner, Stephen Mobbs ACM Scientific Questions * ...

  1. Preliminary Results of in-situ Measurements of Aerosol Optical...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of Aerosol Optical and Water Uptake Properties from the ARM Mobile Facility in Niger Jefferson, Anne NOAA CMDL Ogren, John NOAACMDL Category: Field Campaigns The second...

  2. ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Winter...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    on atmospheric particulate matter. The effect of aerosol properties such as size, morphology and composition on cloud droplet formation has been studied theoretically as well as...

  3. Clouds, Aerosol, and Precipitation in the Marine Boundary Layer...

    Office of Scientific and Technical Information (OSTI)

    In addition, the response of low clouds to changes in atmospheric greenhouse gases and aerosols is a major source of uncertainty, which thwarts accurate prediction of future ...

  4. ARM - Field Campaign - Azores: Clouds, Aerosol and Precipitation...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Campaigns Azores: Above-Cloud Radiation Budget near Graciosa Island 2010.04.15, Miller, AMF Azores: Extension to Clouds, Aerosol and Precipitation in the Marine Boundary...

  5. Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems...

    Office of Scientific and Technical Information (OSTI)

    Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) Science ... Current convective cloud parameterizations contain uncertainties resulting in part from ...

  6. Building America Webinar: Sealing of Home Enclosures with Aerosol...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    about a project that uses existing aerosol duct sealing technology to seal the entire building enclosure in order to achieve greater airtightness and energy and cost savings. ...

  7. Study of Mechanisms of Aerosol Indirect Effects on Glaciated...

    Office of Scientific and Technical Information (OSTI)

    ... clouds, was seen to be of higher importance in regulating aerosol indirect effects ... DOE Contract Number: SC0007396 Resource Type: Technical Report Research Org: Leeds ...

  8. ARM - Field Campaign - Biogenic Aerosols - Effects on Clouds...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    relevant to DOE's goals in understanding the impact of clouds and aerosols on climate change. TWST contributes significantly to the body of data used for extracting cloud...

  9. ARM - Field Campaign - 2004 NEAX (Northeast Aerosol Experiment...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Description Final Data Hubbe Passive Cavity Aerosol Spectrometer Probe Order Data Kleinman Gas Chromatography Mass Spectrometry Order Data Wang Differential Mobility Analyzer...

  10. Method of Preparing Super-Concentrated Jets From Dense Aerosol...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Method of Preparing Super-Concentrated Jets From Dense Aerosol Suspensions ----- Inventor(s): Michael J. Hay, Ernest J. Valeo, and Nathaniel J. Fisch This is improvement in...

  11. ARM - Field Campaign - Carbonaceous Aerosol and Radiation Effects...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    - Surface Meteorological Sounding Campaign Links ARM Data Discovery Browse Data Related Campaigns Carbonaceous Aerosol and Radiative Effects Study (CARES) 2010.06.02, Zaveri, AAF...

  12. Light Absorption of Primary Organic Aerosol Paper Named ACS Editors...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Absorption of Primary Organic Aerosol Paper Named ACS Editors' Choice For original submission and image(s), see ARM Research Highlights http:www.arm.govsciencehighlights...

  13. Ganges Valley Aerosol Experiment (GVAX) Final Campaign Report...

    Office of Scientific and Technical Information (OSTI)

    ISM. However, increasing aerosol concentration, air pollution, and deforestation result in changes to surface albedo and insolation, potentially leading to low monsoon rainfall. ...

  14. BAECC Biogenic Aerosols - Effects on Clouds and Climate (Technical...

    Office of Scientific and Technical Information (OSTI)

    The main research goal was to understand the role of biogenic aerosols in cloud formation. ... Country of Publication: United States Language: English Subject: 54 ENVIRONMENTAL SCIENCES ...

  15. ARM - Field Campaign - Cirrus Clouds and Aerosol Properties Campaign

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lead Scientist : Shadrian Strong For data sets, see below. Abstract Through the National Geospatial-Intelligence Agency Characterization of Cirrus and Aerosol Properties (CCAP) ...

  16. Parameterizing the Mixing State of Complex Submicron Aerosols...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    DA Knopf, MK Gilles, and RC Moffet. 2015. "Chemical imaging of ambient aerosol particles: Observational constraints on mixing state parameterization." Journal of Geophysical...

  17. ARM - Field Campaign - Carbonaceous Aerosol and Radiative Effects...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of representative organic aerosols within the boundary layer. By combining a SMPS and a dual column CCN counter, the size-resolved CCN concentrations were measured. This allowed...

  18. Airborne aerosol in situ measurements during TCAP: A closure...

    Office of Scientific and Technical Information (OSTI)

    of both non-absorbing and absorbing aerosol at ambient conditions from aircraft data. ... particles, and thus obtaining improved ambient size spectra derived from Optical ...

  19. Clouds, Aerosols and Precipitation in the Marine Boundary Layer...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Framework, extend to investigation of aerosol-cloud interactions in models - Ensemble Kalman Filter (DART) Satellite activities with CAP-MBL Minnis: CAP-MBL subset MBL depth,...

  20. Fermilab Today | University Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    University Profiles Archive Subscribe | Contact Fermilab Today | Archive | Classifieds Search GO More than 2,000 scientists worldwide work with Fermilab. In the United States, about 1,300 scientists from institutions in 36 states rely on Fermilab for their research, with support from the U.S. Department of Energy and the National Science Foundation. These profiles, published in Fermilab Today, spotlight the critical role of universities in particle physics research. We'd love to profile your

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oregon Electricity Profile 2013 Table 1. 2013 Summary statistics (Oregon) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 15,662 27 Electric ...

  2. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (Virginia) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 26,292 16 Electric ...

  3. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    United States Electricity Profile 2014 Table 1. 2014 Summary statistics (United States) Item Value Primary energy source Coal Net summer capacity (megawatts) 1,068,422 Electric ...

  4. LANSCE | News & Media | Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Users User Office User Program LANSCE User Group Rosen Scholar Rosen Prize News & Multimedia News Multimedia Events Profiles Highlights Seminars Activity Reports The Pulse User ...

  5. Profiling Your Application

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    sure to focus on only the main computation of your application (omitting initialization steps which may otherwise clutter the profiling results). Further, it may be valuable at...

  6. Method of dispersing particulate aerosol tracer

    DOE Patents [OSTI]

    O'Holleran, Thomas P.

    1988-01-01

    A particulate aerosol tracer which comprises a particulate carrier of sheet silicate composition having a particle size up to one micron, and a cationic dopant chemically absorbed in solid solution in the carrier. The carrier is preferably selected from the group consisting of natural mineral clays such as bentonite, and the dopant is selected from the group consisting of rare earth elements and transition elements. The tracers are dispersed by forming an aqueous salt solution with the dopant present as cations, dispersing the carriers in the solution, and then atomizing the solution under heat sufficient to superheat the solution droplets at a level sufficient to prevent reagglomeration of the carrier particles.

  7. Chemical distribution in high-solids paint overspray aerosols

    SciTech Connect (OSTI)

    D'Arcy, J.B.; Chan, T.L. )

    1990-03-01

    The chemical composition of high-solids basecoat paint overspray aerosols was determined as a function of particle size. Detailed information on the chemical composition of the overspray aerosols is important in health hazard evaluation since the composition and distribution within the airborne particles may differ significantly from the bulk paint material. This study was conducted in a typical down-draft paint booth equipped with air-atomized spray painting equipment. A fixed paint target was used to simulate typical overspray generation conditions and the aerosols were collected isokinetically with a seven-stage cascade impactor for size-fractionated analysis. The overspray aerosol from six paints consisted of organic paint binders with varying amounts of inorganic species as pigments or luster enhancers. These overspray aerosols had mass median aerodynamic diameters (MMAD) ranging from 2.9 to 9.7 microns. The size-fractionated paint samples collected on the impaction stages were analyzed by energy dispersive X-ray spectrometry on a scanning electron microscope (SEM-EDXRS) to identify the metallic elements. Atomic absorption spectrometry was used to determine the mass distribution of aluminum and iron as indicators of nonuniform distribution. Three of the aerosols containing aluminum were found to have bimodal distributions with most aluminum distributions having cumulative MMADs larger than the total aerosol. Iron in the aerosols was bimodal for three of the paints with all samples having an overall iron MMAD less than or equal to the overspray aerosol MMAD. Analysis using ultraviolet spectrometry revealed that the organic compounds present in the size-fractionated particulate samples consisted of a single, polydispersed mode with an MMAD similar to that of the total overspray aerosol.

  8. CARES Helps Explain Secondary Organic Aerosols

    ScienceCinema (OSTI)

    Zaveri, Rahul

    2014-06-02

    What happens when urban man-made pollution mixes with what we think of as pristine forest air? To know more about what this interaction means for the climate, the Carbonaceous Aerosol and Radiative Effects Study, or CARES, field campaign was designed in 2010. The sampling strategy during CARES was coordinated with CalNex 2010, another major field campaign that was planned in California in 2010 by the California Air Resources Board (CARB), the National Oceanic and Atmospheric Administration (NOAA), and the California Energy Commission (CEC). "We found two things. When urban pollution mixes with forest pollutions we get more secondary organic aerosols," said Rahul Zaveri, FCSD scientist and project lead on CARES. "SOAs are thought to be formed primarily from forest emissions but only when they interact with urban emissions. The data is saying that there will be climate cooling over the central California valley because of these interactions." Knowledge gained from detailed analyses of data gathered during the CARES campaign, together with laboratory experiments, is being used to improve existing climate models.

  9. CARES Helps Explain Secondary Organic Aerosols

    SciTech Connect (OSTI)

    Zaveri, Rahul

    2014-03-28

    What happens when urban man-made pollution mixes with what we think of as pristine forest air? To know more about what this interaction means for the climate, the Carbonaceous Aerosol and Radiative Effects Study, or CARES, field campaign was designed in 2010. The sampling strategy during CARES was coordinated with CalNex 2010, another major field campaign that was planned in California in 2010 by the California Air Resources Board (CARB), the National Oceanic and Atmospheric Administration (NOAA), and the California Energy Commission (CEC). "We found two things. When urban pollution mixes with forest pollutions we get more secondary organic aerosols," said Rahul Zaveri, FCSD scientist and project lead on CARES. "SOAs are thought to be formed primarily from forest emissions but only when they interact with urban emissions. The data is saying that there will be climate cooling over the central California valley because of these interactions." Knowledge gained from detailed analyses of data gathered during the CARES campaign, together with laboratory experiments, is being used to improve existing climate models.

  10. Asthmatic responses to airborne acid aerosols

    SciTech Connect (OSTI)

    Ostro, B.D.; Lipsett, M.J.; Wiener, M.B.; Selner, J.C. )

    1991-06-01

    Controlled exposure studies suggest that asthmatics may be more sensitive to the respiratory effects of acidic aerosols than individuals without asthma. This study investigates whether acidic aerosols and other air pollutants are associated with respiratory symptoms in free-living asthmatics. Daily concentrations of hydrogen ion (H+), nitric acid, fine particulates, sulfates and nitrates were obtained during an intensive air monitoring effort in Denver, Colorado, in the winter of 1987-88. A panel of 207 asthmatics recorded respiratory symptoms, frequency of medication use, and related information in daily diaries. We used a multiple regression time-series model to analyze which air pollutants, if any, were associated with health outcomes reported by study participants. Airborne H+ was found to be significantly associated with several indicators of asthma status, including moderate or severe cough and shortness of breath. Cough was also associated with fine particulates, and shortness of breath with sulfates. Incorporating the participants' time spent outside and exercise intensity into the daily measure of exposure strengthened the association between these pollutants and asthmatic symptoms. Nitric acid and nitrates were not significantly associated with any respiratory symptom analyzed. In this population of asthmatics, several outdoor air pollutants, particularly airborne acidity, were associated with daily respiratory symptoms.

  11. Regional Climate Effects of Aerosols Over China: Modeling and Observation

    SciTech Connect (OSTI)

    Qian, Yun; Leung, Lai R.; Ghan, Steven J.; Giorgi, Filippo

    2003-09-01

    We present regional simulations of aerosol properties, direct radiative forcing and aerosol climatic effects over China, and compare the simulations with observed aerosol characteristics and climatic data over the region. The climate simulations are performed with a regional climate model, which is shown to capture the spatial distribution and seasonal pattern of temperature and precipitation. Aerosol concentrations are obtained from a global tracer-transport model and are provided to the regional model for the calculation of radiative forcing. Different aerosols are included: sulfate, organic carbon, black carbon, mineral dust, and sea salt and MSA particles. Generally, the aerosol optical depth is well simulated in both magnitude and spatial distribution. The direct radiative forcing of the aerosol is in the range of –1 to –14 W m-2 in autumn and summer and -1 to –9 W m-2 in spring and winter, with substantial spatial variability at the regional scale. A strong maximum in aerosol optical depth and negative radiative forcing is found over the Sichuan Basin. The negative radiative forcing of aerosol induces a surface cooling in the range of –0.6 to –1.2oC in autumn and winter, –0.3 to –0.6oC in spring and 0.0 to –0.9oC in summer throughout East China. The aerosol-induced cooling is mainly due to a decrease in day-time maximum temperature. The cooling is maximum and is statistically significant over the Sichuan Basin. The effect of aerosol on precipitation is not evident in our simulations. The temporal and spatial patterns of the temperature trends observed in the second half of the twentieth century, including different trends for daily maximum and minimum temperature, are at least qualitatively consistent with the simulated aerosol-induced cooling over the Sichuan Basin and East China. This result supports the hypothesis that the observed temperature trends during the latter decades of the twentieth century, especially the cooling trends over the Sichuan Basin and some parts of East China, are at least partly related to the cooling induced by increasing atmospheric aerosol loadings over the region.

  12. Limited effect of anthropogenic nitrogen oxides on Secondary Organic Aerosol formation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zheng, Y.; Unger, N.; Hodzic, A.; Emmons, L.; Knote, C.; Tilmes, S.; Lamarque, J.-F.; Yu, P.

    2015-08-28

    Globally, secondary organic aerosol (SOA) is mostly formed from emissions of biogenic volatile organic compounds (VOCs) by vegetation, but can be modified by human activities as demonstrated in recent research. Specifically, nitrogen oxides (NOx = NO + NO2) have been shown to play a critical role in the chemical formation of low volatility compounds. We have updated the SOA scheme in the global NCAR Community Atmospheric Model version 4 with chemistry (CAM4-chem) by implementing a 4-product Volatility Basis Set (VBS) scheme, including NOx-dependent SOA yields and aging parameterizations. The predicted organic aerosol amounts capture both the magnitude and distribution ofmore » US surface annual mean measurements from the Interagency Monitoring of Protected Visual Environments (IMPROVE) network by 50 %, and the simulated vertical profiles are within a factor of two compared to Aerosol Mass Spectrometer (AMS) measurements from 13 aircraft-based field campaigns across different region and seasons. We then perform sensitivity experiments to examine how the SOA loading responds to a 50 % reduction in anthropogenic nitric oxide (NO) emissions in different regions. We find limited SOA reductions of 0.9 to 5.6, 6.4 to 12.0 and 0.9 to 2.8 % for global, the southeast US and the Amazon NOx perturbations, respectively. The fact that SOA formation is almost unaffected by changes in NOx can be largely attributed to buffering in chemical pathways (low- and high-NOx pathways, O3 versus NO3-initiated oxidation) and to offsetting tendencies in the biogenic versus anthropogenic SOA responses.« less

  13. Limited effect of anthropogenic nitrogen oxides on secondary organic aerosol formation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zheng, Y.; Unger, N.; Hodzic, A.; Emmons, L.; Knote, C.; Tilmes, S.; Lamarque, J.-F.; Yu, P.

    2015-12-08

    Globally, secondary organic aerosol (SOA) is mostly formed from emissions of biogenic volatile organic compounds (VOCs) by vegetation, but it can be modified by human activities as demonstrated in recent research. Specifically, nitrogen oxides (NOx = NO + NO2) have been shown to play a critical role in the chemical formation of low volatility compounds. We have updated the SOA scheme in the global NCAR (National Center for Atmospheric Research) Community Atmospheric Model version 4 with chemistry (CAM4-chem) by implementing a 4-product volatility basis set (VBS) scheme, including NOx-dependent SOA yields and aging parameterizations. Small differences are found for themore » no-aging VBS and 2-product schemes; large increases in SOA production and the SOA-to-OA ratio are found for the aging scheme. The predicted organic aerosol amounts capture both the magnitude and distribution of US surface annual mean measurements from the Interagency Monitoring of Protected Visual Environments (IMPROVE) network by 50 %, and the simulated vertical profiles are within a factor of 2 compared to aerosol mass spectrometer (AMS) measurements from 13 aircraft-based field campaigns across different regions and seasons. We then perform sensitivity experiments to examine how the SOA loading responds to a 50 % reduction in anthropogenic nitric oxide (NO) emissions in different regions. We find limited SOA reductions of 0.9–5.6, 6.4–12.0 and 0.9–2.8 % for global, southeast US and Amazon NOx perturbations, respectively. The fact that SOA formation is almost unaffected by changes in NOx can be largely attributed to a limited shift in chemical regime, to buffering in chemical pathways (low- and high-NOx pathways, O3 versus NO3-initiated oxidation) and to offsetting tendencies in the biogenic versus anthropogenic SOA responses.« less

  14. Single point aerosol sampling: Evaluation of mixing and probe performance in a nuclear stack

    SciTech Connect (OSTI)

    Rodgers, J.C.; Fairchild, C.I.; Wood, G.O.; Ortiz, C.A.; Muyshondt, A.

    1996-01-01

    Alternative reference methodologies have been developed for sampling of radionuclides from stacks and ducts, which differ from the methods previously required by the United States Environmental Protection Agency. These alternative reference methodologies have recently been approved by the U.S. EPA for use in lieu of the current standard techniques. The standard EPA methods are prescriptive in selection of sampling locations and in design of sampling probes whereas the alternative reference methodologies are performance driven. Tests were conducted in a stack at Los Alamos National Laboratory to demonstrate the efficacy of some aspects of the alternative reference methodologies. Coefficients of variation of velocity, tracer gas, and aerosol particle profiles were determined at three sampling locations. Results showed that numerical criteria placed upon the coefficients of variation by the alternative reference methodologies were met at sampling stations located 9 and 14 stack diameters from the flow entrance, but not at a location that was 1.5 diameters downstream from the inlet. Experiments were conducted to characterize the transmission of 10 {mu}m aerodynamic diameter liquid aerosol particles through three types of sampling probes. The transmission ratio (ratio of aerosol concentration at the probe exit plane to the concentration in the free stream) was 107% for a 113 L min{sup {minus}1} (4-cfm) anistokinetic shrouded probe, but only 20% for an isokinetic probe that follows the existing EPA standard requirements. A specially designed isokinetic probe showed a transmission ratio of 63%. The shrouded probe performance would conform to the alternative reference methodologies criteria; however, the isokinetic probes would not. 13 refs., 9 figs., 1 tab.

  15. Implementing marine organic aerosols into the GEOS-Chem model

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gantt, B.; Johnson, M. S.; Crippa, M.; Prévôt, A. S. H.; Meskhidze, N.

    2014-09-09

    Marine organic aerosols (MOA) have been shown to play an important role in tropospheric chemistry by impacting surface mass, cloud condensation nuclei, and ice nuclei concentrations over remote marine and coastal regions. In this work, an online marine primary organic aerosol emission parameterization, designed to be used for both global and regional models, was implemented into the GEOS-Chem model. The implemented emission scheme improved the large underprediction of organic aerosol concentrations in clean marine regions (normalized mean bias decreases from -79% when using the default settings to -12% when marine organic aerosols are added). Model predictions were also in goodmore » agreement (correlation coefficient of 0.62 and normalized mean bias of -36%) with hourly surface concentrations of MOA observed during the summertime at an inland site near Paris, France. Our study shows that MOA have weaker coastal-to-inland concentration gradients than sea-salt aerosols, leading to several inland European cities having > 10% of their surface submicron organic aerosol mass concentration with a marine source. The addition of MOA tracers to GEOS-Chem enabled us to identify the regions with large contributions of freshly-emitted or aged aerosol having distinct physicochemical properties, potentially indicating optimal locations for future field studies.« less

  16. Implementing marine organic aerosols into the GEOS-Chem model

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gantt, B.; Johnson, M. S.; Crippa, M.; Prévôt, A. S. H.; Meskhidze, N.

    2015-03-17

    Marine-sourced organic aerosols (MOAs) have been shown to play an important role in tropospheric chemistry by impacting surface mass, cloud condensation nuclei, and ice nuclei concentrations over remote marine and coastal regions. In this work, an online marine primary organic aerosol emission parameterization, designed to be used for both global and regional models, was implemented into the GEOS-Chem (Global Earth Observing System Chemistry) model. The implemented emission scheme improved the large underprediction of organic aerosol concentrations in clean marine regions (normalized mean bias decreases from -79% when using the default settings to -12% when marine organic aerosols are added). Modelmore » predictions were also in good agreement (correlation coefficient of 0.62 and normalized mean bias of -36%) with hourly surface concentrations of MOAs observed during the summertime at an inland site near Paris, France. Our study shows that MOAs have weaker coastal-to-inland concentration gradients than sea-salt aerosols, leading to several inland European cities having >10% of their surface submicron organic aerosol mass concentration with a marine source. The addition of MOA tracers to GEOS-Chem enabled us to identify the regions with large contributions of freshly emitted or aged aerosol having distinct physicochemical properties, potentially indicating optimal locations for future field studies.« less

  17. Fire aerosol experiment and comparisons with computer code predictions

    SciTech Connect (OSTI)

    Gregory, W.S.; Nichols, B.D.; White, B.W.; Smith, P.R.; Leslie, I.H.; Corkran, J.R.

    1988-01-01

    Los Alamos National Laboratory, in cooperation with New Mexico State University, has carried on a series of tests to provide experimental data on fire-generated aerosol transport. These data will be used to verify the aerosol transport capabilities of the FIRAC computer code. FIRAC was developed by Los Alamos for the US Nuclear Regulatory Commission. It is intended to be used by safety analysts to evaluate the effects of hypothetical fires on nuclear plants. One of the most significant aspects of this analysis deals with smoke and radioactive material movement throughout the plant. The tests have been carried out using an industrial furnace that can generate gas temperatures to 300/degree/C. To date, we have used quartz aerosol with a median diameter of about 10 ..mu..m as the fire aerosol simulant. We also plan to use fire-generated aerosols of polystyrene and polymethyl methacrylate (PMMA). The test variables include two nominal gas flow rates (150 and 300 ft/sup 3//min) and three nominal gas temperatures (ambient, 150/degree/C, and 300/degree/C). The test results are presented in the form of plots of aerosol deposition vs length of duct. In addition, the mass of aerosol caught in a high-efficiency particulate air (HEPA) filter during the tests is reported. The tests are simulated with the FIRAC code, and the results are compared with the experimental data. 3 refs., 10 figs., 1 tab.

  18. GCM parameterization of radiative forcing by Pinatubo aerosols

    SciTech Connect (OSTI)

    Lacis, A.A.; Mishchenko, M.I.

    1996-12-31

    This paper addresses the question of whether the general circulation model (GCM) parameterization of volcanic aerosol forcing can be adequately described in terms of just two physical aerosol parameters: (1) the aerosol column optical thickness and (2) the effective radius of the aerosol size distribution. Data recorded from the eruption of Mt. Pinatubo in the Philippines in June 1991 was analyzed to attempt to answer this question. The spatial distribution of the particle size showed considerable variability and was found to increase steadily following the eruption. The time evolution of the Pinatubo aerosol particle size distribution as derived from satellite data differed significantly, particularly in the early phases of the eruption, from that assumed in the initial GCM simulation of the Pinatubo eruption. A bimodal distribution was used to examine the possibility that the actual size distribution of the volcanic aerosol was multimodal. However, results suggested that in most cases the aerosol size distribution was essentially monomodal in nature. Results from the radiative model used in the calculations are also presented. 11 refs., 6 figs.

  19. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Virginia Renewable Electricity Profile 2010 Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro ...

  20. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Renewable Electricity Profile 2010 North Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind ...

  1. Long-term measurements of submicrometer aerosol chemistry at the Southern

    Office of Scientific and Technical Information (OSTI)

    Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM) (Journal Article) | SciTech Connect Long-term measurements of submicrometer aerosol chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM) Citation Details In-Document Search Title: Long-term measurements of submicrometer aerosol chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM) In this study the long-term trends of non-refractory

  2. Method of Producing Ultra-heavy Homogeneous Aerosol of Sub-micron Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ernest J. Valeo and Nathaniel J. Fisch | Princeton Plasma Physics Lab Method of Producing Ultra-heavy Homogeneous Aerosol of Sub-micron Particles Ernest J. Valeo and Nathaniel J. Fisch This invention forms a heavy homogeneous aerosol by agitating sub-micron particles throughacoustic forces and then releasing the aerosol into a low-pressure reservoir. Through this method, the aerosol particulates comprise the dominant mass of the aerosol to produce plasma of the requisite homogeneity,

  3. Laboratory Experiments and Instrument Intercomparison Studies of Carbonaceous Aerosol Particles

    SciTech Connect (OSTI)

    Davidovits, Paul

    2015-10-20

    Aerosols containing black carbon (and some specific types of organic particulate matter) directly absorb incoming light, heating the atmosphere. In addition, all aerosol particles backscatter solar light, leading to a net-cooling effect. Indirect effects involve hydrophilic aerosols, which serve as cloud condensation nuclei (CCN) that affect cloud cover and cloud stability, impacting both atmospheric radiation balance and precipitation patterns. At night, all clouds produce local warming, but overall clouds exert a net-cooling effect on the Earth. The effect of aerosol radiative forcing on climate may be as large as that of the greenhouse gases, but predominantly opposite in sign and much more uncertain. The uncertainties in the representation of aerosol interactions in climate models makes it problematic to use model projections to guide energy policy. The objective of our program is to reduce the uncertainties in the aerosol radiative forcing in the two areas highlighted in the ASR Science and Program Plan. That is, (1) addressing the direct effect by correlating particle chemistry and morphology with particle optical properties (i.e. absorption, scattering, extinction), and (2) addressing the indirect effect by correlating particle hygroscopicity and CCN activity with particle size, chemistry, and morphology. In this connection we are systematically studying particle formation, oxidation, and the effects of particle coating. The work is specifically focused on carbonaceous particles where the uncertainties in the climate relevant properties are the highest. The ongoing work consists of laboratory experiments and related instrument inter-comparison studies both coordinated with field and modeling studies, with the aim of providing reliable data to represent aerosol processes in climate models. The work is performed in the aerosol laboratory at Boston College. At the center of our laboratory setup are two main sources for the production of aerosol particles: (a) two well-characterized source of soot particles and (b) a flow reactor for controlled OH and/or O3 oxidation of relevant gas phase species to produce well-characterized SOA particles. After formation, the aerosol particles are subjected to physical and chemical processes that simulate aerosol growth and aging. A suite of instruments in our laboratory is used to characterize the physical and chemical properties of aerosol particles before and after processing. The Time of Flight Aerosol Mass Spectrometer (ToF-AMS) together with a Scanning Mobility Particle Sizer (SMPS) measures particle mass, volume, density, composition (including black carbon content), dynamic shape factor, and fractal dimension. The–ToF-AMS was developed at ARI with Boston College participation. About 120 AMS instruments are now in service (including 5 built for DOE laboratories) performing field and laboratory studies world-wide. Other major instruments include a thermal denuder, two Differential Mobility Analyzers (DMA), a Cloud Condensation Nuclei Counter (CCN), a Thermal desorption Aerosol GC/MS (TAG) and the new Soot Particle Aerosol Mass Spectrometer (SP-AMS). Optical instrumentation required for the studies have been brought to our laboratory as part of ongoing and planned collaborative projects with colleagues from DOE, NOAA and university laboratories. Optical instruments that will be utilized include a Photoacoustic Spectrometer (PAS), a Cavity Ring Down Aerosol Extinction Spectrometer (CRD-AES), a Photo Thermal Interferometer (PTI), a new 7-wavelength Aethalometer and a Cavity Attenuated Phase Shift Extinction Monitor (CAPS). These instruments are providing aerosol absorption, extinction and scattering coefficients at a range of atmospherically relevant wavelengths. During the past two years our work has continued along the lines of our original proposal. We report on 12 completed and/or continuing projects conducted during the period 08/14 to 0814/2015. These projects are described in 17 manuscripts published in refereed journals.

  4. Aerosol mass spectrometry systems and methods

    DOE Patents [OSTI]

    Fergenson, David P.; Gard, Eric E.

    2013-08-20

    A system according to one embodiment includes a particle accelerator that directs a succession of polydisperse aerosol particles along a predetermined particle path; multiple tracking lasers for generating beams of light across the particle path; an optical detector positioned adjacent the particle path for detecting impingement of the beams of light on individual particles; a desorption laser for generating a beam of desorbing light across the particle path about coaxial with a beam of light produced by one of the tracking lasers; and a controller, responsive to detection of a signal produced by the optical detector, that controls the desorption laser to generate the beam of desorbing light. Additional systems and methods are also disclosed.

  5. Country profile: Hungary

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    Country Profile: Hungary has been prepared as a background document for use by US Government agencies and US businesses interested in becoming involved with the new democracies of Eastern Europe as they pursue sustainable economic development. The focus of the Profile is on energy and highlights information on Hungary's energy supply, demand, and utilization. It identifies patterns of energy usage in the important economic sectors, especially industry, and provides a preliminary assessment for opportunities to improve efficiencies in energy production, distribution and use by introducing more efficient technologies. The use of more efficient technologies would have the added benefit of reducing the environmental impact which, although is not the focus of the report, is an issue that effects energy choices. The Profile also presents considerable economic information, primarily in the context of how economic restructuring may affect energy supply, demand, and the introduction of more efficient technologies.

  6. Country profile: Hungary

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    Country Profile: Hungary has been prepared as a background document for use by US Government agencies and US businesses interested in becoming involved with the new democracies of Eastern Europe as they pursue sustainable economic development. The focus of the Profile is on energy and highlights information on Hungary`s energy supply, demand, and utilization. It identifies patterns of energy usage in the important economic sectors, especially industry, and provides a preliminary assessment for opportunities to improve efficiencies in energy production, distribution and use by introducing more efficient technologies. The use of more efficient technologies would have the added benefit of reducing the environmental impact which, although is not the focus of the report, is an issue that effects energy choices. The Profile also presents considerable economic information, primarily in the context of how economic restructuring may affect energy supply, demand, and the introduction of more efficient technologies.

  7. Detonation Wave Profile

    SciTech Connect (OSTI)

    Menikoff, Ralph

    2015-12-14

    The Zel’dovich-von Neumann-Doering (ZND) profile of a detonation wave is derived. Two basic assumptions are required: i. An equation of state (EOS) for a partly burned explosive; P(V, e, λ). ii. A burn rate for the reaction progress variable; d/dt λ = R(V, e, λ). For a steady planar detonation wave the reactive flow PDEs can be reduced to ODEs. The detonation wave profile can be determined from an ODE plus algebraic equations for points on the partly burned detonation loci with a specified wave speed. Furthermore, for the CJ detonation speed the end of the reaction zone is sonic. A solution to the reactive flow equations can be constructed with a rarefaction wave following the detonation wave profile. This corresponds to an underdriven detonation wave, and the rarefaction is know as a Taylor wave.

  8. Aerosol Radiative Forcing Under Cloudless Conditions.in Winter...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ARF in the shortwave range is determined by the difference between the net fluxes of the solar radiation, calculated with and without the aerosol component of the atmosphere. The...

  9. Ganges Valley Aerosol Experiment (GVAX) Final Campaign Report

    SciTech Connect (OSTI)

    Kotamarthi, VR

    2013-12-01

    In general, the Indian Summer Monsoon (ISM) as well as the and the tropical monsoon climate is influenced by a wide range of factors. Under various climate change scenarios, temperatures over land and into the mid troposphere are expected to increase, intensifying the summer pressure gradient differential between land and ocean and thus strengthening the ISM. However, increasing aerosol concentration, air pollution, and deforestation result in changes to surface albedo and insolation, potentially leading to low monsoon rainfall. Clear evidence points to increasing aerosol concentrations over the Indian subcontinent with time, and several hypotheses regarding the effect on monsoons have been offered. The Ganges Valley Aerosol Experiment (GVAX) field study aimed to provide critical data to address these hypotheses and contribute to developing better parameterizations for tropical clouds, convection, and aerosol-cloud interactions. The primary science questions for the mission were as follows:

  10. Aerosol Optical Depth Value-Added Product Report

    SciTech Connect (OSTI)

    Koontz, A; Hodges, G; Barnard, J; Flynn, C; Michalsky, J

    2013-03-17

    This document describes the process applied to retrieve aerosol optical depth (AOD) from multifilter rotating shadowband radiometers (MFRSR) and normal incidence multifilter radiometers (NIMFR) operated at the ARM Climate Research Facility’s ground-based facilities.

  11. ARM - PI Product - Aerosol Retrievals from ARM SGP MFRSR Data

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Aerosol Retrievals from ARM SGP MFRSR Data The Multi-Filter Rotating Shadowband...

  12. Field Trial of an Aerosol-Based Enclosure Sealing Technology

    SciTech Connect (OSTI)

    Harrington, Curtis; Springer, David

    2015-09-01

    This report presents the results from several demonstrations of a new method for sealing building envelope air leaks using an aerosol sealing process developed by the Western Cooling Efficiency Center at UC Davis. The process involves pressurizing a building while applying an aerosol sealant to the interior. As air escapes through leaks in the building envelope, the aerosol particles are transported to the leaks where they collect and form a seal that blocks the leak. Standard blower door technology is used to facilitate the building pressurization, which allows the installer to track the sealing progress during the installation and automatically verify the final building tightness. Each aerosol envelope sealing installation was performed after drywall was installed and taped, and the process did not appear to interrupt the construction schedule or interfere with other trades working in the homes. The labor needed to physically seal bulk air leaks in typical construction will not be replaced by this technology.

  13. Science Overview Document Indirect and Semi-Direct Aerosol Campaign...

    Office of Scientific and Technical Information (OSTI)

    in October 2004, we will be able to contrast the arctic aerosol and cloud properties ... it can largely rely on the European Centre for Medium-Range Weather Forecasts analysis. ...

  14. Pressure-flow reducer for aerosol focusing devices

    DOE Patents [OSTI]

    Gard, Eric; Riot, Vincent; Coffee, Keith; Woods, Bruce; Tobias, Herbert; Birch, Jim; Weisgraber, Todd

    2008-04-22

    A pressure-flow reducer, and an aerosol focusing system incorporating such a pressure-flow reducer, for performing high-flow, atmosphere-pressure sampling while delivering a tightly focused particle beam in vacuum via an aerodynamic focusing lens stack. The pressure-flow reducer has an inlet nozzle for adjusting the sampling flow rate, a pressure-flow reduction region with a skimmer and pumping ports for reducing the pressure and flow to enable interfacing with low pressure, low flow aerosol focusing devices, and a relaxation chamber for slowing or stopping aerosol particles. In this manner, the pressure-flow reducer decouples pressure from flow, and enables aerosol sampling at atmospheric pressure and at rates greater than 1 liter per minute.

  15. ARM - Field Campaign - ARM Cloud Aerosol Precipitation Experiment...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : ARM Cloud Aerosol Precipitation Experiment (ACAPEX) 2015.01.14 - 2015.02.12 Lead...

  16. ARM - Field Campaign - MArine Stratus Radiation Aerosol and Drizzle...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsMArine Stratus Radiation Aerosol and Drizzle (MASRAD) IOP Campaign Links Science Plan AMF Point Reyes Website AMF Point Reyes Data Plots ARM Data Discovery Browse Data...

  17. ARM - Field Campaign - ARM Cloud Aerosol Precipitation Experiment...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : ARM Cloud Aerosol Precipitation Experiment (ACAPEX): Aerial Observations 2015.01.14...

  18. ARM - Field Campaign - 2007 Cumulus Humilis Aerosol Process Study...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : 2007 Cumulus Humilis Aerosol Process Study (CHAPS) 2007.06.04 - 2007.06.25 Lead...

  19. ARM - Field Campaign - Biogenic Aerosols - Effects on Clouds...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Campaign Links BAECC Website ARM Data Discovery Browse Data Related Campaigns Biogenic Aerosols - Effects on Clouds and Climate: Cloud OD Sensor TWST 2014.06.15, Scott, AMF...

  20. ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Airborne...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Two-Column Aerosol Project (TCAP): Airborne HSRL and RSP Measurements 2012.07.01 -...

  1. ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Ground...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discovery Browse Data Related Campaigns Two-Column Aerosol Project (TCAP) 2012.07.01, Berg, AMF Comments? We would love to hear from you Send us a note below or call us at...

  2. Microsoft Word - Aerosol Working Group_Norfolk 2008.doc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactions Under Varying Meteorological Conditions: Southern Great Plains Vs. Pt. Reyes 15:52 0:13 Jefferson AOS mentor report 16:05 0:13 Kassianov Retrieval of Aerosol...

  3. Ganges Valley Aerosol Experiment (GVAX) Final Campaign Report (Program

    Office of Scientific and Technical Information (OSTI)

    Document) | SciTech Connect Ganges Valley Aerosol Experiment (GVAX) Final Campaign Report Citation Details In-Document Search Title: Ganges Valley Aerosol Experiment (GVAX) Final Campaign Report In general, the Indian Summer Monsoon (ISM) as well as the and the tropical monsoon climate is influenced by a wide range of factors. Under various climate change scenarios, temperatures over land and into the mid troposphere are expected to increase, intensifying the summer pressure gradient

  4. Hyperspectral aerosol optical depths from TCAP flights (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Journal Article: Hyperspectral aerosol optical depths from TCAP flights Citation Details In-Document Search Title: Hyperspectral aerosol optical depths from TCAP flights Authors: Shinozuka Y. ; Wagener R. ; Johnson, R. R. ; Flynn, C. J. ; Russell, P. B. ; Schmid, B. ; Redemann, J. ; Dunagan, S. E. ; Kluzek, C. D. ; Hubbe, J. M. ; Segal-Rosenheimer, M. ; Livingston, J. M. ; Eck, T. F. ; Gregory, L. ; Chand, D. ; Berg, L. K. ; Rogers, R. R. ; Ferrare, R. A. ; Hair, J. W. ;

  5. Organic Aerosol Component (OACOMP) Value-Added Product Report

    SciTech Connect (OSTI)

    Fast, J; Zhang, Q; Tilp, A; Shippert, T; Parworth, C; Mei, F

    2013-08-23

    Significantly improved returns in their aerosol chemistry data can be achieved via the development of a value-added product (VAP) of deriving OA components, called Organic Aerosol Components (OACOMP). OACOMP is primarily based on multivariate analysis of the measured organic mass spectral matrix. The key outputs of OACOMP are the concentration time series and the mass spectra of OA factors that are associated with distinct sources, formation and evolution processes, and physicochemical properties.

  6. Observed Aerosol Radiative Forcings: Comparison for Natural and Anthropogenic Sources

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol Radiative Forcings: Comparison for Natural and Anthropogenic Sources A. M. Vogelmann Center for Atmospheric Sciences and Center for Clouds, Chemistry and Climate Scripps Institution of Oceanography University of California San Diego, California Introduction The modeling of radiative forcing, and aerosol radiative forcing in particular, is one of the largest uncertainties in predicting climate change (Hansen et al. 1998). Addressing this uncertainty first requires an accurate

  7. Understanding the Effect of Aerosol Properties on Cloud Droplet Formation

    Office of Scientific and Technical Information (OSTI)

    during TCAP Field Campaign Report (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Understanding the Effect of Aerosol Properties on Cloud Droplet Formation during TCAP Field Campaign Report Citation Details In-Document Search Title: Understanding the Effect of Aerosol Properties on Cloud Droplet Formation during TCAP Field Campaign Report The formation of clouds is an essential element in understanding the Earth's radiative budget. Liquid water clouds

  8. ARM Cloud Aerosol Precipitation Experiment (ACAPEX) Science Plan (Program

    Office of Scientific and Technical Information (OSTI)

    Document) | SciTech Connect ARM Cloud Aerosol Precipitation Experiment (ACAPEX) Science Plan Citation Details In-Document Search Title: ARM Cloud Aerosol Precipitation Experiment (ACAPEX) Science Plan The western U.S. receives precipitation predominantly during the cold season when storms approach from the Pacific Ocean. The snowpack that accumulates during winter storms provides about 70-90% of water supply for the region. Understanding and modeling the fundamental processes that govern the

  9. Comprehensive Mapping and Characteristic Regimes of Aerosol Effects on the

    Office of Scientific and Technical Information (OSTI)

    Formation and Evolution of Pyro-Convective Clouds (Journal Article) | SciTech Connect Comprehensive Mapping and Characteristic Regimes of Aerosol Effects on the Formation and Evolution of Pyro-Convective Clouds Citation Details In-Document Search Title: Comprehensive Mapping and Characteristic Regimes of Aerosol Effects on the Formation and Evolution of Pyro-Convective Clouds A recent parcel model study (Reutter et al., 2009) showed three deterministic regimes of initial cloud droplet

  10. Organic and Elemental Carbon Aerosol Particulates at the Southern Great

    Office of Scientific and Technical Information (OSTI)

    Plains Site Field Campaign Report (Program Document) | SciTech Connect Program Document: Organic and Elemental Carbon Aerosol Particulates at the Southern Great Plains Site Field Campaign Report Citation Details In-Document Search Title: Organic and Elemental Carbon Aerosol Particulates at the Southern Great Plains Site Field Campaign Report The purpose of this study was to measure the organic carbon (OC) and elemental carbon (EC) fractions of PM2.5 particulate matter at the U.S. Department

  11. Biogenic Aerosols - Effects on Climate and Clouds. Cloud Optical Depth

    Office of Scientific and Technical Information (OSTI)

    (COD) Sensor Three-Waveband Spectrally-Agile Technique (TWST) Field Campaign Report (Technical Report) | SciTech Connect Biogenic Aerosols - Effects on Climate and Clouds. Cloud Optical Depth (COD) Sensor Three-Waveband Spectrally-Agile Technique (TWST) Field Campaign Report Citation Details In-Document Search Title: Biogenic Aerosols - Effects on Climate and Clouds. Cloud Optical Depth (COD) Sensor Three-Waveband Spectrally-Agile Technique (TWST) Field Campaign Report This report describes

  12. Biogenic Aerosols-Effects on Clouds and Climate: Snowfall Experiment

    Office of Scientific and Technical Information (OSTI)

    Field Campaign Report (Program Document) | SciTech Connect SciTech Connect Search Results Program Document: Biogenic Aerosols-Effects on Clouds and Climate: Snowfall Experiment Field Campaign Report Citation Details In-Document Search Title: Biogenic Aerosols-Effects on Clouds and Climate: Snowfall Experiment Field Campaign Report The snowfall measurement campaign took place during deployment of the U.S. Department of Energy (DOE)'s Atmospheric Radiation Measurement (ARM) Climate Research

  13. Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems

    Office of Scientific and Technical Information (OSTI)

    (HI-SCALE) Science Plan (Program Document) | SciTech Connect Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) Science Plan Citation Details In-Document Search Title: Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) Science Plan Cumulus convection is an important component in the atmospheric radiation budget and hydrologic cycle over the Southern Great Plains and over many regions of the world, particularly during the

  14. Atmospheric Science Program Cumulus Humilis Aerosol Processing Study (CHAPS)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Program Cumulus Humilis Aerosol Processing Study (CHAPS) General Description 'Cumulus humilis' is the scientific term used to describe the small fair weather clouds that dot the summer skies over Oklahoma. During the month of June, scientists sponsored by the U.S. Department of Energy's Atmospheric Science Program will use aircraft and ground based instruments to obtain information about the physical and chemical properties of these clouds and the small airborne particles - called aerosols -

  15. Thermodynamic Characterization of Mexico City Aerosol during MILAGRO 2006

    SciTech Connect (OSTI)

    Fountoukis, C.; Nenes, A.; Sullivan, A.; Weber, R.; VanReken, T.; Fischer, M.; Matias, E.; Moya, M.; Farmer, D.; Cohen, R.C.

    2008-12-05

    Fast measurements of aerosol and gas-phase constituents coupled with the ISORROPIA-II thermodynamic equilibrium model are used to study the partitioning of semivolatile inorganic species and phase state of Mexico City aerosol sampled at the T1 site during the MILAGRO 2006 campaign. Overall, predicted semivolatile partitioning agrees well with measurements. PM{sub 2.5} is insensitive to changes in ammonia but is to acidic semivolatile species. For particle sizes up to 1 {micro}m diameter, semi-volatile partitioning requires 30-60 min to equilibrate; longer time is typically required during the night and early morning hours. When the aerosol sulfate-to-nitrate molar ratio is less than unity, predictions improve substantially if the aerosol is assumed to follow the deliquescent phase diagram. Treating crustal species as 'equivalent sodium' (rather than explicitly) in the thermodynamic equilibrium calculations introduces important biases in predicted aerosol water uptake, nitrate and ammonium; neglecting crustals further increases errors dramatically. This suggests that explicitly considering crustals in the thermodynamic calculations is required to accurately predict the partitioning and phase state of aerosols.

  16. On modification of global warming by sulfate aerosols

    SciTech Connect (OSTI)

    Mitchell, J.F.B.; Johns, T.C.

    1997-02-01

    There is increasing evidence that the response of climate to increasing greenhouse gases may be modified by accompanying increases in sulfate aerosols. In this study, the patterns of response in the surface climatology of a coupled ocean-atmosphere general circulation model forced by increases in carbon dioxide alone is compared with those obtained by increasing carbon dioxide and aerosol forcing. The simulations are run from early industrial times using the estimated historical forcing and continued to the end of the twenty-first century assuming a nonintervention emissions scenario for greenhouse gases and aerosols. The comparison is made for the period 2030-2050 when the aerosol forcing is a maximum. In winter, the cooling due to aerosols merely tends to reduce the response to carbon dioxide, whereas in summer, it weakens the monsoon circulations and reverses some of the changes in the hydrological cycle on increasing carbon dioxide. This response is in some respects similar to that found in simulations with changed orbital parameters, as between today and the middle Holocene. The hydrological response in the palaeosimulations is supported by palaeoclimatic reconstructions. The results of changes in aerosol concentrations of the magnetic projected in the scenarios would have a major effect on regional climate, especially over Europe and Southeast Asia. 74 refs., 12 figs., 6 tabs.

  17. Low profile thermite igniter

    SciTech Connect (OSTI)

    Halcomb, Danny L.; Mohler, Jonathan H.

    1991-03-05

    A thermite igniter/heat source comprising a housing, high-density thermite, and low-density thermite. The housing has a relatively low profile and can focus energy by means of a torch-like ejection of hot reaction products and is externally ignitable.

  18. Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Woody, M. C.; Baker, K. R.; Hayes, P. L.; Jimenez, J. L.; Koo, B.; Pye, H. O. T.

    2015-10-05

    Community Multiscale Air Quality (CMAQ) model simulations utilizing the volatility basis set (VBS) treatment for organic aerosols (CMAQ-VBS) were evaluated against measurements collected at routine monitoring networks (Chemical Speciation Network (CSN) and Interagency Monitoring of Protected Visual Environments (IMPROVE)) and those collected during the 2010 California at the Nexus of Air Quality and Climate Change (CalNex) field campaign to examine important sources of organic aerosol (OA) in southern California. CMAQ-VBS (OA lumped by volatility, semivolatile POA) underpredicted total organic carbon (OC) at CSN (?25.5 % Normalized Median Bias (NMdnB)) and IMPROVE (?63.9 % NMdnB) locations and total OC wasmoreunderpredicted to a greater degree compared to the CMAQ-AE6 (9.9 and ?55.7 % NMdnB, respectively; semi-explicit OA treatment, SOA lumped by parent hydrocarbon, nonvolatile POA). However, comparisons to aerosol mass spectrometer (AMS) measurements collected at Pasadena, CA indicated that CMAQ-VBS better represented the diurnal profile and the primary/secondary split of OA. CMAQ-VBS secondary organic aerosol (SOA) underpredicted the average measured AMS oxygenated organic aerosol (OOA, a surrogate of SOA) concentration by a factor of 5.2 (4.7 ?g m?3 measured vs. 0.9 ?g m?3 modeled), a considerable improvement to CMAQ-AE6 SOA predictions, which were approximately 24 lower than the average AMS OOA concentration. We use two new methods, based on species ratios and on a simplified SOA parameterization from the observations, to apportion the SOA underprediction for CMAQ-VBS to too slow photochemical oxidation (estimated as 1.5 lower than observed at Pasadena using ? log (NOx: NOy)), low intrinsic SOA formation efficiency (low by 1.6 to 2 for Pasadena), and too low emissions or too high dispersion for the Pasadena site (estimated to be 1.6 to 2.3 too low/high). The first and third factors will be similar for CMAQ-AE6, while the intrinsic SOA formation efficiency for that model is estimated to be too low by about 7. For CMAQ-VBS, 90 % of the anthropogenic SOA mass formed was attributed to aged secondary semivolatile vapors (70 % originating from volatile organic compounds (VOCs) and 20 % from intermediate volatility compounds (IVOCs)). From source-apportioned model results, we found most of the CMAQ-VBS modeled POA at the Pasadena CalNex site was attributable to meat cooking emissions (48 %, and consistent with a substantial fraction of cooking OA in the observations), compared to 18 % from gasoline vehicle emissions, 13 % from biomass burning (in the form of residential wood combustion), and 8 % from diesel vehicle emissions. All "other" inventoried emission sources (e.g. industrial/point sources) comprised the final 13 %. The CMAQ-VBS semivolatile POA treatment underpredicted AMS hydrocarbon-like OA (HOA) + cooking-influenced OA (CIOA) at Pasadena by a factor of 1.8 (1.16 ?g m?3 modeled vs. 2.05 ?g m?3 observed) compared to a factor of 1.4 overprediction of POA in CMAQ-AE6, but did well to capture the AMS diurnal profile of HOA and CIOA, with the exception of the midday peak. We estimated that using the National Emission Inventory (NEI) POA emissions without scaling to represent SVOCs underestimates SVOCs by ~1.7.less

  19. Ganges Valley Aerosol Experiment: Science and Operations Plan

    SciTech Connect (OSTI)

    Kotamarthi, VR

    2010-06-21

    The Ganges Valley region is one of the largest and most rapidly developing sections of the Indian subcontinent. The Ganges River, which provides the region with water needed for sustaining life, is fed primarily by snow and rainfall associated with Indian summer monsoons. Impacts of changes in precipitation patterns, temperature, and the flow of the snow-fed rivers can be immense. Recent satellite-based measurements have indicated that the upper Ganges Valley has some of the highest persistently observed aerosol optical depth values. The aerosol layer covers a vast region, extending across the Indo-Gangetic Plain to the Bay of Bengal during the winter and early spring of each year. The persistent winter fog in the region is already a cause of much concern, and several studies have been proposed to understand the economic, scientific, and societal dimensions of this problem. During the INDian Ocean EXperiment (INDOEX) field studies, aerosols from this region were shown to affect cloud formation and monsoon activity over the Indian Ocean. This is one of the few regions showing a trend toward increasing surface dimming and enhanced mid-tropospheric warming. Increasing air pollution over this region could modify the radiative balance through direct, indirect, and semi-indirect effects associated with aerosols. The consequences of aerosols and associated pollution for surface insolation over the Ganges Valley and monsoons, in particular, are not well understood. The proposed field study is designed for use of (1) the ARM Mobile Facility (AMF) to measure relevant radiative, cloud, convection, and aerosol optical characteristics over mainland India during an extended period of 912 months and (2) the G-1 aircraft and surface sites to measure relevant aerosol chemical, physical, and optical characteristics in the Ganges Valley during a period of 612 weeks. The aerosols in this region have complex sources, including burning of coal, biomass, and biofuels; automobile emissions; and dust. The extended AMF deployment will enable measurements under different regimes of the climate and aerosol abundancein the wet monsoon period with low aerosol loading; in the dry, hot summer with aerosols dispersed throughout the atmospheric column; and in the cool, dry winter with aerosols confined mostly to the boundary later and mid-troposphere. Each regime, in addition, has its own distinct radiative and atmospheric dynamic drivers. The aircraft operational phase will assist in characterizing the aerosols at times when they have been observed to be at the highest concentrations. A number of agencies in India will collaborate with the proposed field study and provide support in terms of planning, aircraft measurements, and surface sites. The high concentration of aerosols in the upper Ganges Valley, together with hypotheses involving several possible mechanisms with direct impacts on the hydrologic cycle of the region, gives us a unique opportunity to generate data sets that will be useful both in understanding the processes at work and in providing answers regarding the effects of aerosols on climate in a region where the perturbation is the highest.

  20. Development of an aerosol microphysical module: Aerosol Two-dimensional bin module for foRmation and Aging Simulation (ATRAS)

    SciTech Connect (OSTI)

    Matsui, H.; Koike, Makoto; Kondo, Yutaka; Fast, Jerome D.; Takigawa, M.

    2014-09-30

    Number concentrations, size distributions, and mixing states of aerosols are essential parameters for accurate estimation of aerosol direct and indirect effects. In this study, we developed an aerosol module, designated Aerosol Two-dimensional bin module for foRmation and Aging Simulation (ATRAS), that can represent these parameters explicitly by considering new particle formation (NPF), black carbon (BC) aging, and secondary organic aerosol (SOA) processes. A two-dimensional bin representation is used for particles with dry diameters from 40 nm to 10 m to resolve both aerosol size (12 bins) and BC mixing state (10 bins) for a total of 120 bins. The particles with diameters from 1 to 40 nm are resolved using an additional 8 size bins to calculate NPF. The ATRAS module was implemented in the WRF-chem model and applied to examine the sensitivity of simulated mass, number, size distributions, and optical and radiative parameters of aerosols to NPF, BC aging and SOA processes over East Asia during the spring of 2009. BC absorption enhancement by coating materials was about 50% over East Asia during the spring, and the contribution of SOA processes to the absorption enhancement was estimated to be 10 20% over northern East Asia and 20 35% over southern East Asia. A clear north-south contrast was also found between the impacts of NPF and SOA processes on cloud condensation nuclei (CCN) concentrations: NPF increased CCN concentrations at higher supersaturations (smaller particles) over northern East Asia, whereas SOA increased CCN concentrations at lower supersaturations (larger particles) over southern East Asia. Application of ATRAS to East Asia also showed that the impact of each process on each optical and radiative parameter depended strongly on the process and the parameter in question. The module can be used in the future as a benchmark model to evaluate the accuracy of simpler aerosol models and examine interactions between NPF, BC aging, and SOA processes under different meteorological conditions and emissions.

  1. New understanding and quantification of the regime dependence of aerosol-cloud interaction for studying aerosol indirect effects

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Chen, Jingyi; Liu, Yangang; Zhang, Minghua; Peng, Yiran

    2016-02-28

    In this study, aerosol indirect effects suffer from large uncertainty in climate models and among observations. This study focuses on two plausible factors: regime dependence of aerosol-cloud interactions and the effect of cloud droplet spectral shape. We show, using a new parcel model, that combined consideration of droplet number concentration (Nc) and relative dispersion (ε, ratio of standard deviation to mean radius of the cloud droplet size distribution) better characterizes the regime dependence of aerosol-cloud interactions than considering Nc alone. Given updraft velocity (w), ε increases with increasing aerosol number concentration (Na) in the aerosol-limited regime, peaks in the transitionalmore » regime, and decreases with further increasing Na in the updraft-limited regime. This new finding further reconciles contrasting observations in literature and reinforces the compensating role of dispersion effect. The nonmonotonic behavior of ε further quantifies the relationship between the transitional Na and w that separates the aerosol- and updraft-limited regimes.« less

  2. Aerosol specification in single-column CAM5

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lebassi-Habtezion, B.; Caldwell, P.

    2014-11-17

    The ability to run a global climate model in single-column mode is very useful for testing model improvements because single-column models (SCMs) are inexpensive to run and easy to interpret. A major breakthrough in Version 5 of the Community Atmosphere Model (CAM5) is the inclusion of prognostic aerosol. Unfortunately, this improvement was not coordinated with the SCM version of CAM5 and as a result CAM5-SCM initializes aerosols to zero. In this study we explore the impact of running CAM5-SCM with aerosol initialized to zero (hereafter named Default) and test three potential fixes. The first fix is to use CAM5's prescribedmore » aerosol capability, which specifies aerosols at monthly climatological values. The second method is to prescribe aerosols at observed values. The third approach is to fix droplet and ice crystal numbers at prescribed values. We test our fixes in four different cloud regimes to ensure representativeness: subtropical drizzling stratocumulus (based on the DYCOMS RF02 case study), mixed-phase Arctic stratocumulus (using the MPACE-B case study), tropical shallow convection (using the RICO case study), and summertime mid-latitude continental convection (using the ARM95 case study). Stratiform cloud cases (DYCOMS RF02 and MPACE-B) were found to have a strong dependence on aerosol concentration, while convective cases (RICO and ARM95) were relatively insensitive to aerosol specification. This is perhaps expected because convective schemes in CAM5 do not currently use aerosol information. Adequate liquid water content in the MPACE-B case was only maintained when ice crystal number concentration was specified because the Meyers et al. (1992) deposition/condensation ice nucleation scheme used by CAM5 greatly overpredicts ice nucleation rates, causing clouds to rapidly glaciate. Surprisingly, predicted droplet concentrations for the ARM95 region in both SCM and global runs were around 25 cm−3, which is much lower than observed. This finding suggests that CAM5 has problems capturing aerosol effects in this climate regime.« less

  3. Spent fuel sabotage aerosol test program :FY 2005-06 testing and aerosol data summary.

    SciTech Connect (OSTI)

    Gregson, Michael Warren; Brockmann, John E.; Nolte, O. (Fraunhofer institut fur toxikologie und experimentelle Medizin, Germany); Loiseau, O. (Institut de radioprotection et de Surete Nucleaire, France); Koch, W. (Fraunhofer institut fur toxikologie und experimentelle Medizin, Germany); Molecke, Martin Alan; Autrusson, Bruno (Institut de radioprotection et de Surete Nucleaire, France); Pretzsch, Gunter Guido (Gesellschaft fur anlagen- und Reaktorsicherheit, Germany); Billone, M. C. (Argonne National Laboratory, USA); Lucero, Daniel A.; Burtseva, T. (Argonne National Laboratory, USA); Brucher, W (Gesellschaft fur anlagen- und Reaktorsicherheit, Germany); Steyskal, Michele D.

    2006-10-01

    This multinational, multi-phase spent fuel sabotage test program is quantifying the aerosol particles produced when the products of a high energy density device (HEDD) interact with and explosively particulate test rodlets that contain pellets of either surrogate materials or actual spent fuel. This program has been underway for several years. This program provides source-term data that are relevant to some sabotage scenarios in relation to spent fuel transport and storage casks, and associated risk assessments. This document focuses on an updated description of the test program and test components for all work and plans made, or revised, primarily during FY 2005 and about the first two-thirds of FY 2006. It also serves as a program status report as of the end of May 2006. We provide details on the significant findings on aerosol results and observations from the recently completed Phase 2 surrogate material tests using cerium oxide ceramic pellets in test rodlets plus non-radioactive fission product dopants. Results include: respirable fractions produced; amounts, nuclide content, and produced particle size distributions and morphology; status on determination of the spent fuel ratio, SFR (the ratio of respirable particles from real spent fuel/respirables from surrogate spent fuel, measured under closely matched test conditions, in a contained test chamber); and, measurements of enhanced volatile fission product species sorption onto respirable particles. We discuss progress and results for the first three, recently performed Phase 3 tests using depleted uranium oxide, DUO{sub 2}, test rodlets. We will also review the status of preparations and the final Phase 4 tests in this program, using short rodlets containing actual spent fuel from U.S. PWR reactors, with both high- and lower-burnup fuel. These data plus testing results and design are tailored to support and guide, follow-on computer modeling of aerosol dispersal hazards and radiological consequence assessments. This spent fuel sabotage--aerosol test program, performed primarily at Sandia National Laboratories, with support provided by both the U.S. Department of Energy and the Nuclear Regulatory Commission, had significant inputs from, and is strongly supported and coordinated by both the U.S. and international program participants in Germany, France, and the U.K., as part of the international Working Group for Sabotage Concerns of Transport and Storage Casks, WGSTSC.

  4. Temperature profile detector

    DOE Patents [OSTI]

    Tokarz, R.D.

    1983-10-11

    Disclosed is a temperature profile detector shown as a tubular enclosure surrounding an elongated electrical conductor having a plurality of meltable conductive segments surrounding it. Duplicative meltable segments are spaced apart from one another along the length of the enclosure. Electrical insulators surround these elements to confine molten material from the segments in bridging contact between the conductor and a second electrical conductor, which might be the confining tube. The location and rate of growth of the resulting short circuits between the two conductors can be monitored by measuring changes in electrical resistance between terminals at both ends of the two conductors. Additional conductors and separate sets of meltable segments operational at differing temperatures can be monitored simultaneously for measuring different temperature profiles. 8 figs.

  5. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200

  6. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total

  7. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total

  8. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum

  9. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409

  10. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3

  11. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5

  12. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110

  13. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100

  14. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100

  15. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3

  16. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322

  17. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031

  18. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3

  19. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31

  20. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0

  1. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total

  2. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630

  3. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0

  4. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235

  5. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    York Nuclear Profile 2010 New York profile New York total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,271 13.4 41,870 30.6 Coal 2,781 7.1 13,583 9.9 Hydro and Pumped Storage 5,714 14.5 24,942 18.2 Natural Gas 17,407 44.2 48,916 35.7 Other 1 45 0.1 832 0.6 Other Renewable1 1,719 4.4 4,815 3.5 Petroleum 6,421 16.3

  6. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6

  7. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total

  8. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8

  9. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031

  10. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3

  11. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0

  12. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total

  13. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630

  14. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0

  15. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total

  16. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200

  17. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total

  18. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total

  19. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum

  20. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409

  1. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3

  2. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5

  3. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110

  4. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100

  5. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100

  6. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322

  7. State Nuclear Profiles 2010

    U.S. Energy Information Administration (EIA) Indexed Site

    Nuclear Profiles 2010 April 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing

  8. Temperature-profile detector

    DOE Patents [OSTI]

    Not Available

    1981-01-29

    Temperature profiles at elevated temperature conditions are monitored by use of an elongated device having two conductors spaced by the minimum distance required to normally maintain an open circuit between them. The melting point of one conductor is selected at the elevated temperature being detected, while the melting point of the other is higher. As the preselected temperature is reached, liquid metal will flow between the conductors creating short circuits which are detectable as to location.

  9. Temperature profile detector

    DOE Patents [OSTI]

    Tokarz, Richard D.

    1983-01-01

    Temperature profiles at elevated temperature conditions are monitored by use of an elongated device having two conductors spaced by the minimum distance required to normally maintain an open circuit between them. The melting point of one conductor is selected at the elevated temperature being detected, while the melting point of the other is higher. As the preselected temperature is reached, liquid metal will flow between the conductors, creating short circuits which are detectable as to location.

  10. LANL Data Profile

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Data Profile 2012-2013 Total: 10,407 Quick Facts FY2013 Operating Budget ..... $1.95 billion Operating costs 54% NNSA Weapons Programs 12% Work for other agencies 10% Nonproliferation programs 9% Environmental management 6% Safeguards and security 5% DOE Office of Science 4% Energy and related programs Workforce Demographics Average Age: 46 67% male, 33% female 45% ethnic minorities 67% university degrees -28% undergraduate degrees -17% graduate degrees -22% PhD degrees Capital/Construction

  11. Surface profiling interferometer

    DOE Patents [OSTI]

    Takacs, Peter Z.; Qian, Shi-Nan

    1989-01-01

    The design of a long-trace surface profiler for the non-contact measurement of surface profile, slope error and curvature on cylindrical synchrotron radiation (SR) mirrors. The optical system is based upon the concept of a pencil-beam interferometer with an inherent large depth-of-field. The key feature of the optical system is the zero-path-difference beam splitter, which separates the laser beam into two colinear, variable-separation probe beams. A linear array detector is used to record the interference fringe in the image, and analysis of the fringe location as a function of scan position allows one to reconstruct the surface profile. The optical head is mounted on an air bearing slide with the capability to measure long aspheric optics, typical of those encountered in SR applications. A novel feature of the optical system is the use of a transverse "outrigger" beam which provides information on the relative alignment of the scan axis to the cylinder optic symmetry axis.

  12. CARES: Carbonaceous Aerosol and Radiative Effects Study Operations Plan

    SciTech Connect (OSTI)

    Zaveri, RA; Shaw, WJ; Cziczo, DJ

    2010-07-12

    The CARES field campaign is motivated by the scientific issues described in the CARES Science Plan. The primary objectives of this field campaign are to investigate the evolution and aging of carbonaceous aerosols and their climate-affecting properties in the urban plume of Sacramento, California, a mid-size, mid-latitude city that is located upwind of a biogenic volatile organic compound (VOC) emission region. Our basic observational strategy is to make comprehensive gas, aerosol, and meteorological measurements upwind, within, and downwind of the urban area with the DOE G-1 aircraft and at strategically located ground sites so as to study the evolution of urban aerosols as they age and mix with biogenic SOA precursors. The NASA B-200 aircraft, equipped with the High Spectral Resolution Lidar (HSRL), digital camera, and the Research Scanning Polarimeter (RSP), will be flown in coordination with the G-1 to characterize the vertical and horizontal distribution of aerosols and aerosol optical properties, and to provide the vertical context for the G-1 and ground in situ measurements.

  13. Indirect aerosol effect increases CMIP5 models projected Arctic warming

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Chylek, Petr; Vogelsang, Timothy J.; Klett, James D.; Hengartner, Nicholas; Higdon, Dave; Lesins, Glen; Dubey, Manvendra K.

    2016-02-20

    Phase 5 of the Coupled Model Intercomparison Project (CMIP5) climate models’ projections of the 2014–2100 Arctic warming under radiative forcing from representative concentration pathway 4.5 (RCP4.5) vary from 0.9° to 6.7°C. Climate models with or without a full indirect aerosol effect are both equally successful in reproducing the observed (1900–2014) Arctic warming and its trends. However, the 2014–2100 Arctic warming and the warming trends projected by models that include a full indirect aerosol effect (denoted here as AA models) are significantly higher (mean projected Arctic warming is about 1.5°C higher) than those projected by models without a full indirect aerosolmore » effect (denoted here as NAA models). The suggestion is that, within models including full indirect aerosol effects, those projecting stronger future changes are not necessarily distinguishable historically because any stronger past warming may have been partially offset by stronger historical aerosol cooling. In conclusion, the CMIP5 models that include a full indirect aerosol effect follow an inverse radiative forcing to equilibrium climate sensitivity relationship, while models without it do not.« less

  14. ARM - Field Campaign - Aerosol Life Cycle: UV-APS and Nano-SMPS

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsAerosol Life Cycle: UV-APS and Nano-SMPS ARM Data Discovery Browse Data Related Campaigns Aerosol Life Cycle IOP at BNL 2011.06.01, Sedlacek, OSC Comments? We would...

  15. Long-term impacts of aerosols on the vertical development of...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Long-term impacts of aerosols on the vertical development of clouds and precipitation Citation Details In-Document Search Title: Long-term impacts of aerosols on ...

  16. Aerosol Optical Depth Value-Added Product for the SAS-He Instrument...

    Office of Scientific and Technical Information (OSTI)

    Aerosol Optical Depth Value-Added Product for the SAS-He Instrument Citation Details In-Document Search Title: Aerosol Optical Depth Value-Added Product for the SAS-He Instrument ...

  17. The dependence of cloud particle size and precipitation probability on non-aerosol-loading related variables

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Explaining and reducing the uncertainties in the first aerosol i Explaining and reducing the uncertainties in the first aerosol indirect effect ndirect effect Hongfei Shao and Guosheng Liu Meteorology Department, Florida State University INTRODUCTION INTRODUCTION Anthropogenic aerosols enhance cloud reflectance of solar radiation by increasing the cloud droplet number concentrations. This so-called first Aerosol Indirect Effect (AIE) has a potentially large cooling tendency on our planet.

  18. "Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties

    Office of Scientific and Technical Information (OSTI)

    Over the ARM ACRF Sites" (Technical Report) | SciTech Connect Technical Report: "Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties Over the ARM ACRF Sites" Citation Details In-Document Search Title: "Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties Over the ARM ACRF Sites" Project goals; Characterize the aerosol and ice vertical distributions over the ARM NSA site, and in particular to discriminate between elevated aerosol

  19. Cloud Condensation Nuclei Activity of Aerosols during GoAmazon 2014/15

    Office of Scientific and Technical Information (OSTI)

    Field Campaign Report (Technical Report) | SciTech Connect Cloud Condensation Nuclei Activity of Aerosols during GoAmazon 2014/15 Field Campaign Report Citation Details In-Document Search Title: Cloud Condensation Nuclei Activity of Aerosols during GoAmazon 2014/15 Field Campaign Report Aerosol indirect effects, which represent the impact of aerosols on climate through influencing the properties of clouds, remain one of the main uncertainties in climate predictions (Stocker et al. 2013).

  20. Science Overview Document Indirect and Semi-Direct Aerosol Campaign (ISDAC)

    Office of Scientific and Technical Information (OSTI)

    April 2008 (Technical Report) | SciTech Connect Science Overview Document Indirect and Semi-Direct Aerosol Campaign (ISDAC) April 2008 Citation Details In-Document Search Title: Science Overview Document Indirect and Semi-Direct Aerosol Campaign (ISDAC) April 2008 The ARM Climate Research Facility's (ACRF) Aerial Vehicle Program (AVP) will deploy an intensive cloud and aerosol observing system to the ARM North Slope of Alaska (NSA) locale for a five week Indirect and Semi-Direct Aerosol

  1. The Two-Column Aerosol Project (TCAP) Science Plan (Program Document) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect The Two-Column Aerosol Project (TCAP) Science Plan Citation Details In-Document Search Title: The Two-Column Aerosol Project (TCAP) Science Plan The Two-Column Aerosol Project (TCAP) field campaign will provide a detailed set of observations with which to (1) perform radiative and cloud condensation nuclei (CCN) closure studies, (2) evaluate a new retrieval algorithm for aerosol optical depth (AOD) in the presence of clouds using passive remote sensing, (3) extend a

  2. Aerosols and Clouds: In Cahoots to Change Climate

    ScienceCinema (OSTI)

    Berg, Larry

    2014-06-02

    Key knowledge gaps persist despite advances in the scientific understanding of how aerosols and clouds evolve and affect climate. The Two-Column Aerosol Project, or TCAP, was designed to provide a detailed set of observations to tackle this area of unknowns. Led by PNNL atmospheric scientist Larry Berg, ARM's Climate Research Facility was deployed in Cape Cod, Massachusetts for the 12-month duration of TCAP, which came to a close in June 2013. "We are developing new tools to look at particle chemistry, like our mass spectrometer used in TCAP that can tell us the individual chemical composition of an aerosol," said Berg. "Then, we'll run our models and compare it with the data that we have to make sure we're getting correct answers and make sure our climate models are reflecting the best information."

  3. Aerosols and Clouds: In Cahoots to Change Climate

    SciTech Connect (OSTI)

    Berg, Larry

    2014-03-29

    Key knowledge gaps persist despite advances in the scientific understanding of how aerosols and clouds evolve and affect climate. The Two-Column Aerosol Project, or TCAP, was designed to provide a detailed set of observations to tackle this area of unknowns. Led by PNNL atmospheric scientist Larry Berg, ARM's Climate Research Facility was deployed in Cape Cod, Massachusetts for the 12-month duration of TCAP, which came to a close in June 2013. "We are developing new tools to look at particle chemistry, like our mass spectrometer used in TCAP that can tell us the individual chemical composition of an aerosol," said Berg. "Then, we'll run our models and compare it with the data that we have to make sure we're getting correct answers and make sure our climate models are reflecting the best information."

  4. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Arkansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Arkansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,754 30 Electric utilities 11,526 23 IPP & CHP 3,227 29 Net generation (megawatthours) 61,592,137 24 Electric utilities 48,752,895 18 IPP & CHP 12,839,241 28 Emissions Sulfur dioxide (short tons) 89,528 15 Nitrogen oxide (short tons) 47,048 20 Carbon dioxide (thousand metric tons) 37,289 23 Sulfur dioxide (lbs/MWh) 2.9 9 Nitrogen oxide

  5. Environmental profile of Paraguay

    SciTech Connect (OSTI)

    Not Available

    1985-12-01

    The social, cultural, physical, and economic dimensions of Paraguay's environment are analyzed to identify main environmental features and problems and to recommend specific actions. The environmental profile presents an overview of Paraguay's ethno-historic and anthropological background, present-day society, and the impact of pollution. Descriptions are presented of: the legal and institutional aspects of environmental policy; the structure and performance of the economy, with focus on the primary and energy sectors; physical resources (climate, geological, mineral, soil, and water resources); and biological resources (vegetation, wild animal life, protected areas, and fish resources).

  6. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Washington Electricity Profile 2014 Table 1. 2014 Summary statistics (Washington) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 30,949 10 Electric utilities 27,376 5 IPP & CHP 3,573 26 Net generation (megawatthours) 116,334,363 11 Electric utilities 102,294,256 5 IPP & CHP 14,040,107 24 Emissions Sulfur Dioxide (short tons) 13,716 36 Nitrogen Oxide (short tons) 18,316 40 Carbon Dioxide (thousand metric tons) 12,427 398 Sulfur Dioxide (lbs/MWh) 0.2 44

  7. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    West Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (West Virginia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,276 25 Electric utilities 11,981 21 IPP & CHP 4,295 21 Net generation (megawatthours) 81,059,577 19 Electric utilities 63,331,833 15 IPP & CHP 17,727,743 17 Emissions Sulfur Dioxide (short tons) 102,406 12 Nitrogen Oxide (short tons) 72,995 11 Carbon Dioxide (thousand metric tons) 73,606 9 Sulfur Dioxide (lbs/MWh) 2.5 14

  8. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Wisconsin Electricity Profile 2014 Table 1. 2014 Summary statistics (Wisconsin) Item Value Rank Primary Energy Source Coal Net summer capacity (megawatts) 17,166 23 Electric utilities 14,377 18 IPP & CHP 2,788 32 Net generation (megawatthours) 61,064,796 25 Electric utilities 47,301,782 20 IPP & CHP 13,763,014 26 Emissions Sulfur Dioxide (short tons) 81,239 17 Nitrogen Oxide (short tons) 39,597 27 Carbon Dioxide (thousand metric tons) 43,750 19 Sulfur Dioxide (lbs/MWh) 2.7 12 Nitrogen

  9. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Wyoming Electricity Profile 2014 Table 1. 2014 Summary statistics (Wyoming) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,458 37 Electric utilities 7,233 32 IPP & CHP 1,225 43 Net generation (megawatthours) 49,696,183 32 Electric utilities 45,068,982 23 IPP & CHP 4,627,201 41 Emissions Sulfur Dioxide (short tons) 45,704 24 Nitrogen Oxide (short tons) 49,638 18 Carbon Dioxide (thousand metric tons) 47,337 17 Sulfur Dioxide (lbs/MWh) 1.8 22 Nitrogen Oxide

  10. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the

  11. Profile Interface Generator

    Energy Science and Technology Software Center (OSTI)

    2013-11-09

    The Profile Interface Generator (PIG) is a tool for loosely coupling applications and performance tools. It enables applications to write code that looks like standard C and Fortran functions calls, without requiring that applications link to specific implementations of those function calls. Performance tools can register with PIG in order to listen to only the calls that give information they care about. This interface reduces the build and configuration burden on application developers and allowsmore » semantic instrumentation to live in production codes without interfering with production runs.« less

  12. Compare Gene Profiles

    Energy Science and Technology Software Center (OSTI)

    2014-05-31

    Compare Gene Profiles (CGP) performs pairwise gene content comparisons among a relatively large set of related bacterial genomes. CGP performs pairwise BLAST among gene calls from a set of input genome and associated annotation files, and combines the results to generate lists of common genes, unique genes, homologs, and genes from each genome that differ substantially in length from corresponding genes in the other genomes. CGP is implemented in Python and runs in a Linuxmore » environment in serial or parallel mode.« less

  13. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arizona Electricity Profile 2014 Table 1. 2014 Summary statistics (Arizona) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 28,249 13 Electric utilities 21,311 11 IPP & CHP 6,938 17 Net generation (megawatthours) 112,257,187 13 Electric utilities 94,847,135 8 IPP & CHP 17,410,053 19 Emissions Sulfur dioxide (short tons) 22,597 32 Nitrogen oxide (short tons) 56,726 17 Carbon dioxide (thousand metric tons) 53,684 16 Sulfur dioxide (lbs/MWh) 0.4 41 Nitrogen oxide

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    California Electricity Profile 2014 Table 1. 2014 Summary statistics (California) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 74,646 2 Electric utilities 28,201 4 IPP & CHP 46,446 2 Net generation (megawatthours) 198,807,622 5 Electric utilities 71,037,135 14 IPP & CHP 127,770,487 4 Emissions Sulfur dioxide (short tons) 3,102 46 Nitrogen oxide (short tons) 98,348 5 Carbon dioxide (thousand metric tons) 57,223 14 Sulfur dioxide (lbs/MWh) 0.0 49

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Colorado Electricity Profile 2014 Table 1. 2014 Summary statistics (Colorado) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,933 29 Electric utilities 10,204 28 IPP & CHP 4,729 18 Net generation (megawatthours) 53,847,386 30 Electric utilities 43,239,615 26 IPP & CHP 10,607,771 30 Emissions Sulfur dioxide (short tons) 28,453 30 Nitrogen oxide (short tons) 44,349 24 Carbon dioxide (thousand metric tons) 38,474 22 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Connecticut Electricity Profile 2014 Table 1. 2014 Summary statistics (Connecticut) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 8,832 35 Electric utilities 161 45 IPP & CHP 8,671 12 Net generation (megawatthours) 33,676,980 38 Electric utilities 54,693 45 IPP & CHP 33,622,288 11 Emissions Sulfur dioxide (short tons) 1,897 47 Nitrogen oxide (short tons) 8,910 45 Carbon dioxide (thousand metric tons) 7,959 41 Sulfur dioxide (lbs/MWh) 0.1 46 Nitrogen oxide

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Delaware Electricity Profile 2014 Table 1. 2014 Summary statistics (Delaware) Item Value U.S. rank Primary energy source Natural gas Net summer capacity (megawatts) 3,086 46 Electric utilities 102 46 IPP & CHP 2,984 31 Net generation (megawatthours) 7,703,584 47 Electric utilities 49,050 46 IPP & CHP 7,654,534 35 Emissions Sulfur dioxide (short tons) 824 48 Nitrogen oxide (short tons) 2,836 48 Carbon dioxide (thousand metric tons) 4,276 43 Sulfur dioxide (lbs/MWh) 0.2 45 Nitrogen oxide

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    District of Columbia Electricity Profile 2014 Table 1. 2014 Summary statistics (District of Columbia) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 9 51 Electric utilities IPP & CHP 9 51 Net generation (megawatthours) 67,612 51 Electric utilities IPP & CHP 67,612 51 Emissions Sulfur dioxide (short tons) 0 51 Nitrogen oxide (short tons) 147 51 Carbon dioxide (thousand metric tons) 48 50 Sulfur dioxide (lbs/MWh) 0.0 51 Nitrogen oxide (lbs/MWh) 4.3 3

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Florida Electricity Profile 2014 Table 1. 2014 Summary statistics (Florida) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 59,440 3 Electric utilities 51,775 1 IPP & CHP 7,665 15 Net generation (megawatthours) 230,015,937 2 Electric utilities 211,970,587 1 IPP & CHP 18,045,350 15 Emissions Sulfur dioxide (short tons) 126,600 10 Nitrogen oxide (short tons) 91,356 6 Carbon dioxide (thousand metric tons) 111,549 2 Sulfur dioxide (lbs/MWh) 1.1 30 Nitrogen

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Georgia Electricity Profile 2014 Table 1. 2014 Summary statistics (Georgia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 38,250 7 Electric utilities 28,873 3 IPP & CHP 9,377 10 Net generation (megawatthours) 125,837,224 10 Electric utilities 109,523,336 4 IPP & CHP 16,313,888 20 Emissions Sulfur dioxide (short tons) 105,998 11 Nitrogen oxide (short tons) 58,144 14 Carbon dioxide (thousand metric tons) 62,516 12 Sulfur dioxide (lbs/MWh) 1.7 24 Nitrogen oxide

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hawaii Electricity Profile 2014 Table 1. 2014 Summary statistics (Hawaii) Item Value Rank Primary energy source Petroleum Net summer capacity (megawatts) 2,672 47 Electric utilities 1,732 40 IPP & CHP 939 45 Net generation (megawatthours) 10,204,158 46 Electric utilities 5,517,389 39 IPP & CHP 4,686,769 40 Emissions Sulfur dioxide (short tons) 21,670 33 Nitrogen oxide (short tons) 26,928 31 Carbon dioxide (thousand metric tons) 7,313 42 Sulfur dioxide (lbs/MWh) 4.2 4 Nitrogen oxide

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Illinois Electricity Profile 2014 Table 1. 2014 Summary statistics (Illinois) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 44,727 4 Electric utilities 5,263 35 IPP & CHP 39,464 4 Net generation (megawatthours) 202,143,878 4 Electric utilities 10,457,398 36 IPP & CHP 191,686,480 3 Emissions Sulfur dioxide (short tons) 187,536 6 Nitrogen oxide (short tons) 58,076 15 Carbon dioxide (thousand metric tons) 96,624 6 Sulfur dioxide (lbs/MWh) 1.9 20 Nitrogen

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Indiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Indiana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 27,499 14 Electric utilities 23,319 7 IPP & CHP 4,180 23 Net generation (megawatthours) 115,395,392 12 Electric utilities 100,983,285 6 IPP & CHP 14,412,107 22 Emissions Sulfur dioxide (short tons) 332,396 3 Nitrogen oxide (short tons) 133,412 3 Carbon dioxide (thousand metric tons) 103,391 3 Sulfur dioxide (lbs/MWh) 5.8 1 Nitrogen oxide

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Iowa Electricity Profile 2014 Table 1. 2014 Summary statistics (Iowa) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,507 24 Electric utilities 12,655 20 IPP & CHP 3,852 25 Net generation (megawatthours) 56,853,282 28 Electric utilities 43,021,954 27 IPP & CHP 13,831,328 25 Emissions Sulfur dioxide (short tons) 74,422 19 Nitrogen oxide (short tons) 41,793 25 Carbon dioxide (thousand metric tons) 39,312 21 Sulfur dioxide (lbs/MWh) 2.6 13 Nitrogen oxide

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Kansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,227 31 Electric utilities 11,468 24 IPP & CHP 2,759 33 Net generation (megawatthours) 49,728,363 31 Electric utilities 39,669,629 29 IPP & CHP 10,058,734 31 Emissions Sulfur dioxide (short tons) 31,550 29 Nitrogen oxide (short tons) 29,014 29 Carbon dioxide (thousand metric tons) 31,794 29 Sulfur dioxide (lbs/MWh) 1.3 29 Nitrogen oxide

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kentucky Electricity Profile 2014 Table 1. 2014 Summary statistics (Kentucky) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,878 21 Electric utilities 19,473 15 IPP & CHP 1,405 40 Net generation (megawatthours) 90,896,435 17 Electric utilities 90,133,403 10 IPP & CHP 763,032 49 Emissions Sulfur dioxide (short tons) 204,873 5 Nitrogen oxide (short tons) 89,253 7 Carbon dioxide (thousand metric tons) 85,795 7 Sulfur dioxide (lbs/MWh) 4.5 3 Nitrogen oxide

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Louisiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Louisiana) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 26,657 15 Electric utilities 18,120 16 IPP & CHP 8,537 13 Net generation (megawatthours) 104,229,402 15 Electric utilities 58,518,271 17 IPP & CHP 45,711,131 8 Emissions Sulfur dioxide (short tons) 96,240 14 Nitrogen oxide (short tons) 83,112 8 Carbon dioxide (thousand metric tons) 57,137 15 Sulfur dioxide (lbs/MWh) 1.8 21

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maine Electricity Profile 2014 Table 1. 2014 Summary statistics (Maine) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 4,470 43 Electric utilities 10 49 IPP & CHP 4,460 20 Net generation (megawatthours) 13,248,710 44 Electric utilities 523 49 IPP & CHP 13,248,187 27 Emissions Sulfur dioxide (short tons) 10,990 38 Nitrogen oxide (short tons) 8,622 46 Carbon dioxide (thousand metric tons) 3,298 46 Sulfur dioxide (lbs/MWh) 1.7 25 Nitrogen oxide (lbs/MWh)

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maryland Electricity Profile 2014 Table 1. 2014 Summary statistics (Maryland) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 12,264 33 Electric utilities 85 47 IPP & CHP 12,179 8 Net generation (megawatthours) 37,833,652 35 Electric utilities 20,260 47 IPP & CHP 37,813,392 9 Emissions Sulfur dioxide (short tons) 41,370 26 Nitrogen oxide (short tons) 20,626 35 Carbon dioxide (thousand metric tons) 20,414 34 Sulfur dioxide (lbs/MWh) 2.2 18 Nitrogen oxide

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Massachusetts Electricity Profile 2014 Table 1. 2014 Summary statistics (Massachusetts) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 13,128 32 Electric utilities 971 42 IPP & CHP 12,157 9 Net generation (megawatthours) 31,118,591 40 Electric utilities 679,986 43 IPP & CHP 30,438,606 12 Emissions Sulfur dioxide (short tons) 6,748 41 Nitrogen oxide (short tons) 13,831 43 Carbon dioxide (thousand metric tons) 12,231 39 Sulfur dioxide (lbs/MWh) 0.4 40

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Michigan Electricity Profile 2014 Table 1. 2014 Summary statistics (Michigan) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,435 12 Electric utilities 22,260 9 IPP & CHP 8,175 14 Net generation (megawatthours) 106,816,991 14 Electric utilities 84,075,322 12 IPP & CHP 22,741,669 13 Emissions Sulfur dioxide (short tons) 173,521 7 Nitrogen oxide (short tons) 77,950 9 Carbon dioxide (thousand metric tons) 64,062 11 Sulfur dioxide (lbs/MWh) 3.2 7 Nitrogen oxide

  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Minnesota Electricity Profile 2014 Table 1. 2014 Summary statistics (Minnesota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 15,621 28 Electric utilities 11,557 22 IPP & CHP 4,064 24 Net generation (megawatthours) 56,998,330 27 Electric utilities 45,963,271 22 IPP & CHP 11,035,059 29 Emissions Sulfur dioxide (short tons) 39,272 27 Nitrogen oxide (short tons) 38,373 28 Carbon dioxide (thousand metric tons) 32,399 28 Sulfur dioxide (lbs/MWh) 1.4 27 Nitrogen

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mississippi Electricity Profile 2014 Table 1. 2014 Summary statistics (Mississippi) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 16,090 26 Electric utilities 13,494 19 IPP & CHP 2,597 34 Net generation (megawatthours) 55,127,092 29 Electric utilities 47,084,382 21 IPP & CHP 8,042,710 34 Emissions Sulfur dioxide (short tons) 101,093 13 Nitrogen oxide (short tons) 23,993 32 Carbon dioxide (thousand metric tons) 24,037 33 Sulfur dioxide (lbs/MWh) 3.7 5

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Missouri Electricity Profile 2014 Table 1. 2014 Summary statistics (Missouri) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,790 19 Electric utilities 20,538 13 IPP & CHP 1,252 42 Net generation (megawatthours) 87,834,468 18 Electric utilities 85,271,253 11 IPP & CHP 2,563,215 46 Emissions Sulfur dioxide (short tons) 149,842 9 Nitrogen oxide (short tons) 77,749 10 Carbon dioxide (thousand metric tons) 75,735 8 Sulfur dioxide (lbs/MWh) 3.4 6 Nitrogen oxide

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Montana Electricity Profile 2014 Table 1. 2014 Summary statistics (Montana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,330 41 Electric utilities 3,209 38 IPP & CHP 3,121 30 Net generation (megawatthours) 30,257,616 41 Electric utilities 12,329,411 35 IPP & CHP 17,928,205 16 Emissions Sulfur dioxide (short tons) 14,426 34 Nitrogen oxide (short tons) 20,538 36 Carbon dioxide (thousand metric tons) 17,678 36 Sulfur dioxide (lbs/MWh) 1.0 34 Nitrogen oxide

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nebraska Electricity Profile 2014 Table 1. 2014 Summary statistics (Nebraska) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,732 36 Electric utilities 7,913 30 IPP & CHP 819 46 Net generation (megawatthours) 39,431,291 34 Electric utilities 36,560,960 30 IPP & CHP 2,870,331 45 Emissions Sulfur dioxide (short tons) 63,994 22 Nitrogen oxide (short tons) 27,045 30 Carbon dioxide (thousand metric tons) 26,348 31 Sulfur dioxide (lbs/MWh) 3.2 8 Nitrogen oxide

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nevada Electricity Profile 2014 Table 1. 2014 Summary statistics (Nevada) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 10,485 34 Electric utilities 8,480 29 IPP & CHP 2,006 35 Net generation (megawatthours) 36,000,537 37 Electric utilities 27,758,728 33 IPP & CHP 8,241,809 33 Emissions Sulfur dioxide (short tons) 10,229 40 Nitrogen oxide (short tons) 18,606 39 Carbon dioxide (thousand metric tons) 16,222 37 Sulfur dioxide (lbs/MWh) 0.4 38 Nitrogen

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hampshire Electricity Profile 2013 Table 1. 2013 Summary statistics (New Hampshire) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 4,413 44 Electric utilities 1,121 41 IPP & CHP 3,292 30 Net generation (megawatthours) 19,778,520 42 Electric utilities 2,266,903 41 IPP & CHP 17,511,617 20 Emissions Sulfur dioxide (short tons) 3,733 44 Nitrogen oxide (short tons) 5,057 47 Carbon dioxide (thousand metric tons) 3,447 46 Sulfur dioxide (lbs/MWh) 0.4 45 Nitrogen

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Jersey Electricity Profile 2014 Table 1. 2014 Summary statistics (New Jersey) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 19,399 22 Electric utilities 544 43 IPP & CHP 18,852 7 Net generation (megawatthours) 68,051,086 23 Electric utilities -117,003 50 IPP & CHP 68,168,089 7 Emissions Sulfur dioxide (short tons) 3,369 44 Nitrogen oxide (short tons) 15,615 41 Carbon dioxide (thousand metric tons) 17,905 35 Sulfur dioxide (lbs/MWh) 0.1 47 Nitrogen oxide

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mexico Electricity Profile 2014 Table 1. 2014 Summary statistics (New Mexico) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 8,072 39 Electric utilities 6,094 33 IPP & CHP 1,978 37 Net generation (megawatthours) 32,306,210 39 Electric utilities 26,422,867 34 IPP & CHP 5,883,343 38 Emissions Sulfur dioxide (short tons) 12,064 37 Nitrogen oxide (short tons) 46,192 22 Carbon dioxide (thousand metric tons) 24,712 32 Sulfur dioxide (lbs/MWh) 0.7 37 Nitrogen

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    York Electricity Profile 2014 Table 1. 2014 Summary statistics (New York) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 40,404 6 Electric utilities 10,989 27 IPP & CHP 29,416 5 Net generation (megawatthours) 137,122,202 7 Electric utilities 34,082 31 IPP & CHP 103,039,347 5 Emissions Sulfur dioxide (short tons) 31,878 28 Nitrogen oxide (short tons) 46,971 21 Carbon dioxide (thousand metric tons) 33,240 26 Sulfur dioxide (lbs/MWh) 0.5 39 Nitrogen oxide

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (North Carolina) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,048 12 Electric utilities 26,706 6 IPP & CHP 3,342 29 Net generation (megawatthours) 125,936,293 9 Electric utilities 116,317,050 2 IPP & CHP 9,619,243 31 Emissions Sulfur dioxide (short tons) 71,293 20 Nitrogen oxide (short tons) 62,397 12 Carbon dioxide (thousand metric tons) 56,940 14 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (North Dakota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,566 40 Electric utilities 5,292 34 IPP & CHP 1,274 41 Net generation (megawatthours) 35,021,673 39 Electric utilities 31,044,374 32 IPP & CHP 3,977,299 42 Emissions Sulfur dioxide (short tons) 56,854 23 Nitrogen oxide (short tons) 48,454 22 Carbon dioxide (thousand metric tons) 30,274 28 Sulfur dioxide (lbs/MWh) 3.2 11 Nitrogen oxide

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Ohio Electricity Profile 2014 Table 1. 2014 Summary statistics (Ohio) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 31,507 9 Electric utilities 11,134 26 IPP & CHP 20,372 6 Net generation (megawatthours) 134,476,405 8 Electric utilities 43,290,512 25 IPP & CHP 91,185,893 7 Emissions Sulfur dioxide (short tons) 355,108 1 Nitrogen oxide (short tons) 105,688 4 Carbon dioxide (thousand metrictons) 98,650 5 Sulfur dioxide (lbs/MWh) 5.3 2 Nitrogen oxide (lbs/MWh)

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oklahoma Electricity Profile 2014 Table 1. 2014 Summary statistics (Oklahoma) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 24,048 17 Electric utilities 17,045 17 IPP & CHP 7,003 16 Net generation (megawatthours) 70,155,504 22 Electric utilities 48,096,026 19 IPP & CHP 22,059,478 14 Emissions Sulfur dioxide 78,556 18 Nitrogen oxide 44,874 23 Carbon dioxide (thousand metric tons) 43,994 18 Sulfur dioxide (lbs/MWh) 2.2 17 Nitrogen oxide (lbs/MWh) 1.3 26

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Pennsylvania Electricity Profile 2014 Table 1. 2014 Summary statistics (Pennsylvania) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 42,723 5 Electric utilities 39 48 IPP & CHP 42,685 3 Net generation (megawatthours) 221,058,365 3 Electric utilities 90,994 44 IPP & CHP 220,967,371 2 Emissions Sulfur dioxide (short tons) 297,598 4 Nitrogen oxide (short tons) 141,486 2 Carbon dioxide (thousand metric tons) 101,361 4 Sulfur dioxide (lbs/MWh) 2.7 11 Nitrogen oxide

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Rhode Island Electricity Profile 2014 Table 1. 2014 Summary statistics (Rhode Island) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 1,810 49 Electric utilities 8 50 IPP & CHP 1,803 38 Net generation (megawatthours) 6,281,748 49 Electric utilities 10,670 48 IPP & CHP 6,271,078 36 Emissions Sulfur dioxide (short tons) 100 49 Nitrogen oxide (short tons) 1,224 49 Carbon dioxide (thousand metric tons) 2,566 48 Sulfur dioxide (lbs/MWh) 0.0 48 Nitrogen oxide

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Electricity Profile 2014 Table 1. 2014 Summary statistics (South Carolina) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 22,824 18 Electric utilities 20,836 12 IPP & CHP 1,988 36 Net generation (megawatthours) 97,158,465 16 Electric utilities 93,547,004 9 IPP & CHP 3,611,461 43 Emissions Sulfur dioxide (short tons) 43,659 25 Nitrogen oxide (short tons) 21,592 34 Carbon dioxide (thousand metric tons) 33,083 27 Sulfur dioxide (lbs/MWh) 0.9 35

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Tennessee Electricity Profile 2014 Table 1. 2014 Summary statistics (Tennessee) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,998 20 Electric utilities 20,490 14 IPP & CHP 508 47 Net generation (megawatthours) 79,506,886 20 Electric utilities 76,986,629 13 IPP & CHP 2,520,257 47 Emissions Sulfur dioxide (short tons) 89,357 16 Nitrogen oxide (short tons) 23,913 33 Carbon dioxide (thousand metric tons) 41,405 20 Sulfur dioxide (lbs/MWh) 2.2 16 Nitrogen oxide

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Texas Electricity Profile 2014 Table 1. 2014 Summary statistics (Texas) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 112,914 1 Electric utilities 29,113 2 IPP & CHP 83,800 1 Net generation (megawatthours) 437,629,668 1 Electric utilities 94,974,953 7 IPP & CHP 342,654,715 1 Emissions Sulfur Dioxide (short tons) 349,245 2 Nitrogen Oxide short tons) 229,580 1 Carbon Dioxide (thousand metric tons) 254,488 1 Sulfur Dioxide (lbs/MWh) 1.6 26 Nitrogen Oxide

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    United States Electricity Profile 2014 Table 1. 2014 Summary statistics (United States) Item Value Primary energy source Coal Net summer capacity (megawatts) 1,068,422 Electric utilities 616,632 IPP & CHP 451,791 Net generation (megawatthours) 4,093,606,005 Electric utilities 2,382,473,495 IPP & CHP 1,711,132,510 Emissions Sulfur Dioxide (short tons) 3,842,005 Nitrogen Oxide (short tons) 2,400,375 Carbon Dioxide (thousand metric tons) 2,160,342 Sulfur Dioxide (lbs/MWh) 1.9 Nitrogen Oxide

  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Vermont Electricity Profile 2014 Table 1. 2014 Summary statistics (Vermont) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 650 50 Electric utilities 337 44 IPP & CHP 313 49 Net generation (megawatthours) 7,031,394 48 Electric utilities 868,079 42 IPP & CHP 6,163,315 37 Emissions Sulfur Dioxide (short tons) 71 50 Nitrogen Oxide (short tons) 737 50 Carbon Dioxide (thousand metric tons) 14 51 Sulfur Dioxide (lbs/MWh) 0.0 50 Nitrogen Oxide (lbs/MWh) 0.2 51

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (Virginia) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 26,292 16 Electric utilities 22,062 10 IPP & CHP 4,231 22 Net generation (megawatthours) 77,137,438 21 Electric utilities 62,966,914 16 IPP & CHP 14,170,524 23 Emissions Sulfur Dioxide (short tons) 68,550 20 Nitrogen Oxide (short tons) 40,656 26 Carbon Dioxide (thousand metric tons) 33,295 25 Sulfur Dioxide (lbs/MWh) 1.8 23 Nitrogen

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    West Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (West Virginia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,276 25 Electric utilities 11,981 21 IPP & CHP 4,295 21 Net generation (megawatthours) 81,059,577 19 Electric utilities 63,331,833 15 IPP & CHP 17,727,743 17 Emissions Sulfur Dioxide (short tons) 102,406 12 Nitrogen Oxide (short tons) 72,995 11 Carbon Dioxide (thousand metric tons) 73,606 9 Sulfur Dioxide (lbs/MWh) 2.5 14

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wisconsin Electricity Profile 2014 Table 1. 2014 Summary statistics (Wisconsin) Item Value Rank Primary Energy Source Coal Net summer capacity (megawatts) 17,166 23 Electric utilities 14,377 18 IPP & CHP 2,788 32 Net generation (megawatthours) 61,064,796 25 Electric utilities 47,301,782 20 IPP & CHP 13,763,014 26 Emissions Sulfur Dioxide (short tons) 81,239 17 Nitrogen Oxide (short tons) 39,597 27 Carbon Dioxide (thousand metric tons) 43,750 19 Sulfur Dioxide (lbs/MWh) 2.7 12 Nitrogen

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wyoming Electricity Profile 2014 Table 1. 2014 Summary statistics (Wyoming) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,458 37 Electric utilities 7,233 32 IPP & CHP 1,225 43 Net generation (megawatthours) 49,696,183 32 Electric utilities 45,068,982 23 IPP & CHP 4,627,201 41 Emissions Sulfur Dioxide (short tons) 45,704 24 Nitrogen Oxide (short tons) 49,638 18 Carbon Dioxide (thousand metric tons) 47,337 17 Sulfur Dioxide (lbs/MWh) 1.8 22 Nitrogen Oxide

  18. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Alaska Electricity Profile 2014 Table 1. 2014 Summary statistics (Alaska) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 2,464 48 Electric utilities 2,313 39 IPP & CHP 151 50 Net generation (megawatthours) 6,042,830 50 Electric utilities 5,509,991 40 IPP & CHP 532,839 50 Emissions Sulfur dioxide (short tons) 4,129 43 Nitrogen oxide (short tons) 19,281 38 Carbon dioxide (thousand metric tons) 3,558 44 Sulfur dioxide (lbs/MWh) 1.4 28 Nitrogen oxide

  19. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Arizona Electricity Profile 2014 Table 1. 2014 Summary statistics (Arizona) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 28,249 13 Electric utilities 21,311 11 IPP & CHP 6,938 17 Net generation (megawatthours) 112,257,187 13 Electric utilities 94,847,135 8 IPP & CHP 17,410,053 19 Emissions Sulfur dioxide (short tons) 22,597 32 Nitrogen oxide (short tons) 56,726 17 Carbon dioxide (thousand metric tons) 53,684 16 Sulfur dioxide (lbs/MWh) 0.4 41 Nitrogen oxide

  20. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    California Electricity Profile 2014 Table 1. 2014 Summary statistics (California) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 74,646 2 Electric utilities 28,201 4 IPP & CHP 46,446 2 Net generation (megawatthours) 198,807,622 5 Electric utilities 71,037,135 14 IPP & CHP 127,770,487 4 Emissions Sulfur dioxide (short tons) 3,102 46 Nitrogen oxide (short tons) 98,348 5 Carbon dioxide (thousand metric tons) 57,223 14 Sulfur dioxide (lbs/MWh) 0.0 49

  1. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Colorado Electricity Profile 2014 Table 1. 2014 Summary statistics (Colorado) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,933 29 Electric utilities 10,204 28 IPP & CHP 4,729 18 Net generation (megawatthours) 53,847,386 30 Electric utilities 43,239,615 26 IPP & CHP 10,607,771 30 Emissions Sulfur dioxide (short tons) 28,453 30 Nitrogen oxide (short tons) 44,349 24 Carbon dioxide (thousand metric tons) 38,474 22 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  2. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut Electricity Profile 2014 Table 1. 2014 Summary statistics (Connecticut) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 8,832 35 Electric utilities 161 45 IPP & CHP 8,671 12 Net generation (megawatthours) 33,676,980 38 Electric utilities 54,693 45 IPP & CHP 33,622,288 11 Emissions Sulfur dioxide (short tons) 1,897 47 Nitrogen oxide (short tons) 8,910 45 Carbon dioxide (thousand metric tons) 7,959 41 Sulfur dioxide (lbs/MWh) 0.1 46 Nitrogen oxide

  3. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Delaware Electricity Profile 2014 Table 1. 2014 Summary statistics (Delaware) Item Value U.S. rank Primary energy source Natural gas Net summer capacity (megawatts) 3,086 46 Electric utilities 102 46 IPP & CHP 2,984 31 Net generation (megawatthours) 7,703,584 47 Electric utilities 49,050 46 IPP & CHP 7,654,534 35 Emissions Sulfur dioxide (short tons) 824 48 Nitrogen oxide (short tons) 2,836 48 Carbon dioxide (thousand metric tons) 4,276 43 Sulfur dioxide (lbs/MWh) 0.2 45 Nitrogen oxide

  4. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    District of Columbia Electricity Profile 2014 Table 1. 2014 Summary statistics (District of Columbia) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 9 51 Electric utilities IPP & CHP 9 51 Net generation (megawatthours) 67,612 51 Electric utilities IPP & CHP 67,612 51 Emissions Sulfur dioxide (short tons) 0 51 Nitrogen oxide (short tons) 147 51 Carbon dioxide (thousand metric tons) 48 50 Sulfur dioxide (lbs/MWh) 0.0 51 Nitrogen oxide (lbs/MWh) 4.3 3

  5. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Florida Electricity Profile 2014 Table 1. 2014 Summary statistics (Florida) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 59,440 3 Electric utilities 51,775 1 IPP & CHP 7,665 15 Net generation (megawatthours) 230,015,937 2 Electric utilities 211,970,587 1 IPP & CHP 18,045,350 15 Emissions Sulfur dioxide (short tons) 126,600 10 Nitrogen oxide (short tons) 91,356 6 Carbon dioxide (thousand metric tons) 111,549 2 Sulfur dioxide (lbs/MWh) 1.1 30 Nitrogen

  6. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Georgia Electricity Profile 2014 Table 1. 2014 Summary statistics (Georgia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 38,250 7 Electric utilities 28,873 3 IPP & CHP 9,377 10 Net generation (megawatthours) 125,837,224 10 Electric utilities 109,523,336 4 IPP & CHP 16,313,888 20 Emissions Sulfur dioxide (short tons) 105,998 11 Nitrogen oxide (short tons) 58,144 14 Carbon dioxide (thousand metric tons) 62,516 12 Sulfur dioxide (lbs/MWh) 1.7 24 Nitrogen oxide

  7. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Hawaii Electricity Profile 2014 Table 1. 2014 Summary statistics (Hawaii) Item Value Rank Primary energy source Petroleum Net summer capacity (megawatts) 2,672 47 Electric utilities 1,732 40 IPP & CHP 939 45 Net generation (megawatthours) 10,204,158 46 Electric utilities 5,517,389 39 IPP & CHP 4,686,769 40 Emissions Sulfur dioxide (short tons) 21,670 33 Nitrogen oxide (short tons) 26,928 31 Carbon dioxide (thousand metric tons) 7,313 42 Sulfur dioxide (lbs/MWh) 4.2 4 Nitrogen oxide

  8. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Idaho Electricity Profile 2014 Table 1. 2014 Summary statistics (Idaho) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 4,944 42 Electric utilities 3,413 37 IPP & CHP 1,531 39 Net generation (megawatthours) 15,184,417 43 Electric utilities 9,628,016 37 IPP & CHP 5,556,400 39 Emissions Sulfur dioxide (short tons) 5,777 42 Nitrogen oxide (short tons) 20,301 37 Carbon dioxide (thousand metric tons) 1,492 49 Sulfur dioxide (lbs/MWh) 0.8 36 Nitrogen oxide

  9. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Illinois Electricity Profile 2014 Table 1. 2014 Summary statistics (Illinois) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 44,727 4 Electric utilities 5,263 35 IPP & CHP 39,464 4 Net generation (megawatthours) 202,143,878 4 Electric utilities 10,457,398 36 IPP & CHP 191,686,480 3 Emissions Sulfur dioxide (short tons) 187,536 6 Nitrogen oxide (short tons) 58,076 15 Carbon dioxide (thousand metric tons) 96,624 6 Sulfur dioxide (lbs/MWh) 1.9 20 Nitrogen

  10. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Indiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Indiana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 27,499 14 Electric utilities 23,319 7 IPP & CHP 4,180 23 Net generation (megawatthours) 115,395,392 12 Electric utilities 100,983,285 6 IPP & CHP 14,412,107 22 Emissions Sulfur dioxide (short tons) 332,396 3 Nitrogen oxide (short tons) 133,412 3 Carbon dioxide (thousand metric tons) 103,391 3 Sulfur dioxide (lbs/MWh) 5.8 1 Nitrogen oxide

  11. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Iowa Electricity Profile 2014 Table 1. 2014 Summary statistics (Iowa) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,507 24 Electric utilities 12,655 20 IPP & CHP 3,852 25 Net generation (megawatthours) 56,853,282 28 Electric utilities 43,021,954 27 IPP & CHP 13,831,328 25 Emissions Sulfur dioxide (short tons) 74,422 19 Nitrogen oxide (short tons) 41,793 25 Carbon dioxide (thousand metric tons) 39,312 21 Sulfur dioxide (lbs/MWh) 2.6 13 Nitrogen oxide

  12. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Kansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Kansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,227 31 Electric utilities 11,468 24 IPP & CHP 2,759 33 Net generation (megawatthours) 49,728,363 31 Electric utilities 39,669,629 29 IPP & CHP 10,058,734 31 Emissions Sulfur dioxide (short tons) 31,550 29 Nitrogen oxide (short tons) 29,014 29 Carbon dioxide (thousand metric tons) 31,794 29 Sulfur dioxide (lbs/MWh) 1.3 29 Nitrogen oxide

  13. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Kentucky Electricity Profile 2014 Table 1. 2014 Summary statistics (Kentucky) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,878 21 Electric utilities 19,473 15 IPP & CHP 1,405 40 Net generation (megawatthours) 90,896,435 17 Electric utilities 90,133,403 10 IPP & CHP 763,032 49 Emissions Sulfur dioxide (short tons) 204,873 5 Nitrogen oxide (short tons) 89,253 7 Carbon dioxide (thousand metric tons) 85,795 7 Sulfur dioxide (lbs/MWh) 4.5 3 Nitrogen oxide

  14. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Louisiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Louisiana) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 26,657 15 Electric utilities 18,120 16 IPP & CHP 8,537 13 Net generation (megawatthours) 104,229,402 15 Electric utilities 58,518,271 17 IPP & CHP 45,711,131 8 Emissions Sulfur dioxide (short tons) 96,240 14 Nitrogen oxide (short tons) 83,112 8 Carbon dioxide (thousand metric tons) 57,137 15 Sulfur dioxide (lbs/MWh) 1.8 21

  15. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Maine Electricity Profile 2014 Table 1. 2014 Summary statistics (Maine) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 4,470 43 Electric utilities 10 49 IPP & CHP 4,460 20 Net generation (megawatthours) 13,248,710 44 Electric utilities 523 49 IPP & CHP 13,248,187 27 Emissions Sulfur dioxide (short tons) 10,990 38 Nitrogen oxide (short tons) 8,622 46 Carbon dioxide (thousand metric tons) 3,298 46 Sulfur dioxide (lbs/MWh) 1.7 25 Nitrogen oxide (lbs/MWh)

  16. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Maryland Electricity Profile 2014 Table 1. 2014 Summary statistics (Maryland) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 12,264 33 Electric utilities 85 47 IPP & CHP 12,179 8 Net generation (megawatthours) 37,833,652 35 Electric utilities 20,260 47 IPP & CHP 37,813,392 9 Emissions Sulfur dioxide (short tons) 41,370 26 Nitrogen oxide (short tons) 20,626 35 Carbon dioxide (thousand metric tons) 20,414 34 Sulfur dioxide (lbs/MWh) 2.2 18 Nitrogen oxide

  17. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Massachusetts Electricity Profile 2014 Table 1. 2014 Summary statistics (Massachusetts) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 13,128 32 Electric utilities 971 42 IPP & CHP 12,157 9 Net generation (megawatthours) 31,118,591 40 Electric utilities 679,986 43 IPP & CHP 30,438,606 12 Emissions Sulfur dioxide (short tons) 6,748 41 Nitrogen oxide (short tons) 13,831 43 Carbon dioxide (thousand metric tons) 12,231 39 Sulfur dioxide (lbs/MWh) 0.4 40

  18. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Michigan Electricity Profile 2014 Table 1. 2014 Summary statistics (Michigan) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,435 12 Electric utilities 22,260 9 IPP & CHP 8,175 14 Net generation (megawatthours) 106,816,991 14 Electric utilities 84,075,322 12 IPP & CHP 22,741,669 13 Emissions Sulfur dioxide (short tons) 173,521 7 Nitrogen oxide (short tons) 77,950 9 Carbon dioxide (thousand metric tons) 64,062 11 Sulfur dioxide (lbs/MWh) 3.2 7 Nitrogen oxide

  19. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Minnesota Electricity Profile 2014 Table 1. 2014 Summary statistics (Minnesota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 15,621 28 Electric utilities 11,557 22 IPP & CHP 4,064 24 Net generation (megawatthours) 56,998,330 27 Electric utilities 45,963,271 22 IPP & CHP 11,035,059 29 Emissions Sulfur dioxide (short tons) 39,272 27 Nitrogen oxide (short tons) 38,373 28 Carbon dioxide (thousand metric tons) 32,399 28 Sulfur dioxide (lbs/MWh) 1.4 27 Nitrogen

  20. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Mississippi Electricity Profile 2014 Table 1. 2014 Summary statistics (Mississippi) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 16,090 26 Electric utilities 13,494 19 IPP & CHP 2,597 34 Net generation (megawatthours) 55,127,092 29 Electric utilities 47,084,382 21 IPP & CHP 8,042,710 34 Emissions Sulfur dioxide (short tons) 101,093 13 Nitrogen oxide (short tons) 23,993 32 Carbon dioxide (thousand metric tons) 24,037 33 Sulfur dioxide (lbs/MWh) 3.7 5

  1. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Missouri Electricity Profile 2014 Table 1. 2014 Summary statistics (Missouri) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,790 19 Electric utilities 20,538 13 IPP & CHP 1,252 42 Net generation (megawatthours) 87,834,468 18 Electric utilities 85,271,253 11 IPP & CHP 2,563,215 46 Emissions Sulfur dioxide (short tons) 149,842 9 Nitrogen oxide (short tons) 77,749 10 Carbon dioxide (thousand metric tons) 75,735 8 Sulfur dioxide (lbs/MWh) 3.4 6 Nitrogen oxide

  2. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Montana Electricity Profile 2014 Table 1. 2014 Summary statistics (Montana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,330 41 Electric utilities 3,209 38 IPP & CHP 3,121 30 Net generation (megawatthours) 30,257,616 41 Electric utilities 12,329,411 35 IPP & CHP 17,928,205 16 Emissions Sulfur dioxide (short tons) 14,426 34 Nitrogen oxide (short tons) 20,538 36 Carbon dioxide (thousand metric tons) 17,678 36 Sulfur dioxide (lbs/MWh) 1.0 34 Nitrogen oxide

  3. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Nebraska Electricity Profile 2014 Table 1. 2014 Summary statistics (Nebraska) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,732 36 Electric utilities 7,913 30 IPP & CHP 819 46 Net generation (megawatthours) 39,431,291 34 Electric utilities 36,560,960 30 IPP & CHP 2,870,331 45 Emissions Sulfur dioxide (short tons) 63,994 22 Nitrogen oxide (short tons) 27,045 30 Carbon dioxide (thousand metric tons) 26,348 31 Sulfur dioxide (lbs/MWh) 3.2 8 Nitrogen oxide

  4. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Nevada Electricity Profile 2014 Table 1. 2014 Summary statistics (Nevada) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 10,485 34 Electric utilities 8,480 29 IPP & CHP 2,006 35 Net generation (megawatthours) 36,000,537 37 Electric utilities 27,758,728 33 IPP & CHP 8,241,809 33 Emissions Sulfur dioxide (short tons) 10,229 40 Nitrogen oxide (short tons) 18,606 39 Carbon dioxide (thousand metric tons) 16,222 37 Sulfur dioxide (lbs/MWh) 0.4 38 Nitrogen

  5. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Hampshire Electricity Profile 2013 Table 1. 2013 Summary statistics (New Hampshire) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 4,413 44 Electric utilities 1,121 41 IPP & CHP 3,292 30 Net generation (megawatthours) 19,778,520 42 Electric utilities 2,266,903 41 IPP & CHP 17,511,617 20 Emissions Sulfur dioxide (short tons) 3,733 44 Nitrogen oxide (short tons) 5,057 47 Carbon dioxide (thousand metric tons) 3,447 46 Sulfur dioxide (lbs/MWh) 0.4 45 Nitrogen

  6. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Jersey Electricity Profile 2014 Table 1. 2014 Summary statistics (New Jersey) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 19,399 22 Electric utilities 544 43 IPP & CHP 18,852 7 Net generation (megawatthours) 68,051,086 23 Electric utilities -117,003 50 IPP & CHP 68,168,089 7 Emissions Sulfur dioxide (short tons) 3,369 44 Nitrogen oxide (short tons) 15,615 41 Carbon dioxide (thousand metric tons) 17,905 35 Sulfur dioxide (lbs/MWh) 0.1 47 Nitrogen oxide

  7. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Mexico Electricity Profile 2014 Table 1. 2014 Summary statistics (New Mexico) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 8,072 39 Electric utilities 6,094 33 IPP & CHP 1,978 37 Net generation (megawatthours) 32,306,210 39 Electric utilities 26,422,867 34 IPP & CHP 5,883,343 38 Emissions Sulfur dioxide (short tons) 12,064 37 Nitrogen oxide (short tons) 46,192 22 Carbon dioxide (thousand metric tons) 24,712 32 Sulfur dioxide (lbs/MWh) 0.7 37 Nitrogen

  8. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    York Electricity Profile 2014 Table 1. 2014 Summary statistics (New York) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 40,404 6 Electric utilities 10,989 27 IPP & CHP 29,416 5 Net generation (megawatthours) 137,122,202 7 Electric utilities 34,082 31 IPP & CHP 103,039,347 5 Emissions Sulfur dioxide (short tons) 31,878 28 Nitrogen oxide (short tons) 46,971 21 Carbon dioxide (thousand metric tons) 33,240 26 Sulfur dioxide (lbs/MWh) 0.5 39 Nitrogen oxide

  9. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (North Carolina) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,048 12 Electric utilities 26,706 6 IPP & CHP 3,342 29 Net generation (megawatthours) 125,936,293 9 Electric utilities 116,317,050 2 IPP & CHP 9,619,243 31 Emissions Sulfur dioxide (short tons) 71,293 20 Nitrogen oxide (short tons) 62,397 12 Carbon dioxide (thousand metric tons) 56,940 14 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  10. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (North Dakota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,566 40 Electric utilities 5,292 34 IPP & CHP 1,274 41 Net generation (megawatthours) 35,021,673 39 Electric utilities 31,044,374 32 IPP & CHP 3,977,299 42 Emissions Sulfur dioxide (short tons) 56,854 23 Nitrogen oxide (short tons) 48,454 22 Carbon dioxide (thousand metric tons) 30,274 28 Sulfur dioxide (lbs/MWh) 3.2 11 Nitrogen oxide

  11. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Ohio Electricity Profile 2014 Table 1. 2014 Summary statistics (Ohio) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 31,507 9 Electric utilities 11,134 26 IPP & CHP 20,372 6 Net generation (megawatthours) 134,476,405 8 Electric utilities 43,290,512 25 IPP & CHP 91,185,893 7 Emissions Sulfur dioxide (short tons) 355,108 1 Nitrogen oxide (short tons) 105,688 4 Carbon dioxide (thousand metrictons) 98,650 5 Sulfur dioxide (lbs/MWh) 5.3 2 Nitrogen oxide (lbs/MWh)

  12. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Oklahoma Electricity Profile 2014 Table 1. 2014 Summary statistics (Oklahoma) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 24,048 17 Electric utilities 17,045 17 IPP & CHP 7,003 16 Net generation (megawatthours) 70,155,504 22 Electric utilities 48,096,026 19 IPP & CHP 22,059,478 14 Emissions Sulfur dioxide 78,556 18 Nitrogen oxide 44,874 23 Carbon dioxide (thousand metric tons) 43,994 18 Sulfur dioxide (lbs/MWh) 2.2 17 Nitrogen oxide (lbs/MWh) 1.3 26

  13. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Oregon Electricity Profile 2014 Table 1. 2014 Summary statistics (Oregon) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 15,884 27 Electric utilities 11,175 25 IPP & CHP 4,709 19 Net generation (megawatthours) 60,119,907 26 Electric utilities 44,565,239 24 IPP & CHP 15,554,668 21 Emissions Sulfur dioxide (short tons) 10,595 39 Nitrogen oxide (short tons) 14,313 42 Carbon dioxide (thousand metric tons) 8,334 40 Sulfur dioxide (lbs/MWh) 0.4 42 Nitrogen

  14. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Pennsylvania Electricity Profile 2014 Table 1. 2014 Summary statistics (Pennsylvania) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 42,723 5 Electric utilities 39 48 IPP & CHP 42,685 3 Net generation (megawatthours) 221,058,365 3 Electric utilities 90,994 44 IPP & CHP 220,967,371 2 Emissions Sulfur dioxide (short tons) 297,598 4 Nitrogen oxide (short tons) 141,486 2 Carbon dioxide (thousand metric tons) 101,361 4 Sulfur dioxide (lbs/MWh) 2.7 11 Nitrogen oxide

  15. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Rhode Island Electricity Profile 2014 Table 1. 2014 Summary statistics (Rhode Island) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 1,810 49 Electric utilities 8 50 IPP & CHP 1,803 38 Net generation (megawatthours) 6,281,748 49 Electric utilities 10,670 48 IPP & CHP 6,271,078 36 Emissions Sulfur dioxide (short tons) 100 49 Nitrogen oxide (short tons) 1,224 49 Carbon dioxide (thousand metric tons) 2,566 48 Sulfur dioxide (lbs/MWh) 0.0 48 Nitrogen oxide

  16. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Carolina Electricity Profile 2014 Table 1. 2014 Summary statistics (South Carolina) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 22,824 18 Electric utilities 20,836 12 IPP & CHP 1,988 36 Net generation (megawatthours) 97,158,465 16 Electric utilities 93,547,004 9 IPP & CHP 3,611,461 43 Emissions Sulfur dioxide (short tons) 43,659 25 Nitrogen oxide (short tons) 21,592 34 Carbon dioxide (thousand metric tons) 33,083 27 Sulfur dioxide (lbs/MWh) 0.9 35

  17. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    South Dakota Electricity Profile 2014 Table 1. 2014 Summary statistics (South Dakota) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 3,948 45 Electric utilities 3,450 36 IPP & CHP 499 48 Net generation (megawatthours) 10,995,240 45 Electric utilities 9,344,872 38 IPP & CHP 1,650,368 48 Emissions Sulfur dioxide (short tons) 13,852 35 Nitrogen oxide (short tons) 10,638 44 Carbon dioxide (thousand metric tons) 3,093 47 Sulfur dioxide (lbs/MWh) 2.5 15

  18. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Tennessee Electricity Profile 2014 Table 1. 2014 Summary statistics (Tennessee) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,998 20 Electric utilities 20,490 14 IPP & CHP 508 47 Net generation (megawatthours) 79,506,886 20 Electric utilities 76,986,629 13 IPP & CHP 2,520,257 47 Emissions Sulfur dioxide (short tons) 89,357 16 Nitrogen oxide (short tons) 23,913 33 Carbon dioxide (thousand metric tons) 41,405 20 Sulfur dioxide (lbs/MWh) 2.2 16 Nitrogen oxide

  19. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Texas Electricity Profile 2014 Table 1. 2014 Summary statistics (Texas) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 112,914 1 Electric utilities 29,113 2 IPP & CHP 83,800 1 Net generation (megawatthours) 437,629,668 1 Electric utilities 94,974,953 7 IPP & CHP 342,654,715 1 Emissions Sulfur Dioxide (short tons) 349,245 2 Nitrogen Oxide short tons) 229,580 1 Carbon Dioxide (thousand metric tons) 254,488 1 Sulfur Dioxide (lbs/MWh) 1.6 26 Nitrogen Oxide

  20. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Utah Electricity Profile 2014 Table 1. 2014 Summary statistics (Utah) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,325 38 Electric utilities 7,296 31 IPP & CHP 1,029 44 Net generation (megawatthours) 43,784,526 33 Electric utilities 40,741,425 28 IPP & CHP 3,043,101 44 Emissions Sulfur Dioxide (short tons) 23,646 31 Nitrogen Oxide (short tons) 57,944 16 Carbon Dioxide (thousand metric tons) 35,179 24 Sulfur Dioxide (lbs/MWh) 1.1 31 Nitrogen Oxide (lbs/MWh)

  1. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Vermont Electricity Profile 2014 Table 1. 2014 Summary statistics (Vermont) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 650 50 Electric utilities 337 44 IPP & CHP 313 49 Net generation (megawatthours) 7,031,394 48 Electric utilities 868,079 42 IPP & CHP 6,163,315 37 Emissions Sulfur Dioxide (short tons) 71 50 Nitrogen Oxide (short tons) 737 50 Carbon Dioxide (thousand metric tons) 14 51 Sulfur Dioxide (lbs/MWh) 0.0 50 Nitrogen Oxide (lbs/MWh) 0.2 51

  2. Sources and composition of submicron organic mass in marine aerosol particles: Marine Aerosol Organic Mass Composition

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Frossard, Amanda A.; Russell, Lynn M.; Burrows, Susannah M.; Elliott, Scott M.; Bates, Timothy S.; Quinn, Patricia K.

    2014-11-26

    Recent studies have proposed a variety of interpretations of the sources and composition of atmospheric marine aerosol particles (aMA) based on a range of physical and chemical measurements collected during open-ocean research cruises. To investigate the processes that affect marine organic particles, this study uses the characteristic functional group composition (from Fourier transform infrared (FTIR) spectroscopy) of aMAP from five ocean regions to show that: (i) The organic functional group composition of aMAP that can be identified as atmospheric primary marine (ocean-derived) aerosol (aPMA) is 6512% hydroxyl, 219% alkane, 66% amine, and 78% carboxylic acid functional groups. Contributions from photochemicalmorereactions add carboxylic acid groups (15%-25%), shipping effluent in seawater and ship emissions add additional alkane groups (up to 70%), and coastal emissions mix in alkane and carboxylic acid groups from coastal pollution sources. (ii) The organic composition of aPMA is nearly identical to model generated primary marine aerosol particles (gPMA) from bubbled seawater (55% hydroxyl, 32% alkane, and 13% amine functional groups), indicating that its overall functional group composition is the direct consequence of the organic constituents of the seawater source. (iii) While the seawater organic functional group composition was nearly invariant across all three ocean regions studied, the gPMA alkane group fraction increased with chlorophyll-a concentrations (r = 0.79). gPMA from productive seawater had a larger fraction of alkane functional groups (35%) compared to gPMA from non-productive seawater (16%), likely due to the presence of surfactants in productive seawater that stabilize the bubble film and lead to preferential drainage of the more soluble (lower alkane group fraction) organic components. gPMA has a hydroxyl group absorption peak location characteristic of monosaccharides and disaccharides, where the seawater OM hydroxyl group peak location is closer to that of polysaccharides. This may result from the larger saccharides preferentially remaining in the seawater during gPMA and aPMA productionless

  3. Experience with Aerosol Generation During Rotary Mode Core Sampling in the Hanford Single Shell Waste Tanks

    SciTech Connect (OSTI)

    SCHOFIELD, J.S.

    2000-01-24

    This document provides data on aerosol concentrations in tank head spaces, total mass of aerosols in the tank head space and mass of aerosols sent to the exhauster during Rotary Mode Core Sampling from November 1994 through June 1999. A decontamination factor for the RMCS exhauster filter housing is calculated based on operation data.

  4. Project Cost Profile Spreadsheet | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet File Project Cost Profile Spreadsheet.xlsx More Documents & Publications Statement of Work (SOW) Template ...

  5. Climate Impacts of Atmospheric Sulfate and Black Carbon Aerosols

    SciTech Connect (OSTI)

    Qian, Yun; Song, Qingyuan; Menon, Surabi; Yu, Shaocai; Liu, Shaw C.; Shi, Guangyu; Leung, Lai R.; Luo, Yunfeng

    2008-09-19

    Although the global average surface temperature has increased by about 0.6°C during the last century (IPCC, 2001), some regions such as East Asia, Eastern North America, and Western Europe have cooled rather than warmed during the past decades (Jones, 1988; Qian and Giorgi, 2000). Coherent changes at the regional scale may reflect responses to different climate forcings that need to be understood in order to predict the future net climate response at the global and regional scales under different emission scenarios. Atmospheric aerosols play an important role in global climate change (IPCC 2001). They perturb the earth’s radiative budget directly by scattering and absorbing solar and long wave radiation, and indirectly by changing cloud reflectivity, lifetime, and precipitation efficiency via their role as cloud condensation nuclei. Because aerosols have much shorter lifetime (days to weeks) compared to most greenhouse gases, they tend to concentrate near their emission sources and distribute very unevenly both in time and space. This non-uniform distribution of aerosols, in conjunction with the greenhouse effect, may lead to differential net heating in some areas and net cooling in others (Penner et al. 1994). Sulfate aerosols come mainly from the oxidation of sulfur dioxide (SO2) emitted from fossil fuel burning. Black carbon aerosols are directly emitted during incomplete combustion of biomass, coal, and diesel derived sources. Due to the different optical properties, sulfate and black carbon affect climate in different ways. Because of the massive emissions of sulfur and black carbon that accompany the rapid economic expansions in East Asia, understanding the effects of aerosols on climate is particularly important scientifically and politically in order to develop adaptation and mitigation strategies.

  6. Distinguishing Aerosol Impacts on Climate Over the Past Century

    SciTech Connect (OSTI)

    Koch, Dorothy; Menon, Surabi; Del Genio, Anthony; Ruedy, Reto; Alienov, Igor; Schmidt, Gavin A.

    2008-08-22

    Aerosol direct (DE), indirect (IE), and black carbon-snow albedo (BAE) effects on climate between 1890 and 1995 are compared using equilibrium aerosol-climate simulations in the Goddard Institute for Space Studies General Circulation Model coupled to a mixed layer ocean. Pairs of control(1890)-perturbation(1995) with successive aerosol effects allow isolation of each effect. The experiments are conducted both with and without concurrent changes in greenhouse gases (GHG's). A new scheme allowing dependence of snow albedo on black carbon snow concentration is introduced. The fixed GHG experiments global surface air temperature (SAT) changed -0.2, -1.0 and +0.2 C from the DE, IE, and BAE. Ice and snow cover increased 1.0% from the IE and decreased 0.3% from the BAE. These changes were a factor of 4 larger in the Arctic. Global cloud cover increased by 0.5% from the IE. Net aerosol cooling effects are about half as large as the GHG warming, and their combined climate effects are smaller than the sum of their individual effects. Increasing GHG's did not affect the IE impact on cloud cover, however they decreased aerosol effects on SAT by 20% and on snow/ice cover by 50%; they also obscure the BAE on snow/ice cover. Arctic snow, ice, cloud, and shortwave forcing changes occur mostly during summer-fall, but SAT, sea level pressure, and long-wave forcing changes occur during winter. An explanation is that aerosols impact the cryosphere during the warm-season but the associated SAT effect is delayed until winter.

  7. Advancing Models and Evaluation of Cumulus, Climate and Aerosol Interactions

    SciTech Connect (OSTI)

    Gettelman, Andrew

    2015-10-27

    This project was successfully able to meet its’ goals, but faced some serious challenges due to personnel issues. Nonetheless, it was largely successful. The Project Objectives were as follows: 1. Develop a unified representation of stratifom and cumulus cloud microphysics for NCAR/DOE global community models. 2. Examine the effects of aerosols on clouds and their impact on precipitation in stratiform and cumulus clouds. We will also explore the effects of clouds and precipitation on aerosols. 3. Test these new formulations using advanced evaluation techniques and observations and release

  8. Thermophoretic separation of aerosol particles from a sampled gas stream

    DOE Patents [OSTI]

    Postma, A.K.

    1984-09-07

    This disclosure relates to separation of aerosol particles from gas samples withdrawn from within a contained atmosphere, such as containment vessels for nuclear reactors or other process equipment where remote gaseous sampling is required. It is specifically directed to separation of dense aerosols including particles of any size and at high mass loadings and high corrosivity. The United States Government has rights in this invention pursuant to Contract DE-AC06-76FF02170 between the US Department of Energy and Westinghouse Electric Corporation.

  9. Thermophoretic separation of aerosol particles from a sampled gas stream

    DOE Patents [OSTI]

    Postma, Arlin K. (Halfway, OR)

    1986-01-01

    A method for separating gaseous samples from a contained atmosphere that includes aerosol particles uses the step of repelling particles from a gas permeable surface or membrane by heating the surface to a temperature greater than that of the surrounding atmosphere. The resulting thermophoretic forces maintain the gas permeable surface clear of aerosol particles. The disclosed apparatus utilizes a downwardly facing heated plate of gas permeable material to combine thermophoretic repulsion and gravity forces to prevent particles of any size from contacting the separating plate surfaces.

  10. Final Project Report - ARM CLASIC CIRPAS Twin Otter Aerosol

    SciTech Connect (OSTI)

    John A. Ogren

    2010-04-05

    The NOAA/ESRL/GMD aerosol group made three types of contributions related to airborne measurements of aerosol light scattering and absorption for the Cloud and Land Surface Interaction Campaign (CLASIC) in June 2007 on the Twin Otter research airplane operated by the Center for Interdisciplinary Remotely-Piloted Aircraft Studies (CIRPAS). GMD scientists served as the instrument mentor for the integrating nephelometer and particle soot absorption photometer (PSAP) on the Twin Otter during CLASIC, and were responsible for (1) instrument checks/comparisons; (2) instrument trouble shooting/repair; and (3) data quality control (QC) and submittal to the archive.

  11. Aerosol Modeling at LLNL - Our capability, results, and perspective

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of Aerosol Indirect Effects to Cloud Parameterizations in Short-Range Weather Forecasts with CAM3 Over the Southern Great Plains during May 2003 IOP Lawrence Livermore National Laboratory This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 Catherine Chuang, James Boyle Shaocheng Xie and James Kelly LLNL-POST-401948 March 11, 2008 Why are aerosol/cloud interactions important? The greatest uncertainty in

  12. The Atmosphere as a Laboratory: Aerosols, Air Quality, and Climate |

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Princeton Plasma Physics Lab 25, 2014, 9:30am to 11:00am Science On Saturday MBG Auditorium The Atmosphere as a Laboratory: Aerosols, Air Quality, and Climate Peter DeCarlo, Assistant Professor of Environmental Engineering and Chemistry Drexel University Abstract: PDF icon PeterDeCarlo.pdf Can't make it to the lab? Watch it LIVE here! The Atmosphere as a Laboratory: Aerosols, Air Quality and Climate Contact Information Coordinator(s): Deedee Ortiz dortiz@pppl.gov Host(s): Ronald Hatcher

  13. ARM - Field Campaign - Holistic Interactions of Shallow Clouds, Aerosols,

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Land-Ecosystems (HI-SCALE): Nano-Particle Number Concentrations Nano-Particle Number Concentrations Related Campaigns Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) 2016.04.24, Fast, AAF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE): Nano-Particle Number Concentrations 2016.08.28 - 2016.09.26 Lead Scientist :

  14. ARM - Field Campaign - Holistic Interactions of Shallow Clouds, Aerosols,

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Land-Ecosystems (HI-SCALE): Nanoparticle Composition and Precursors Nanoparticle Composition and Precursors Related Campaigns Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) 2016.04.24, Fast, AAF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE): Nanoparticle Composition and Precursors 2016.08.21 - 2016.09.27 Lead

  15. Deflagration Wave Profiles

    SciTech Connect (OSTI)

    Menikoff, Ralph

    2012-04-03

    Shock initiation in a plastic-bonded explosives (PBX) is due to hot spots. Current reactive burn models are based, at least heuristically, on the ignition and growth concept. The ignition phase occurs when a small localized region of high temperature (or hot spot) burns on a fast time scale. This is followed by a growth phase in which a reactive front spreads out from the hot spot. Propagating reactive fronts are deflagration waves. A key question is the deflagration speed in a PBX compressed and heated by a shock wave that generated the hot spot. Here, the ODEs for a steady deflagration wave profile in a compressible fluid are derived, along with the needed thermodynamic quantities of realistic equations of state corresponding to the reactants and products of a PBX. The properties of the wave profile equations are analyzed and an algorithm is derived for computing the deflagration speed. As an illustrative example, the algorithm is applied to compute the deflagration speed in shock compressed PBX 9501 as a function of shock pressure. The calculated deflagration speed, even at the CJ pressure, is low compared to the detonation speed. The implication of this are briefly discussed.

  16. Beam Profile Monitor With Accurate Horizontal And Vertical Beam Profiles

    DOE Patents [OSTI]

    Havener, Charles C [Knoxville, TN; Al-Rejoub, Riad [Oak Ridge, TN

    2005-12-26

    A widely used scanner device that rotates a single helically shaped wire probe in and out of a particle beam at different beamline positions to give a pair of mutually perpendicular beam profiles is modified by the addition of a second wire probe. As a result, a pair of mutually perpendicular beam profiles is obtained at a first beamline position, and a second pair of mutually perpendicular beam profiles is obtained at a second beamline position. The simple modification not only provides more accurate beam profiles, but also provides a measurement of the beam divergence and quality in a single compact device.

  17. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982

  18. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0

  19. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0

  20. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966

  1. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473

  2. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314

  3. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0

  4. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0

  5. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966

  6. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473

  7. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314

  8. Effects of Ocean Ecosystem on Marine Aerosol-Cloud Interaction

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Meskhidze, Nicholas; Nenes, Athanasios

    2010-01-01

    Using smore » atellite data for the surface ocean, aerosol optical depth (AOD), and cloud microphysical parameters, we show that statistically significant positive correlations exist between ocean ecosystem productivity, the abundance of submicron aerosols, and cloud microphysical properties over different parts of the remote oceans. The correlation coefficient for remotely sensed surface chlorophyll a concentration ([Chl- a ]) and liquid cloud effective radii over productive areas of the oceans varies between − 0.2 and − 0.6 . Special attention is given to identifying (and addressing) problems from correlation analysis used in the previous studies that can lead to erroneous conclusions. A new approach (using the difference between retrieved AOD and predicted sea salt aerosol optical depth, AOD diff ) is developed to explore causal links between ocean physical and biological systems and the abundance of cloud condensation nuclei (CCN) in the remote marine atmosphere. We have found that over multiple time periods, 550 nm AOD diff (sensitive to accumulation mode aerosol, which is the prime contributor to CCN) correlates well with [Chl- a ] over the productive waters of the Southern Ocean. Since [Chl- a ] can be used as a proxy of ocean biological productivity, our analysis demonstrates the role of ocean ecology in contributing CCN, thus shaping the microphysical properties of low-level marine clouds.« less

  9. Soft ionization of thermally evaporated hypergolic ionic liquid aerosols

    SciTech Connect (OSTI)

    University of California; ERC, Incorporated, Edwards Air Force Base; Air Force Research Laboratory, Edwards Air Force Base; National Synchrotron Radiation Research Center; Institute of Chemistry, Hebrew University; Koh, Christine J.; Liu, Chen-Lin; Harmon, Christopher W.; Strasser, Daniel; Golan, Amir; Kostko, Oleg; Chambreau, Steven D.; Vaghjiani, Ghanshyam L.; Leone, Stephen R.

    2011-07-19

    Isolated ion pairs of a conventional ionic liquid, 1-Ethyl-3-Methyl-Imidazolium Bis(trifluoromethylsulfonyl)imide ([Emim+][Tf2N?]), and a reactive hypergolic ionic liquid, 1-Butyl-3-Methyl-Imidazolium Dicyanamide ([Bmim+][Dca?]), are generated by vaporizing ionic liquid submicron aerosol particles for the first time; the vaporized species are investigated by dissociative ionization with tunable vacuum ultraviolet (VUV) light, exhibiting clear intact cations, Emim+ and Bmim+, presumably originating from intact ion pairs. Mass spectra of ion pair vapor from an effusive source of the hypergolic ionic liquid show substantial reactive decomposition due to the internal energy of the molecules emanating from the source. Photoionization efficiency curves in the near threshold ionization region of isolated ion pairs of [Emim+][Tf2N?]ionic liquid vapor are compared for an aerosol source and an effusive source, revealing changes in the appearance energy due to the amount of internal energy in the ion pairs. The aerosol source has a shift to higher threshold energy (~;;0.3 eV), attributed to reduced internal energy of the isolated ion pairs. The method of ionic liquid submicron aerosol particle vaporization, for reactive ionic liquids such as hypergolic species, is a convenient, thermally ?cooler? source of isolated intact ion pairs in the gas phase compared to effusive sources.

  10. Laboratory Investigation of Organic Aerosol Formation from Aromatic Hydrocarbons

    DOE R&D Accomplishments [OSTI]

    Molina, Luisa T.; Molina, Mario J.; Zhang, Renyi

    2006-08-23

    Our work for this DOE funded project includes: (1) measurements of the kinetics and mechanism of the gas-phase oxidation reactions of the aromatic hydrocarbons initiated by OH; (2) measurements of aerosol formation from the aromatic hydrocarbons; and (3) theoretical studies to elucidate the OH-toluene reaction mechanism using quantum-chemical and rate theories.

  11. Field Trial of an Aerosol-Based Enclosure Sealing Technology

    SciTech Connect (OSTI)

    Harrington, Curtis; Springer, David

    2015-09-01

    This report presents the results from several demonstrations of a new method for sealing building envelope air leaks using an aerosol sealing process developed by the Western Cooling Efficiency Center at UC Davis. The process involves pressurizing a building while applying an aerosol sealant to the interior. As air escapes through leaks in the building envelope, the aerosol particles are transported to the leaks where they collect and form a seal that blocks the leak. Standard blower door technology is used to facilitate the building pressurization, which allows the installer to track the sealing progress during the installation and automatically verify the final building tightness. Each aerosol envelope sealing installation was performed after drywall was installed and taped, and the process did not appear to interrupt the construction schedule or interfere with other trades working in the homes. The labor needed to physically seal bulk air leaks in typical construction will not be replaced by this technology. However, this technology is capable of bringing the air leakage of a building that was built with standard construction techniques and HERS-verified sealing down to levels that would meet DOE Zero Energy Ready Homes program requirements. When a developer is striving to meet a tighter envelope leakage specification, this technology could greatly reduce the cost to achieve that goal by providing a simple and relatively low cost method for reducing the air leakage of a building envelope with little to no change in their common building practices.

  12. Black carbon aerosols and the third polar ice cap

    SciTech Connect (OSTI)

    Menon, Surabi; Koch, Dorothy; Beig, Gufran; Sahu, Saroj; Fasullo, John; Orlikowski, Daniel

    2010-04-15

    Recent thinning of glaciers over the Himalayas (sometimes referred to as the third polar region) have raised concern on future water supplies since these glaciers supply water to large river systems that support millions of people inhabiting the surrounding areas. Black carbon (BC) aerosols, released from incomplete combustion, have been increasingly implicated as causing large changes in the hydrology and radiative forcing over Asia and its deposition on snow is thought to increase snow melt. In India BC emissions from biofuel combustion is highly prevalent and compared to other regions, BC aerosol amounts are high. Here, we quantify the impact of BC aerosols on snow cover and precipitation from 1990 to 2010 over the Indian subcontinental region using two different BC emission inventories. New estimates indicate that Indian BC emissions from coal and biofuel are large and transport is expected to expand rapidly in coming years. We show that over the Himalayas, from 1990 to 2000, simulated snow/ice cover decreases by {approx}0.9% due to aerosols. The contribution of the enhanced Indian BC to this decline is {approx}36%, similar to that simulated for 2000 to 2010. Spatial patterns of modeled changes in snow cover and precipitation are similar to observations (from 1990 to 2000), and are mainly obtained with the newer BC estimates.

  13. Soft ionization of thermally evaporated hypergolic ionic liquid aerosols

    SciTech Connect (OSTI)

    University of California; ERC, Incorporated, Edwards Air Force Base; Air Force Research Laboratory, Edwards Air Force Base; National Synchrotron Radiation Research Center; Koh, Christine J.; Liu, Chen-Lin; Harmon, Christopher W.; Strasser, Daniel; Golan, Amir; Kostko, Oleg; Chambreau, Steven D.; L.Vaghjiani, Ghanshyam; Leone, Stephen R.

    2012-03-16

    Isolated ion pairs of a conventional ionic liquid, 1-Ethyl-3-Methyl-Imidazolium Bis(trifluoromethylsulfonyl)imide ([Emim+][Tf2N?]), and a reactive hypergolic ionic liquid, 1- Butyl-3-Methyl-Imidazolium Dicyanamide ([Bmim+][Dca?]), are generated by vaporizing ionic liquid submicron aerosol particles for the first time; the vaporized species are investigated by dissociative ionization with tunable vacuum ultraviolet (VUV) light, exhibiting clear intact cations, Emim+ and Bmim+, presumably originating from intact ion pairs. Mass spectra of ion pair vapor from an effusive source of the hypergolic ionic liquid show substantial reactive decomposition due to the internal energy of the molecules emanating from the source. Photoionization efficiency curves in the near threshold ionization region of isolated ion pairs of [Emim+][Tf2N?] ionic liquid vapor are compared for an aerosol source and an effusive source, revealing changes in the appearance energy due to the amount of internal energy in the ion pairs. The aerosol source has a shift to higher threshold energy (~;;0.3 eV), attributed to reduced internal energy of the isolated ion pairs. The method of ionic liquid submicron aerosol particle vaporization, for reactive ionic liquids such as hypergolic species, is a convenient, thermally ?cooler? source of isolated intact ion pairs in the gas phase compared to effusive sources.

  14. LESSONS LEARNED IN AEROSOL MONITORING WITH THE RASA

    SciTech Connect (OSTI)

    Forrester, Joel B.; Bowyer, Ted W.; Carty, Fitz; Comes, Laura; Eslinger, Paul W.; Greenwood, Lawrence R.; Haas, Derek A.; Hayes, James C.; Kirkham, Randy R.; Lepel, Elwood A.; Litke, Kevin E.; Miley, Harry S.; Morris, Scott J.; Schrom, Brian T.; Van Davelaar, Peter; Woods, Vincent T.

    2011-09-14

    The Radionuclide Aerosol Sampler/Analyzer (RASA) is an automated aerosol collection and analysis system designed by Pacific Northwest National Laboratory (PNNL) in the 1990's and is deployed in several locations around the world as part of the International Monitoring System (IMS) required under the Comprehensive Nuclear-Test-Ban Treaty (CTBT). The RASA operates unattended, save for regularly scheduled maintenance, iterating samples through a three-step process on a 24-hour interval. In its 15-year history, much has been learned from the operation and maintenance of the RASA that can benefit engineering updates or future aerosol systems. On 11 March 2011, a 9.0 magnitude earthquake and tsunami rocked the eastern coast of Japan, resulting in power loss and cooling failures at the Daiichi nuclear power plants in Fukushima Prefecture. Aerosol collections were conducted with the RASA in Richland, WA. We present a summary of the lessons learned over the history of the RASA, including lessons taken from the Fukushima incident, regarding the RASA IMS stations operated by the United States.

  15. Building America Webinar: Sealing of Home Enclosures with Aerosol Particles

    Broader source: Energy.gov [DOE]

    This webinar was presented by research team Building Industry Research Alliance (BIRA), and provided information about a project that uses existing aerosol duct sealing technology to seal the entire building enclosure in order to achieve greater airtightness and energy and cost savings.

  16. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  17. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  18. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  19. Search Women@Energy Profiles

    Broader source: Energy.gov [DOE]

    Search the Women@Energy profiles to learn more about how to get into STEM, inspired by STEM, or find a STEM career.

  20. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane

    SciTech Connect (OSTI)

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  1. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane

    SciTech Connect (OSTI)

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  2. FY 2011 Second Quarter: Demonstration of New Aerosol Measurement Verification Testbed for Present-Day Global Aerosol Simulations

    SciTech Connect (OSTI)

    Koch, D

    2011-03-20

    The regional-scale Weather Research and Forecasting (WRF) model is being used by a DOE Earth System Modeling (ESM) project titled Improving the Characterization of Clouds, Aerosols and the Cryosphere in Climate Models to evaluate the performance of atmospheric process modules that treat aerosols and aerosol radiative forcing in the Arctic. We are using a regional-scale modeling framework for three reasons: (1) It is easier to produce a useful comparison to observations with a high resolution model; (2) We can compare the behavior of the CAM parameterization suite with some of the more complex and computationally expensive parameterizations used in WRF; (3) we can explore the behavior of this parameterization suite at high resolution. Climate models like the Community Atmosphere Model version 5 (CAM5) being used within the Community Earth System Model (CESM) will not likely be run at mesoscale spatial resolutions (1020 km) until 510 years from now. The performance of the current suite of physics modules in CAM5 at such resolutions is not known, and current computing resources do not permit high-resolution global simulations to be performed routinely. We are taking advantage of two tools recently developed under PNNL Laboratory Directed Research and Development (LDRD) projects for this activity. The first is the Aerosol Modeling Testbed (Fast et al., 2011b), a new computational framework designed to streamline the process of testing and evaluating aerosol process modules over a range of spatial and temporal scales. The second is the CAM5 suite of physics parameterizations that have been ported into WRF so that their performance and scale dependency can be quantified at mesoscale spatial resolutions (Gustafson et al., 2010; with more publications in preparation).

  3. Steel Energy and Environmental Profile

    SciTech Connect (OSTI)

    none,

    2000-08-01

    Major steelmaking processes (from ironmaking through fabrication and forming) and their associated energy requirements have been profiled in this 2001 report (PDF 582 KB). This profile by Energetics, Inc. also describes the waste streams generated by each process and estimates annual emissions of CO2 and criteria pollutants.

  4. EMSP Final Report: Electrically Driven Technologies for Radioactive Aerosol Abatement

    SciTech Connect (OSTI)

    DePaoli, D.W.

    2003-01-22

    The purpose of this research project was to develop an improved understanding of how electrically driven processes, including electrocoalescence, acoustic agglomeration, and electric filtration, may be employed to efficiently treat problems caused by the formation of aerosols during DOE waste treatment operations. The production of aerosols during treatment and retrieval operations in radioactive waste tanks and during thermal treatment operations such as calcination presents a significant problem of cost, worker exposure, potential for release, and increased waste volume. There was anecdotal evidence in the literature that acoustic agglomeration and electrical coalescence could be used together to change the size distribution of aerosol particles in such a way as to promote easier filtration and less frequent maintenance of filtration systems. As such, those electrically driven technologies could potentially be used as remote technologies for improved treatment; however, existing theoretical models are not suitable for prediction and design. To investigate the physics of such systems, and also to prototype a system for such processes, a collaborative project was undertaken between Oak Ridge National Laboratory (ORNL) and the University of Texas at Austin (UT). ORNL was responsible for the larger-scale prototyping portion of the project, while UT was primarily responsible for the detailed physics in smaller scale unit reactors. It was found that both electrical coalescence and acoustic agglomeration do in fact increase the rate of aggregation of aerosols. Electrical coalescence requires significantly less input power than acoustic agglomeration, but it is much less effective in its ability to aggregate/coalesce aerosols. The larger-scale prototype showed qualitatively similar results as the unit reactor tests, but presented more difficulty in interpretation of the results because of the complex multi-physics coupling that necessarily occur in all larger-scale system tests. An additional finding from this work is that low-amplitude oscillation may provide an alternative, non-invasive, non-contact means of controlling settling and/or suspension of solids. Further investigation would be necessary to evaluate its utility for radioactive waste treatment applications. This project did not uncover a new technology for radioactive waste treatment. While it may be possible that an efficient electrically driven technology for aerosol treatment could be developed, it appears that other technologies, such as steel and ceramic HEPA filters, can suitably solve this problem. If further studies are to be undertaken, additional fundamental experimentation and modeling is necessary to fully capture the physics; in addition, larger-scale tests are needed to demonstrate the treatment of flowing gas streams through the coupling of acoustic agglomeration with electrocoalescence.

  5. Laser heterodyne surface profiler

    DOE Patents [OSTI]

    Sommargren, G.E.

    1980-06-16

    A method and apparatus are disclosed for testing the deviation of the face of an object from a flat smooth surface using a beam of coherent light of two plane-polarized components, one of a frequency constantly greater than the other by a fixed amount to produce a difference frequency with a constant phase to be used as a reference, and splitting the beam into its two components. The separate components are directed onto spaced apart points on the face of the object to be tested for smoothness while the face of the object is rotated on an axis normal to one point, thereby passing the other component over a circular track on the face of the object. The two components are recombined after reflection to produce a reflected frequency difference of a phase proportional to the difference in path length of one component reflected from one point to the other component reflected from the other point. The phase of the reflected frequency difference is compared with the reference phase to produce a signal proportional to the deviation of the height of the surface along the circular track with respect to the fixed point at the center, thereby to produce a signal that is plotted as a profile of the surface along the circular track. The phase detector includes a quarter-wave plate to convert the components of the reference beam into circularly polarized components, a half-wave plate to shift the phase of the circularly polarized components, and a polarizer to produce a signal of a shifted phase for comparison with the phase of the frequency difference of the reflected components detected through a second polarizer. Rotation of the half-wave plate can be used for phase adjustment over a full 360/sup 0/ range.

  6. Observations of the first aerosol indirect effect in shallow cumuli

    SciTech Connect (OSTI)

    Berg, Larry K.; Berkowitz, Carl M.; Barnard, James C.; Senum, Gunar; Springston, Stephen R.

    2011-02-08

    Data from the Cumulus Humilis Aerosol Processing Study (CHAPS) are used to estimate the impact of both aerosol indirect effects and cloud dynamics on the microphysical and optical properties of shallow cumuli observed in the vicinity of Oklahoma City, Oklahoma. Not surprisingly, we find that the amount of light scattered by the clouds is dominated by their liquid water content (LWC), which in turn is driven by cloud dynamics. However, removing the effect of cloud dynamics by examining the scattering normalized by LWC shows a strong sensitivity of scattering to pollutant loading. These results suggest that even moderately sized cities, like Oklahoma City, can have a measureable impact on the optical properties of shallow cumuli.

  7. Parameterizations of Cloud Microphysics and Indirect Aerosol Effects

    SciTech Connect (OSTI)

    Tao, Wei-Kuo

    2014-05-19

    1. OVERVIEW Aerosols and especially their effect on clouds are one of the key components of the climate system and the hydrological cycle [Ramanathan et al., 2001]. Yet, the aerosol effect on clouds remains largely unknown and the processes involved not well understood. A recent report published by the National Academy of Science states "The greatest uncertainty about the aerosol climate forcing - indeed, the largest of all the uncertainties about global climate forcing - is probably the indirect effect of aerosols on clouds [NRC, 2001]." The aerosol effect on clouds is often categorized into the traditional "first indirect (i.e., Twomey)" effect on the cloud droplet sizes for a constant liquid water path [Twomey, 1977] and the "semi-direct" effect on cloud coverage [e.g., Ackerman et al., 2000]. Enhanced aerosol concentrations can also suppress warm rain processes by producing a narrow droplet spectrum that inhibits collision and coalescence processes [e.g., Squires and Twomey, 1961; Warner and Twomey, 1967; Warner, 1968; Rosenfeld, 1999]. The aerosol effect on precipitation processes, also known as the second type of aerosol indirect effect [Albrecht, 1989], is even more complex, especially for mixed-phase convective clouds. Table 1 summarizes the key observational studies identifying the microphysical properties, cloud characteristics, thermodynamics and dynamics associated with cloud systems from high-aerosol continental environments. For example, atmospheric aerosol concentrations can influence cloud droplet size distributions, warm-rain process, cold-rain process, cloud-top height, the depth of the mixed phase region, and occurrence of lightning. In addition, high aerosol concentrations in urban environments could affect precipitation variability by providing an enhanced source of cloud condensation nuclei (CCN). Hypotheses have been developed to explain the effect of urban regions on convection and precipitation [van den Heever and Cotton, 2007 and Shepherd, 2005]. Recently, a detailed spectral-bin microphysical scheme was implemented into the Goddard Cumulus Ensemble (GCE) model. Atmospheric aerosols are also described using number density size-distribution functions. A spectral-bin microphysical model is very expensive from a computational point of view and has only been implemented into the 2D version of the GCE at the present time. The model is tested by studying the evolution of deep tropical clouds in the west Pacific warm pool region and summertime convection over a mid-latitude continent with different concentrations of CCN: a low "clean" concentration and a high "dirty" concentration. The impact of atmospheric aerosol concentration on cloud and precipitation will be investigated. 2. MODEL DESCRIPTION AND CASE STUDIES 2.1 GCE MODEL The model used in this study is the 2D version of the GCE model. Modeled flow is anelastic. Second- or higher-order advection schemes can produce negative values in the solution. Thus, a Multi-dimensional Positive Definite Advection Transport Algorithm (MPDATA) has been implemented into the model. All scalar variables (potential temperature, water vapor, turbulent coefficient and all five hydrometeor classes) use forward time differencing and the MPDATA for advection. Dynamic variables, u, v and w, use a second-order accurate advection scheme and a leapfrog time integration (kinetic energy semi-conserving method). Short-wave (solar) and long-wave radiation as well as a subgrid-scale TKE turbulence scheme are also included in the model. Details of the model can be found in Tao and Simpson (1993) and Tao et al. (2003). 2.2 Microphysics (Bin Model) The formulation of the explicit spectral-bin microphysical processes is based on solving stochastic kinetic equations for the size distribution functions of water droplets (cloud droplets and raindrops), and six types of ice particles: pristine ice crystals (columnar and plate-like), snow (dendrites and aggregates), graupel and frozen drops/hail. Each type is described by a special size distribution function containing 33 categories (bins). Atmospheric aerosols are also described using number density size-distribution functions (containing 33 bins). Droplet nucleation (activation) is derived from the analytical calculation of super-saturation, which is used to determine the sizes of aerosol particles to be activated and the corresponding sizes of nucleated droplets. Primary nucleation of each type of ice crystal takes place within certain temperature ranges. A detailed description of these explicitly parameterized processes can be found in Khain and Sednev (1996) and Khain et al. (1999, 2001). 2.3 Case Studies Three cases, a tropical oceanic squall system observed during TOGA COARE (Tropical Ocean and Global Atmosphere Coupled Ocean-Atmosphere Response Experiment, which occurred over the Pacific Ocean warm pool from November 1992 to February 1993), a midlatitude continental squall system observed during PRESTORM (Preliminary Regional Experiment for STORM-Central, which occurred in Kansas and Oklahoma during May-June 1985), and mid-afternoon convection observed during CRYSTAL-FACE (Cirrus Regional Study of Tropical Anvils and Cirrus Layers – Florida Area Cumulus Experiment, which occurred in Florida during July 2002), will be used to examine the impact of aerosols on deep, precipitating systems. 3. SUMMARY of RESULTS • For all three cases, higher CCN produces smaller cloud droplets and a narrower spectrum. Dirty conditions delay rain formation, increase latent heat release above the freezing level, and enhance vertical velocities at higher altitude for all cases. Stronger updrafts, deeper mixed-phase regions, and more ice particles are simulated with higher CCN in good agreement with observations. • In all cases, rain reaches the ground early with lower CCN. Rain suppression is also evident in all three cases with high CCN in good agreement with observations (Rosenfeld, 1999, 2000 and others). Rain suppression, however, only occurs during the first hour of simulation. This result suggests that microphysical processes dominate the impact of aerosols on precipitation in the early stage of precipitation development. • During the mature stage of the simulations, the effect of increasing aerosol concentration ranges from rain suppression in the PRESTORM case to little effect on surface rainfall in the CRYSTAL-FACE case to rain enhancement in the TOGA COARE case. • The model results suggest that evaporative cooling is a key process in determining whether higher CCN reduces or enhances precipitation. Cold pool strength can be enhanced by stronger evaporation. When cold pool interacts with the near surface wind shear, the low-level convergence can be stronger, facilitating secondary cloud formation and more vigorous precipitation processes. Evaporative cooling is more than two times stronger at low levels with higher CCN for the TOGA COARE case during the early stages of precipitation development. However, evaporative cooling is slightly stronger at lower levels with lower CCN for the PRESTORM case. The early formation of rain in the clean environment could allow for the formation of an earlier and stronger cold pool compared to a dirty environment. PRESTORM has a very dry environment and both large and small rain droplets can evaporate. Consequently, the cold pool is relatively weaker, and the system is relatively less intense with higher CCN. • Sensitivity tests are conducted to determine the impact of ice processes on aerosol-precipitation interaction. The results suggested that ice processes are crucial for suppressing precipitation due to high CCN for the PRESTORM case. More and smaller ice particles are generated in the dirty case and transported to the trailing stratiform region. This reduces the heavy convective rain and contributes to the weakening of the cold pool. Warm rain processes dominate the TOGA COARE case. Therefore, ice processes only play a secondary role in terms of aerosol-precipitation interaction. • Two of the three cloud systems presented in this paper formed a line structure (squall system). A 2D simulation, therefore, gives a good approximation to such a line of convective clouds. Since the real atmosphere is 3D, further 3D cloud-resolving simulations are needed to address aerosol-precipitation interactions. 4. REFERENCES Tao, W.-K., X. Li, A. Khain, T. Matsui, S. Lang, and J. Simpson, 2007: The role of atmospheric aerosol concentration on deep convective precipitation: Cloud-resolving model simulations. J. Geophy. Res., 112, D24S18, doi:10.1029/2007JD008728. All other references can be found in above paper. 5. Acknowledgements The GCE model is mainly supported by the NASA Headquarters Atmospheric Dynamics and Thermodynamics Program and the NASA Tropical Rainfall Measuring Mission (TRMM). The research was also supported by the Office of Science (BER), U. S. Department of Energy/Atmospheric Radiation Measurement (DOE/ARM) Interagency. The authors acknowledge NASA Goddard Space Flight Center for computer time used in this research.

  8. The impact of atmospheric aerosols on trace metal chemistry in open ocean surface seawater 3. Lead

    SciTech Connect (OSTI)

    Maring, H.B.; Duce, R.A. )

    1990-04-15

    Atmospheric aerosols collected at Enewetak Atoll in the tropical North Pacific were exposed to seawater in laboratory experiments to assess the impact of atmospheric aerosols on lead chemistry in surface seawater. The net atmospheric flux of soluble lead to the ocean is between 16 and 32 pmol cm{sup {minus}2}/yr at Enewetak. The stable lead isotopic composition of soluble aerosol lead indicates that it is of anthropogenic origin. Anthropogenic aerosol lead from Central and North America appears to be less soluble and/or to dissolve less rapidly than that from Asia. Dissolved organic matter and possibly lower pH appear to increase the nonaluminosilicate aerosol lead solubility and/or dissolution rate. The isotopic composition of lead in air, seawater and dry deposition suggests that after deposition in the ocean, nonaluminosilicate particulate lead can be reinjected into the atmosphere during sea salt aerosol production.

  9. Unintended consequences of atmospheric injection of sulphate aerosols.

    SciTech Connect (OSTI)

    Brady, Patrick Vane; Kobos, Peter Holmes; Goldstein, Barry

    2010-10-01

    Most climate scientists believe that climate geoengineering is best considered as a potential complement to the mitigation of CO{sub 2} emissions, rather than as an alternative to it. Strong mitigation could achieve the equivalent of up to -4Wm{sup -2} radiative forcing on the century timescale, relative to a worst case scenario for rising CO{sub 2}. However, to tackle the remaining 3Wm{sup -2}, which are likely even in a best case scenario of strongly mitigated CO{sub 2} releases, a number of geoengineering options show promise. Injecting stratospheric aerosols is one of the least expensive and, potentially, most effective approaches and for that reason an examination of the possible unintended consequences of the implementation of atmospheric injections of sulphate aerosols was made. Chief among these are: reductions in rainfall, slowing of atmospheric ozone rebound, and differential changes in weather patterns. At the same time, there will be an increase in plant productivity. Lastly, because atmospheric sulphate injection would not mitigate ocean acidification, another side effect of fossil fuel burning, it would provide only a partial solution. Future research should aim at ameliorating the possible negative unintended consequences of atmospheric injections of sulphate injection. This might include modeling the optimum rate and particle type and size of aerosol injection, as well as the latitudinal, longitudinal and altitude of injection sites, to balance radiative forcing to decrease negative regional impacts. Similarly, future research might include modeling the optimum rate of decrease and location of injection sites to be closed to reduce or slow rapid warming upon aerosol injection cessation. A fruitful area for future research might be system modeling to enhance the possible positive increases in agricultural productivity. All such modeling must be supported by data collection and laboratory and field testing to enable iterative modeling to increase the accuracy and precision of the models, while reducing epistemic uncertainties.

  10. ARM - Carbonaceous Aerosols and Radiative Effects Study (CARES)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Related Links CARES Home AAF Home ARM Data Discovery Browse Data Post-Campaign Data Sets Field Updates CARES Wiki Campaign Images Experiment Planning Proposal Abstract and Related Campaigns Science Plan Operations Plan Measurements Forecasts News News & Press Backgrounder (PDF, 1.45MB) G-1 Aircraft Fact Sheet (PDF, 1.3MB) Contacts Rahul Zaveri, Lead Scientist Carbonaceous Aerosols and Radiative Effects Study (CARES) Proposed ground sites (T0 and T1) and G-1 airborne instrumentation sampling

  11. Caused? A Monsoon Example: India Ganges Valley Aerosol Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    issue: What is a Monsoon? How are Monsoons Caused? A Monsoon Example: India Ganges Valley Aerosol Experiment Definitions Activity About ARM: The Atmospheric Radiation Measurement (ARM) Climate Research Facility is a U.S. Department of Energy scientific user facility for the study of global climate change. As part of its outreach program, ARM provides education resources for students, teachers, and communities. www.arm.gov EDUCATION NEWS Monsoons: Bring on the Rain Imagine weeks of hot, dry heat,

  12. Laboratory Testing of Aerosol for Enclosure Air Sealing

    SciTech Connect (OSTI)

    Harrington, C.; Modera, M.

    2012-05-01

    Space conditioning energy use can be significantly reduced by addressing uncontrolled infiltration and exfiltration through the envelope of a building. A process for improving the air tightness of a building envelope by sealing shell leaks with an aerosol sealing technology is presented. Both retrofit and new construction applications are possible through applying this process either in attics and crawlspaces or during rough-in stage.

  13. Aerosol Properties Downwind of Biomass Burns Field Campaign Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 Aerosol Properties Downwind of Biomass Burns Field Campaign Report April 2016 PR Buseck DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  14. Modeling the Explicit Chemistry of Anthropogenic and Biogenic Organic Aerosols

    SciTech Connect (OSTI)

    Madronich, Sasha

    2015-12-09

    The atmospheric burden of Secondary Organic Aerosols (SOA) remains one of the most important yet uncertain aspects of the radiative forcing of climate. This grant focused on improving our quantitative understanding of SOA formation and evolution, by developing, applying, and improving a highly detailed model of atmospheric organic chemistry, the Generation of Explicit Chemistry and Kinetics of Organics in the Atmosphere (GECKO-A) model. Eleven (11) publications have resulted from this grant.

  15. Aerosol Observing System Greenhouse Gas (AOS GHG) Handbook

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 Aerosol Observing System Greenhouse Gas (AOS GHG) Monitor Handbook SC Biraud K Reichl March 2016 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would

  16. Aerosol Radiative Effects in the Tropical Western Pacific

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Effects in the Tropical Western Pacific A. M. Vogelmann Center for Atmospheric Sciences Scripps Institution of Oceanography University of California San Diego, California Introduction Atmospheric Radiation Measurement (ARM) Program observations are used to quantify the aerosol radiative effects in the climatically important Tropical Western Pacific (TWP). This quantification addresses two primary ARM objectives by (1) ascertaining the existing variability of the radiative forcing and its

  17. High air volume to low liquid volume aerosol collector

    DOE Patents [OSTI]

    Masquelier, Donald A.; Milanovich, Fred P.; Willeke, Klaus

    2003-01-01

    A high air volume to low liquid volume aerosol collector. A high volume flow of aerosol particles is drawn into an annular, centripetal slot in a collector which directs the aerosol flow into a small volume of liquid pool contained is a lower center section of the collector. The annular jet of air impinges into the liquid, imbedding initially airborne particles in the liquid. The liquid in the pool continuously circulates in the lower section of the collector by moving to the center line, then upwardly, and through assistance by a rotating deflector plate passes back into the liquid at the outer area adjacent the impinging air jet which passes upwardly through the liquid pool and through a hollow center of the collector, and is discharged via a side outlet opening. Any liquid droplets escaping with the effluent air are captured by a rotating mist eliminator and moved back toward the liquid pool. The collector includes a sensor assembly for determining, controlling, and maintaining the level of the liquid pool, and includes a lower centrally located valve assembly connected to a liquid reservoir and to an analyzer for analyzing the particles which are impinged into the liquid pool.

  18. Source terms for plutonium aerosolization from nuclear weapon accidents

    SciTech Connect (OSTI)

    Stephens, D.R.

    1995-07-01

    The source term literature was reviewed to estimate aerosolized and respirable release fractions for accidents involving plutonium in high-explosive (HE) detonation and in fuel fires. For HE detonation, all estimates are based on the total amount of Pu. For fuel fires, all estimates are based on the amount of Pu oxidized. I based my estimates for HE detonation primarily upon the results from the Roller Coaster experiment. For hydrocarbon fuel fire oxidation of plutonium, I based lower bound values on laboratory experiments which represent accident scenarios with very little turbulence and updraft of a fire. Expected values for aerosolization were obtained from the Vixen A field tests, which represent a realistic case for modest turbulence and updraft, and for respirable fractions from some laboratory experiments involving large samples of Pu. Upper bound estimates for credible accidents are based on experiments involving combustion of molten plutonium droplets. In May of 1991 the DOE Pilot Safety Study Program established a group of experts to estimate the fractions of plutonium which would be aerosolized and respirable for certain nuclear weapon accident scenarios.

  19. Aerosol chemical vapor deposition of metal oxide films

    DOE Patents [OSTI]

    Ott, Kevin C.; Kodas, Toivo T.

    1994-01-01

    A process of preparing a film of a multicomponent metal oxide including: forming an aerosol from a solution comprised of a suitable solvent and at least two precursor compounds capable of volatilizing at temperatures lower than the decomposition temperature of said precursor compounds; passing said aerosol in combination with a suitable oxygen-containing carrier gas into a heated zone, said heated zone having a temperature sufficient to evaporate the solvent and volatilize said precursor compounds; and passing said volatilized precursor compounds against the surface of a substrate, said substrate having a sufficient temperature to decompose said volatilized precursor compounds whereby metal atoms contained within said volatilized precursor compounds are deposited as a metal oxide film upon the substrate is disclosed. In addition, a coated article comprising a multicomponent metal oxide film conforming to the surface of a substrate selected from the group consisting of silicon, magnesium oxide, yttrium-stabilized zirconium oxide, sapphire, or lanthanum gallate, said multicomponent metal oxide film characterized as having a substantially uniform thickness upon said FIELD OF THE INVENTION The present invention relates to the field of film coating deposition techniques, and more particularly to the deposition of multicomponent metal oxide films by aerosol chemical vapor deposition. This invention is the result of a contract with the Department of Energy (Contract No. W-7405-ENG-36).

  20. Investigation of Absorption Properties of Submicron Aerosol in the Troposphere Over West Siberia

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Investigation of Absorption Properties of Submicron Aerosol in the Troposphere Over West Siberia M. V. Panchenko, V. S. Kozlov, and V. P. Shmargunov Institute of Atmospheric Optics Tomsk, Russia Introduction Improving radiative climate models for the cloudless atmosphere depends largely on the correct way to simulate single-scattering albedo of atmospheric aerosol. Solving this problem requires performing detailed experiments on the study of the aerosol absorption characteristics in the