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1

ARM - Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

CenterResearch Highlights CenterResearch Highlights Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance Research Highlights Research Highlights Archive » Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate Jan 07, 2014 Predicting how atmospheric aerosols influence cloud formation and the resulting feedback to climate is a challenge that limits the accuracy of atmospheric models. This is especially true in the Arctic, where mixed-phase (both ice- and liquid-based) clouds are frequently observed, but the processes that determine their composition are poorly understood. To obtain a closer look [...]

2

Research Highlights  

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Highlights Highlights Form Submit a New Research Highlight Sort Highlights Submitter Title Research Area Working Group Submission Date DOE Progress Reports Notable Research Findings for 2001-2006 Biological and Environmental Research Abstracts Database Research Highlights Summaries Research Highlights Members of ARM's science team are major contributors to radiation and cloud research. ARM investigators publish about 150 refereed journal articles per year, and ARM data are used in many studies published by other scientific organizations. These documented research efforts represent tangible evidence of ARM's contribution to advances in almost all areas of atmospheric radiation and cloud research. Below is a selection of summaries highlighting recently-published ARM research. The entire collection of ARM

3

Research Highlight  

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Giants in the Sky Giants in the Sky For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight A few large particles in a crowd of tiny ones have often been ignored when calculating the amount of sunlight bounced back into space in clean-sky conditions. Scientists at Pacific Northwest National Laboratory found that these "giant" particles have a larger-than-expected impact on the amount of sunlight reflected away from Earth, by as much as 45 percent. They also showed that particles larger than one micron (0.000039 inch) occur much more frequently than expected, up to 85 percent of the time. "Many routine measurements are unable to sample large particles, thus they may overlook the residence of many 'Gullivers in the country of Lilliput,' said Dr. Evgueni

4

Research Highlight  

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of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program, U.S. Department of Agriculture (USDA) UV-B Monitoring and Research Program, National Oceanic and Atmospheric...

5

Research Highlight  

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ARM-Funded Algorithms Lead to Marked Improvements in Global Weather Forecast Model Submitter: Morcrette, J. J., European Centre for Medium-Range Weather Forecasts Area of Research:...

6

Research Highlight  

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Research Facility sites. For many years now, vertically pointing ARM instruments in Oklahoma, Alaska, and Manus Island in the Pacific Ocean (in Papua New Guinea) have...

7

Research Highlight  

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ARM Program Achieves Milestone in Global Cloud Properties Research ARM Program Achieves Milestone in Global Cloud Properties Research Submitter: Revercomb, H. E., University of Wisconsin, Madison Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Knuteson, R.O., Best, F.A., Dedecker, R.G., Feltz, W.F., Revercomb, H.E., and Tobin, D.C., 2004: "10 Years of AERI Data from the DOE ARM Southern Great Plains Site," In Proceedings from the Fourteenth ARM Science Team Meeting, U.S. Department of Energy,Washington, D.C. Figure 1 Figure 2 From the unassuming farmlands of north-central Oklahoma comes a milestone for the global climate research community. March 2004 marked the 10-year anniversary for an instrument that now holds the prestigious distinction of providing the longest set of continuous atmospheric interferometer data

8

Research Highlight  

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Spectral Invariant Behavior of Zenith Radiance Around Cloud Edges Observed Spectral Invariant Behavior of Zenith Radiance Around Cloud Edges Observed by ARM SWS Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Knyazikhin, Y., Boston University Chiu, J., University of Reading Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marshak A, Y Knyazikhin, JC Chiu, and WJ Wiscombe. 2009. "Spectral invariant behavior of zenith radiance around cloud edges observed by ARM SWS." Geophysical Research Letters, 36, L16802, doi:10.1029/2009GL039366. (top) Time-wavelength color contour plot of ARM shortwave spectrometer (SWS) spectra measured from 21:35:24 to 21:40:24 UTC on 18 May 2007 at the ARM Climate Research Facility (ACRF) Southern Great Plains (SGP) site in

9

Research Highlight  

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Research Highlights Summaries Modeling the Sensitivity of Convection to Tropospheric Humidity Download a printable PDF Submitter: Del Genio, A. D., NASA Area of Research: General...

10

Research Highlight  

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Micropulse Lidar-Derived Aerosol Optical Depth Climatology at ARM Sites Micropulse Lidar-Derived Aerosol Optical Depth Climatology at ARM Sites Worldwide Download a printable PDF Submitter: Kafle, D. N., University of California, Riverside Coulter, R. L., Argonne National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Kafle DN and RL Coulter. 2013. "Micropulse lidar-derived aerosol optical depth climatology at ARM sites worldwide." Journal of Geophysical Research - Atmospheres, 118(13), 10.1002/jgrd.50536. Vertical profiles of multi-year annually averaged AOD (z) at different ARM sites: SGP, NSA, TWP, GRW, and FKB. Inset plots are the profiles of corresponding relative standard deviation, Srel (z). The corresponding 1-sigma measurement errors are given in horizontal bars.

11

Research Highlight  

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An Application of Linear Programming Techniques to ARM Polarimetric Radar An Application of Linear Programming Techniques to ARM Polarimetric Radar Processing Download a printable PDF Submitter: Giangrande, S., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Giangrande SE, R McGraw, and L Lei. 2013. "An application of linear programming to polarimetric radar differential phase processing." Journal of Atmospheric and Oceanic Technology, , . ACCEPTED. C-band scanning ARM precipitation radar fields of radar reflectivity factor Z and processed specific differential phase KDP for a section of a Midlatitude Continental Convective Clouds Experiment (MC3E) convective event as output from LP methods implemented for the ARM PyART processing suite. Detailed microphysical insights from weather radar systems are in demand

12

Research Highlight  

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Validating Single Column Models with ARM Data Validating Single Column Models with ARM Data Submitter: Somerville, R. C., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Iacobellis, S.F., McFarquhar, G.M., Mitchell, D.L., and Somerville, R.C.J., 2003: "The Sensitivity of Radiative Fluxes to Parameterized Cloud Microphysics," J. Climate 16(18): 2979-2996. Scientists validated the results of both models by comparing them with the solar radiation as measured by the ARM instruments in the same grid cell. Scientists compared predictions of two models (red and blue lines) with measurements taken by ARM instruments (yellow line) at the same location. The models predict the amount and optical properties of clouds and the

13

Research Highlight  

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New Insights Into Deep Convective Core Vertical Velocities Using ARM UHF New Insights Into Deep Convective Core Vertical Velocities Using ARM UHF Wind Profilers Download a printable PDF Submitter: Giangrande, S., Brookhaven National Laboratory Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Giangrande SE, S Collis, J Straka, A Protat, C Williams, and S Krueger. 2013. "A summary of convective core vertical velocity properties using ARM UHF wind profilers in Oklahoma." Journal of Applied Meteorology and Climatology, , . ACCEPTED. ARM UHF profiler observations of reflectivity Z (top) and retrieved storm vertical velocity (bottom); overlaid contours bound regions of updrafts greater than 1.5 m/s. Summary median (diamond), 90th (triangle), and 95th (star) percentile data set properties of Oklahoma convective core updrafts including: (A)

14

Research Highlight  

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Surface Characterization Data for the ARM SGP CART Site Surface Characterization Data for the ARM SGP CART Site Submitter: Cialella, A. T., Brookhaven National Laboratory Area of Research: Surface Properties Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 The ARM External Data Center (XDC) is continually searching for surface characterization data for the ARM CART sites. These data can provide a better understanding of geophysical parameters, allowing for more accurate parameterization within General Circulation Models (GCMs), thus improving their preditive power. Below are a sample of surface characterization data available and their sources: The land use/land cover map above was provided by Oklahoma State University (Figure 1). Eighty-eight covertypes, interpreted from county orthophotos, were generalized to 25 cover types. The resolution of the data is 200m by

15

Research Highlight  

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ARM Measurements Help to Evaluate Radiation Codes Used in Global Modeling ARM Measurements Help to Evaluate Radiation Codes Used in Global Modeling Download a printable PDF Submitter: Oreopoulos, L., NASA Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Oreopoulos L, E Mlawer, J Delamere, T Shippert, J Cole, B Fomin, M Iacono, Z Jin, J Li, J Manners, P Raisanen, F Rose, Y Zhang, MJ Wilson, and WB Rossow. 2012. "The Continual Intercomparison of Radiation Codes: results from Phase I." Journal of Geophysical Research - Atmospheres, 117, doi:10.1029/2011JD016821. The total error of each participating radiation code for all LW (left) and SW (right) cases in the CIRC intercomparison. The identity of each participating code can be found in the paper; codes built due to ARM

16

Research Highlight  

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ARM Science Applications of AERI Measurements: 1997 Progress ARM Science Applications of AERI Measurements: 1997 Progress Submitter: Smith, W. L., NASA - Langley Research Center Area of Research: Radiation Processes Working Group(s): Cloud Modeling Journal Reference: N/A Figure 1. Figs. 1a and 1b contain rms differences from 72 radiosondes for AERI retrievals (blue), GOES retrievals (black), and AERI+GOES retrievals (red) for temperature and mixing ratio respectively during the 1997 Water Vapor IOP. A measure of meteorological the variability of the temperature and water vapor is indicated by the green line. Figs. 1c and 1d show the TPW for the same cases from GOES, AERI+GOES, radiosonde, and the ARM SGP CART microwave radiometer and relative percent differences in TPW amounts. Figure 2. Four consecutive radiosonde, GOES, and AERI+GOES comparisons from

17

Research Highlight  

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Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Berg LK, EI Kassianov, CN Long, and DL Mills. 2011. "Surface summertime radiative forcing by shallow cumuli at the ARM SGP." Journal of Geophysical Research - Atmospheres, 116, D01202, 10.1029/2010JD014593. Histogram of hourly average shortwave CRF (black) and longwave CRF (red) for all periods with shallow cumuli. (a) Hourly average shortwave CRF (circles), binned shortwave CRF (squares); (b) total number of hourly averages for each sky cover bin; and (c) the change in shortwave TED as a function of sky cover for all hours with

18

Research Highlight  

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Validation of CERES-MODIS Cloud Properties Using ARM Data Validation of CERES-MODIS Cloud Properties Using ARM Data Submitter: Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Dong, X., P. Minnis, B. Xi, S. Sun-Mack, and Y. Chen, 2007: Validation of CERES-MODIS stratus cloud properties using ground-based measurements at the DOE ARM SGP site. Accepted by J. Geophys. Res. Wielicki, B. A. and Co-authors (2000), CERES Validation Plan Overview, Release 4, 10/20/00, 58 pp. (Available at http://asd-www.larc.nasa.gov/ceres/validation/ ceresval_r4.0_over.pdf) Figure 1. Time series of surface-derived cloud-base and -top heights and temperatures (1-hour average) and matched MODIS-derived effective cloud heights and temperatures (30-km x 30-km box) for daytime single-layer and

19

Research Highlight  

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Critical Evaluation of the ICARUS Portion of the ISCCP Simulator Using ARM Critical Evaluation of the ICARUS Portion of the ISCCP Simulator Using ARM Data Download a printable PDF Submitter: Mace, G., Utah State University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Mace GG, S Houser, S Benson, SA Klein, and QL Min. 2011. "Critical evaluation of the ISCCP simulator using ground-based remote sensing data." Journal of Climate, 24(6), doi:10.1175/2010JCLI3517.1. Figure 1. Comparison of actual cloud top pressure from ARM remote sensors compared to ISCCP (top) and after the ICARUS algorithm has been used to convert the measured cloud top pressures to ISCCP-like quantities (bottom). Figure 2. Comparison of various measures of optical depth. Top left shows

20

Research Highlight  

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Detangling Convective Oscillations at ARM Tropical Western Pacific Site: Detangling Convective Oscillations at ARM Tropical Western Pacific Site: Manus Submitter: Wang, Y., Department of Geography Long, C. N., Pacific Northwest National Laboratory Mather, J. H., Pacific Northwest National Laboratory Liu, X., Institute of Earth Environment Area of Research: Radiation Processes Working Group(s): Cloud Properties Journal Reference: Wang Y, C Long, J Mather, and X Liu. 2010. "Convective signals from surface measurements at ARM Tropical Western Pacific site: Manus." Climate Dynamics, , doi:10.1007/s00382-009-0736-z. Figure 1: (A) The time series includes the clear-sky shortwave (SW) flux (blue) and the all-sky SW flux (black) over Manus. The green line indicates a 60-day running mean. (B) Wavelet power (WP) of CRF (color shading) with

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Single-Column Modeling, GCM Parameterizations and ARM Data Single-Column Modeling, GCM Parameterizations and ARM Data Submitter: Somerville, R. C., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Randall, D.A., K.-M. Xu, R.C.J. Somerville, and S. Iacobellis, 1996: "Single-Column Models and Cloud Ensemble Models as Links between Observations and Climate Models," J. Climate 9(8)1683-1697. Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 We have developed a Single-Column Model (SCM) to validate GCM cloud-radiation parameterizations against ARM observational data. The SCM is a computationally efficient one-dimensional representation of the atmospheric column overlying a single GCM grid cell. The SCM is integrated

22

Research Highlight  

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Case Closed on Nauru Island Effect Case Closed on Nauru Island Effect Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Long CN and SA McFarlane. 2012. "Quantification of the impact of Nauru Island on ARM measurements." Journal of Applied Meteorology and Climatology, 51(3), 628-636. McFarlane SA, CN Long, and DM Flynn. 2005. "Impact of island-induced clouds on surface measurements: analysis of the ARM Nauru Island Effect Study data." Journal of Applied Meteorology, 44, 1045-1065. Conceptual model of the Nauru Island Effect and production of cloud plume. Approximate ARM Nauru site location is shown on the western side of the

23

Research Highlight  

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Island-Induced Cloud Plumes Influence Tropical Atmospheric Measurements, Island-Induced Cloud Plumes Influence Tropical Atmospheric Measurements, Surface Radiation Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: McFarlane, S.A., Long, C.N., and Flynn, D., Nauru Island Effect Study, Fourteenth ARM Science Team Meeting, March 22 to 26, 2004, Albuquerque, New Mexico. Nauru Island, about 1,200 miles northeast of Papua New Guinea in the western South Pacific, is one of three instrumented island sites that comprise ARM's Tropical Western Pacific locale. A key objective of the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Program is to identify interactions between the processes that determine the radiative properties of an atmospheric column, including

24

Research Highlight  

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ARM Program Research Improves Longwave Radiative Transfer Models ARM Program Research Improves Longwave Radiative Transfer Models Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Radiative Processes Journal Reference: The QME AERI LBLRTM: A closure experiment for downwelling high spectral resolution infrared radiance. D.D. Turner, D.C. Tobin, S.A. Clough, P.D. Brown, R.G. Ellingson, E.J. Mlawer, R.O. Knuteson, H.E. Revercomb, T.R. Shippert, and W.L. Smith. 2004. Journal of Atmospheric Science, 61, 2657-2675. Top panels: Examples of downwelling infrared radiance observed by the AERI for two different clear sky cases with different amounts of water vapor. Bottom panels: Differences between the AERI observations and calculations

25

Research Highlight  

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Downward Longwave Irradiance Uncertainty Under Arctic Atmospheres: Downward Longwave Irradiance Uncertainty Under Arctic Atmospheres: Measurements and Modeling Submitter: Marty, C., Swiss Federal Institute of Snow and Avalanche Research Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marty, C., R. Philipona, J. Delamere, E.G. Dutton, J. Michalsky, K. Stamnes, R. Storvold, T. Stoffel, S.A. Clough, and E.J. Mlawr, Downward longwave irradiance uncertainty under arctic atmospheres: Measurements and modeling, J. Geophys. Res., 108(D12), 4358, doi:10.1029/2002JD002937, 2003. IPASRC-II instruments deployed at ARM's Barrow Station. Members of 11 international institutions converged at the Atmospheric Radiation Measurement (ARM) Program's North Slope of Alaska (NSA) site in Barrow, Alaska, to conduct the Second International Pyrgeometer and

26

Research Highlight  

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ARM Measurements Validate New Satellite Multilayer Cloud Remote Sensing ARM Measurements Validate New Satellite Multilayer Cloud Remote Sensing Method Submitter: Minnis, P., NASA - Langley Research Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Huang, J., P. Minnis, B. Lin, Y. Yi, T.-F. Fan, S. Sun-Mack, and J. K. Ayers, 2006: Determination of ice water path in ice-over-water cloud systems using combined MODIS and AMSR-E measurements. Geophys. Res. Lett., 33, L21801, 10.1029/2006GL027038. Minnis, P., J. Huang, B. Lin, Y. Yi, R. F. Arduini, T.-F. Fan, J. K. Ayers, and G. G. Mace, 2007: Ice cloud properties in ice-over-water cloud systems using TRMM VIRS and TMI data. J. Geophys. Res., 112, D06206, doi:10.1029/2006JD007626. Figure 1. Comparison of the VISST and MCRS retrievals with simultaneous

27

Research Highlight  

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Clouds Get in the Way: How Climate Models Calculate the Effects of Clouds Clouds Get in the Way: How Climate Models Calculate the Effects of Clouds on Earth's Warming Download a printable PDF Submitter: Qian, Y., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Qian Y, CN Long, H Wang, JM Comstock, SA McFarlane, and S Xie. 2012. "Evaluation of cloud fraction and its radiative effect simulated by IPCC AR4 global models against ARM surface observations." Atmospheric Chemistry and Physics, 12(4), doi:10.5194/acp-12-1785-2012. Clouds get in the way of the dawn light, perfectly framing the Raman lidar instrument at the ARM Climate Research Facility Southern Great Plains site. This ground-based laser is a remote sensing instrument used for measuring

28

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Progress in Understanding Water Vapor's Role in Models Progress in Understanding Water Vapor's Role in Models Submitter: Ackerman, T. P., University of Washington Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: N/A Time-height cross sections of water vapor mixing ratio, which is observed directly by the ARM Raman lidar at 10-min and approximately 100 m resolution, and relative humidity for 29 November through 2 December 2002. The bottom panel shows the comparison of the precipitable water vapor observed by the Raman lidar and the collocated microwave radiometer. The time-height cross sections, as well as the integrated field, show the large variability in water vapor that exists over the ARM Southern Great Plains site. After years of sustained research efforts into the accuracy of atmospheric

29

Research Highlight  

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ARM M-PACE Data Used to Evaluate and Improve Arctic Mixed-Phase Clouds ARM M-PACE Data Used to Evaluate and Improve Arctic Mixed-Phase Clouds Simulated in Climate Models Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Xie, S, J Boyle, SA Klein, X Liu, and S Ghan. 2008. "Simulations of Arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE." Journal of Geophysical Research 113, D04211, doi:10.1029/2007JD009225. Time-height cross sections of active remote sensing cloud layer (ARSCL) cloud frequency (a) and modeled cloud fraction (b) CAM3, (c) AM2, and (d) CAM3LIU at Barrow during M-PACE. The unit is %. Liquid fraction as a function of cloud height. (a) UND citation data, (b)

30

Research Highlight  

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ARM Science Applications of AERI Measurements ARM Science Applications of AERI Measurements Submitter: Smith, W. L., NASA - Langley Research Center Area of Research: Radiation Processes Working Group(s): Cloud Modeling Journal Reference: DeSlover, D. H. 1996. Analysis of Visible and Infrared Cirrus Cloud Optical Properties Using High Spectral Resolution Remote Sensing, M.S. Thesis, University of Wisconsin - Madison. Ho, S.-P. 1997. Atmospheric Profiles From Simultaneous Observations of Upwelling and Downwelling Spectral Radiance, Ph.D. Thesis, University of Wisconsin - Madison. Knuteson, R. O., F. A. Best, H. B. Howell, P. Minnett, H. E. Revercomb, W. L. Smith. 1997. "High Spectral Resolution Infrared Observations at the Ocean-Atmosphere Interface in the Tropical Western Pacific using a Marine

31

Research Highlight  

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A Downwelling Infrared Radiance Climatology for the ARM Southern Great A Downwelling Infrared Radiance Climatology for the ARM Southern Great Plains Site Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Gero, J., University of Wisconsin Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Turner DD and PJ Gero. 2011. "Downwelling infrared radiance temperature climatology for the Atmospheric Radiation Measurement Southern Great Plains site." Journal of Geophysical Research - Atmospheres, 116, D08212, doi:10.1029/2010JD015135. The distribution of downwelling 10-micron infrared radiance observed at the SGP site by the AERI from June 1996 to May 2010, separated into all-sky (all samples) and the three distinct sky classifications.

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Research Highlight  

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A New Method for Satellite/Surface Comparisons A New Method for Satellite/Surface Comparisons Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Properties, Radiative Processes Journal Reference: Zhang Y, CN Long, WB Rossow, and EG Dutton. 2010. "Exploiting diurnal variations to evaluate the ISCCP-FD flux calculations and radiative-flux-analysis-processed surface observations from BSRN, ARM, and SURFRAD." Journal of Geophysical Research - Atmospheres, 115, D00K11, 10.1029/2009JD012812. Figure 1: Scatter plot for the column aerosol optical depth (AOD) at 550 nm, measured at the surface (PSO) and used as input for the ISCCP-FD calculations (FD) at 10 ARM/SURFRAD/BSRN stations. The robust linear regression line is also shown.

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Research Highlight  

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Estimating Cloud and Rainfall Parameters in a Vertical Column Above the Estimating Cloud and Rainfall Parameters in a Vertical Column Above the ACRF SGP Site Download a printable PDF Submitter: Matrosov, S. Y., CIRES/NOAA/ESRL/University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: N/A An example of MMCR (a) and WACR (b) ARM radar measurements of a stratiform precipitating event and the corresponding estimates of mean rain rate (c) and cloud IWP and LWP (d). A comprehensive characterization of all hydrometeors in the vertical column is an important task, which is crucial for model parameterization and validation purposes. For many years, the remote sensing efforts within the Atmospheric Radiation Measurement (ARM) Program were focused primarily on either non-precipitating or only weakly-precipitating (e.g., drizzling)

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Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Parameterization of Riming Intensity and Its Impact on Ice Fall Speed Using Parameterization of Riming Intensity and Its Impact on Ice Fall Speed Using ARM Data Download a printable PDF Submitter: Lin, Y., Geophysical Fluid Dynamics Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Lin Y, DJ Leo, and BA Colle. 2011. "Parameterization of riming intensity and its impact on ice fall speed using ARM data." Monthly Weather Review, 139(3), 10.1175/2010MWR3299.1. (a) Scatter plot of the observed Doppler velocities from the MMCR against the ice fall velocities derived using the Heymsfield and Donner (1990) formula. (b) Same as (a), but shows the ice fall velocities derived using Eq. 4 with RMF_para. Annual long-term mean precipitation in mm day-1 for: (a) GPCPv2, (b) CTL

35

Research Highlight  

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Tropical Radiosonde Comparisons May Improve Past and Present Humidity Data Tropical Radiosonde Comparisons May Improve Past and Present Humidity Data Submitter: Westwater, E. R., University of Colorado Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Westwater, E.R., B.B. Stankov, D.Cimini, Y. Han, J.A. Shaw, B.M. Lesht, C.N. Long, 2003, Radiosonde Humidity Soundings and Microwave Radiometers during Nauru99, Journal of Atmospheric and Oceanic Technology, Vol. 21. ARM's Nauru99 campaign provided a rare opportunity to compare original and corrected land-based radiosonde temperature and humidity measurements with those obtained at sea. (ARM photo) Key Contributors: B. B. Stankov, D. Cimini, Y. Han, J. A Shaw, B. M. Lesht, C. N. Long Along the equator in the Central Pacific, DOE's Atmospheric Radiation

36

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling Cloud Forcing in the Tropical West Pacific Modeling Cloud Forcing in the Tropical West Pacific Submitter: Kiehl, J., NCAR Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Petch, J.C., and J.T. Kiehl, 1997: "Investigating Cloud Radiative Forcing in the Tropical West Pacific Using a Single Column Model." In Proceedings from the Seventh ARM Science Team Meeting, U.S. Department of Energy, Washington, D.C. Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Here is summary of the poster "Investigating Cloud Radiative Forcing in the Tropical West Pacific Using a Single Column Model" (Petch and Kiehl) presented at the ARM 7th Science Team Meeting in San Antonio, Texas, March 1997. SCCM3, a single-column version of CCM3, has been forced with TOGA-COARE

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Research Highlight  

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Development of a New Method for Estimating Evapotranspiration Using ARM Development of a New Method for Estimating Evapotranspiration Using ARM Measurements Submitter: Li, Z., University of Maryland Area of Research: Surface Properties Working Group(s): Radiative Processes Journal Reference: Wang, K., P. Wang, Z. Li, M. Cribb, and M. Sparrow (2007). A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature, J. Geophys. Res., 112, D15107, doi:10.1029/2006JD008351. Wang, K., Z. Li, and M. Cribb (2006). Estimation of evaporative fraction from a combination of day and night land surface temperature and NDVI: A new method to determine the Priestley-Taylor parameter. Remote Sensing of Environment, 102, 293-305. Time series of the measured (dot) and predicted ET (line) using equation

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Research Highlight  

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Study Aerosol Humidity Effects Using the ARM Measurements Study Aerosol Humidity Effects Using the ARM Measurements Submitter: Li, Z., University of Maryland Area of Research: Radiation Processes Working Group(s): Aerosol Journal Reference: Jeong, M.-J., Z. Li, E. Andrews, and S.-C. Tsay (2007). Effect of aerosol humidification on the column aerosol optical thickness over the Atmospheric Radiation Measurement Southern Great Plains site, J. Geophys. Res., 112, D10202, doi:10.1029/2006JD007176. (a)-(j) Column-mean aerosol humidification factor as functions of the weighted column mean RH, . The ambient RH at one of the ten level-legs of the In-situ Aerosol Profile (IAP) measurements is replaced with RH equals 99%. Comparison of estimated column R(RH) following six different methods (M1~M6). Gray solid lines and black dashed lines are linear fit and

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Research Highlight  

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Cirrus Cloud Bimodal Size Distributions from ARM Remote Sensing Data Cirrus Cloud Bimodal Size Distributions from ARM Remote Sensing Data Download a printable PDF Submitter: Mace, G., Utah State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Zhao Y, GG Mace, and JM Comstock. 2011. "The occurrence of particle size distribution bimodality in midlatitude cirrus as inferred from ground-based remote sensing data." Journal of the Atmospheric Sciences, 68(6), doi:10.1175/2010JAS3354.1. Figure 1. Frequency distribution of ice water content (top), effective radius (middle), and crystal concentration (bottom) derived from 313 h of cloud property retrievals using the bimodal algorithm. The distributions are shown as a function of the layer-mean temperature shown in the legend.

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Research Highlight  

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(ARM) Program, the CCCP-ARM Parameterization Testbed, or CAPT, is a diagnostic tool for evaluating general circulation models (GCMs) using weather prediction techniques....

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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41

Research Highlight  

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Raman Lidar Observations of Aerosol Humidification Near Clouds Raman Lidar Observations of Aerosol Humidification Near Clouds Submitter: Ferrare, R. A., NASA - Langley Research Center Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Ferrare, R., et al., Evaluation of Daytime Measurements of Aerosols and Water Vapor Made by an Operational Raman Lidar over the Southern Great Plains, J. Geophys. Res., 111, D05S08, doi:10.1029/2005JD005836, 2006. Relative humidity profiles derived from the Raman lidar during the ALIVE 2005 field experiment. Aerosol extinction profiles derived from the Raman lidar during the ALIVE 2005 field experiment. Aerosol humidification factor f(RH) from Raman lidar measured profiles of aerosol extinction and relative humidity. Upgrades to the Raman lidar at the ARM Climate Research Facility (ACRF)

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Research Highlight  

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Evaluation of a New Mixed-Phase Cloud Microphysics Parameterization with Evaluation of a New Mixed-Phase Cloud Microphysics Parameterization with SCAM, CAPT Forecasts and M-PACE Observations Download a printable PDF Submitter: Liu, X., University of Wyoming Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Liu, X, S Xie, and SJ Ghan. 2007. "Evaluation of a new mixed-Phase cloud microphysics parameterization with the NCAR single column climate model (SCAM) and ARM M-PACE observations." Geophysical Research Letters 34, L23712, doi:10.1029/2007GL031446. Xie, S, J Boyle, SA Klein, X Liu and S Ghan. 2008. "Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE." Journal of Geophysical Research, in press.

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Research Highlight  

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Hemispherical Simulations Show Impact of Aerosols on Cloud Reflectivity Hemispherical Simulations Show Impact of Aerosols on Cloud Reflectivity Submitter: Rotstayn, L., Commonwealth Scientific and Industrial Research Organization Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Rotstayn, L., and Y. Liu, Sensitivity of the First Indirect Aerosol Effect to an Increase in Cloud Droplet Spectral Dispersion with Droplet Number Concentration, Journal of Climate: Vol. 16, No. 21, pp.3476-3481, May 2003. Figure 1. Measurements of the relation between the relative dispersion of the cloud droplet spectrum and the cloud droplet number concentration (N). The lower, middle, and upper curves show the parameterizations used in the LOWER, MIDDLE, and UPPER simulations, respectively. A recent study by DOE Atmospheric Radiation Measurement (ARM) Program

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Research Highlight  

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New Method for Three-Dimensional Imaging of Cirrus Clouds New Method for Three-Dimensional Imaging of Cirrus Clouds Submitter: Liou, K., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Liou, K.N, S.C. Ou, Y. Takano, J. Roskovensky, G.G. Mace, K. Sassen, and M. Poellot, 2002: "Remote sensing of three-dimensional inhomogeneous cirrus clouds using satellite and mm-wave cloud radar data," Geophysical Research Letters 29(9): 1360. Figure 1 ARM Data Enables the Development and Verification of a New Method for Three-Dimensional Imaging of Cirrus Clouds to Improve Climate Predictions Cirrus clouds cover about 30% of the Earth's surface. Because ice crystals both reflect sunlight and absorb thermal energy emitted from the earth

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Research Highlight  

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Field Experiments to Improve the Treatment of Radiation in the Mid-to-Upper Field Experiments to Improve the Treatment of Radiation in the Mid-to-Upper Troposphere Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Turner DD and EJ Mlawer. 2010. "The Radiative Heating in Underexplored Bands Campaigns (RHUBC)." Bulletin of the American Meteorological Society, 91, doi:10.1175/2010BAMS2904.1. (a) Atmospheric transmittance at 1 cm-1 resolution in the far-infrared for three atmospheres that are representative of the ARM SGP site, NSA site, and RHUBC-II site in the Chajnantor plateau (CJC). (b) The transmittance

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Research Highlight  

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Probabilistic Approach Useful for Evaluating Cloud System Models Probabilistic Approach Useful for Evaluating Cloud System Models Submitter: Jakob, C., Monash University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Jakob, C., R. Pincus, C. Hannay, and K.M. Xu (2004). Use of cloud radar observations for model evaluation: A probabilistic approach, J. Geophys. Res., 109, D03202, doi:10.1029/2003JD003473. In evaluating climate models, time and space represent key challenges when extrapolating observations into simulations. Researchers supported by DOE's Atmospheric Radiation Measurement (ARM) Program have explored an alternative method based on "point series data" to arrive at model cloud predictions. Point series data are obtained over time through measurements

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Research Highlight  

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Cloud Observations at Niamey During the AMF Deployment Cloud Observations at Niamey During the AMF Deployment Submitter: Kollias, P., McGill University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Kollias, P. and M. A. Miller, 2007: Cloud and Precipitation Observations at Niamey During the 2006 ARM Mobile Facility Deployment. Submitted to Geophysical Research Letters. Daily observed cloud fraction in Niamey during the AMF deployment. The cloud fraction is derived using measurements from the 94-GHz radar, the MPL, and the ceilometer. The vertical resolution is 260 m, and a 5-day temporal filter is applied to the daily cloud fraction profiles. (a) Monthly-averaged cloud and precipitation fraction. The monthly mean and standard deviation of cirrus cloud top (white line), middle cloud tops

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Research Highlight  

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Cloud-Radiation Effects on Sea Ice Loss Cloud-Radiation Effects on Sea Ice Loss Download a printable PDF Submitter: Stephens, G. L., Colorado State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Kay, JE, T L'Ecuyer, A Gettelman, G Stephens, and C O'Dell. "The contribution of cloud and radiation anomalies to the 2007 Arctic sea ice extent minimum." To appear in Geophysical Research Letters. Clouds and downwelling radiation 2007-2006 differences (June 15-Sept 15). a. Total cloud fraction differences based on radar and lidar data. b. Downwelling SW radiative flux difference. c. Downwelling LW radiative flux difference. The Western Arctic Ocean is outlined in brown. ARM ground-based radiation observations at Barrow, Alaska.

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Research Highlight  

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Continuous Clear-Sky Longwave from Surface Measurements Continuous Clear-Sky Longwave from Surface Measurements Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Long, CN, and DD Turner. 2008. "A method for continuous estimation of clear-sky downwelling longwave radiative flux developed using ARM surface measurements." Journal of Geophysical Research 113, D18206, doi:10.1029/2008JD009936. Comparison of clear-sky RT model calculations (black) and our estimates (gray) with detected LW effective clear-sky measurements from the ACRF SGP site from 1 March through 31 May 2003, showing that our LW estimates do as well as detailed model calculations in comparison with actual LW

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Research Highlight  

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Structure of Cirrus Properties and Its Coupling with the State of the Structure of Cirrus Properties and Its Coupling with the State of the Large-Scale Atmosphere Download a printable PDF Submitter: Ivanova, K., Pennsylvania State University Ackerman, T. P., University of Washington Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Ivanova K and TP Ackerman. 2009. "Tracking nucleation-growth-sublimation in cirrus clouds using ARM millimeter wavelength radar observations." Journal of Geophysical Research - Atmospheres, , D06113, 10.1029/2008JD010271. Figure 1. Values of the drift and diffusion coefficients of the Fokker-Planck equation derived from the MMCR radar reflectivity observations. The diffusion coefficient characterizes the small scale, fast

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Research Highlight  

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Evaluate the Diurnal Cycle in the Multiscale Modeling Framework Using Evaluate the Diurnal Cycle in the Multiscale Modeling Framework Using Satellite and ARM Data Download a printable PDF Submitter: Zhang, Y., Lawrence Livermore National Laboratory Klein, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Zhang, Y, SA Klein, C Liu, B Tian, RT Marchand, JM Haynes, RB McCoy, Y Zhang, and TP Ackerman. 2008. "On the diurnal cycle of deep convection, high-level cloud, and upper troposphere water vapor in the Multiscale Modeling Framework." Journal of Geophysical Research 113, D16105, doi:10.1029/2008JD009905. Figure 1: Diurnal anomalies for tropical (left) ocean and (right) land: (top) the precipitation index (PI), high-level cloud (CLD) and upper

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Research Highlight  

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Climate Warming Due to Soot and Smoke? Maybe Not. Climate Warming Due to Soot and Smoke? Maybe Not. Submitter: Penner, J. E., University of Michigan Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Penner, J.E., S.Y. Zhang, and C.C. Chuang, Soot and smoke aerosol may not warm climate, J. Geophys. Res., 108(D21), 4657, doi:10.1029/2003JD003409, 2003. New research results from the Department of Energy's Atmospheric Radiation Measurement (ARM) Program suggest that fossil fuel soot emissions and biomass smoke may actually have a negligible warming effect and, in some cases, may even result in a net cooling effect. Black carbon is the absorbing component of smoke aerosols that result from the incomplete combustion of various fuels, the most significant sources being fossil fuel

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Research Highlight  

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Continuous Dataset of Water Vapor Measurements Throws Water on Assumptions Continuous Dataset of Water Vapor Measurements Throws Water on Assumptions of Cirrus Cloud Formation Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Comstock, J. M., T. P. Ackerman, and D. D. Turner, 2004: Evidence of high ice supersaturation in cirrus clouds using ARM Raman lidar measurements. Geophys. Res. Letters, doi:10.1029/2004GL019705. To illustrate their findings, a continuous nine-hour segment of Raman lidar measurements showed upper tropospheric RHI measurements ranging from 120% near cloud tops and decreasing to about 70% at cloud base. To study the link between water vapor, cirrus cloud formation (homogenous and heterogenous) mechanisms, and their potential climatic impacts,

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Research Highlight  

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Different Strokes for Different Folks-Not Any More, Say Scientists at the Different Strokes for Different Folks-Not Any More, Say Scientists at the UK Met Office Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Morcrette CJ, EJ O'Connor, and JC Petch. 2012. "Evaluation of two cloud parametrization schemes using ARM and Cloud-Net observations." Quarterly Journal Royal Meteorological Society, 138(665), doi:10.1002/qj.969. Integrating different metrics-and their errors and biases-used in weather and climate models may improve predictions by both types of models. What works for the weather models does not for climate models. Devising a common language, which translates into integrating the slew of metrics that the weather and climate science community uses, could be a way to improve

55

Research Highlight  

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Shallow Clouds Make the Case for Remote Sensing Instrumentation Shallow Clouds Make the Case for Remote Sensing Instrumentation Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: McFarlane, S. A., and W. W. Grabowski (2007). Optical properties of shallow tropical cumuli derived from ARM ground-based remote sensing, Geophys. Res. Lett., 34, L06808, doi:10.1029/2006GL028767. In this figure, the lines indicate theoretical calculations of cloud droplet size for clouds with various droplet concentrations in which no mixing occurs. The cloud droplet size shows significant variability with height. Traditionally, observations of air mixing and cloud droplet size come from in situ aircraft probes, which collect data at very high horizontal

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Research Highlight  

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Cloud Phase Determination Using Ground-Based AERI Observations at SHEBA Cloud Phase Determination Using Ground-Based AERI Observations at SHEBA Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Properties Journal Reference: Turner, D.D., S.A. Ackerman, B.A. Baum, H.E. Revercomb, and P. Yang, 2003: "Cloud Phase Determination Using Ground-Based AERI Observations at SHEBA," Journal of Applied Meteorology 42(6):701-715. The SHEBA experiment in Barrow, Alaska used data collected by the ground-based radiation observations from the Atmospheric Emitted Radiance Interferometer (AERI). (Photo Credit: SHEBA Project Office) Key Contributors: S.A. Ackerman, B.A. Baum, H.E. Revercomb, P. Yang, In the frigid environs of the Acrtic, ARM scientists at the North Slope of

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Research Highlight  

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Power in the Vertical: Using Wind Profiler Data to Study Precipitation Power in the Vertical: Using Wind Profiler Data to Study Precipitation Download a printable PDF Submitter: Kollias, P., McGill University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Tridon F, A Battaglia, P Kollias, E Luke, and C Williams. 2013. "Signal post-processing and reflectivity calibration of the Atmospheric Radiation Measurement Program 915 MHz wind profilers." Journal of Atmospheric and Oceanic Technology, 30(6), doi:10.1175/JTECH-D-12-00146.1. Because ARM's wind profilers (foreground) can take vertical as well as horizontal measurements, the instruments can be used with appropriate processing and calibration to help study rainfall. For more than two decades, radar wind profilers of the U.S. Department of

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Research Highlight  

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Seasonal Case Studies Reveal Significant Variance in Large-Scale Forcing Seasonal Case Studies Reveal Significant Variance in Large-Scale Forcing Data Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Xie, S, R.T Cederwall, M. Zhang, and J.J. Yio, Comparison of SCM and CSRM forcing data derived from the ECMWF model and from objective analysis at the ARM SGP site, J. Geophys. Res., 108(D16), 4499, doi:10.1029/2003JD003541, 2003. Observed (left) and ECMWF-derived (right) forcing fields of time-height distributions of the derived (top) vertical velocity, (middle) total advective tendency and temperature, and (bottom) total advective tendency of moisture during the selected strong precipitation period during summer

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Research Highlight  

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New Surface Albedo Data Set Enables Improved Radiative Transfer New Surface Albedo Data Set Enables Improved Radiative Transfer Calculations Download a printable PDF Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: McFarlane SA, K Gaustad, E Mlawer, C Long, and J Delamere. 2011. "Development of a high spectral resolution surface albedo product for the ARM Southern Great Plains central facility." Atmospheric Measurement Techniques, 4, 1713-1733. Time series of daily percent vegetation derived from MFR measurements for (top) 2001-2008 at 10-m tower, which is located over an unmanaged pasture; (middle) 2001-2004 at 25-m tower, which is located over a managed field; and (bottom) 2005-2008 at 25-m tower. The different seasonal cycles at the

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Research Highlight  

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Estimating the Ice Crystal Enhancement Factor in the Tropics Estimating the Ice Crystal Enhancement Factor in the Tropics Download a printable PDF Submitter: Zeng, X., NASA - Goddard Space Flight Center Tao, W., NASA - Goddard Space Flight Center Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Zeng X, W Tao, T Matsui, S Xie, S Lang, M Zhang, DO Starr, and X Li. 2011. "Estimating the ice crystal enhancement factor in the tropics." Journal of the Atmospheric Sciences, 68(7), doi:10.1175/2011JAS3550.1. Figure 1. Twenty-day mean vertical profiles of IWC from the ARM-SGP observations and the three simulations using low, moderate, and high ice crystal concentrations, respectively. Figure 2. Eight-day mean vertical profiles of IWC from the TWP-ICE

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Integrated Water Vapor and Cloud Liquid Water at MCTEX Integrated Water Vapor and Cloud Liquid Water at MCTEX Submitter: Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Integrated water vapor and cloud liquid water measurements were obtained during the Maritime Continent Thunderstorm Experiment (MCTEX) by Eugene Clothiaux and Tom Ackerman of Penn State University using an ARM microwave radiometer. The radiometer was deployed at Pularumpi, Melville Island (11.55 S, 130.56 E) off the north coast of Australia for November-December 1995. Time series of these results are shown in Figure 1. Time series of integrated or "precipitable" water vapor (PWV) and liquid

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Research Highlight  

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Addressing the "Light Precipitation Problem" in the ECMWF Global Model Addressing the "Light Precipitation Problem" in the ECMWF Global Model Download a printable PDF Submitter: Ahlgrimm, M., European Centre for Medium-Range Weather Forecasts Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Ahlgrimm M and R Forbes. 2013. "Improving the representation of low clouds and drizzle in the ECMWF model based on ARM observations from the Azores." Monthly Weather Review, , . ACCEPTED. Monthly mean cloud and precipitation occurrence from observations (red), the control version of the single column model (green) and the SCM experiment (blue). (a) Total cloud occurrence. (b) Low cloud (solid) and deep boundary layer (dashed) cloud occurrence. (c) Precipitation occurrence

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Research Highlight  

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Data from DOE Atmospheric Radiation Measurement Program Allows Evaluation Data from DOE Atmospheric Radiation Measurement Program Allows Evaluation of Surface Models Submitter: Robock, A., Rutgers University Area of Research: Surface Properties Working Group(s): Cloud Modeling Journal Reference: Robock, A., Luo, L., Wood, E. F., Wen, F., Mitchell, K. E., Houser, P. R., Schaake, J. C., Lohmann, D., Cosgrove, B., Sheffield, J., Duan, Q., Higgins, R. W., Pinker, R. T., Tarpley, J. D., Basara, J. D., Crawford, K. C., Evaluation of the North American Land Data Assimilation System over the Southern Great Plains during the warm season, J. Geophys. Res., 108(D22), 8846, doi:10.1029/2002JD003245, 2003 An example of the model discrepancies is shown in a comparison of monthly mean diurnal cycle data from July 1999 at the ARM Southern Great Plains

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Observational Evidence of Changes in Water Vapor, Clouds, and Radiation Observational Evidence of Changes in Water Vapor, Clouds, and Radiation Submitter: Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Dong, X., B. Xi, and P. Minnis, 2006: Observational Evidence of Changes in Water vapor, Clouds, and Radiation at the ARM SGP site. Geophys. Res. Lett., 33, L19818,doi:10.1029/2006GL027132. Figure 1. This plot shows that atmospheric precipitable water vapor and downwelling infrared radiation decreased, but solar radiation increased at the SGP site from 1997 to 2004. The amount of water vapor, the dominant greenhouse gas, has a greater effect on infrared radiation than on solar. Figure 2. This plot shows that solar radiation at the surface increased

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Vertical Air Motion Measurements in Large-Scale Precipitation Vertical Air Motion Measurements in Large-Scale Precipitation Download a printable PDF Submitter: Giangrande, S., Brookhaven National Laboratory Luke, E., Brookhaven National Laboratory Kollias, P., McGill University Area of Research: Vertical Velocity Working Group(s): Cloud Properties Journal Reference: Giangrande SE, EP Luke, and P Kollias. 2010. "Automated retrievals of precipitation parameters using non-Rayleigh scattering at 95-GHz." Journal of Atmospheric and Oceanic Technology, 27(9), 10.1175/2010JTECHA1343.1. Time-height mapping of the retrieved vertical air motion for the 1 May 2007 event at SGP. Simultaneous measurements of vertical air motion and raindrop size distribution parameters in precipitation are challenging. The ARM W-band radars (95-GHz), despite being used primarily for cloud sensing, offer

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Research Highlight  

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Data from Saharan Dust Storm Reveal Model Deficiencies Data from Saharan Dust Storm Reveal Model Deficiencies Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Slingo, A., T.P. Ackerman, R.P. Allan, E.I. Kassianov, S.A. McFarlane, G.J. Robinson, J.C. Barnard, M.A. Miller, J.E. Harries, J.E. Russell , S. Dewitte, 2006: Observations of the impact of a major Saharan dust storm on the Earth's radiation budget. Geophys. Res. Lett., 33, L24817, doi:10.1029/2006GL027869. In March 2006, the ARM Mobile Facility recorded the strongest Saharan dust storm to reach the Niamey area in two years. The storm lasted several days, and visibility was reduced to 15 percent of normal. Observations (solid lines and star symbols) and results from two models

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Research Highlight  

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Sub-Grid Scale Cloud Variability Affects Vertical Structure of Clouds and Sub-Grid Scale Cloud Variability Affects Vertical Structure of Clouds and Radiative Heating Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: McFarlane, S. A., J. H. Mather, and T. P. Ackerman (2007), Analysis of tropical radiative heating profiles: A comparison of models and observations, J. Geophys. Res., 112, D14218, doi:10.1029/2006JD008290. Comparison of the distributions of cloud condensate for the ACRF TWP site at Manus using a) retrievals from the ACRF remote sensors, b) the CAM, c) all MMF columns, and d) MMF columns that do not contain precipitation. Note that the ARM observations do not include precipitation. Each panel consists

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A Comparison of Integrated Water Vapor Sensors: WVIOP-96 A Comparison of Integrated Water Vapor Sensors: WVIOP-96 Submitter: Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 The 1996 Water Vapor Intensive Operations Period (WVIOP-96) was conducted at the SGP CART central facility in September in order to assess the skill of a wide variety of sensors in measuring atmospheric water vapor. Here we present a comparison of radiometric brightness temperatures (TB) and vertically-integrated or "precipitable" water vapor (PWV) amounts derived from eight collocated ARM microwave radiometers, as well as microwave radiometers from the NOAA Environmental Technology Laboratory

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Research Highlight  

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Five-Year Statistics of Shallow Clouds at the ACRF SGP Site Five-Year Statistics of Shallow Clouds at the ACRF SGP Site Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Kassianov, E., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Berg, LK, and EI Kassianov. 2008. "Temporal variability of fair-weather cumulus statistics at the ARM SGP site." Journal of Climate 21, 3344-3358. Figure 1. Five-year mean ARSCL VAP values of cloud fraction (black), cloud-base height (orange circles), cloud-top height (red), cloud thickness (blue), and cloud-chord length (green), and their average daily bias for each year (B) and low-altitude moisture (C). While fair-weather clouds (FWC) are small in size, they are ubiquitous,

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Evaluation of Microwave Radiometer Performance in Alaska Evaluation of Microwave Radiometer Performance in Alaska Submitter: Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties, Radiative Processes Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 In order to determine the extent to which the ARM microwave radiometers would need to be modified to accommodate Arctic operations, an instrument designed for the Tropical Western Pacific was deployed at the University of Alaska at Fairbanks and continuously operated from 14 December 1995 through 20 June 1996 with the assistance of North Slope Site Scientist Knut Stamnes and Deputy Site Scientist Abdul Alkezweeny. Time series plots of the data are presented in Figure 1.

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A Consistency Analysis of ARESE Aircraft Measurements A Consistency Analysis of ARESE Aircraft Measurements Submitter: Li, Z., University of Maryland Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Li, Z., A.P. Trishchenko, H.W. Barker, G.L. Stephens, and P. Partain, 1999: "Analyses of Atmospheric Radiation Measurement (ARM) program's Enhanced Shortwave Experiment (ARESE) multiple data sets for studying cloud absorption," J. of Geophys. Res. 104(D16):19127-19134 Figure 1. Comparisons of TOA albedos inferred from measurements made by TSBR, GOES-8, and SSP. Two sets of GOES-based estimates are shown for an aircraft along the Egrett's flight path: one for an aircraft skimming the cloud tops (dotted lines); and another for one at 14 km (thin solid lines).

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measurements because it represents regions of historical conversion of prairie to agriculture, it is a heterogeneous landscape with a variety of land uses, and the ARM...

73

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their retrievals: microwave emission from the cloud, interpreted using the standard ARM retrieval method ("Microwave emission v1") and an improved microwave method that includes...

74

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at the Convective and Orographically Induced Precipitation Study (COPS) and African Monsoon Multidisciplinary Analysis (AMMA) ARM Mobile Facility (AMF) deployments, and at the...

75

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Effective Diameter in Ice Clouds and Its Application to Terrestrial Radiation Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Area of Research:...

76

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Secondary Organic Aerosol (SOA) and Sulfate Download a printable PDF Submitter: Martin, S. T., Harvard University Area of Research: Aerosol Properties Working Group(s):...

77

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K-Distribution Method for a SW Radiative Transfer Model Submitter: Ackerman, T. P., University of Washington Area of Research: General Circulation and Single Column Models...

78

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Status and Analysis Results: 1998 Submitter: Revercomb, H. E., University of Wisconsin, Madison Area of Research: Radiation Processes Working Group(s): Radiative Processes...

79

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A., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference:...

80

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A., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud-Aerosol-Precipitation Interactions...

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
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81

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Small Ice Crystals on Ice Sedimentation Rates in Cirrus Clouds and GCM Simulations Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Rasch, P., Pacific...

82

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Predicting Arctic Sea Ice Loss Download a printable PDF Submitter: Liu, X., University of Wyoming Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s):...

83

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Characterizing the Co-Existence of Water and Ice in Arctic Clouds Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud DistributionsCharacterizations...

84

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Nailing Down Ice in a Cloud Model Download a printable PDF Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s):...

85

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On Thin Ice: Retrieval Algorithms for Ice Clouds Examined for Improvements Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions...

86

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The Brass Ring of Climate Modeling Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s):...

87

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Into Radiative Transfer in Cloudy Conditions Submitter: Min, Q., State University of New York, Albany Area of Research: Cloud DistributionsCharacterizations Working Group(s):...

88

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Altering Cloud Microphysics and Precipitation Submitter: Min, Q., State University of New York, Albany Area of Research: Aerosol Properties Working Group(s): Aerosol Journal...

89

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Pollution + Storm Clouds Warmer Atmosphere Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation...

90

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Many Forecast Errors Are Climate Errors Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column...

91

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Black Carbon Aerosols and the Third Polar Ice Cap Submitter: Menon, S., Lawrence Berkeley National Laboratory Area of Research: General Circulation and Single Column Models...

92

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Effects of Relative Humidity on Aerosols-Implications for Climate Submitter: Lacis, A. A., NASA - Goddard Institute for Space Studies Area of Research: Aerosol Properties Working...

93

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Chemical Diffusivity and Viscosity of Secondary Organic Aerosols Download a printable PDF Submitter: Zelenyuk-Imre, A., Pacific Northwest National Laboratory Area of Research:...

94

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A Dance of Aerosols Download a printable PDF Submitter: Song, C., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle...

95

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Characterization of Atmospheric Aerosols Using MFRSR Measurements Download a printable PDF Submitter: Alexandrov, M. D., Columbia University Area of Research: Aerosol Properties...

96

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Scientists then measured how the particles were distributed in the vapor using a mobility scanner that determined particle sizes. In the other approach, researchers...

97

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Contributor to Low-Level Cloud Reflectivity Submitter: Penner, J. E., University of Michigan Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference:...

98

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Stratocumulus Clouds Download a printable PDF Submitter: Penner, J. E., University of Michigan Lee, S., University of Michigan Area of Research: Aerosol Properties Working...

99

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and validation of a black carbon mixing state resolved three-dimensional model: Aging processes and radiative impact." Journal of Geophysical Research - Atmospheres, ,...

100

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Arctic Clouds Download a printable PDF Submitter: Earle, M., Environment Canada Liu, P., Environment Canada Area of Research: Cloud DistributionsCharacterizations...

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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101

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Cloud Boundary Detection and Analysis from Micro Pulse Lidar Submitter: Spinhirne, J., University of Arizona Area of Research: Cloud DistributionsCharacterizations Working...

102

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Mexico City Carbon-Containing Particle Composition Simulated Download a printable PDF Submitter: Zaveri, R., Pacific Northwest National Laboratory Area of Research: Radiation...

103

Research Highlight  

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Lord of the Wings: Elevated Particles a Rising Star Lord of the Wings: Elevated Particles a Rising Star Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Kassianov E, C Flynn, J Redemann, B Schmid, PB Russell, and A Sinyuk. 2012. "Initial assessment of the Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR)-based aerosol retrieval: Sensitivity study." Atmosphere, 3, doi:10.3390/atmos3040495. The 4STAR instrument. The 4STAR instrument (inset) is installed through the upper hull of the PNNL G-1 research aircraft, for in-flight sun-tracking and sky light-scanning. Researchers at Pacific Northwest National Laboratory, in collaboration with colleagues at NASA Ames Research Center, developed a next-generation

104

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Improved Daytime Precipitable Water Vapor from Vaisala Radiosonde Humidity Improved Daytime Precipitable Water Vapor from Vaisala Radiosonde Humidity Sensors Download a printable PDF Submitter: Cady-Pereira, K. E., Atmospheric and Environmental Research, Inc. Mlawer, E. J., Atmospheric & Environmental Research, Inc. Turner, D. D., National Oceanic and Atmospheric Administration Shephard, M. W., Atmospheric and Environmental Research, Inc. Clough, S. A., Atmospheric and Environmental Research, Inc. Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Radiative Processes Journal Reference: Cady-Pereira, K, M Shephard, E Mlawer, D Turner, S Clough, and T Wagner. 2008. "Improved daytime column-integrated precipitable water vapor from Vaisala radiosonde humidity sensors." Journal of Atmospheric and Oceanic Technology doi: 10.1175/2007JTECHA1027.1.

105

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M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, G de Boer, G Feingold, J Harrington, M Shupe, and...

106

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Del Genio, A. D., NASA Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Del Genio AD, J Wu, and Y Chen. 2012. "Characteristics of...

107

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How to Catch Aerosols in the Act Download a printable PDF Submitter: Wang, M., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life...

108

Research Highlight  

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Ice Nucleation Link to Aerosols for Global Models Download a printable PDF Submitter: DeMott, P. J., Colorado State University Liu, X., University of Wyoming Area of Research:...

109

Research Highlight  

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Modified Climate Model Better Replicates Global Rainfall Modified Climate Model Better Replicates Global Rainfall Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Song X, GJ Zhang, and JF Li. 2012. "Evaluation of microphysics parameterization for convective clouds in the NCAR Community Atmosphere Model CAM5." Journal of Climate, 25(24), doi:10.1175/JCLI-D-11-00563.1. Rainfall in the tropics. By improving an existing, sophisticated, global climate model, scientists can now simulate cloud and rainfall more accurately. Supported by the U.S. Department of Energy's Atmospheric System Research program, a research team from the Scripps Institution of Oceanography and

110

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Improving Water Vapor Continuum Absorption and Its Impact on a GCM Improving Water Vapor Continuum Absorption and Its Impact on a GCM Simulation Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, A Merrelli, D Vimont, and EJ Mlawer. 2012. "Impact of modifying the longwave water vapor continuum absorption model on community Earth system model simulations." Journal of Geophysical Research, 117, D04106, doi:10.1029/2011JD016440. The mean difference profiles (experiment minus control) for clear-sky longwave radiative heating (QRLC); shortwave clear-sky radiative heating (QRSC); the longwave cloud radiative forcing (QRLCF); the precipitation

111

Research Highlight  

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Chinese Researchers Report Reliable Method for Monitoring Soil Moisture Chinese Researchers Report Reliable Method for Monitoring Soil Moisture Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: Sun L, R Sun, XW Li, SL Liang, and RH Zhang. 2012. "Monitoring surface soil moisture status based on remotely sensed surface temperature and vegetation index information." Agricultural and Forest Meteorology, 166, doi:10.1016/j.agrformet.2012.07.015. Shown here is the SGP Central Facility, where the most comprehensive instrument suite is hosted. Moisture trapped in soil provides water necessary for vegetation and crops, but how much of that moisture makes its way into the atmosphere and influences regional meteorology? The poor understanding of the role of soil

112

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Putting the Pieces Together Putting the Pieces Together Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Fan J, S Ghan, M Ovchinnikov, X Liu, P Rasch, and A Korolev. 2011. "Representation of arctic mixed-phase clouds and the Wegener-Bergeron-Findeisen process in climate models: Perspectives from a cloud-resolving study." Journal of Geophysical Research - Atmospheres, 116, D00T07, doi:10.1029/2010JD015375. PNNL's Arctic mixed-phase cloud research was augmented with field observations from the 2008 Indirect and Semi-Direct Aerosol Campaign (ISDAC) in Northern Alaska. Photo courtesy of A. Korolev, Environment Canada. Vertical cross sections of (a) the vertical velocity (the contour lines)

113

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Parameterizing the Ice Fall Speed in Climate Models: Results from TC4 and Parameterizing the Ice Fall Speed in Climate Models: Results from TC4 and ISDAC Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Mishra, S., NOAA - Coop. Inst. for Mesoscale Meteorological Studies Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mitchell DL, S Mishra, and RP Lawson. 2011. "Representing the ice fall speed in climate models: Results from Tropical Composition, Cloud and Climate Coupling (TC4) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC)." Journal of Geophysical Research - Atmospheres, 116, D00T03, doi:10.1029/2010JD015433. Relationship between De and Vm for all tropical cirrus cloud types (solid

114

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Classifying Cloud Phase Classifying Cloud Phase Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Shupe, MD. 2007. "A ground-based multisensory cloud phase classifier." Geophysical Research Letters 34, L22809, doi:10.1029/2007GL031008. Observations of (a) lidar backscatter, (b) lidar depolarization ratio, (c) radar reflectivity, (d) radar mean Doppler velocity, (e) radar Doppler spectrum width, (f) microwave radiometer-derived liquid water path, and (g) the resulting multisensor cloud-phase classification mask. Cloud phase identification is a necessary prerequisite to performing cloud property retrievals from remote sensor measurements. Most retrieval

115

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Entrainment Rate in Shallow Cumuli: Probabilistic Distribution and Entrainment Rate in Shallow Cumuli: Probabilistic Distribution and Dependence on Dry Air Sources Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Lu, C., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Lu C, Y Liu, S Niu, and AM Vogelmann. 2012. "Lateral entrainment rate in shallow cumuli: Dependence on dry air sources and probability density functions." Geophysical Research Letters, 39, L20812, doi:10.1029/2012GL053646. Probability density functions (PDFs) of entrainment rate (λ) for different dry air sources in eight cumulus flights. The rate at which cloud engulfs dry air (entrainment rate) has proven to be one of the strongest controls on the climate sensitivity of climate models;

116

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The Short and the Long of Storms: Tracing a Deep Convective System's Life The Short and the Long of Storms: Tracing a Deep Convective System's Life in the Midlatitude Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Feng Z, X Dong, B Xi, S McFarlane, A Kennedy, B Lin, and P Minnis. 2012. "Life cycle of midlatitude deep convective systems in a Lagrangian framework." Journal of Geophysical Research - Atmospheres, 117(D23), D23201, doi:10.1029/2012JD018362. The life cycle of a convective system tracked by the automated tracking algorithm in the study domain. Time increases from the top left to the bottom right, and each image represents an hour. The colors represent regions given by the hybrid classification.

117

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Precipitation Forecast Improved with a New Convective Triggering Mechanism Precipitation Forecast Improved with a New Convective Triggering Mechanism Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Zhang, M., Stony Brook University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Xie, S, and M Zhang. 2000. "Impact of the convective triggering function on single-column model simulations." Journal of Geophysical Research 105: 14983-14996. Six-hour accumulated precipitation valid at 12 UTC 18 July 2005. (a) Radar Observation, (b) DCAPE, (c) GSM without the DCAPE trigger, and (d) GSM with the DCAPE trigger. Considerable improvement of precipitation forecast is obtained by the GSM with the new trigger compared to the radar observation.

118

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Strong Impacts of Vertical Velocity on Cloud Microphysics and Implications Strong Impacts of Vertical Velocity on Cloud Microphysics and Implications for Aerosol Indirect Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Lu, C., Brookhaven National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Lu C, Y Liu, S Niu, and AM Vogelmann. 2012. "Observed impacts of vertical velocity on cloud microphysics and implications for aerosol indirect effects." Geophysical Research Letters, 39, L21808, doi:10.1029/2012GL053599. Joint probability density functions (PDF) of relative dispersion (ε) versus vertical velocity (w) along horizontal aircraft legs for each cumulus flight (date given in legend). The red lines denote weighted least

119

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Weather and Atmospheric Overview During Study of Natural and Urban Weather and Atmospheric Overview During Study of Natural and Urban Emissions (CARES) Download a printable PDF Submitter: Fast, J. ., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Fast JD, WI Gustafson, LK Berg, WJ Shaw, M Pekour, M Shrivastava, JC Barnard, RA Ferrare, CA Hostetler, JA Hair, M Erickson, BT Jobson, B Flowers, MK Dubey, S Springston, RB Pierce, L Dolislager, J Pederson, and RA Zaveri. 2012. "Transport and mixing patterns over central California during the Carbonaceous Aerosol and Radiative Effects Study (CARES)." Atmospheric Chemistry and Physics, 12, 1759-1783. Aircraft sampling flight patterns are shown over central California in this aerial overlay. Researchers collected and analyzed measurements from

120

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Ice Heating Up Cold Clouds Ice Heating Up Cold Clouds Download a printable PDF Submitter: Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Ovchinnikov M, A Korolev, and J Fan. 2011. "Effects of ice number concentration on dynamics of a shallow mixed-phase stratiform cloud." Journal of Geophysical Research - Atmospheres, 116, D00T06, doi:10.1029/2011JD015888. The mighty cloud ice crystal appears deceptively delicate but has the power to tip the balance between ice and water in Arctic clouds. This image of an ice crystal was obtained from a Cloud Particle Imager during ISDAC. The imager was mounted on aircraft flying through clouds at a speed of 100 m/s.

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

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Critical Role of Cloud Drop Effective Radius >14 Micron Radius in Rain Critical Role of Cloud Drop Effective Radius >14 Micron Radius in Rain Initiation Download a printable PDF Submitter: Rosenfeld, D., The Hebrew University of Jerusalem Wang, H., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Rosenfeld D, H Wang, and PJ Rasch. 2012. "The roles of cloud drop effective radius and LWP in determining rain properties in marine stratocumulus." Journal of Geophysical Research - Atmospheres, 39, doi:10.1029/2012GL052028. The dependence of rain rate on cloud drop effective radius (re) near cloud top. The color scale is for the median value of column maximum rain rate in each joint bin of CWP-re (cloud liquid water path and cloud-top re).

122

Research Highlight  

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The Apparent Bluing of Aerosols Near Clouds The Apparent Bluing of Aerosols Near Clouds Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marshak, A, G Wen, JA Coakley, LA Remer, NG Loeb, and RF Cahalan. 2008. "A simple model of the cloud adjacency effect and the apparent bluing of aerosols near clouds." Journal of Geophysical Research 113, D14S17, doi: 10.1029/2007JD009196. (upper panel) A schematic two-layer model of a broken cloud field and Rayleigh scatterers. (lower panel) An example of the Poisson distribution of broken cloud fields with cloud fraction Ac = 0.3 for a 10 by 10 km area. For a cloud vertical thickness of 1 km, the left lower panel has cloud

123

Research Highlight  

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Improving the Treatment of Radiation in Climate Models Improving the Treatment of Radiation in Climate Models Download a printable PDF Submitter: Delamere, J. S., Tech-X Corporation Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Delamere JS, SA Clough, VH Payne, EJ Mlawer, DD Turner, and RR Gamache. 2010. "A far-infrared radiative closure study in the Arctic: Application to water vapor." Journal of Geophysical Research - Atmospheres, 115, D17106, 10.1029/2009JD012968. The mean AERI-ER radiances for a select set of cloud-free cases at NSA in 2007 are presented in the top panel. The bottom panel presents mean spectral differences between the measurements and model calculations. The red line demonstrates the differences when using the pre-RHUBC version of

124

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Global Dimming and Brightening: an Update Beyond 2000 Global Dimming and Brightening: an Update Beyond 2000 Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Wild, M., Institute for Atmospheric and Climate Science - ETH Zurich Truessel, B., Institute for Atmospheric and Climate Science - ETH Zurich Ohmura, A., Swiss Federal Institute of Technology Koenig-Langlo, G., Alfred Wegener Institute Dutton, E. G., NOAA/OAR/ESRL Tsvetkov, A. V., World Radiation Data Centre Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Wild M, B Trüssel, A Ohmura, CN Long, G König-Langlo, EG Dutton, and A Tsvetkov. 2009. "Global dimming and brightening: An update beyond 2000." Journal of Geophysical Research - Atmospheres, 114, D00D13, 10.1029/2008JD011382.

125

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Cloud Susceptibility Measures Potential Cloud Sensitivity to First Aerosol Cloud Susceptibility Measures Potential Cloud Sensitivity to First Aerosol Indirect Effect Download a printable PDF Submitter: Oreopoulos, L., NASA Platnick, S., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Platnick, S, and L Oreopoulos. 2008. "Radiative susceptibility of cloudy atmospheres to droplet number perturbations: 1. Theoretical analysis and examples from MODIS." Journal of Geophysical Research doi:10.1029/2007JD009654, in press. Oreopoulos, L., and S. Platnick. 2008. Radiative susceptibility of cloudy atmospheres to droplet number perturbations: 2. Global analysis from MODIS, J. Geophys. Res., doi:10.1029/2007JD009655, in press. Theoretical calculations with a shortwave broadband radiative transfer

126

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The Mixing State of Carbonaceous Aerosol Particles in Northern and Southern The Mixing State of Carbonaceous Aerosol Particles in Northern and Southern California Measured During CARES and CalNex Download a printable PDF Submitter: Zaveri, R., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Cahill JF, K Suski, JH Seinfeld, RA Zaveri, and KA Prather. 2012. "The mixing state of carbonaceous aerosol particles in Northern and Southern California measured during CARES and CalNex 2010." Atmospheric Chemistry and Physics, 12, doi:10.5194/acp-12-10989-2012. The CARES campaign took place in Sacramento in order to sample the city's urban plume. Photo courtesy of Jason Tomlinson. Researchers, including DOE scientists working at Pacific Northwest National

127

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The Surprisingly Large Contribution of Small Marine Clouds to Cloud The Surprisingly Large Contribution of Small Marine Clouds to Cloud Fraction and Reflectance Download a printable PDF Submitter: Oreopoulos, L., NASA Feingold, G., NOAA - Earth System Research Laboratory Koren, I., Weizmann Institute of Science Remer, L., NASA - GSFC, Laboratory for Atmospheres Area of Research: Clouds with Low Optical [Water] Depths (CLOWD) Working Group(s): Cloud Properties Journal Reference: Koren, I, L Oreopoulos, G Feingold, LA Remer, and O Altaratz. 2008. "How small is a small cloud?" Atmospheric Chemistry and Physics Journal, in press Cloud mask for a sparse cumulus cloud field as inferred by using the same threshold at four different spatial resolutions. The upper-left panel is for the original Landsat resolution and the lower-right panel is for a

128

Research Highlight  

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Burning on the Prairies Burning on the Prairies Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Fischer ML, MS Torn, DP Billesbach, G Doyle, B Northup, and SC Biraud. 2012. "Carbon, water, and heat flux responses to experimental burning and drought in a tallgrass prairie." Agricultural and Forest Meteorology, 166, doi:10.1016/j.agrformet.2012.07.011. Pasture burning during the beginning of the experiment at the USDA Grazing Lands Research Laboratory in March 2005. What does it mean for the carbon cycle? The deep drought in the United States that fueled wildfires and damaged crops in 2012 has now continued well into 2013. However, long before the droughts and fires wreaked havoc, a team of

129

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Wildfires Lead to More Warming Than Climate Models Predict, a New Mexico Wildfires Lead to More Warming Than Climate Models Predict, a New Mexico Fire Study Reports Download a printable PDF Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: China S, C Mazzoleni, K Gorkowski, AC Aiken, and MK Dubey. 2013. "Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles." Nature Communications, 4, 2122, doi:10.1038/ncomms3122. La Conchas fire, New Mexico Analyzing fresh, carbon-rich aerosols in smoke from the largest wildfire in New Mexico (2011), scientists report large impacts of wildfires on climate. A research study, published last week in Nature Communications, has revealed that smoke from wildfires, or biomass-burning events, contains

130

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Remote Sensing of Cirrus Cloud Vertical Size Profile Using MODIS Data Remote Sensing of Cirrus Cloud Vertical Size Profile Using MODIS Data Download a printable PDF Submitter: Ou, S., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Wang X, KN Liou, SS Ou, GG Mace, and M Deng. 2009. "Remote sensing of cirrus cloud vertical size profile using MODIS data." Journal of Geophysical Research - Atmospheres, 114, D09205, doi:10.1029/2008JD011327. (a) MODIS true color composite images for March 6, 2001 at 1736UTC, (b) retrieved Τc; (c) retrieved Dt for selected domain; (d) retrieved Db for selected domain; (e) scatter plot for retrieved Τc versus MODIS Τc for selected domain; (f) scatter plot for retrieved De versus MODIS De for

131

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Millimeter Wave Scattering from Ice Crystals and Their Aggregates Millimeter Wave Scattering from Ice Crystals and Their Aggregates Download a printable PDF Submitter: Botta, G., Pennsylvania State University Verlinde, J., Pennsylvania State University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Botta G, K Aydin, J Verlinde, A Avramov, A Ackerman, A Fridlind, M Wolde, and G McFarquhar. 2011. "Millimeter wave scattering from ice crystals and their aggregates: Comparing cloud model simulations with X- and Ka-band radar measurements." Journal of Geophysical Research - Atmospheres, 116, D00T04, doi:10.1029/2011JD015909. Observational data sets are needed to drive and evaluate results from cloud-resolving model (CRM) simulations in order to improve parameterizations of the physical processes. Radar is one of the few

132

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Remote Sensing of Mineral Dust Using AERI Remote Sensing of Mineral Dust Using AERI Download a printable PDF Submitter: Hansell, R. A., University of California, Los Angeles Area of Research: Radiation Processes Working Group(s): Aerosol Journal Reference: Hansell R, KN Liou, SC Ou, SC Tsay, Q Ji, and JS Reid. 2008. "Remote sensing of mineral dust aerosol using AERI during the UAE2: A modeling and sensitivity study." Journal of Geophysical Research - Atmospheres, 113, D18202, doi:10.1029/2008JD010246. BT sensitivity to dust optical depth at 962 cm-1 with markers denoting locations of AERI subbands 1-17 from left to right. (a) Volz compact hexagon model spectra for four optical depths with best fit AERI spectrum. (b) Same as (a) but for a kaolinite/50% calcium carbonate mixturedust model.

133

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The Evolution and Distribution of Water Vapor and Microphysical Properties The Evolution and Distribution of Water Vapor and Microphysical Properties in Cirrus Clouds Download a printable PDF Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Comstock JM, R Lin, DO Starr, and P Yang. 2008. "Understanding ice supersaturation, particle growth, and number concentration in cirrus clouds." Journal of Geophysical Research - Atmospheres, 113, D23211, doi:10.1029/2008JD010332. Vertical velocity (Vm) derived from millimeter cloud radar (MMCR) Doppler velocity measurements in cirrus clouds observed over the ACRF SGP site. Cloud model simulations of cirrus clouds using large-scale forcing (left panel) and cloud-scale forcing (right panel).

134

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Quantifying the Impact of Dust on Ice Generation in Supercooled Stratiform Quantifying the Impact of Dust on Ice Generation in Supercooled Stratiform Clouds Download a printable PDF Submitter: Wang, Z., University of Wyoming Zhang, D., University of Wyoming Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Zhang D, Z Wang, A Heymsfield, J Fan, D Liu, and M Zhao. 2012. "Quantifying the impact of dust on heterogeneous ice generation in midlevel supercooled stratiform clouds." Journal of Geophysical Research - Atmospheres, 39, L18805, doi:10.1029/2012GL052831. An example of dusty MSSC: (a) CALIOP TAB profiles at 532nm; (b) CALIOP depolarization profiles at 532nm; (c) CloudSat CPR radar reflectivity profiles; (d) Identified dust layers and MSSC; (e) Global distribution of

135

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Wide Angle Imaging Lidar: Active Optical Sensor Technology for Ground-Based Wide Angle Imaging Lidar: Active Optical Sensor Technology for Ground-Based Probing of Dense Clouds Download a printable PDF Submitter: Davis, A. B., Jet Propulsion Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Davis, AB. 2008. "Multiple-scattering lidar from both sides of the clouds: Addressing internal structure." Journal of Geophysical Research 113, D14S10, doi:10.1029/2007JD009666. Figure 1. Lidar observations of a dense cloud. Left: standard (single-scattering/on-beam) lidar. Right: multiple-scattering/off-beam lidar. Note the extreme narrowness of the FOV in the standard case, as is required to restrict as much as possible the signal to a single backscatter. Also note the weak penetration, O(1) MFP, of the two-way

136

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Testing and Comparing the Modified Anomalous Diffraction Approximation Testing and Comparing the Modified Anomalous Diffraction Approximation Submitter: Mitchell, D. L., Desert Research Institute Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Mitchell, D.L., A.J. Baran, W.P. Arnott, C. Schmitt, 2006: Testing and comparing the anomalous diffraction approximation. J. Atmos. Sci., 63, 2948-2962. Comparison of MADA and T-matrix with measured Qext. Regions without data were contaminated by water vapor or CO2 absorption. MADA and T-matrix calculations are based on the measured PSD of hexagonal columns having an effective diameter of 14 microns. Comparison of the PSD weighted Qabs predicted by FDTD and MADA for a tunneling efficiency corresponding to aggregates. Cirrus clouds play a large role in the Earth's radiation budget and the way

137

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Vertical Variation of Cloud Droplet Size Using Ship and Space-borne R/S Vertical Variation of Cloud Droplet Size Using Ship and Space-borne R/S Data Download a printable PDF Submitter: Li, Z., University of Maryland Chen, R., University of Maryland Wood, R., University of Washington Chang, F., Science Systems and Applications, Inc. Ferraro, R., NOAA/NESDIS, WWBG Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Chen, R, R Wood, Z Li, R Ferraro, and F Chang. 2008. "Studying the vertical variation of cloud droplet effective radius using ship and space-borne remote sensing data." Journal of Geophysical Research 113, doi:10.1029/2007JD009596. Figure 1. Coincident images of C-band radar reflectivity and MODIS cloud profile at UTC 15:55, Oct. 18, 2001. a) RHB C-band radar reflectivity

138

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How Aerosols Affect Cloud Properties in Arctic Mixed-Phase Stratocumulus How Aerosols Affect Cloud Properties in Arctic Mixed-Phase Stratocumulus Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Jackson RC, GM McFarquhar, AV Korolev, ME Earle, PS Liu, RP Lawson, S Brooks, M Wolde, A Laskin, and M Freer. 2012. "The dependence of ice microphysics on aerosol concentration in arctic mixed-phase stratus clouds during ISDAC and M-PACE." Journal of Geophysical Research - Atmospheres, 117, D15207, doi:10.1029/2012JD017668. Cloud mean ice crystal concentration Nice(D ≥ 50 micrometers) versus mean aerosol concentration (NPCASP) above cloud for all 41 vertical profiles

139

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CCN and Vertical Velocity Influences CCN and Vertical Velocity Influences Submitter: Hudson, J. G., Desert Research Institute Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Hudson JG and S Noble. 2013. "CCN and vertical velocity influences on droplet concentrations and supersaturations in clean and polluted stratus clouds." Journal of the Atmospheric Sciences, , . ACCEPTED. Figure 1. Effective cloud supersaturation (Seff) against CCN concentration at 1% S (N1%) for horizontal cloud penetrations, 50 for MASE and 34 for POST. Seff is the S for which nearby below cloud CCN spectra, NCCN(S), equals mean droplet concentration (Nc). Figure 2. One second droplet concentration, Nc, and vertical velocity

140

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Desert Dust Determines Aerial Spread of Thunderstorm Clouds Desert Dust Determines Aerial Spread of Thunderstorm Clouds Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Zeng X, W Tao, SW Powell, RA Houze, P Ciesielski, N Guy, H Pierce, and T Matsui. 2013. "A comparison of the water budgets between clouds from AMMA and TWP-ICE." Journal of the Atmospheric Sciences, 70(2), doi:10.1175/JAS-D-12-050.1. The sun, seen through a dusty atmosphere, sets at Niamey, the capital of Niger, which is located in the African Sahara. Anvil clouds that accompany thunderstorms. Contrasts often provide unique perspectives, and scientists seize any such opportunity-when it arises. In a new research paper, published in the Journal of Atmospheric Sciences,

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While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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141

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Aerosols Help Heat Up the Yangtze River Delta in China Aerosols Help Heat Up the Yangtze River Delta in China Download a printable PDF Submitter: Flynn, C. J., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Liu J, Z Li, Y Zheng, C Flynn, and M Cribb. 2012. "Seasonal variations of aerosol optical properties, vertical distribution and associated radiative effects in the Yangtze Delta region of China." Journal of Geophysical Research, 117, D00K38, doi:10.1029/2011JD016490. A team of scientists found that aerosols significantly alter the vertical profile of solar heating in the central Yangtze River Delta region in eastern China. Aerosols were identified from as far away as Mongolia and Siberia. These findings have considerable implications for atmospheric

142

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Invisible Giants in the Sky Invisible Giants in the Sky Download a printable PDF Submitter: Ovink, J., Pacific Northwest National Laboratory Kassianov, E., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Kassianov E, M Pekour, and J Barnard. 2012. "Aerosols in central California: Unexpectedly large contribution of coarse mode to aerosol radiative forcing." Geophysical Research Letters, 39, L20806, doi:10.1029/2012GL053469. Photo courtesy of the U.S. National Park Service Daily averaged values of (a, b) the direct aerosol radiative forcing (DARF) and (c, d) aerosol radiative forcing efficiency at the top-of-atmosphere calculated for the "original" aerosol optical properties (blue) and

143

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Climatology of Aerosol Optical Depth in North-Central Oklahoma: Climatology of Aerosol Optical Depth in North-Central Oklahoma: 1992-2008 Download a printable PDF Submitter: Michalsky, J. J., DOC/NOAA/OAR/ESRL Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Michalsky J, F Denn, C Flynn, G Hodges, P Kiedron, A Koontz, J Schlemmer, and SE Schwartz. 2010. "Climatology of aerosol optical depth in north-central Oklahoma: 1992-2008." Journal of Geophysical Research - Atmospheres, 115, D07203, doi: 10.1029/2009JD012197. Box plots of each complete year\'s daily averaged aerosol optical depth (AOD) at 500 nm. The dark horizontal line in each box plot is the median daily averaged AOD for the year; the top and bottom of the rectangular box spans the middle 50% of the data. The mean values for the year are plotted

144

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Variations of Meridional Aerosol Distribution and Solar Dimming Variations of Meridional Aerosol Distribution and Solar Dimming Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Kishcha, P., Tel-Aviv University Starobinets, B., Tel-Aviv University Kalashnikova, O., Jet Propulsion Laboratory Alpert, P., Tel-Aviv University Area of Research: Radiation Processes Working Group(s): Aerosol, Radiative Processes Journal Reference: Kishcha P, B Starobinets, O Kalashnikova, CN Long, and P Alpert. 2009. "Variations of meridional aerosol distribution and solar dimming." Journal of Geophysical Research - Atmospheres, 114, D00D14, 10.1029/2008JD010975. The distribution of four-year aerosol differences (δAOT/δFAOT) between the last four years (March 2004 - February 2008) and the first four years

145

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Minimalist Approach to Modeling Complex Arctic Clouds Minimalist Approach to Modeling Complex Arctic Clouds Download a printable PDF Submitter: Shaw, R. A., Michigan Technological University - Physics Department Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle Journal Reference: Yang F, M Ovchinnikov, and RV Shaw. 2013. "Minimalist model of ice microphysics in mixed-phase stratiform clouds." Geophysical Research Letters, 40(14), doi:10.1002/grl.50700. Nordic winter landscape. Mixed-phase stratiform clouds are common features in the Arctic environment. They contain a mix of ice and "supercooled" water that, despite the freezing temperatures, remains in liquid form. Scientists aren't sure why these clouds exist in the Arctic for long periods of time, even while steadily losing ice particles through precipitation.

146

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Understanding Ice Formation in Arctic Mixed-Phase Boundary-Layer Clouds Understanding Ice Formation in Arctic Mixed-Phase Boundary-Layer Clouds During ISDAC Download a printable PDF Submitter: Ackerman, A., NASA - Goddard Institute for Space Studies Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Avramov A, AS Ackerman, AM Fridlind, B van Diedenhoven, G Botta, K Aydin, J Verlinde, KV Alexei, W Strapp, GM McFarquhar, R Jackson, SD Brooks, A Glen, and M Wolde. 2011. "Towards ice formation closure in Arctic mixed-phase boundary layer clouds during ISDAC." Journal of Geophysical Research - Atmospheres, 116, D00T08, doi:10.1029/2011JD015910. Ice number size distributions as simulated (dendrites in red, aggregates in

147

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TOA Radiation Budget of Convective Core/Stratiform Rain/Anvil Clouds from TOA Radiation Budget of Convective Core/Stratiform Rain/Anvil Clouds from Deep Convection Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Feng Z, XQ Dong, BK Xi, C Schumacher, P Minnis, and M Khaiyer. 2011. "Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep convective systems." Journal of Geophysical Research - Atmospheres, 116, D23202, doi:10.1029/2011JD016451. An example of the hybrid classification process. (a) GOES IR temperature, (b) NEXRAD radar reflectivity at 2.5 km MSL, (c) cloud patch segmentation from GOES IR temperature (the color patches are identified as deep

148

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Shortwave Absorption in Tropical Clouds Shortwave Absorption in Tropical Clouds Download a printable PDF Submitter: McFarlane, S. A., U.S. Department of Energy Mather, J. H., Pacific Northwest National Laboratory Ackerman, T. P., University of Washington Liu, Z., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: McFarlane, SA, JH Mather, TP Ackerman, and Z Liu. 2008. "Effect of clouds on the vertical distribution of SW absorption in the Tropics." Journal of Geophysical Research, in press. Daily average all-sky and clear-sky calculated SW column absorption at Manus and Nauru. On average, there is little difference in absorption between the all-sky and clear-sky conditions because of the compensating

149

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Broadband Albedo Observations in the Southern Great Plains Broadband Albedo Observations in the Southern Great Plains Submitter: Lamb, P. J., University of Oklahoma Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Journal of Applied Meteorology and Climatology, Vol. 45, 2006, pp. 210-235. Figure 1 Figure 2 Because surface reflection of solar radiation plays a fundamental role in the surface energy budget, knowledge of its spatial and temporal variability is important for understanding the weather and climate of a specific region. Research instrumentation at the U.S. Southern Great Plains site-one of three locales around the world managed by the U.S. Department of Energy's Atmospheric Radiation Measurement Program-continuously collects these types of data to help scientist investigate differences in

150

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Direct Aerosol Forcing: Calculation from Observables and Sensitivities to Direct Aerosol Forcing: Calculation from Observables and Sensitivities to Inputs Download a printable PDF Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: McComiskey, A, SE Schwartz, B Schmid, H Guan, ER Lewis, P Ricchiazzi, and JA Ogren. 2008. "Direct aerosol forcing: Calculation from observables and sensitivities to inputs." Journal of Geophysical Research 113, D09202, doi:10.1029/2007JD009170. Figure 1. The sensitivity of calculated aerosol direct radiative forcing to input parameters has been examined to determine the consequences of uncertainties in these input parameters on calculated radiative forcing and to identify areas where measurements might be most profitably improved. Input

151

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Measured Radiative Cooling from Reflective Roofs in India Measured Radiative Cooling from Reflective Roofs in India Download a printable PDF Submitter: Fischer, M. L., Lawrence Berkeley National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Salamanca F, S Tonse, S Menon, V Garg, KP Singh, M Naja, and ML Fischer. 2012. "Top-of-atmosphere radiative cooling with white roofs: Experimental verification and model-based evaluation." Environmental Research Letters, 7(4), 044007, doi:10.1088/1748-9326/7/4/044007. True color image of light (PW1, PW2) and unpainted tar (PD1), and concrete (PD2) roofs at the Pantnagar, India site taken on October 21, 2011. We note that the concrete roof is considerably more reflective than the tar roof

152

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Exploring Parameterization for Turbulent Entrainment-Mixing Processes in Exploring Parameterization for Turbulent Entrainment-Mixing Processes in Clouds Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Lu, C., Brookhaven National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Lu C, S Niu, S Krueger, and T Wagner. 2013. "Exploring parameterization for turbulent entrainment-mixing processes in clouds." Journal of Geophysical Research - Atmospheres, 118(1), doi:10.1029/2012JD018464. Relationships between the three microphysical measures of homogeneous mixing degree (ψ1, ψ2, ψ3) and the two transition scale numbers (NLa, NL0), respectively. The results shown here are from the EMPM simulations.

153

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Estimating Fractional Sky Cover from Spectral Measurements Estimating Fractional Sky Cover from Spectral Measurements Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Min, Q., State University of New York, Albany Wang, T., State University of New York, Albany Duan, M., Institute of Atmospheric Physics/Chinese Academy of Science Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Min Q, T Wang, CN Long, and M Duan. 2008. "Estimating fractional sky cover from spectral measurements." Journal of Geophysical Research - Atmospheres, 113, D20208, doi:10.1029/2008JD010278. Retrieved and observed cloud fractions and corresponding TSI cloud imagers on 8 July 2005 at Pt. Reyes. Scatterplot of retrieved cloud fraction from spectral ratio method and SW

154

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Development and Recent Evaluation of the MT_CKD Model of Continuum Development and Recent Evaluation of the MT_CKD Model of Continuum Absorption Download a printable PDF Submitter: Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Mlawer EJ, VH Payne, J Moncet, JS Delamere, MJ Alvarado, and DD Tobin. 2012. "Development and recent evaluation of the MT_CKD model of continuum absorption." Philosophical Transactions of The Royal Society A, 370, doi: 10.1098/rsta.2011.0295. For seven AERI cases with 4-6 cm PWV: (a) average AERI radiances (black) and corresponding calculations using radiation code with previous version of MT_CKD continuum model (red); (b) residuals between AERI and calculations with older model; (c) residuals after the CO2 continuum in

155

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Field Campaign Resource Allocation Using Statistical Decision Analysis Field Campaign Resource Allocation Using Statistical Decision Analysis Download a printable PDF Submitter: Hanlon, C., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Hanlon CJ, JB Stefik, AA Small, J Verlinde, and GS Young. 2013. "Statistical decision analysis for flight decision support: The SPartICus campaign." Journal of Geophysical Research - Atmospheres, , . ACCEPTED. In many atmospheric science field campaigns, investigators are budgeted some number of flight hours to collect data under specific, imperfectly forecastable atmospheric conditions. In such field campaigns, investigators must assess atmospheric conditions each day and make a resource-allocation decision: are conditions good enough to use some of our scarce flight hours

156

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Clouds Brighten Up the Sky Near Them Clouds Brighten Up the Sky Near Them Download a printable PDF Submitter: Varnai, T., University of Maryland, Baltimore County/JCEST Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Varnai T and A Marshak. 2009. "MODIS observations of enhanced clear sky reflectance near clouds." Geophysical Research Letters, 36, L06807, doi:10.1029/2008GL037089. Figure 1. Illustration of clouds enhancing the brightness of sky in nearby clear areas. In cloud-free areas light is scattered mainly by air molecules, but aerosols also contribute. Figure 2. Top: Average increase in MODIS clear-sky reflectivity (R) near clouds. The difference between areas near illuminated and shadowy cloud

157

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Cloud-Resolving Model (CRM) Simulations: Robust Results for Use in Climate Cloud-Resolving Model (CRM) Simulations: Robust Results for Use in Climate Model Development Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies Smith-Mrowiec, A. A., Columbia University/NASA Goddard Institute for Space Studies Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mrowiec AA, C Rio, AM Fridlind, AS Ackerman, AD Del Genio, OM Pauluis, AC Varble, and J Fan. 2012. "Analysis of cloud-resolving simulations of a tropical mesoscale convective system observed during TWP-ICE: Vertical fluxes and draft properties in convective and stratiform regions." Journal of Geophysical Research, 117, D19201, doi:10.1029/2012JD017759.

158

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"Invisible" Giants in the Sky "Invisible" Giants in the Sky Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Kassianov E, M Pekour, and J Barnard. 2012. "Aerosols in central California: Unexpectedly large contribution of coarse mode to aerosol radiative forcing." Geophysical Research Letters, 39, L20806, doi:10.1029/2012GL053469. Daily averaged values of (a, b) the direct aerosol radiative forcing (DARF) and (c, d) aerosol radiative forcing efficiency at the top-of-atmosphere calculated for the "original" aerosol optical properties (blue) and their PM1.0 (red) and PM2.5 (green) counterparts at the CARES (left) T0 and (right) T1 sites.

159

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Cumuli Impact on Solar Radiation at Surface: Spectral Changes Cumuli Impact on Solar Radiation at Surface: Spectral Changes Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle, Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Kassianov E, J Barnard, LK Berg, CN Long, and C Flynn. 2011. "Shortwave spectral radiative forcing of cumulus clouds from surface observations." Geophysical Research Letters, 38, L07801, doi:10.1029/2010GL046282. Figure 1. Normalized total cloud radiative forcing and its direct and diffuse components as a function of wavelength. Typically, under cloudy conditions, radiative transfer parameterizations in climate models have been evaluated by calculating the total cloud impact on

160

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Anthropogenic Aerosols: a Clearer Understanding Anthropogenic Aerosols: a Clearer Understanding Submitter: Daum, P., Brookhaven National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Liu, Y., and P. H. Daum, 2002: "Indirect warming effect from dispersion forcing," Nature 419(6872):580-581. Figure 1. Key = Green symbols: triangle - FIRE, northeastern Pacific; Crossed circles - SOCEX, Southern Ocean; Filled circle - ACE1, Southern Ocean; Blue symbols: Filled circles - ASTEX 8, northeastern Atlantic; Diamonds - SCMS 8, Florida coast; Filled triangles - Sounding 9, ASTEX; Filled squares - horizontal 9, ASTEX; Open inverted triangles - level 1; Open upright triangles - level 2; Open circles - level 3, all from southwest of San Diego 10; open diamonds - SCMS 11; stars - vertical, ASTEX

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

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Biases in Column Absorption for Fractal Clouds Biases in Column Absorption for Fractal Clouds Submitter: Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marshak, Alexander; Davis, Anthony; Wiscombe, Warren; Ridgway, William; Cahalan, Robert; 1998: "Biases in Shortwave Column Absorption in the Presence of Fractal Clouds," J. Climate 11(3):431-446. Figure 1: Water vapor transmission spectra for solar zenith angle of 60 degree. From the top: from TOA to 5 km, from TOA to 1 km, from TOA to 0.5 km and, finally, from TOA to surface. Figure 2: Fractional cloudiness N = 0.777. (a) Horizontal distribution of optical depth, the same for both models. (b) Horizontal distribution of cloud height for optical model. Constant cloud top and cloud base; thus

162

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More Like Shades of Gray: the Effects of Black Carbon in Aerosols More Like Shades of Gray: the Effects of Black Carbon in Aerosols Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Cappa CD, TB Onasch, P Massoli, DR Worsnop, TS Bates, ES Cross, P Davidovits, J Hakala, KL Hayden, BT Jobson, KR Kolesar, DA Lack, BM Lerner, SM Li, D Mellon, I Nuaaman, JS Olfert, T Petaja, PK Quinn, C Song, R Subramanian, EJ Williams, and RA Zaveri. 2012. "Radiative absorption enhancements due to the mixing state of atmospheric black carbon." Science, 337(6098), doi:10.1126/science.1223447. Black to the core: Scientists are combining field and laboratory measurements to understand more about the physical properties of aerosols

163

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Simulating Mixed-Phase Clouds: Sensitivity to Ice Initiation Simulating Mixed-Phase Clouds: Sensitivity to Ice Initiation Download a printable PDF Submitter: Sednev, I., Lawrence Berkeley National Laboratory Menon, S., Lawrence Berkeley National Laboratory McFarquhar, G., University of Illinois, Urbana Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: I Sednev, S Menon, and G McFarquhar. 2008. "Simulating mixed-phase Arctic stratus clouds: Sensitivity to ice initiation mechanisms." Atmospheric Chemistry and Physics Discussion 8: 11755-11819. The vertical structure and radiative properties of persistent low-level Arctic clouds depend on their microphysics, and thus, estimation of the relative significance of the microphysical processes that occur in these

164

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A New Bulk Microphysical Scheme That Includes Riming Intensity and A New Bulk Microphysical Scheme That Includes Riming Intensity and Temperature Dependent Ice Ch Download a printable PDF Submitter: Lin, Y., Geophysical Fluid Dynamics Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Lin Y and BA Colle. 2011. "A new bulk microphysical scheme that includes riming intensity and temperature dependent ice characteristics." Monthly Weather Review, 139(3), 10.1175/2010MWR3293.1. (a) Coefficients of area-diameter (A-D) relationship in the new scheme. (b) Same as (a), except for the mass-diameter (M-D) relationship. (c) Same as (a), but for the velocity-diameter (V-D) relationship. (d) Same as (c), but each line shows the variation with Ri. More details of the figure are

165

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New Method Simulates 3D Ice Crystal Growth Within Clouds New Method Simulates 3D Ice Crystal Growth Within Clouds Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Harrington JY, K Sulia, and H Morrison. 2013. "A method for adaptive habit prediction in bulk microphysical models. Part I: theoretical development." Journal of the Atmospheric Sciences, 70(2), doi:10.1175/JAS-D-12-040.1. Harrington JY, K Sulia, and H Morrison. 2013. "A method for adaptive habit prediction in bulk microphysical models. Part II: parcel model corroboration." Journal of the Atmospheric Sciences, 70(2), doi:10.1175/JAS-D-12-0152.1. A close-up of ice crystals. Ever noticed the different shapes of snowflakes sticking on the windowpane

166

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Dust in the Wind... and the Clouds... and the Atmosphere Dust in the Wind... and the Clouds... and the Atmosphere Submitter: Sassen, K., University of Alaska, Fairbanks Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Sassen, K., P.J. DeMott, J.M. Propsero, and M.R. Poellot, Saharan Dust Storms and Indirect Aerosol Effects on Clouds: CRYSTAL-FACE Results, Geophys. Res. Ltt., 30(12), 1633, doi:10/1029/2003GL017371, 2003. PDL linear depolarization ratio (color scale on top) and relative returned power (in gray scale) of height versus time displays obtained on July 29, 2002, during the CRYSTAL-FACE experiment. Depicted are strong depolarizing upper tropospheric clouds (~10km), aerosols (δ ~.10 to .15) extending up to ~5.5km, and at lower right (scale adjusted to account for signal

167

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Heating Up the Arctic: Most Complete Data Set Ever Collected Helps Heating Up the Arctic: Most Complete Data Set Ever Collected Helps Scientists Understand Aerosol Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: McFarquhar GM, S Ghan, J Verlinde, A Korolev, JW Strapp, B Schmid, JM Tomlinson, M Wolde, SD Brooks, D Cziczo, MK Dubey, JW Fan, C Flynn, I Gultepe, J Hubbe, MK Gilles, A Laskin, P Lawson, WR Leaitch, P Liu, XH Liu, D Lubin, C Mazzoleni, AM Macdonald, RC Moffet, H Morrison, M Ovchinnikov, MD Shupe, DD Turner, SC Xie, A Zelenyuk, K Bae, M Freer, and A Glen. 2011. "Indirect and Semi-Direct Aerosol Campaign: the impact of Arctic aerosols on clouds." Bulletin of the American Meteorological

168

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Ice Nuclei and Global Warming Ice Nuclei and Global Warming Download a printable PDF Submitter: Zeng, X., NASA - Goddard Space Flight Center Tao, W., NASA - Goddard Space Flight Center Zhang, M., Stony Brook University Hou, A., NASA - Goddard Space Flight Center Xie, S., Lawrence Livermore National Laboratory Lang, S. E., NASA - Goddard Space Flight Center Li, X., University of Maryland, Baltimore County Starr, D. O., NASA - Goddard Space Flight Center Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Zeng X, WK Tao, M Zhang, AY Hou, S Xie, S Lang, X Li, DO Starr, and X Li. 2009. "A contribution by ice nuclei to global warming." Quarterly Journal Royal Meteorological Society, EARLY VIEW, doi:10.1002/qj.449.

169

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"Radiance Assimilation" Correction Method Improves Water Vapor Radiosonde "Radiance Assimilation" Correction Method Improves Water Vapor Radiosonde Observations in the Upper Troposphere Submitter: Soden, B. J., University of Miami Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Soden, B.J., D.D. Turner, B.M. Lesht, and L.M. Miloshevich (2004), An analysis of satellite, radiosonde, and lidar observations of upper tropospheric water vapor from the Atmospheric Radiation Measurement Program, J. Geophys. Res., 109, D04105, doi:10/1029/2003JD003828. Time-average relative humidity profiles from both original (black) and radiance-adjusted (blue) radiosonde soundings compared to the lidar (red) retrievals from field campaigns in 1996, 1997, 1999, and 2000.

170

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Modeled Vs. Measured Direct-Normal Solar Irradiance Modeled Vs. Measured Direct-Normal Solar Irradiance Submitter: Schwartz, S. E., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Halthore R. N., Schwartz, S. E., Michalsky, J. J., Anderson, G. P., Ferrare R. A., Holben B. N., and ten Brink H. M. 1997. "Comparison of Model Estimated and Measured Direct-Normal Solar Irradiance," J. Geophys. Res. 102(D25): 29991-30002 Figure 1 Figure 2 Figure 3 Figure 4 Direct-normal solar irradiance (DNSI), the total energy in the solar spectrum incident in unit time on a unit area at the earth's surface perpendicular to the direction to the Sun, Figure 1, depends only on atmospheric extinction of solar energy without regard to the details of the

171

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All Mixed Up-Probing Large and Small Scale Turbulence Structures in All Mixed Up-Probing Large and Small Scale Turbulence Structures in Continental Stratocumulus Clouds Download a printable PDF Submitter: Fang, M., University of Miami Albrecht, B. A., University of Miami Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Fang M, BA Albrecht, VP Ghate, and P Kollias. 2013. "Turbulence in continental stratocumulus, Part I: External forcings and turbulence structures." Boundary-Layer Meteorology, 149(454), doi:10.1007/s10546-013-9873-3. Coherent structures of the vertical velocity (left panels) and the energy dissipation rate (right panels) in updraft region during the day (a, b), night (c, d), and for entire 16 hours (e, f) of continental stratocumulus. Continental stratocumulus clouds are frequently observed in the cold side

172

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Preferred States of the Winter Arctic Atmosphere, Surface, and Sub-Surface Preferred States of the Winter Arctic Atmosphere, Surface, and Sub-Surface Download a printable PDF Submitter: Del Genio, A. D., NASA Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: Stramler K, AD Del Genio, and WB Rossow. 2011. "Synoptically driven Arctic winter states." Journal of Climate, 24(6), doi:10.1175/2010JCLI3817.1. SHEBA winter hourly surface net (down - up) longwave radiation flux versus surface temperature. Blue circles indicate times when a combined radar-lidar cloud detection indicated clear skies, and red plus signs indicate times when clouds were detected. Time series of SHEBA winter hourly temperatures at the atmospheric temperature inversion altitude (magenta), surface (black), snow-sea ice

173

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Seasonal Variation of the Physical Properties of Marine Boundary Clouds Seasonal Variation of the Physical Properties of Marine Boundary Clouds Download a printable PDF Submitter: Zhang, M., Stony Brook University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Lin W, M Zhang, and NG Loeb. 2009. "Seasonal variation of the physical properties of marine boundary layer clouds off the California coast." Journal of Climate, 22(10), doi:10.1175/2008JCLI2478.1. Image (a). Seasonal contrast of marine boundary-layer clouds between (a) summer (above) and (b) winter (below) off the California coast. Shown are cloud amount in the shaded box, cloud top and base heights and lifting condensation level (LCL) to the left, and cloud thickness and adiabatic

174

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The Vertical Structure of Cloud Radiative Forcing at the ACRF SGP Revealed The Vertical Structure of Cloud Radiative Forcing at the ACRF SGP Revealed by 8 Years of Continuous Measurements Submitter: Mace, G., Utah State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Accepted to Journal of Climate, 2007. Figure 1. Cloud occurrence, coverage, radiative forcing, and radiation effects over a composite annual cycle that is derived by averaging all observations collected during a particular month for all years. a) cloud occurrence in 100 mb vertical bins, b) cloud coverage, c) infrared cloud radiative forcing in 100 mb vertical bins, d) solar cloud radiative forcing, e) net cloud radiative forcing, f,g,h) solar (dotted), IR (solid), and net (dashed) cloud radiative effect for TOA (f), atmosphere (g), and

175

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New Characterization of Organic Aerosol Evolution Will Help Improve Models New Characterization of Organic Aerosol Evolution Will Help Improve Models Download a printable PDF Submitter: Jimenez, J., University of Colorado Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Jimenez JL and . et al. 2009. "Evolution of organic aerosols in the atmosphere." Science, 326, doi: 10.1126/science.1180353. Total mass concentration (in micrograms per cubic meter) and mass fractions of non-refractory inorganic species and organic components in submicrometer aerosols measured with the AMS at multiple surface locations in the Northern Hemisphere. Inset: Distributions of O:C for the OA components identified at the different sites. Relationship between O:C and hygroscopicity (k, or equivalently the

176

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Single-Scattering Properties of Aggregates of Plates Single-Scattering Properties of Aggregates of Plates Download a printable PDF Submitter: Um, J., University of Illinois, Urbana McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Um J and GM McFarquhar. 2009. "Single-scattering properties of aggregates of plates." Quarterly Journal Royal Meteorological Society, 135(639), 10.1002/qj.378. Aggregates of plates imaged by Cloud Particle Imager (left panel) and idealized geometry of aggregates of plates with AI=0.61 (right panel). Asymmetry parameter (g) at λ=0.55 μm of 80 different aggregates of seven 100 μm plates attached together, as functions of (a) AI, (b) 1-AR, and (c) An. The correlation coefficient and constants for a fitting equation,

177

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A Finer Mesh to Improve Cloud Representation in Climate Models? A Finer Mesh to Improve Cloud Representation in Climate Models? Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Boutle IA, SJ Abel, PG Hill, and CJ Morcrette. 2013. "Spatial variability of liquid cloud and rain: observations and microphysical effects." Quarterly Journal Royal Meteorological Society, , doi:10.1002/qj.2140. Different sizes of water droplets as well as varying water content dramatically alter cloud properties-often at a resolution finer than is currently in use by most climate models. Although clouds can extend for several kilometers, their properties-for example, liquid and rainwater content-can change dramatically over very

178

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A Proposed Measurement Standard for Diffuse Radiation Flux A Proposed Measurement Standard for Diffuse Radiation Flux Download a printable PDF Submitter: Michalsky, J. J., DOC/NOAA/OAR/ESRL Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Michalsky, J. J., C. Gueymard, P. Kiedron, L. J. B. McArthur, R. Philipona, and T. Stoffel, 2007: A proposed working standard for the measurement of diffuse horizontal shortwave irradiance, J. Geophys. Res., 112, D16112, doi:10.1029/2007JD008651. The three pyranometers proposed for the international standard for diffuse flux are shown here in action during the 2006 campaign at the ACRF SGP site. Of note are the shadows of the blocking balls on the domes of each pyranometer. The blocking balls are moved by a solar tracker to continuously shade the pyranometers.

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Impact of Anthropogenic Emissions on Organic Aerosols During CARES Impact of Anthropogenic Emissions on Organic Aerosols During CARES Submitter: Zhang, Q., University of California, Davis Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Setyan A, Q Zhang, M Merkel, WB Knighton, Y Sun, C Song, J Shilling, TB Onasch, S Herndon, D Worsnop, JD Fast, R Zaveri, LK Berg, A Wiedensohler, BA Flowers, MK Dubey, and R Subramanian. 2012. "Characterization of submicron particles influenced by mixed biogenic and anthropogenic emissions using high-resolution aerosol mass spectrometry: Results from CARES." Atmospheric Chemistry and Physics, 12, doi:10.5194/acp-12-8131-2012. High-resolution mass spectra (colored by ion category) and elemental ratios of the OA factors. Average contribution of ion categories to the total

180

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Laboratory-Measured Optical Properties of Primary Organic Aerosol for Laboratory-Measured Optical Properties of Primary Organic Aerosol for Humidities Up to 95% Download a printable PDF Submitter: Bond, T., University of Illinois, Urbana Rood, M. J., University of Illinois, Urbana Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Brem BT, FC Mena Gonzalez, SR Meyers, TC Bond, and MJ Rood. 2011. "Laboratory-measured optical properties of inorganic and organic aerosols at relative humidities up to 95%." Aerosol Science and Technology, 46(2), doi:10.1080/02786826.2011.617794. Optical properties of the nigrosin benchmark aerosol as a function of relative humidity (RH). Measured extinction (σep) and scattering (σsp) for 467 nm, 530 nm and 660 nm are shown in 1a), 1b) and 1c); calculated

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181

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Arctic Mixed-phase Clouds Persist with Little Help from the Local Surface Arctic Mixed-phase Clouds Persist with Little Help from the Local Surface Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Shupe MD, OG Persson, IM Brooks, M Tjernstrom, J Sedlar, T Mauritsen, S Sjogren, and C Leck. 2013. "Cloud and boundary layer interactions over the Arctic sea ice in late summer." Atmospheric Chemistry and Physics, 13, doi:10.5194/acp-13-9379-2013. Figure 1. Normalized profiles of (a) vertical velocity skewness and (b) variance, (c) turbulent dissipation rate, and (d) potential temperature. Black curves are all data, while red and green are for decoupled and coupled cases, respectively. Normalization is relative to the cloud top

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Tackling Tropical Convection in Climate Models Tackling Tropical Convection in Climate Models Submitter: Zhang, G. J., University of California, San Diego Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Zhang, G. J., and H. Wang, 2006. Toward mitigating the double ITCZ problem in NCAR CCSM3, Geophys. Res. Lett., 33, L06709, doi:10.1029/2005GL025229 (23 March 2006). Figure 1. Climate models commonly suffer from a problem known as the double-ITCZ, which is illustrated here via observed and model-simulated rainfall at the surface. The error is seen in the region circled where, compared to observations (Image A), the original climate model (Image B) produces a second, erroneous equatorial ITCZ band southward from the one

183

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First Observation-Based Estimates of Cloud-Free Aerosol Radiative Forcing First Observation-Based Estimates of Cloud-Free Aerosol Radiative Forcing Across China Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: N/A Mean annual shortwave aerosol radiative forcing (SWARF) averaged across China. Spatial variation of the annual mean SW aerosol radiative forcing. Heavy loading of aerosols in China is widely known, but little is known about their impact on regional radiation budgets, which is often expressed as aerosol radiative forcing (ARF). Depending on their composition, aerosols can absorb a substantial amount of solar radiation, leading to a warming of the atmosphere and cooling of the surface. Many investigations have been made to characterize atmospheric aerosols and their radiative

184

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Scale Shows True Weight of Aerosol Effects on Clouds Scale Shows True Weight of Aerosol Effects on Clouds Download a printable PDF Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: McComiskey A and G Feingold. 2012. "The scale problem in quantifying aerosol indirect effects." Atmospheric Chemistry and Physics, 12, doi:10.5194/acp-12-1031-2012. Differing values: Values derived from aircraft and surface observations, which represent disaggregated data, differ from those derived from satellite-based data, which represent data aggregated at a range of levels. Currently, many climate change models treat the two types of data the same. Aerosols-tiny airborne particles from sources like pollution or desert

185

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Aerosol Experiment Results Featured in Technical Journal Aerosol Experiment Results Featured in Technical Journal Submitter: Sheridan, P., U.S. Department of Commerce/NOAA Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Sheridan, P, W Arnott, J Ogren, E Andrews, D Atkinson, D Covert, H Moosmuller, A Petzold, B Schmid, A Strawa, R Varma, and A Virkkula. 2005. "The Reno Aerosol Optics Study: An evaluation of aerosol absorption measurement methods." Aerosol Science and Technology 39(1):1-16. This magnification shows the size of aerosol particles relative to the pore size of the filter used during one of the study's sampling runs. Aerosol particles are gaining increasing scientific attention as a key factor in climate change. Through scattering and absorption of solar radiation, or by altering cloud properties, aerosols have the potential to

186

Research Highlight  

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Improved Accuracy in Liquid Water Path Retrievals Improved Accuracy in Liquid Water Path Retrievals Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Clouds with Low Optical [Water] Depths (CLOWD) Working Group(s): Radiative Processes Journal Reference: Turner, D.D., 2007: Improved ground-based liquid water path retrievals using a combined infrared and microwave approach. J. Geophys. Res., 112, D15204, doi:10.1029/2007JD008530. Turner, D.D., A.M. Vogelmann, R. Austin, J.C. Barnard, K. Cady-Pereira, C. Chiu, S.A. Clough, C.J. Flynn, M.M. Khaiyer, J.C. Liljegren, K. Johnson, B. Lin, C.N. Long, A. Marshak, S.Y. Matrosov, S.A. McFarlane, M.A. Miller, Q. Min, P. Minnis, W. O'Hirok, Z. Wang, and W. Wiscombe, 2007: Thin liquid water clouds: Their importance and our challenge. Bull. Amer. Meteor. Soc.,

187

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Cloud Survey over West Africa Reveals Climate Impact of Mid-Level Clouds Cloud Survey over West Africa Reveals Climate Impact of Mid-Level Clouds Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Bouniol D, F Couvreux, PH Kamsu-Tamo, M Leplay, F Guichard, F Favot, and EJ O'Connor. 2012. "Diurnal and seasonal cycles of cloud occurrences, types, and radiative impact over West Africa." Journal of Applied Meteorology and Climatology, 51(3), doi:10.1175/JAMC-D-11-051.1. Clouds occurring at different levels in the sky have varying impacts on Earth's energy budget. Clouds with bases between five and seven kilometers above the Earth's surface, also known as mid-level clouds, occur over West Africa all year-round and may have major impacts on the Earth's energy budget,

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Aerosols Help Clouds Warm Up Arctic Aerosols Help Clouds Warm Up Arctic Submitter: Lubin, D., National Science Foundation Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Lubin, D., and A.M. Vogelmann, 2006: A climatologically significant aerosol longwave indirect effect in the Arctic, Nature, 439, 26 January, 453-456, doi:10.1038/nature04449 In a process known as the first aerosol indirect effect, enhanced aerosol concentrations cause the droplets in a cloud to be smaller and more numerous within a cloud of fixed water amount. This study found that this process can make many clouds more opaque and emit more thermal energy to the surface. The warming of the Arctic climate and decreases in sea ice area and thickness observed over recent decades are believed to result from

189

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Global Variability of Mesoscale Convective System Anvil Structure from Global Variability of Mesoscale Convective System Anvil Structure from A-train Satellite Data Submitter: Yuan, J., University of Washington Houze, R., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Yuan J and RA Houze. 2010. "Global variability of mesoscale convective system anvil structure from A-train satellite data." Journal of Climate, 23, 5864-5888. Figure. 1 Annual mean (2007) climatology of anvil clouds associated with (a) small separated MCSs (<12000 km^2, the smallest 25%), (b) large separated MCSs (>40000 km^2, the largest 25%), and (c) connected MCSs. The color indicates percentage of area covered by MCS anvil clouds for each 5°x5° grid. In the tropics, upper-level clouds containing ice and mixtures of ice and

190

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Improving Water Vapor Absorption in Microwave Radiative Transfer Models Improving Water Vapor Absorption in Microwave Radiative Transfer Models Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Loehnert, U., University of Cologne Cadeddu, M. P., Argonne National Laboratory Crewell, S., University of Cologne Vogelmann, A. M., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Turner DD, MP Cadeddu, U Loehnert, S Crewell, and A Vogelmann. 2009. "Modifications to the water vapor continuum in the microwave suggested by ground-based 150 GHz observations." IEEE Transactions on Geoscience and Remote Sensing, 47(10), 3326-3337. Figure 1: The top panel shows downwelling microwave brightness temperature

191

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Black Carbon Reduction of Snow Albedo Black Carbon Reduction of Snow Albedo Submitter: Kirchstetter, T. W., Lawrence Berkeley National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Hadley OL and TW Kirchstetter. 2012. "Black carbon reduction of snow albedo." Nature Climate Change, , doi:10.1038/nclimate1433. Spectrally weighted snow albedo over the 300-2,500 nm solar spectrum: derived from our experiments (dots, 1 standard deviation) and modelled using SNICAR (shaded bands). Upper and lower boundaries of the shaded bands correspond to modelled albedo assuming BC mass absorption cross-sections, at 550 nm, of 7.5 and 15 m2/g, respectively. Climate models indicate that the reduction of surface albedo caused by black carbon contamination of snow contributes to global warming and

192

Research Highlight  

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Optimal Method to Determine Orientation Average of Scattering Properties of Optimal Method to Determine Orientation Average of Scattering Properties of Ice Crystals Download a printable PDF Submitter: Um, J., University of Illinois, Urbana McFarquhar, G., University of Illinois, Urbana Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Um J and GM McFarquhar. 2013. "Optimal numerical methods for determining the orientation averages of single-scattering properties of atmospheric ice crystals." Journal of Quantitative Spectroscopy & Radiative Transfer, 127, doi:10.1016/j.jqsrt.2013.05.020. Fig.1. Idealized shapes of ice crystals used in this study: (a) Gaussian random sphere (GS), (b) droxtal (DX), (c) budding Bucky ball (3B), and (d) column (COL). All models are visualized with dipoles. For (b), (c), and (d)

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Performance of Longwave Radiative Transfer Models for 3D Cloud Fields Performance of Longwave Radiative Transfer Models for 3D Cloud Fields Download a printable PDF Submitter: Kablick III, G. P., University of Maryland Ellingson, R. G., Florida State University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Kablick III GP, RG Ellingson, EE Takara, and J Gu. 2011. "Longwave 3D benchmarks for inhomogeneous clouds and comparisons with approximate methods." Journal of Climate, 24, doi:10.1175/2010JCLI3752.1. The respective flux and heating rate errors (model-3DMC) for (a),(b) ATEX and (c),(d) GATE A. The error profiles in (a) and (c) are to be interpreted as ICA, solid lines; MRO, dashed lines; RO, dotted lines. (b) and (d) also show the differences between MRO and RO. The horizontal lines are the

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Modeling of Scattering and Absorption by Nonspherical Cirrus Modeling of Scattering and Absorption by Nonspherical Cirrus Submitter: Dong, Q., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Fu, Q., W.B. Sun, and P. Yang, 1999: "Modeling of Scattering and Absorption by Nonspherical Cirrus Ice Particles at Thermal Infrared Wavelengths," J. Atmos. Sci. 56(16): 2937-2947. We examined a number of commonly used methods for the calculation of the scattering and absorption properties of nonspherical ice crystals at thermal infrared wavelengths. It is found that, for randomly oriented nonspherical particles, Mie theory using equivalent ice spheres tends to overestimate the absorption efficiency while the anomalous diffraction

195

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Modification of the Atmospheric Boundary Layer by a Small Island: Modification of the Atmospheric Boundary Layer by a Small Island: Observations from Nauru Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Matthews, S., J. M. Hacker, J. Cole, J. Hare, C. N. Long, and R. M. Reynolds, (2007): Modification of the atmospheric boundary layer by a small island: observations from Nauru, MWR, Vol. 135, No. 3, pages 891–905. Figure 1. Illustration of daytime heating producing a thermal internal boundary layer effect over Nauru, which in turn produces cumulous clouds above the boundary layer. Figure 2. Illustration of Nauru heat-island produced by convective rolls forming cloud streets. Figure 3. Satellite images of Nauru on December 13, 2000 showing the cloud

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Progress Towards Climate Projections of Central U.S. Rainfall Using a Progress Towards Climate Projections of Central U.S. Rainfall Using a Global Model with Embedded Explicit Convection Download a printable PDF Submitter: Pritchard, M. S., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Pritchard MS, MW Moncrieff, and RC Somerville. 2011. "Orogenic propagating precipitation systems over the US in a global climate model with embedded explicit convection." Journal of the Atmospheric Sciences, 68, doi:10.1175/2011JAS3699.1. Characteristic time-longitude structure of central U.S. summer diurnal convection (35-45 N) (a) as observed in 2005 from space-borne infrared imagers, and as simulated by (b) the Community Atmosphere Model (CAM) v3.5

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Out with the Old, in with the New: McICA to Replace Traditional Cloud Out with the Old, in with the New: McICA to Replace Traditional Cloud Overlap Assumptions Submitter: Pincus, R., NOAA - CIRES Climate Diagnostics Center Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Modeling Journal Reference: Pincus, R., R. Hemler, and S.A. Klein, 2006: Using Stochastically Generated Subcolumns to Represent Cloud Structure in a Large-Scale Model. Mon. Wea. Rev., 134, 3644-3656. As shown by the difference between the two panels, the standard way (AM2, top panel) of mixing solar reflection and transmission differs systematically from the Independent Column Approximation approach. Because cloud-radiation interactions depend critically on the vertical amount of clouds, different assumptions about how this alignment occurs

198

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Characterizing Clouds at Arctic Atmospheric Observatories Characterizing Clouds at Arctic Atmospheric Observatories Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Shupe MD, VP Walden, E Eloranta, T Uttal, JR Campbell, SM Starkweather, and M Shiobara. 2011. "Clouds at Arctic atmospheric observatories, part I: occurrence and macrophysical properties." Journal of Applied Meteorology and Climatology, 50(3), 626-644. Shupe MD. 2011. "Clouds at Arctic atmospheric observatories, part II: thermodynamic phase characteristics." Journal of Applied Meteorology and Climatology, 50(3), 645-661. Figure 1: (a) Annual cycles of monthly mean cloud occurrence fraction at six Arctic atmospheric observatories. The average cloud fraction for all

199

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Increased Accuracy for Sky Imager Retrievals Increased Accuracy for Sky Imager Retrievals Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Long CN. 2010. "Correcting for circumsolar and near-horizon errors in sky cover retrievals from sky images." The Open Atmospheric Science Journal, 4, doi:10.2174/1874282301004010045. Long CN, JM Sabburg, J Calbo, and D Pages. 2006. "Retrieving cloud characteristics from ground-based daytime all-sky images." Journal of Atmospheric and Oceanic Technology, 23, 633-652. Sample sky image (left) and corresponding cloud decision image (right) showing an example of the over-estimating problem. White and gray in the

200

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When It Rains, It Doesn't Always Pour When It Rains, It Doesn't Always Pour Download a printable PDF Submitter: Penide, G., Laboratoire d\\\'Optique Atmospherique Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Penide G, V Kumar, A Protat, and P May. 2013. "Statistics of drop size distribution parameters and rain rates for stratiform and convective precipitation during the North Australian wet season." Monthly Weather Review, 141(9), 10.1175 /mwr-d-12-00262.1. Measurements from the Atmospheric Radiation Measurement facility at Darwin, Australia, helped scientists determine how drop size distribution and rain rates are affected by larger-scale weather patterns. Rainfall comes in a variety of forms: mist, drizzle, showers, downpours. The type and frequency of rainfall usually depends on the season and

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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201

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Satellite Constraints on Cloud-Top Phase, Ice Size, and Asymmetry Parameter Satellite Constraints on Cloud-Top Phase, Ice Size, and Asymmetry Parameter over Deep Convection Download a printable PDF Submitter: van Diedenhoven, B., NASA - Goddard Institute for Space Studies Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: van Diedenhoven B, AM Fridlind, AS Ackerman, and B Cairns. 2012. "Evaluation of hydrometeor phase and ice properties in cloud-resolving model simulations of tropical deep convection using radiance and polarization measurements." Journal of the Atmospheric Sciences, 69(11), doi:10.1175/JAS-D-11-0314.1. Liquid index (LI) values are directly derived from multi-directional polarized reflectances. POLDER measurements (dashed line envelop) show

202

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Comparing Global Atmospheric Model Simulations of Tropical Convection Comparing Global Atmospheric Model Simulations of Tropical Convection Download a printable PDF Submitter: Lin, Y., Geophysical Fluid Dynamics Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A Mean profiles of (first column) total precipitation normalized Q1, (second column) convective precipitation normalized convective heating, (third column) stratiform heating, and (fourth column) convective mass flux for the (top) wet, (middle) dry, and (bottom) break period from models and available observational estimates. Dashed lines are fine resolution model results. Note the different x axis scale for the third and fourth columns. An intercomparison of global atmospheric model simulations of tropical

203

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Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate? Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate? Submitter: Prenni, A. J., Colorado State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Prenni, A. J., J. Y. Harrington, M. Tjernstrom, P. J. DeMott, A. Avramov, C. N. Long, S. M. Kreidenweis, P. Q. Olsson, and J. Verlinde, (2006): Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate?, BAMS, Vol.88, Iss. 4; pg. 541-550. ACIA, 2004: Impacts of a Warming Arctic: Arctic Climate Impact Assessment. Cambridge University Press, 1020pp. Additional Key Contact: Long, C. N. , Pacific Northwest National Laboratory Figure 1. Time series for the 2-day simulation plotted over Oliktok Point for Standard IN and M-PACE IN concentrations: (a) liquid water path (g

204

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Looking at the Full Spectrum for Water Vapor Looking at the Full Spectrum for Water Vapor Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Mlawer EJ, VH Payne, J Moncet, JS Delamere, MJ Alvarado, and DD Tobin. 2012. "Development and recent evaluation of the MT_CKD model of continuum absorption." Philosophical Transactions of The Royal Society A, 370, doi: 10.1098/rsta.2011.0295. Radiative cooling across the full infrared spectrum: The far-infrared (the left half of the figure, from 15 to 1000 microns) plays a key role in heat transfer in the atmosphere, but scientists could not measure it, and model calculations were consequently very uncertain. Field observations from

205

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Cloud Tomography: a Novel Method for Determining 3D Cloud Liquid Water Cloud Tomography: a Novel Method for Determining 3D Cloud Liquid Water Distribution Download a printable PDF Submitter: Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Huang, D., Y. Liu, and W. Wiscombe, 2007a: Determination of cloud liquid water distribution using 3D cloud tomography. J. Geophys. Res., submitted. Cloud tomography is a novel method for determining cloud water distribution by measuring cloud microwave emission from multiple directions. The upper plot shows a 2D cross-sectional snapshot of the liquid water structure of a stratocumulus cloud simulated by a large-eddy model. It also shows the four scanning microwave radiometers used to retrieve the cloud liquid water

206

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Quantifying the Number of Independent Pieces of Information in Profiles Quantifying the Number of Independent Pieces of Information in Profiles Download a printable PDF Submitter: Crewell, S., University of Cologne Loehnert, U., University of Cologne Turner, D. D., National Oceanic and Atmospheric Administration Ebell, K., University of Cologne Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Radiative Processes Journal Reference: Lohnert U, DD Turner, and S Crewell. 2009. "Ground-based temperature and humidity profiling using spectral infrared and microwave observations. Part I: Simulated retrieval performance in clear-sky conditions." Journal of Applied Meteorology and Climatology, 48(5), 1017-1032. Crewell S, K Ebell, U Loehnert, and DD Turner. 2009. "Can liquid water profiles be retrieved from passive microwave zenith observations?"

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"Roobik" Is Part of the Answer, Not a Puzzle "Roobik" Is Part of the Answer, Not a Puzzle Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: N/A Taking place during the arid Arctic winter, the RHUBC will obtain measurements in the far-infrared (15-40 microns), when the so-called "Arctic" infrared window between 16 and 40 microns is semi-transparent. Between February and March 2007 at the ACRF North Slope of Alaska site in Barrow, high-spectral-resolution observations will be collected by three state-of-the-art Fourier Transform Spectrometers sampling at different bands in the far-infrared. The Radiative Heating in Underexplored Bands Campaign, or RHUBC (pronounced "roobik"), will make detailed observations

208

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Determining the Future of CO2 Using an Earth System Model Determining the Future of CO2 Using an Earth System Model Download a printable PDF Submitter: Keppel-Aleks, G., University of Michigan Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Aerosol Life Cycle Journal Reference: Keppel-Aleks G, JT Randerson, K Lindsay, BB Stephens, JK Moore, SC Doney, PE Thornton, NM Mahowald, FM Hoffman, C Sweeney, PP Tans, PO Wennberg, and SC Wofsy. 2013. "Atmospheric carbon dioxide variability in the Community Earth System Model: evaluation and transient dynamics during the twentieth and twenty-first centuries." Journal of Climate, 26(13), doi:10.1175/JCLI-D-12-00589.1. How models, such as the Community Earth System Model, simulate the amount of CO2 in the atmosphere will likely hold the key to monitoring climate

209

Research Highlight  

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Tropical Clouds: from Jekyll to Hyde Tropical Clouds: from Jekyll to Hyde Submitter: Hagos, S. M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Hagos SM and R Leung. 2012. "Large-scale environmental variables and transition to deep convection in cloud resolving model simulations: A vector representation." Journal of Advances in Modeling Earth Systems, 4(M11001), 2012MS000155, doi:10.1029/2012MS000155. The relationship between the mean 400hPa heating (Khr-1437 ) at time = 0 and the projection onto the favorable large-scale moisture profile at time = -1 hr. From Jekyll to Hyde, this anvil cloud is an example of tropical clouds that evolve from fair-weather to stormy. Scientists at PNNL used observational

210

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Mixed-Phase Cloud Radiative Properties from M-PACE Microphysical Retrievals Mixed-Phase Cloud Radiative Properties from M-PACE Microphysical Retrievals Download a printable PDF Submitter: de Boer, G., University of Colorado, Boulder/CIRES Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: de Boer G, WD Collins, S Menon, and CN Long. 2011. "Using surface remote sensors to derive radiative characteristics of mixed-phase clouds: An example from M-PACE." Atmospheric Chemistry and Physics, 11, doi: 10.5194/acp-11-11937-2011. Measured and retrieved cloud properties on 10 October 2004. Included are (top to bottom) AHSRL bacscatter cross-section, AHSRL depolarization ratio, MMCR reflectivity, and profiles of liquid water content (LWC), ice water content (IWC), and liquid (r_{e,liq}) and ice (r$_{e,ice}$) effective

211

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Profiling Capability of High-Resolution Oxygen A-band Spectroscopy for Profiling Capability of High-Resolution Oxygen A-band Spectroscopy for Stratus Cloud Cover Submitter: Davis, A. B., Jet Propulsion Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Davis AB, IN Polonsky, and A Marshak. 2009. Space-Time Green Functions for Diffusive Radiation Transport, in Application to Active and Passive Cloud Probing. In Light Scattering Reviews, Volume 4, pp. 169-292. Ed. by A.A. Kohkanovsky, Heidelberg, Germany: Springer. Transmission: (a) Ratio of mean path Τ to cloud thickness Η times (1-g)τ plotted versus cosine of SZA μ0 and cloud optical depth τ; asymmetry factor g was set to 0.85, then delta-rescaled to 0.46. Given this ratio (>1/2) and Η or τ, one can infer the other cloud parameter.

212

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Satellite Retrievals of Mixed-phase Cloud Properties Satellite Retrievals of Mixed-phase Cloud Properties Download a printable PDF Submitter: Ou, S., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Ou SS, KN Liou, XJ Wang, A Dybdahl, M Mussetto, LD Carey, J Niu, JA Kankiewicz, S Kidder, and TH Von der Haar. 2009. "Retrievals of mixed-phase cloud properties during the National Polar-Orbiting Operational Environmental Satellite System." Applied Optics, 48(8), 1452-1462. Images of mixed-phase retrieved (a) τi, (b) De, (c) τw, and (d) re for the Terra/MODIS scene of 14 October 2001 over North Platte, Nebraska. Also shown are (e) retrieved τi and τw versus MODIS τ within the pink box and (f) retrieved De and re versus MODIS re within the pink box.

213

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Buffering of Ice Crystal Number Concentration to Ice Nucleus Abundance Buffering of Ice Crystal Number Concentration to Ice Nucleus Abundance Above Arctic Stratus Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies Ackerman, A., NASA - Goddard Institute for Space Studies Area of Research: Cloud Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Fridlind AM, B van Diedenhoven, AS Ackerman, A Avramov, A Mrowiec, H Morrison, P Zuidema, and MD Shupe. 2012. "A FIRE-ACE/SHEBA case study of mixed-phase Arctic boundary-layer clouds: Entrainment rate limitations on rapid primary ice nucleation processes." Journal of the Atmospheric Sciences, 69(1), doi:10.1175/JAS-D-11-052.1. Observed and simulated histograms of MMCR radar reflectivity (left) and

214

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Ground-Based Cloud Measurements Utilized to Evaluate the Simulation of Ground-Based Cloud Measurements Utilized to Evaluate the Simulation of Arctic Clouds in CCSM4 Download a printable PDF Submitter: de Boer, G., University of Colorado, Boulder/CIRES Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: de Boer G, W Chapman, JE Kay, B Medeiros, MD Shupe, S Vavrus, and JE Walsh. 2011. "A characterization of the present-day Arctic atmosphere in CCSM4." Journal of Climate, 25(8), doi:10.1175/JCLI-D-11-00228.1. Time-height cross-sections of simulated (top) and observed (second row) cloud phase at Barrow, Alaska. The difference between the frequencies of occurrence of each phase is indicated in the third row. Monthly distributions of liquid (dark) and ice (light) water paths at

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Modeled Compared to Measured O:C and H:C Elemental Ratios of Secondary Modeled Compared to Measured O:C and H:C Elemental Ratios of Secondary Organic Material Download a printable PDF Submitter: Martin, S., Pierce Hall School of Engineering and Applied Sciences Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Chen Q, Y Liu, N Donahue, J Shilling, and S Martin. 2011. "Particle-phase chemistry of secondary organic material: modeled compared to measured O:C and H:C elemental ratios provide constraints." Environmental Science & Technology, , 10.1021/es104398s. Figure 1. Measurements and predictions. The first row shows particle mass yields at 298 K. The second row shows the modeled and measured particle-average O:C and H:C ratios for increasing particle mass concentrations.

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Spectral Invariant Properties of Single-Scattering Albedo for Water Spectral Invariant Properties of Single-Scattering Albedo for Water Droplets and Ice Crystals Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Marshak A, Y Knyazikhin, JC Chiu, and WJ Wiscombe. 2012. "On spectral invariance of single scattering albedo for water droplets and ice crystals at weakly absorbing wavelengths." Journal of Quantitative Spectroscopy & Radiative Transfer, 113, 715-720. The ratio of ω0λ(r)/ω0λ(r0) plotted against ω0λ(r) for four wavelengths, λ=0.86, 1.65, 2.13 and 3.75 um. An example for the aggregates ice crystal habits is shown (see Yang et al. 2000. "Parameterization of

217

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Self-Regulation Strikes a Balance Between Hydrological Cycle, Radiation Self-Regulation Strikes a Balance Between Hydrological Cycle, Radiation Processes, and Intraseasonal Dynamic Variations Submitter: Stephens, G. L., Colorado State University Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Stephens, Graeme L., Webster, Peter J., Johnson, Richard H., Engelen, Richard, L'Ecuyer, Tristan. 2004: Observational Evidence for the Mutual Regulation of the Tropical Hydrological Cycle and Tropical Sea Surface Temperatures. Journal of Climate: Vol. 17, No. 11, pp. 2213-2224. The "humidistat" feedback mechanism suggests that the hydrological cycle and sea surface temperatures mutually regulate each other in phases: the destabilization phase, the convective phase, and the restoring phase. These

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Unique Properties of the Arctic Stratiform Cloud-Top Region Unique Properties of the Arctic Stratiform Cloud-Top Region Submitter: Shupe, M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Sedlar J, MD Shupe, and M Tjernström. 2011. "On the relationship between thermodynamic structure and cloud top, and its climate significance in the Arctic." Journal of Climate, 25(7), doi:10.1175/JCLI-D-11-00186.1. Occurrence frequency of low-level, stratiform cloud cases used in the analysis (black), percentage of these cases where the cloud top was identified to occur within the inversion (CII, gray), and percentage where the cloud top was observed to be capped by the inversion (CCI, white) for the ASCOS, SHEBA, and Barrow locations. The total number of cases analyzed

219

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First Measurements of Neutral Atmospheric Cluster and 1-2 Nm Particle First Measurements of Neutral Atmospheric Cluster and 1-2 Nm Particle Number Distributions During Nucleation Events Download a printable PDF Submitter: McMurry, P. ., University of Minnesota Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Jiang J, J Zhao, M Chen, J Scheckman, BJ Williams, FL Eisele, and PH McMurry. 2011. "First measurements of neutral atmospheric cluster and 1-2 nm particle number distributions during nucleation events." Aerosol Science and Technology, 45, doi:10.1080/02786826.2010.546817. Jiang J, M Chen, C Kuang, M Attoui, and PH McMurry. 2011. "Electrical mobility spectrometer using a diethylene glycol condensation particle counter for measurement of aerosol size distributions down to 1 nm."

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Dynamics and Atmospheric State on Cloud Vertical Overlap Dynamics and Atmospheric State on Cloud Vertical Overlap Download a printable PDF Submitter: Naud, C. M., Columbia University/NASA Goddard Institute for Space Studies Del Genio, A. D., NASA Mace, G., Utah State University Benson, S., Utah State University Clothiaux, E. E., Pennsylvania State University Kollias, P., McGill University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Naud, C, A Del Genio, GG Mace, S Benson, EE Clothiaux, and P Kollias. "Impact of dynamics and atmospheric state on cloud vertical overlap." Journal of Climate 218: 1758-1770. Mean overlap parameter α as a function of separation: (a,b) at SGP for all winter months of 2002-2004 and for 4 subsets of increasing 500 mb ω such

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

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Production Flux of Sea-Spray Aerosol Production Flux of Sea-Spray Aerosol Download a printable PDF Submitter: Schwartz, S. E., Brookhaven National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: de Leeuw G, EL Andreas, MD Anguelova, ER Lewis, C O'Dowd, M Schulz, and SE Schwartz. 2011. "Production flux of sea-spray aerosol." Reviews of Geophysics, 49, RG2001, doi:10.1029/2010RG000349. Lewis ER and SE Schwartz. 2004. Sea Salt Aerosol Production: Mechanisms, Methods, Measurements, and Models-A Critical Review. Washington DC: American Geophysical Union. Parameterizations of size-dependent SSA production flux evaluated for wind speed U10 = 8 m s-1. Also, central values (curves) and associated uncertainty ranges (bands) from Lewis and Schwartz (2004). Abscissa denotes

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Multifractal Analysis of Radiation in Clouds: 5000km to 50cm Multifractal Analysis of Radiation in Clouds: 5000km to 50cm Submitter: Lovejoy, S., McGill University Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Lovejoy, S., D. Schertzer, J. D. Stanway, 2001: "Direct Evidence of planetary scale atmospheric cascade dynamics," Phys. Rev. Lett. 86(22): 5200-5203. Left: Power spectrum of the 5 different aircraft measured liquid water data sets from the FIRE experiment (averaged over 10 equally logarithmically spaced points on the k-axis and vertically offset). The absolute slopes with Β = 1.45 is indicated (straight line on top of graph) for reference. The number of sets used to compute the average from top to bottom: 4, 3, 1, 2, 5. A constant aircraft speed of 100m/s has been assumed. Right: Ensemble

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A Tall Order: Climate Models Fall Short in Predicting African Sahel A Tall Order: Climate Models Fall Short in Predicting African Sahel Rainfall Download a printable PDF Submitter: Roehrig, R., Meteo-France CNRM/GMME/MOANA Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Roehrig R, D Bouniol, F Guichard, F Hourdin, and JL Redelsperger. 2013. "The present and future of the West African Monsoon: A process-oriented assessment of CMIP5 simulations along the AMMA transect." Journal of Climate, 26(17), doi:10.1175/jcli-d-12-00505.1. The wealth of data available from field campaigns between the Gulf of Guinea and the Sahara Desert allowed scientists to evaluate the ability of climate models to accurately predict rainfall in the area.

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Indirect Impact of Atmospheric Aerosols on an Ensemble of Deep Convective Indirect Impact of Atmospheric Aerosols on an Ensemble of Deep Convective Clouds Download a printable PDF Submitter: Grabowski, W., NCAR Morrison, H. C., NCAR Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Grabowski WW and H Morrison. 2011. "Indirect impact of atmospheric aerosols in idealized simulations of convective-radiative quasi-equilibrium. Part II: Double-moment microphysics." Journal of Climate, 24, 1897-1912. This paper extends the previous cloud-resolving modeling study concerning the impact of cloud microphysics on convective-radiative quasi-equilibrium (CRQE) over a surface with fixed characteristics and prescribed solar input, both mimicking the mean conditions on Earth. The current study

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Retrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Retrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Images Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Long, C. N., J. M. Sabburg, J. Calbo, and D. Pages, (2006): Retrieving Cloud Characteristics from Ground-based Daytime Color All-sky Images, JTech, 23, No. 5, 633–652. Long, C. N., J. M. Sabburg, J. Calbo, and D. Pages, (2006): Papers of Note: Retrieving Cloud Characteristics from Ground-based Daytime Color All-sky Images, BAMS, 87, No. 6, 743–744. Figure 1. Sky image (left) from 1300 LST Sept 4, 2004, and corresponding cloud decision image (right) denoting originally retrieved clear sky (blue), thin cloud (gray), and opaque cloud (white). Black denotes masked

226

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Weather Forecasting in the Tropics with Climate Models Is Feasible Weather Forecasting in the Tropics with Climate Models Is Feasible Submitter: Boyle, J., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Climate Model Forecast Experiments for TOGA-COARE. J. Boyle,S. Klein,G. Zhang,S. Xie,X. Wei. Accepted by Monthly Weather Review Figure 1. Profiles of the apparent heat source (Q1) at the TOGA-COARE central site for the observations and day-two forecasts of the CAM, CAM with Zhang modification (ZMO), and AM2 averaged over the entire TOGA-COARE period are shown. Units are degrees Kelvin day. The CAM with the Zhang modified deep convection produced the best fit to the observations. Proper simulation of both the magnitude and level of maximum heating were shown to

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The Significance of Multilayer Cloud Systems in Tropical Convection The Significance of Multilayer Cloud Systems in Tropical Convection Download a printable PDF Submitter: Stephens, G. L., Colorado State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Stephens, GL, and NB Wood. 2007. "Properties of tropical convection observed by millimeter-wave radar systems." Monthly Weather Review 135: 821-842. Storm classifications (derived from k-means clustering analysis) applied to MWR observations from (a) Manus during MJO, (b) Manus during MJO transition, (c) Indian Ocean (JASMINE experiment) during monsoon, and (d) tropical convection off the Florida coast (CRYSTAL-FACE experiment) of cloud and precipitation echo top heights. The relative frequencies of

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The Role of Microphysics Parameterization in Simulating Tropical Mesoscale The Role of Microphysics Parameterization in Simulating Tropical Mesoscale Convective Systems Download a printable PDF Submitter: Van Weverberg, K., Brookhaven National Laboratory Vogelmann, A. M., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Van Weverberg K, AM Vogelmann, W Lin, EP Luke, AT Cialella, P Minnis, MM Khaiyer, ER Boer, and MP Jensen. 2013. "The role of cloud microphysics parameterization in the simulation of mesoscale convective system clouds and precipitation in the Tropical Western Pacific." Journal of the Atmospheric Sciences, 70(4), doi:10.1175/JAS-D-12-0104.1. The spatial distribution of cloud types at 3 UTC on 27 December 2003 as observed by GOES-9 and as simulated by the three commonly used microphysics

229

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Spectrally Invariant Approximation Within Atmospheric Radiative Transfer Spectrally Invariant Approximation Within Atmospheric Radiative Transfer Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Marshak A, Y Knyazikhin, JC Chiu, and WJ Wiscombe. 2011. "Spectrally-invariant approximation within atmospheric radiative transfer." Journal of the Atmospheric Sciences, 68(12), doi:10.1175/JAS-D-11-060.1. Ratio of reflectance Rλ plus transmittance Tλ over single scattering albedo ω0λ plotted against the sum Rλ+Tλ for two cloud optical depths: 5 and 10. The aerosol optical depth at 0.55 μm is 0.2 (rural type of aerosol). Different dots correspond to different wavelengths from 0.4 to

230

Research Highlight  

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Cloud Regimes in the TWP and Their Evolution over the MJO Cloud Regimes in the TWP and Their Evolution over the MJO Download a printable PDF Submitter: Del Genio, A. D., NASA Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Chen, Y, and AD Del Genio. 2008. "Evaluation of tropical cloud regimes in observations and a general circulation model." Climate Dynamics doi:10.1007/s00382-008-0386-6. Mean highest cloud-top vertical profiles from ARSCL (solid) and ISCCP (dashed) for each ISCCP cloud regime at Manus. Relative frequency of occurrence of each cloud regime as a function of lag in pentads relative to the MJO peak for eight MJO events covering November-April of 1999-2003. Red = deep convective, orange = anvil, yellow = congestus, green = thin cirrus, blue = shallow cumulus, violet =

231

Research Highlight  

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Improved Simulation of Boundary Layer Clouds Improved Simulation of Boundary Layer Clouds Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1. Comparison of Boundary Layer Clouds Schemes in Climate Models with Satellite Observations Key Contributors: James McCaa, as part of his Ph.D. dissertation at University of Washington Chris Bretherton, University of Washington Dennis Hartmann, University of Washington Steven Ghan, Pacific Northwest National Laboratory Marine boundary layer clouds are among the most difficult clouds to represent in climate models. A team of atmospheric scientists from the University of Washington (UW) and the Pacific Northwest National Laboratory

232

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Influence of Humidified Aerosols on Lidar Depolarization Below Influence of Humidified Aerosols on Lidar Depolarization Below Ice-Precipitating Arctic Clouds Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies van Diedenhoven, B., NASA - Goddard Institute for Space Studies Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: van Diedenhoven B, AM Fridlind, and AS Ackerman. 2011. "Influence of humidified aerosol on lidar depolarization measurements below ice-precipitating Arctic stratus." Journal of Applied Meteorology and Climatology, 50(10), doi:10.1175/JAMC-D-11-037.1. Correlated MMCR radar reflectivities and DABUL lidar depolarizations below cloud base calculated with a reasonably low number of large, coarse-mode

233

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An Affordable, Flexible, and More Accurate Method for Computing Radiative An Affordable, Flexible, and More Accurate Method for Computing Radiative Transfer Submitter: Pincus, R., NOAA - CIRES Climate Diagnostics Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Pincus, R., H.W. Barker, J.J. Morcrette, A fast, flexible approximate technique for computing radiative transfer in inhomogenous cloud fields, J. Geophys. Res., Vol. 108, No. D13, 4376, doi:10.1029/2002JD003322, 2003 Key Contributors: H.W. Barker, J.J. Morcrette Cloud radiative feedback-the amount of solar radiation that is absorbed by clouds before it reaches the earth and bounces back into the atmosphere-is the single most important effect determining the magnitude of possible climate responses to human activity. However, cloud properties

234

Research Highlight  

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Statistics of Vertical Velocities from Monsoonal Convection with Statistics of Vertical Velocities from Monsoonal Convection with Verification Download a printable PDF Submitter: Collis, S. M., Argonne National Laboratory Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Collis S, A Protat, PT May, and C Williams. 2013. "Statistics of storm updraft velocities from TWP-ICE including verification with profiling measurements." Journal of Applied Meteorology and Climatology, 52(8), 10.1175/jamc-d-12-0230.1. A scatter plot of profiler-derived vertical velocities versus the scanning radar-retrieved vertical velocities. Dots represent minimum values, triangles represent mean values, and diamonds represent maximum values. The solid line is a fit to all maximum, mean, and minimum values, while the

235

Research Highlight  

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Splitting the Solar Spectrum: Sometimes Less Is Better Than More Splitting the Solar Spectrum: Sometimes Less Is Better Than More Submitter: Pawlak, D. T., Pennsylvania State University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Pawlak, DT, EJ Clothiaux, MF Modest, and JNS Cole. 2004. Full-Spectrum Correlated-k Distribution for Shortwave Atmospheric Radiative Transfer. Journal of the Atmospheric Sciences 61: 2588-2601. Of all the physical and dynamical calculations required in numerical weather prediction and climate modeling, radiation calculations consume the most computational time. This is because the radiation transfer physics of the atmosphere involve molecular absorption that occurs in narrowly defined absorption bands of the electromagnetic spectrum. The exact location in the

236

Research Highlight  

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New Technique Successful for Measuring Thickness of Broken Clouds New Technique Successful for Measuring Thickness of Broken Clouds Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Marshak, A, Y Knyazikhin, K.D. Evans, and W.J. Wiscomb, (2004): The "RED versus NIR" Plane to Retrieve Broken-Cloud Optical Depth from Ground-Based Measurements, Journal of Atmospheric Sciences , 61, 1911-1925. In the "lookup table," vertical lines within the curves show calculated values of cloud optical depth. Observed data points show actual RED and NIR values; the cloud cover and optical depth are read from the overlaid lines. Cloud optical depth (or thickness) is a fundamental property for calculating the amount of solar radiation entering and leaving earth's

237

Research Highlight  

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General Formulation for Representing Cloud-to-Rain Transition in General Formulation for Representing Cloud-to-Rain Transition in Atmospheric Models Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Aerosol, Cloud Modeling, Cloud Properties Journal Reference: Liu, Y., P. H. Daum, R. McGraw, M. Miller, and S. Niu, 2007: Theoretical formulation for autoconversion rate of cloud droplet concentration. Geophys. Res. Lett., 34, L116821, doi:10.1029/2007GL030389 Figure 1. The typical drop radius r* as a function of the volume-mean radius r3 derived from the new theoretical formulation. Note that a constant r* corresponds to the commonly used assumption that the autoconversion rate for droplet concentration is linearly proportional to

238

Research Highlight  

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Intercomparison of Longwave Radiative Heating Algorithms Intercomparison of Longwave Radiative Heating Algorithms Submitter: Baer, F., University of Maryland Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Baer, F., N. Arsky, J. J. Charney, and R. G. Ellingson. 1996. "Intercomparison of Heating Rates Generated by Global Climate Model Longwave Radiation Codes." J. Geoph. Res., 101, D21, 26589-26603. 30 levels of longwave heating rates for all algorithms tested at the five locations for the high cloud Same as Figure 1 but with the clouds removed (clear sky assumption). Same as Figure 1 but a different view. Averaged heating rates and heating rates of averaged. Same as Figure 3 but with the clouds removed (clear sky assumption).

239

Research Highlight  

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Measurement of Convective Entrainment Using Lagrangian Particles Measurement of Convective Entrainment Using Lagrangian Particles Download a printable PDF Submitter: Romps, D., University of California, Berkeley Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Yeo K and DM Romps. 2013. "Measurement of convective entrainment using Lagrangian particles." Journal of the Atmospheric Sciences, 70(1), doi:10.1175/JAS-D-12-0144.1. Trajectories of seven particles that are entrained at the cloud base and transported to the cloud top. Colors denote the mixing ratio of condensed water. Previous work by Romps (2010) found large entrainment rates of ~100% per kilometer for deep convection using a new technique for large-eddy simulations (LES) called "Eulerian direct measurement". These results

240

Research Highlight  

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a Cloud-Resolving Model to Identify the Role of Aerosols on Clouds a Cloud-Resolving Model to Identify the Role of Aerosols on Clouds and Precipitation Download a printable PDF Submitter: Tao, W., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Aerosol, Cloud Modeling Journal Reference: 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., (accepted). Zeng, X., W.-K. Tao, S. Lang, A. Y. Hou, M. Zhang, and J. Simpson, 2007: On the sensitivity of atmospheric ensemble states to cloud microphyics in long-term cloud-resolving model simulations. J. Meteor. Soc. Jpn., (submitted). Figure 1. Dirty environment (or high CCN) enhances precipitation in a

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241

Research Highlight  

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Characterizing Mixed-Phase Clouds from the Ground: a Status Report Characterizing Mixed-Phase Clouds from the Ground: a Status Report Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Shupe, MD, JS Daniel, G De Boer, EW Eloranta, P Kollias, E Luke, CN Long, DD Turner, and J Verlinde. 2008. "A focus on mixed-phase clouds: The status of ground-based observational methods." Bulletin of the American Meteorological Society, accepted for publication in October 2008 issue. Figure 1. Retrieved cloud properties for 9 October 2004 at Barrow: (a) Multisensor cloud phase classification, (b) radar Doppler spectra cloud phase classification, (c) ice water content, (d) ice particle effective radius, (e) adiabatic liquid water content scaled to the microwave

242

Research Highlight  

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Simulating the Impact of Aerosols on Tropical Deep Convection Simulating the Impact of Aerosols on Tropical Deep Convection Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Morrison H and WW Grabowski. 2011. "Cloud-system resolving model simulations of aerosol indirect effects on tropical deep convection and its thermodynamic environment." Atmospheric Chemistry and Physics, 11(20), doi:10.5194/acp-11-10503-201. Profiles of ensemble- and horizontally averaged a) cloud water mixing ratio, b) rain mixing ratio, c) ice mixing ratio, d) cloud droplet concentration, e) rain number concentration, and f) ice number concentration, Ni, for pristine (blue), polluted (green), and highly

243

Research Highlight  

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A Bulk Parameterization of Giant Cloud Condensation Nuclei A Bulk Parameterization of Giant Cloud Condensation Nuclei Download a printable PDF Submitter: Kogan, Y., University of Oklahoma - CIMMS Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Mechem, D. B., and Y. L. Kogan, 2007: A bulk parameterization of giant CCN. J. Atmos. Sci., conditionally accepted. Mean quantities as a function of GCCN concentration for polluted (squares) and clean (diamonds) background CCN conditions. Radiative quantities as a function of GCCN concentration for polluted and clean background CCN conditions shown in (a) optical depth; (b) albedo; (c) susceptibility; and (d) susceptibility relative to the control simulations without GCCN. A parameterization for giant cloud condensation nuclei (GCCN), suitable for

244

Research Highlight  

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Using Copulas to Model Complex Clouds Using Copulas to Model Complex Clouds Download a printable PDF Submitter: Oreopoulos, L., NASA Norris, P. M., NASA - GMAO/UMBC - GEST Hou, A., NASA - Goddard Space Flight Center Tao, W., NASA - Goddard Space Flight Center Zeng, X., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Norris PM, L Oreopoulos, AY Hou, WK Tao, and X Zeng. 2008. "Representation of 3D heterogeneous cloud fields using copulas: Theory for water clouds." Quarterly Journal Royal Meteorological Society, 134(636), doi:10.1002/qj.321. Contours containing (brown-80%, orange-60%, cyan-40%, and blue-20%) of the joint inter-layer S probability, such that the probability densities within each contour are larger than those outside. Thick contours are from the GCE

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Research Highlight  

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When Pollution Gets a Whiff of Trees When Pollution Gets a Whiff of Trees Download a printable PDF Submitter: Shilling, J., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Shilling JE, RA Zaveri, JD Fast, L Kleinman, M Alexander, MR Canagaratna, E Fortner, JM Hubbe, JT Jayne, A Sedlacek, A Setyan, S Springston, DR Worsnop, and Q Zhang. 2013. "Enhanced SOA formation from mixed anthropogenic and biogenic emissions during the CARES campaign." Atmospheric Chemistry and Physics, 13, doi:10.5194/acp-13-2091-2013. Organic aerosols from tree emissions increase when mixed with manmade sources, impacting the climate. It's easy to visualize particles and gases from vehicle exhaust or burning trash wafting into the atmosphere. It's harder to envision similar gases

246

Research Highlight  

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Cloud-Top Humidity Inversions and the Maintenance of Arctic Mixed-Phase Cloud-Top Humidity Inversions and the Maintenance of Arctic Mixed-Phase Stratocumulus Submitter: Solomon, A., NOAA/ESRL/Physical Sciences Division Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Solomon A, MD Shupe, O Persson, and H Morrison. 2011. "Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion." Atmospheric Chemistry and Physics, 11, doi:10.5194/acp-11-10127-2011. Soundings of mid-day decoupled stratocumulus at Barrow, Alaska. (A) Measured 17:34Z 8 April 2008 at (71.33N,156.61W). (B) 50-m LES simulation 20Z 8 April 2008 at (71.33N,156.91W). Gray shading marks the extent of the

247

Research Highlight  

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Atmospheric Moistening by Clouds Sustains Madden-Julian Oscillation Atmospheric Moistening by Clouds Sustains Madden-Julian Oscillation Download a printable PDF Submitter: Hagos, S. M., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: N/A Outgoing longwave radiation (OLR Wm-2) signals in the tropics averaged between 10°S and 10°N from (a) a regional simulation with moisture constrained by observations and (b) NOAA-CPC satellite observations. The lines mark the eastward MJO propagation speed of 4 m/s. The constrained model is able to reproduce the key OLR features in the observations. Originating over the Indian Ocean, the Madden-Julian Oscillation (MJO) is an equatorial planetary-scale envelope of complex multi-scale cloud systems

248

Research Highlight  

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Comparisons Between Radiosondes and Remote Sensors During the 2004 NSA Comparisons Between Radiosondes and Remote Sensors During the 2004 NSA Arctic Winter Radiometric Experiment Submitter: Westwater, E. R., University of Colorado Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Radiative Processes Journal Reference: Mattioli, V, ER Westwater, D Cimini, JS Liljegren, BM Lesht, SI Gutman, and FJ Schmidlin. 2007. "Analysis of radiosonde and ground-based remotely sensed PWV data from the 2004 North Slope of Alaska Arctic Winter Radiometric Experiment." Journal of Atmospheric and Oceanic Technology 243: 415-431. Description of radiosondes launched during the 2004 NSA Arctic Winter Radiometric Experiment. Dual-radiosonde launch of the Vaisala RS90 and Chilled Mirror radiosondes is pictured here.

249

Research Highlight  

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Using the ACRF Shortwave Spectrometer to Study the Transition Between Clear Using the ACRF Shortwave Spectrometer to Study the Transition Between Clear and Cloudy Regions Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Chiu, J., University of Reading Knyazikhin, Y., Boston University Pilewskie, P., University of Colorado Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Chiu C, A Marshak, Y Knyazikhin, P Pilewskie, and W Wiscombe. 2009. "Physical interpretation of the spectral radiative signature in the transition zone between cloud-free and cloudy regions." Atmospheric Chemistry and Physics, 9(4), 1419-1430. (a) Total sky images on 18 May 2007, and (b) plot of SWS normalized zenith radiances. In (b), arrows pointed at the time axis correspond to the times

250

Research Highlight  

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A Simple Stochastic Model for Generating Broken Cloud Optical Depth and A Simple Stochastic Model for Generating Broken Cloud Optical Depth and Cloud Top Height Fields Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Prigarin, S, and A Marshak. 2008. "A simple stochastic model for generating broken cloud optical depth and cloud top height fields." Journal of Atmospheric Sciences, in press. Fig. 1. A 68-km by 68-km region in Brazil centered at 17o S and 42o W collected on August 9, 2001, at 1015 local time. The solar zenith angle 410; the solar azimuth angle 23o (from the top). (a) moderate-resolution imaging spectroradiometer (MODIS) true color red, green, blue (RGB) 1-km

251

Research Highlight  

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To Rain or Not to Rain...Aerosols May Be the Answer To Rain or Not to Rain...Aerosols May Be the Answer Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Niu F and Z Li. 2012. "Systematic variations of cloud top temperature and precipitation rate with aerosols over the global tropics." Atmospheric Chemistry and Physics, 12, doi:10.5194/acp-12-8491-2012. Cloud-top temperature (A, C) and ice water path (B, D) as functions of AI/AOT for warm (blue dots) and cold (red dots) base mixed-phase clouds and liquid clouds (green dots) over the ocean (upper panels) and land (lower panels). The right-hand axes of (A) and (C) are for liquid clouds. Precipitation rate as a function of AI for mixed-phase (blue dots) and

252

Research Highlight  

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AERI-ER at the SHEBA Ice Station: Far Infrared H2O Continuum AERI-ER at the SHEBA Ice Station: Far Infrared H2O Continuum Submitter: Revercomb, H. E., University of Wisconsin, Madison Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Tobin, D.C., F.A. Best, P.D. Brown, S.A. Clough, R.G. Dedecker, R.G. Ellingson, R.K. Garcia, H.B. Howell, R.O. Knuteson, E.J. Mlawer, H.E. Revercomb, J.F. Short, P.F.W. van Delst, and V.P. Walden, 1999. "Downwelling spectral radiance observations at the SHEBA ice station: Water vapor continuum measurements from 17 to 26μm," JGR 104(D2): 2081-2092 Figure 1. Comparison of clear sky downwelling radiance spectra measured with the University of Wisconsin AERI system at the SGP CART site near Lamont, Oklahoma and with the extended range AERI at the SHEBA Ice Station,

253

AFRD - Research Highlights  

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Research Highlights Home Organization Outreach and Diversity Highlights Safety Other Websites and Labs Intramural News recently reported (and some we're still making...) Bookmark...

254

Research Highlights Sorted by Submission Data  

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HighlightsSort HighlightsSort Form Submit a New Research Highlight Sort Highlights Submitter Title Research Area Working Group Submission Date DOE Progress Reports Notable Research Findings for 2001-2006 Biological and Environmental Research Abstracts Database Research Highlights Summaries Research Highlights sorted by Submission Data "Invisible" Giants in the Sky ARM ASR Kassianov, E. "Radiance Assimilation" Correction Method Improves Water Vapor Radiosonde Observations in the Upper Troposphere ARM Soden, B. J. "Roobik" Is Part of the Answer, Not a Puzzle ARM Turner, D. D. 2007 Floods Not a Complete Washout in U.S. Great Plains ARM ASR Bhattacharya, A. A "Little" Respect: Droplet Nucleation Finally Included in Global Climate Model ARM Ghan, S. J.

255

ARM Climate Research Facility  

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banner banner Home | People | Site Index Atmospheric Radiation Measurement Climate Research Facility US Department of Energy About Science Campaigns Sites Instruments Measurements Data News Publications Education Become a User Recovery Act Mission FAQ Outreach Displays History Organization Participants Facility Statistics Forms Contacts Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings Propose a Campaign Submitting Proposals: Guidelines Featured Campaigns Campaign Data List of Campaigns Aerial Facility Eastern North Atlantic Mobile Facilities North Slope of Alaska Southern Great Plains Tropical Western Pacific Location Table Contacts Instrument Datastreams Value-Added Products PI Data Products Field Campaign Data Related Data

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Lab women researchers highlighted  

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813women 04082013 Lab women researchers highlighted Anne M Stark, LLNL, (925) 422-9799, stark8@llnl.gov Printer-friendly The Laboratory's Dawn Shaughnessy is one of the women...

257

Research Highlights | ORNL Neutron Sciences  

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Home Research Highlights Nanotechnology Research Highlights Nanotechnology Entering a new phase: First observation of polymer interphase in nanoconfinement at SNS...

258

CFN | Research Highlights Archive  

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Center for Functional Nanomaterials Research Highlights Archives Center for Functional Nanomaterials Research Highlights Archives Measurement of Spin Torque Non-adiabaticity in Magnetic Vortices Tuesday, December 10, 2013 Thermopower of Highly Conducting Au-C Bonded Single-molecule Circuits Tuesday, October 22, 2013 Resolution Limits of Electron-beam Lithography Pushed Towards the Atomic Scale Tuesday, October 22, 2013 Polymer Solar Cells Employing Förster Resonance Energy Transfer Monday, August 19, 2013 Mesoscale Linear Assembly of Nanostructures Monday, July 8, 2013 Sub 15-nm Patterns for Magnetic Recording Using Block Copolymers Monday, July 8, 2013 Engineering Catalytic Contacts with Binary Nanocrystal Superlattices Sunday, April 7, 2013 Chemical Modification of Self-Assembled Block Copolymers for Area-Selective Formation of Metal Oxide Nanostructures

259

Argonne CNM: Research Highlights  

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Recent Research Highlights Recent Research Highlights Optimizing Self-Assembly to Enable Photocatalysis (December 2013) Casimir Force Reduction through Nanostructuring (December 2013) South Pole Telescope Detector Aids Study of the Universe (November 2013) Surface Plasmon Resonance in Interfaced Heterodimers (October 2013) Visualizing Short-Range Charge Transfer at Interfaces (September 2013) Bio-Assisted Nanophotocatalyst for Hydrogen Production (August 2013) Large Wave-Vector Phonon Modes in Silicon Nanomembranes (July 2013) Nanomechanical Resonator Self-Assembled from Nanoparticles (June 2013) Scientists Detect Residue that has Hindered Efficiency of Promising Type of Solar Cell (May 2013) Imaging Nanoscale Polarization in Ferroelectrics with Coherent X-Rays (May 2013) Chiral "Pinwheels" Self-Assembled from C60 and Pentacene (April 2013)

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Research Highlights | ORNL Neutron Sciences  

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Research Highlights For all the latest highlights on research at HFIR and SNS, please see the links at left. Featured Research Neutron diffraction reveals semiconducting phase and...

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261

ARM Climate Research Facility  

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TR-081.2 iii Abstract This report provides a short description of the Atmospheric Radiation Measurement (ARM) Climate Research Facility microwave radiometer (MWR) Retrieval...

262

Advanced Materials Research Highlights | ORNL  

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Advanced Materials | Research Highlights Research Highlights 1-10 of 44 Results Prev 12345 Next Topotactic valence state control in epitaxial multivalent oxides July 17, 2013 -...

263

Sector 6 Research Highlights  

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MM-Group Home MM-Group Home MMG Advisory Committees Beamlines 4-ID-C Soft Spectroscopy 4-ID-D Hard Spectroscopy 6-ID-B,C Mag. Scattering 6-ID-D HighE Scattering 29-ID IEX - ARPES,RSXS Getting Beamtime Sector Orientation Sector 4 Orientation Sector 6 Orientation Publications (4-ID) Publications (6-ID) Contact Us APS Ring Status Current APS Schedule Highlights of research on Sector 6 Teasing Out the Nature of Structural Instabilities in Ceramic Compounds Teasing Out the Nature of Structural Instabilities in Ceramic Compounds March 12, 2013 Researchers have used beamlines 6-ID-B at the APS and XmAS at the ESRF to probe the structure of the rare-earth magnetic material europium titanate. In a magnetic field, the optical properties of this system change quite dramatically, presenting hope of a strong magneto-electric material for potential use in new memory, processing, and sensor devices.

264

From: Nature Research Highlights  

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Renewal White Paper Renewal White Paper Winner of AAAS Science Education Prize Visits Argonne SESAME and the APS: Opening Doors Helps the Light Shine In Taking the FaST Track to Synchrotron X-ray Science A Vote of Thanks! APS News Archives: 2012 | 2011 | 2010 | 2009 2008 | 2007 | 2006 | 2005 2004 | 2003 | 2002 | 2001 2000 Subscribe to APS News rss feed From: Nature Research Highlights Physical Chemistry: "Electrons with a Twist" DECEMBER 1, 2008 Bookmark and Share Nature Magazine The direction of an electron's spin is sufficient to determine the decomposition rate of the two mirror-image forms of a molecule. Richard Rosenberg of Argonne National Laboratory in Illinois and his colleagues drew this conclusion after firing X-rays at a magnetic iron-nickel alloy coated with thin layers of 2-butanol. This freed

265

ARM Climate Research Facility  

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1 ARM Climate Research Facility Quarterly Value-Added Product Report Chitra Sivaraman August 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S....

266

ARM Climate Research Facility  

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1 ARM Climate Research Facility Quarterly Value-Added Product Report Chitra Sivaraman June 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S....

267

ARM Climate Research Facility  

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0 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman May 2013 DISCLAIMER This report was prepared as an account of work sponsored by the U.S....

268

Research Highlights | Neutron Science | ORNL  

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Research Highlights Research Highlights Biology & Medicine Biotechnology & Energy Fundamental Physics Imaging Magnetism Materials Nanotechnology Superconductivity Facilities and Capabilities Instruments User Program Publications and Resources Science and Education News and Awards NScD Careers Supporting Organizations Neutron Science Home | Science & Discovery | Neutron Science | Research Highlights SHARE Research Highlights No current Research Highlights found. 1-10 of 43 Results Comprehensive phonon "map" offers direction for engineering new thermoelectric devices January 08, 2014 - To understand how to design better thermoelectric materials, researchers are using neutron scattering at SNS and HFIR to study how a compound known as AgSbTe2, or silver antimony telluride, is

269

ARM Climate Research Facility  

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Recovery Act Recovery Act Learn about ARM's efforts. The Atmospheric Radiation Measurement (ARM) Climate Research Facility is a U.S. Department of Energy scientific user facility, providing data from strategically located in situ and remote sensing observatories around the world. [ Live Data Displays ] Featured Data 09.19.2013 New ARM Best Estimate Land Product Contains Critical Soil Quantities for Describing Land Properties 09.12.2013 Value-Added Product Estimates Planetary Boundary Layer Height from Radiosondes 08.29.2013 New Data Available for Precipitation Value-Added Product Feature12.30.2013 Pole Position: New Field Campaigns Explore Arctic and Antarctic Atmosphere Pole Position: New Field Campaigns Explore Arctic and Antarctic Atmosphere For the first time, ARM ventures to Antarctica for one of several newly

270

Research Highlights | ORNL Neutron Sciences  

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Nanotechnology Archive Research Highlights Nanotechnology Archive Reflectivity Studies of Layered Nanoassemblies Researchers are using the Liquids Reflectometer at SNS to probe the...

271

Research Highlights Sorted by Research Area  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Area Research Area Radiation Processes | Cloud Distributions/Characterizations | Surface Properties | General Circulation and Single Column Models/Parameterizations | Aerosol Properties | Atmospheric Thermodynamics and Vertical Structures | Clouds with Low Optical [Water] Depths (CLOWD) | Vertical Velocity | Broadband Heating Rate Profile (BBHRP) | Cloud-Aerosol-Precipitation Interactions | Cloud Processes | Aerosol Processes Radiation Processes Alexandrov, M. D. Optical Depth Measurements by Shadowband Radiometers and Their Uncertainties ARM Berg, L. Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP ARM Bergmann, D. The Influence of Regional Anthropogenic Emission Reductions on Aerosol Direct Radiative Forcing ASR Bhattacharya, A. Burning on the Prairies ARM

272

Argonne CNM: 2005 Research Highlights  

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5 Highlights Mixed Metals not so Mixed Up at the Nano Level (November 2005) Diamond Nanotube Technology Promises New Electronics Products (September 2005) Argonne researchers...

273

Argonne CNM: 2010 Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Archives: 2010 Research Highlights Quantum Dot-Induced Transparency (December 2010) Molecular Stencils Bring New Possibilities for Solar Energy (November 2010) New equation could...

274

Research Highlights | Clean Energy | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

Clean Energy Clean Energy Research Areas Research Highlights Facilities and Centers Tools & Resources News and Awards Supporting Organizations Clean Energy Home | Science & Discovery | Clean Energy | Research Highlights SHARE Research Highlights 1-20 of 48 Results Advances in Understanding Durability of the Building Envelope: ORNL Research November 22, 2013 - Moisture, and its accompanying outriders - things like mold, corrosion, freeze damage, and decay - present powerful threats to the durability and long-term performance of a building envelope. First Annual Housing Innovation Award Winners Announced November 22, 2013 - On October 4, 2013, the US Department of Energy (DOE) presented the inaugural winners of the firstever Housing Innovation Awards.

275

DOE/SC-ARM-11-024 ARM Climate Research Facility ANNUAL REPORT...  

NLE Websites -- All DOE Office Websites (Extended Search)

2011 Recovery Act HIGHLIGHTS October 2010 * Doppler lidars tested at the Atmospheric Radiation Measurement (ARM) Climate Research Facility's Southern Great Plains (SGP) site. *...

276

Argonne CNM: 2007 Research Highlights  

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7 Highlights 7 Highlights CNM Research Featured in Journal (November 2007) Heavier hydrogen on the atomic scale reduces friction (November 2007) High-performance, flexible nanotechnology hydrogen sensors (Nanowerk Spotlight, October 11, 2007) CNM Research Highlighted in Scientific Journal (September 2007) Researchers improve ability to write and store information on electronic devices (September 2007) Palladium Nanoparticle Electrodeposition on Nanotubes Results in New Flexible Hydrogen Sensors (August 2007) Nano-boric acid makes motor oil more slippery (August 2007) Nanotechnology helps scientists make bendy sensors for hydrogen vehicles (July 2007) Tightly Packed Molecules Lend Unexpected Strength to Nanothin Sheet of Material (July 2007) Getting the 'Hole' Picture Up Close (photonics.com, June 2007)

277

RESEARCH HIGHLIGHTS State of fusion  

E-Print Network (OSTI)

RESEARCH HIGHLIGHTS State of fusion In the 1950s,the promise of controlled nuclear fusion, although there is still some way to go to realize the dream,the latest status report on fusion research compiled by the International Fusion Research Council (Nucl. Fusion 45,A1­A28; 2005) provides good reason

Loss, Daniel

278

Solid-State Lighting: Research Highlights  

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Research Highlights on Twitter Bookmark Solid-State Lighting: Research Highlights on Google Bookmark Solid-State Lighting: Research Highlights on Delicious Rank Solid-State...

279

ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

3 3 ARM Climate Research Facility Quarterly Value-Added Product Report Chitra Sivaraman October 2011 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

280

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Home › ResearchHighlights › Biology & Medicine Home › ResearchHighlights › Biology & Medicine Research Highlights Biology & Medicine New technique for improving cancer detection Contact:Maria Cekanova Neutrons help shed light on critical protein activity that protects our DNA Published Work: "A new structural framework for integrating replication protein A into DNA processing machinery" Contact: Walter Chazin SNS researchers overcome the freezing sample problem in biostudies (2012) Published Work: "Water-protein dynamic coupling and new opportunities for probing it at low to physiological temperatures in aqueous solutions" Contact: Eugene Mamontov Studying how a protein's dynamics can take down a killer (2012) Contact: Melissa Sharp Martha "cow-laborates" to help unravel protein structure in milk

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Argonne CNM: 2011 Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Archive: 2011 Research Highlights Archive: 2011 Research Highlights Monitoring the Transformation of Silver Nanowires into Gold Nanotubes with in situ Transmission X-Ray Microscopy (December 2011) Batteries Get a Quick Charge with New Anode Technology (November 2011) Small Defects Mean Big Problems for Industrial Solar Cells (October 2011) Luminescent Solar Concentrators Improved by Microcavity Effects (September 2011) New Etching Technique: Sequential Infiltration Synthesis (August 2011) Bifunctional Plasmonic/Magnetic Nanoparticles (August 2011) Structural Consequences of Nanolithography (August 2011) Thinnest Nanofiltration Membrane to Date (July 2011) STM of individual grains in CVD-grown graphene (June 2011) New Inorganic Semiconductor Layers Hold Promise for Solar Energy (June 2011)

282

Research Highlights Sorted by Title  

NLE Websites -- All DOE Office Websites (Extended Search)

Title Title "Invisible" Giants in the Sky ARM ASR Kassianov, E. "Radiance Assimilation" Correction Method Improves Water Vapor Radiosonde Observations in the Upper Troposphere ARM Soden, B. J. "Roobik" Is Part of the Answer, Not a Puzzle ARM Turner, D. D. 2007 Floods Not a Complete Washout in U.S. Great Plains ARM ASR Bhattacharya, A. A "Little" Respect: Droplet Nucleation Finally Included in Global Climate Model ARM Ghan, S. J. A Bulk Parameterization of Giant Cloud Condensation Nuclei ARM Kogan, Y. A Climatology of Midlatitude Continental Cloud Properties and Their Impact on the Surface Radiation Budget ARM Dong, X. A Comparison of Integrated Water Vapor Sensors: WVIOP-96 ARM Liljegren, J. C. A Consistency Analysis of ARESE Aircraft Measurements ARM

283

Research Highlights Sorted by Submitter  

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Submitter Submitter A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A Ackerman, A. Buffering of Ice Crystal Number Concentration to Ice Nucleus Abundance above Arctic Stratus ARM To Be or Not To Be Liquid? The Challenge of Arctic Mixed-Phase Cloud Modeling ARM Tropical Rain Clouds Still a Challenge to Cloud-Resolving Models ARM ASR Understanding Ice Formation in Arctic Mixed-Phase Boundary-Layer Clouds During ISDAC ARM Ackerman, T. P. Progress in Understanding Water Vapor's Role in Models ARM Quantifying the Magnitude of Anomalous Solar Absorption ARM Shortwave Absorption in Tropical Clouds ARM Structure of Cirrus Properties and its Coupling with the State of the Large-Scale Atmosphere ARM The k-Distribution Method for a SW Radiative Transfer Model ARM Ahlgrimm, M.

284

Radiation Measurement (ARM) Climate Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Sponsored by the U.S. Department of Energy's (DOE) Office of Science, the Atmospheric Radiation Measurement (ARM) Climate Research Facility was established in 1990 to improve...

285

ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

2 2 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman November 2012 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

286

ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

8 8 ARM Climate Research Facility Quarterly Value-Added Product Report Chitra Sivaraman June 2012 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

287

ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

1 1 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman October 2013 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

288

ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

2 2 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman January 2013 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

289

ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

5 5 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman July 2013 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

290

ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

2 2 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman February 2012 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

291

ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

6 6 ARM Climate Research Facility Spectral Surface Albedo Value-Added Product (VAP) Report S McFarlane K Gaustad C Long E Mlawer July 2011 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

292

Research Highlights | Nuclear Science | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

News and Awards News and Awards Nuclear Science Home | Science & Discovery | Nuclear Science | Research Highlights SHARE Research Highlights 1-3 of 3 Results Neutron scattering continues as a vital tool in superconductivity studies January 01, 2011 - In 2008, the totally unexpected discovery of a New class of superconductors, the iron pnictides, set off A Feverish international effort to understand them. Fabrication and Characterization of Uranium-based High Temperature Reactor Fuel June 01, 2013 - The Uranium Fuel Development Laboratory is a modern R&D scale lab for the fabrication and characterization of uranium-based high temperature reactor fuel. Light Water Reactor Fuel Cladding Research June 01, 2013 - ORNL is the focus point for Light Water Reactor (LWR)

293

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Biology & Medicine Archive Biology & Medicine Archive Research Highlights Biology & Medicine Archive Small-Angle Neutron Scattering Team Finds Structural Differences in Sindbis Virus Particles from Different Host Species (2010) Published Work: "The Structure of Sindbis Virus Produced from Vertebrate and Invertebrate Hosts as Determined by Small-Angle Neutron Scattering" Contact: Flora Meilleur Targeted Drug Delivery Systems Studies of the unique structure of synthetic molecules will help in the development of drugs that can target diseased areas of the body. This researched on dendrimers revealed how molecules function within solutions at different pH levels. (2008) Research in progress. Contact: Wei-Ren Chen "Intelligent" Polymers for Biomedical Technologies

294

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Superconductivity Superconductivity Research Highlights Superconductivity Archive New Neutron Studies Support Magnetism's Role in Superconductors Recent neutron scattering experiments give strong evidence that if superconductivity is related to a material's magnetic properties, the same mechanisms are behind both copper-based, high-temperature superconductors and the newly discovered iron-based superconductors. The research was performed at SNS and HFIR and the ISIS Facility at Rutherford Appleton Laboratory in England. (2010) Published Work: "Evolution of spin excitations into the superconducting state in FeTe1-xSex" Contact: Mark Lumsden Advances in Unconventional Iron-Based Superconductors The discovery of more diverse superconducting materials will lead to more

295

PNNL: Research Highlights: Fundamental & Computational Sciences...  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Directorate Highlights Latest Highlights Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid PhaseResearch could help scientists predict how carbon is stored...

296

Chemical Sciences Division: Research: Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Highlights Vinylidene Formation Following Carbon K-shell Photo-ionization of Acetylene Michael H. Prior, Ali Belkacem Photo Electron Angular Distributions Michael H. Prior, Ali...

297

ARM News &#187; Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Effect of Environmental Instability Effect of Environmental Instability on the Sensitivity of Convection to the Rimed Ice Species Fri, 13 Dec 2013 23:04:03 +0000 All Mixed Up—Probing Large and Small Scale Turbulence Structures in Continental Stratocumulus Clouds Mon, 09 Dec 2013 15:38:33 +0000 Ground Stations Likely Get a Boost from Satellites to Estimate Carbon Dioxide Emissions Wed, 04 Dec 2013 23:21:01 +0000 Spectro-microscopic Measurements of Carbonaceous Aerosol Aging in Central California Fri, 22 Nov 2013 20:34:17 +0000 Digging Into Climate Models' Needs with SPADE Thu, 14 Nov 2013 23:28:41 +0000 Nailing Down Ice in a Cloud Model Thu, 14 Nov 2013 23:08:07 +0000 Invisible Giants in the Sky Thu, 14 Nov 2013 19:37:35 +0000 Cotton-Ball Clouds Contained Thu, 14 Nov

298

Research highlights potential for improved solar cells  

NLE Websites -- All DOE Office Websites (Extended Search)

Potential for improved solar cells Research highlights potential for improved solar cells Research has shown that carrier multiplication is a real phenomenon in tiny semiconductor...

299

Materials Research Highlights Archive | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Highlights Archive VULCAN Fires Up Research Across a Range of User Problems The SNS engineering diffractometer, VULCAN, only recently completed commissioning, although it...

300

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

of electrons through the semiconductor. Researchers from the University of Alabama and ORNL used polarized neutrons at the MR to investigate the electronic, magnetic, and...

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Lucas Magnetic Refrigeration Studies Researchers are using instruments at SNS and HFIR for the information needed for smart design of a magnetocaloric thin film to enable...

302

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Superconducting Research for ITER Superconducting Research for ITER Materials Engineering Research at SNS Helps International Collaboration on Fusion Energy Research Contact: Xun-Li Wang May 2011, Written by Deborah Counce Scientists and engineers at ORNL are working with the ITER Organization and the Japanese Atomic Energy Agency to resolve issues with a critical component of ITER's experimental fusion reactor. ITER is the international research facility in southeastern France whose mission is to demonstrate the feasibility of fusion as a practical long-term energy source. VULCAN VULCAN, engineering diffractometer at SNS. The VULCAN Engineering Diffractometer at SNS is being used to examine superconducting cables for ITER's central solenoid magnet, which induces the electrical current needed to confine and shape the plasma inside the

303

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Battery Studies Battery Studies A Wealth of New Battery Research at SNS and HFIR Technical Contacts: Xun-Li Wang, Ashfia Huq, Jung-Hyun Kim October 2010, Written by Carolyn Krause Neutron scattering, capable of looking deep inside the structures of materials used in technologies such as batteries and fuel cells, is a natural tool for research in energy storage and production. Several users of neutron scattering instruments at the SNS and HFIR presented details of their energy-related research to prospective scientific facility users attending the opening session of ORNL's User Week at SNS. Most of the energy-related research reported in the session dealt with batteries for electric and hybrid electric cars. Better batteries are also needed for storing excess electricity generated by wind and solar power so

304

Argonne CNM: 2008 Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

(June 2008) Also reported in: PhysOrg.com Science Daily Scientist Live R&D Magazine Photonics Online CNM Researchers Win Micrograph Contest (June 2008) Graphene sheet observed...

305

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Thin-Film Solar Cells SNS, HFIR Experiments Help Refine Thin-Film Solar Cells Research Contact: Thomas Russell July 2011, Written by Deborah Counce Solar cells that convert...

306

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Ionic Liquids for Biofuels Ionic Liquids for Biofuels SANS Probes Surface of Four Feed Stocks Pretreated with Ionic Liquid Research promising for renewable and sustainable biofuels and chemicals Research Contact: Seema Singh May 2011, Written by Agatha Bardoel Ionic liquids have emerged as promising new solvents capable of disrupting the cellulose crystalline structure, possibly also breaking important chemical linkages, in a wide range of biomass feedstocks. Such biomass is of significant future importance for providing fuels and chemicals. Biomass has a complex mixture of cellulose, hemicellulose, and lignin that is difficult to break down and requires pretreatment for efficient conversion. Researchers pretreated four different feedstocks with an ionic liquid at high temperatures for a fixed time and compared the effectiveness

307

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Fast Proton Hopping in Ice Fast Proton Hopping in Ice Fast Proton Hopping in Ice (Ih) Confirmed by Quasi-Elastic Neutron Scattering "With these results, we have an experimental proof of fast proton hopping in ice," researcher says Research Contact: Alexander Kolesnikov June 2011, Written by Agatha Bardoel Protons (positive hydrogen ions) in an ice lattice have been "seen" to fast hop from one water molecule to another, using quasi-elastic neutron scattering at the SNS Backscattering Spectrometer, BASIS. This fundamental phenomenon that occurs at very low temperatures has important consequences for future investigations of proton conductivity in solids. The research could open the door to a new understanding of how electrolytes work in a system. Proton hopping in ice occurs when "extra" protons diffuse through

308

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Magnetic Spin Behavior in Iron Magnetic Spin Behavior in Iron Telluride ARCS maps collaborative magnetic spin behavior in iron telluride Local, itinerant spins collaborate, boosting magnetism with temperature Research Contact: Igor Zaliznyak Dec. 2011, Written by Agatha Bardoel Researchers have long thought that magnetism and superconductivity are mutually exclusive. The former typically involves localized atomic electrons. The latter requires freely propagating, itinerant electrons. That magnetism and high-temperature superconductivity (HTSC) are mutually exclusive was challenged by the recent discovery of antiferromagnetic phases in parent materials of both HTSC cuprates and iron pnictides and chalcogenides. Antiferromagnetism is a form of magnetic ordering in which the spins of the

309

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

phase behavior in carbon pores phase behavior in carbon pores Neutrons measure phase behavior in pores at angstrom size Compelling new methods for assessing carbon pores for hydrogen storage in fuel cells Research Contact: Yuri Melnichenko Jan. 2012, Written by Agatha Bardoel Yuri Melnichenko and Lilin He GP-SANS instrument scientist Yuri Melnichenko (left) and postdoctoral associate Lilin He. Researchers have measured the phase behavior of green house gases in pores at the angstrom level, using small-angle neutron scattering (SANS) at the Oak Ridge National Laboratory's High Flux Isotope Reactor. Yuri Melnichenko, an instrument scientist on the General-Purpose Small-Angle Neutron Scattering (GP-SANS) Diffractometer at ORNL's High Flux Isotope Reactor, his postdoctoral associate Lilin He and collaborators

310

report highlights impact of research funding  

Science Conference Proceedings (OSTI)

A report by the U.S. Congress Joint Economic Committee (JEC) highlights the role of government investment in research and development. The report, titled...

311

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Neutron/Proton Capture Neutron/Proton Capture Beam Line 13 Fuels Discovery Fever for Fundamental Physicists Research Contact: Geoff Greene June 2011, Written by Agatha Bardoel Serpil Kucuker Dogan (left) and Matthew Musgrave prepare a helium-3 cooling cell that is used to measure the angle at which the neutron beam strikes the liquid hydrogen sample. The simplest, most sensible " Big Bang" universe, theoretical physicists believe, would be one in which equal numbers of particles and antiparticles are formed in pairs. As the universe cools, most of these particles would encounter their antiparticles, and they would annihilate. "In many ways, the most reasonable universe would be one in which there is no matter," says the University of Tennessee's Dr. Geoff Greene.

312

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Possible valence bond condensation in a frustrated cluster magnet Possible valence bond condensation in a frustrated cluster magnet Research at SNS's POWGEN instrument results in Nature Materials publication The work links magnetism on clusters to geometric magnetic frustration in extended solids, demonstrating a new paradigm for unparalleled chemical control and tunability in the search for collective, emergent electronic states of matter. A team from The Johns Hopkins University and led by Tyrel McQueen recently synthesized and characterized the geometrically frustrated magnetic system, LiZn2Mo3O8. In such systems, competing exchange interactions cannot all be satisfied and as a result, the ground state degenerates. The material appears to form a condensed valence bond state that is reminiscent of the long-sought resonating valence bond state and a possible

313

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Biotechnology & Energy Biotechnology & Energy Neutron Imaging Reveals Lithium Distribution in Lithium-Air Electrodes Published Work: "Anomalous Discharge Product Distribution in Lithium-Air Cathodes" Contact: Jagjit Nanda Theory meets experiment: structure-property relationships in an electrode material for solid-oxide fuel cells (2012) Published Work: "Unveiling structure-property relationships in Sr2Fe1.5Mo0.5O6-#, an electrode material for symmetric solid oxide fuel cells" Contact: Ana B. Munoz-Garcia ORNL researchers probe invisible vacancies in fuel cell materials (2012) Published Work: "Probing oxygen vacancy concentration and homogeneity in solid-oxide fuel-cell cathode materials on the subunit-cell level" Contact: Albina Borisevich Studying how a protein's dynamics can take down a killer

314

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Coal Pores: Greenhouse Gases and Coal Pores: Greenhouse Gases and Methane Energy and Environmental Solutions Under Our Feet Mix of neutron scattering techniques helps resolve critical problems of confining greenhouse gases and extracting methane Research Contact: Yuri Melnichenko August 2011, Written by Agatha Bardoel Yuri Melnichenko at the GPSANS instrument GP-SANS instrument scientist Yuri Melnichenko (left) and postdoctoral associate Lilin He. When you heat water in a kettle, you can make tea or coffee. But what happens if the vessel is sealed? Ultimately, at a temperature called the liquid-gas critical point, the density of the liquid and the vapor become identical: There is no more water, there is no more gas. What you have is a supercritical fluid. The phenomenon of liquid-liquid and liquid-gas coexistence was a

315

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Unconventional Superconductors Unconventional Superconductors Doug Scalapino discusses "common thread" linking unconventional superconducting materials Dec 2011, Written by Deborah Counce Douglas Scalapino Professor Emeritus Douglas Scalapino. Douglas Scalapino was the inaugural speaker for a new joint lecture series sponsored by the Spallation Neutron Source and the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. He is Research Professor of Physics at the University of California-Santa Barbara. A leading theorist in condensed matter physics, he has been a fellow of the American Physical Society and a member of the National Academy Sciences. He has been awarded the John Bardeen Prize for theoretical work in superconductivity and the Julius Lilienfeld Prize for outstanding

316

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Atomic-Scale Behavior of "Cobalt Blue" Atomic-Scale Behavior of "Cobalt Blue" Neutron Analysis Reveals Unique Atomic-Scale Behavior of "Cobalt Blue" Research Contact: Gregory MacDougall ORNL News Release, September 2011, Media Contact: Bill Cabage Cobalt aluminate Just as cobalt blue's lustrous hue attracts artists and decorators, the antiferromagnetic properties of the responsible compound-cobalt aluminate-are attracting neutron scientists at DOE's Oak Ridge National Laboratory. Studies of magnetic interactions deep within the material's atomic structure may provide clues toward the development of energy-efficient technologies. (Light sconce image courtesy of B. Jefferson Bolender. Click image for high res version.) Neutron scattering studies of "cobalt blue," a compound prized by artists

317

Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Methane Hydrate Structure Methane Hydrate Structure SNS Diffractometer puts the squeeze on methane hydrate cages, unraveling its high-pressure structure Compressed by 600,000 pounds per square inch, methane clathrate hydrate's high-pressure structure is revealed. Research Contact: Chris Tulk Mar. 2012, Written by: Agatha Bardoel Chris Tulk, SNAP instrument scientist Chris Tulk, SNAP instrument scientist. Imagine a robot sent out on the prowl on this energy hungry planet looking for methane, the principal component of what we call "natural gas" and probably the most abundant organic compound on earth. Our robot would find this energy source in shale deposits, notably here on the east coast of the United States. However, the most abundant deposits of natural gas are under water on the continental shelves and in the

318

Recent research highlights from the ALS OML  

E-Print Network (OSTI)

research highlights from the ALS OML V. V. Yashchuk, E. D.the Advanced Light Source (ALS) is to ensure state-of-the-instruments laid out in the ALS strategic plan as well as

Yashchuk, Valeriy V.

2013-01-01T23:59:59.000Z

319

Low Dose Radiation Research Program: Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

energy, are the surrounding unirradiated cells also at an increased risk of cancer? Latest Research, Response to Fukushima, Integrating Low Dose into Policy-All Featured at...

320

Science & Research Highlights | Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Highlights Archives: 2013 | 2012 | 2011 | 2010 Science Highlights Archives: 2013 | 2012 | 2011 | 2010 2009 | 2008 | 2007 | 2006 2005 | 2004 | 2003 | 2002 2001 | 2000 | 1998 | Subscribe to APS Science Highlights rss feed Science and Research Highlights Animatedly Suspended X-ray Observations Animatedly Suspended X-ray Observations December 16, 2013 Researchers using the U.S. Department of Energy's Advanced Photon Source have probed the behavior of colloidal systems in which microscopic particles stay suspended in a fluid indefinitely. Their findings could have applications in new synthetic materials such as paints, coatings and adhesives, foodstuffs, pharmaceutical formulations, and cosmetics. The Fate of Bioavailable Iron in Antarctic Coastal Seas The Fate of Bioavailable Iron in Antarctic Coastal Seas

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321

Polyelectrolyte biomaterials - Research Highlights | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Home › ResearchHighlights › Polyelectrolyte biomaterials Home › ResearchHighlights › Polyelectrolyte biomaterials Detecting the shape of polymer chains inside polyelectrolyte biomaterials Bio-SANS research for replacing cartilage in the spine and knees Research Contact: Marie Markarian Feb. 2012, Written by Agatha Bardoel Left: neutron scattering with contrast variation reveals the coil conformation of single polymer molecules in a blend of PSS and PDADMA. Contrast variation is achieved by deuteration of some of the PSS molecules (D-PSS) in the mixture. Right: The slope of the scattering curve exhibits a power law dependence Q-2, which is a characteristic signature of the random coil conformation of a polymer chain molecule. Left: neutron scattering with contrast variation reveals the coil conformation of single polymer molecules in a blend of PSS and PDADMA.

322

ARM - ARM Climate Research Facility Contributions to International Polar  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Support International Polar Year Begins at ACRF with 3-week Campaign in Barrow Aerosol Affects on Clouds To Be Studied Yearlong Study to Improve Polar Measurements of Radiative Energy Education Efforts Educational Kiosk CD Available at No Cost-Request Yours Today! POLAR-PALOOZA: Climate science goes on tour! Partnership Extends Support for National Science Teacher Conference Teacher's Domain Combines Culture and Climate Other Links ACRF IPY Home U.S. IPY Home ARM Climate Research Facility Contributions to International Polar Year (IPY) The Department of Energy's International Polar Year (IPY) contributions will be conducted at the Atmospheric Radiation Measurement Climate Research Facility (ARM) located in the North Slope of Alaska. This DOE user facility

323

Los Alamos Lab: MPA: Materials Research Highlights  

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Materials Research Highlights Materials Research Highlights Advances in fuel cells (pdf) R. Borup (MPA-11) Innovative materials physics and applications (pdf) Metallic nanolayered composites exhibit ultra-high strength and ductility (pdf) N.A. Mara (MST-6); D. Bhattacharyya (MPA-CINT); P. Dickerson (MST-6); J.K. Baldwin (MPA-CINT); R.G. Hoagland (MST-8); A. Misra (MPA-CINT) Frontiers in thermoacoustic refrigeration and mixture separation (pdf) S. Backhaus (MPA-10); D. Geller (AET-3); B. Ward (AET-6); G. Swift (MPA-10) Submicron resolution ferromagnetic resonance microscopy using scanned probe MRFM (pdf) E. Nazaretski and R. Movshovich (MPA-10) Nanowire technologies for radiation detection applications (pdf) G. Brown (MST-8); T. Picraux (MPA-CINT); M. Hoffbauer (C-ADI) Development of improved radiation detector materials (pdf)

324

Los Alamos Lab: MST: Materials Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Materials Research Highlights Materials Research Highlights Advances in fuel cells (pdf) R. Borup (MPA-11) Innovative materials physics and applications (pdf) Metallic nanolayered composites exhibit ultra-high strength and ductility (pdf) N.A. Mara (MST-6); D. Bhattacharyya (MPA-CINT); P. Dickerson (MST-6); J.K. Baldwin (MPA-CINT); R.G. Hoagland (MST-8); A. Misra (MPA-CINT) Frontiers in thermoacoustic refrigeration and mixture separation (pdf) S. Backhaus (MPA-10); D. Geller (AET-3); B. Ward (AET-6); G. Swift (MPA-10) Submicron resolution ferromagnetic resonance microscopy using scanned probe MRFM (pdf) E. Nazaretski and R. Movshovich (MPA-10) Nanowire technologies for radiation detection applications (pdf) G. Brown (MST-8); T. Picraux (MPA-CINT); M. Hoffbauer (C-ADI) Development of improved radiation detector materials (pdf)

325

ARM -  

NLE Websites -- All DOE Office Websites (Extended Search)

Center Blog Center Blog Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance AMF2 Arrives in Finland Jan 02, 2014 [ ARM Mobile Facility 2, BAECC, Blog, Field Notes ] After nine months at sea aboard the Horizon Spirit, the AMF2 reached land for an extended stay at the Station for Measuring Forest Ecosystem-Atmosphere Relations (SMEAR II) in Hyytiala, Finland. This nine-month, land-based deployment is in support of the Biogenic Aerosols-Effects on Clouds and Climate (BAECC) project. The deployment begins February 1, 2014, and [...]

326

Research Highlights Sorted by Working Group  

NLE Websites -- All DOE Office Websites (Extended Search)

Working Group Working Group Aerosol Life Cycle | Cloud Life Cycle | Cloud-Aerosol-Precipitation Interactions | Aerosol | Cloud Modeling | Cloud Properties | Radiative Processes Aerosol Life Cycle 2013 Bhattacharya, A. Wildfires Lead to More Warming Than Climate Models Predict, a New Mexico Fire Study Reports ASR Fast, J. . Development and Validation of a Black Carbon Mixing State Resolved Three-Dimensional Model ARM ASR Gilles, M., Moffet, R. Spectro-microscopic Measurements of Carbonaceous Aerosol Aging in Central California ARM ASR Kafle, D. N., Coulter, R. L. Micropulse Lidar-Derived Aerosol Optical Depth Climatology at ARM Sites Worldwide ARM Keppel-Aleks, G. Determining the Future of CO2 Using an Earth System Model ARM Li, Z. A Mixed Bag of Aerosols over Northeastern China ARM

327

Research Highlights Sorted by Submission Date  

NLE Websites -- All DOE Office Websites (Extended Search)

Submission Date Submission Date January 2014 Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate ARM ASR Ovink, J. December 2013 Effect of Environmental Instability on the Sensitivity of Convection to the Rimed Ice Species ASR Van Weverberg, K. All Mixed Up-Probing Large and Small Scale Turbulence Structures in Continental Stratocumulus Clouds ARM ASR Fang, M., Albrecht, B. A. Ground Stations Likely Get a Boost from Satellites to Estimate Carbon Dioxide Emissions ARM Roeder, L. R. November 2013 Spectro-microscopic Measurements of Carbonaceous Aerosol Aging in Central California ARM ASR Gilles, M., Moffet, R. Digging Into Climate Models' Needs with SPADE ARM ASR Gustafson, W. I. Nailing Down Ice in a Cloud Model ARM ASR

328

Secretary Bodman in Illinois Highlights Scientific Research Investment...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

in Illinois Highlights Scientific Research Investments to Advance America's Innovation Secretary Bodman in Illinois Highlights Scientific Research Investments to Advance America's...

329

Instrumentation Overview ARM Climate Research Facility 18th Annual...  

NLE Websites -- All DOE Office Websites (Extended Search)

Overview ARM Climate Research Facility 18th Annual ARM Science Team Meeting Jimmy Voyles Voyles STM.2008 Presentation Outline Voyles STM.2008 Presentation Outline * Program Science...

330

ARM - Past ARM Science Team Meetings  

NLE Websites -- All DOE Office Websites (Extended Search)

govSciencePast ARM Science Team Meetings Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) User Meetings Second Annual...

331

ARM Climate Research Facility | U.S. DOE Office of Science (SC)  

NLE Websites -- All DOE Office Websites (Extended Search)

Research » Climate and Research » Climate and Environmental Sciences Division (CESD) » ARM Climate Research Facility Biological and Environmental Research (BER) BER Home About Research Research Abstracts Searchable Archive of BER Highlights External link Biological Systems Science Division (BSSD) Climate and Environmental Sciences Division (CESD) ARM Climate Research Facility Atmospheric System Research (ASR) Program Data Management Earth System Modeling (ESM) Program William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) Integrated Assessment of Global Climate Change Regional & Global Climate Modeling (RGCM) Program Subsurface Biogeochemical Research Terrestrial Carbon Sequestration External link Terrestrial Ecosystem Science Facilities Science Highlights Benefits of BER

332

Field Campaign Guidelines (ARM Climate Research Facility)  

Science Conference Proceedings (OSTI)

The purpose of this document is to establish a common set of guidelines for the Atmospheric Radiation Measurement (ARM) Climate Research Facility for planning, executing, and closing out field campaigns. The steps that guide individual field campaigns are described in the Field Campaign Tracking database tool and are tailored to meet the scope of each specific field campaign.

Voyles, JW

2011-01-17T23:59:59.000Z

333

DOE/SC-ARM-10-006.7 ARM Climate Research Facility Monthly Instrument...  

NLE Websites -- All DOE Office Websites (Extended Search)

SC-ARM-10-006.7 ARM Climate Research Facility Monthly Instrument Report JW Voyles July 2010 Work supported by the U.S. Department of Energy, Office of Science, Office of...

334

Low Dose Radiation Research Program Website ?? Highlighting...  

NLE Websites -- All DOE Office Websites (Extended Search)

Website Highlighting Low Dose Research Bill Morgan Pacific Northwest National Laboratory Abstract The Low Dose Radiation Research Programs website is found at http:...

335

Low Dose Radiation Research Program Website ? Highlighting Low...  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Program Website - Highlighting Low Dose Research Bill Morgan, Principal Investigator; Julie Wiley, Website Content Manager; Christine Novak, Webmaster The Low Dose...

336

Highlights  

U.S. Energy Information Administration (EIA)

Highlights While generally showing less breadth in their range, world crude oil prices remained at robust levels in November. Debt-related problems in euro-zone

337

Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Highlights LANS invests in STEM education for the people of Northern New Mexico through student scholarships, education grants, master teachers' support, and workforce training. We...

338

ARM Climate Research Facility Radar Operations Plan  

SciTech Connect

Roles, responsibilities, and processes associated with Atmospheric Radiation Measurement (ARM) Radar Operations.

Voyles, JW

2012-05-18T23:59:59.000Z

339

Highlights from Research Conducted at Bio-SANS | ORNL Neutron...  

NLE Websites -- All DOE Office Websites (Extended Search)

Highlights from Research Conducted at Bio-SANS Neutrons help shed light on critical protein activity that protects our DNA New detector array improves neutron count capability at...

340

Highlights from Research Conducted at CNCS | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Highlights from Research Conducted at CNCS Peering into Protein Dynamics Between a rock and a hard place: searching for a solid that flows like a liquid Unexpected Magnetic...

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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341

Lawrence Livermore research highlighted at AAAS annual meeting  

NLE Websites -- All DOE Office Websites (Extended Search)

Lawrence Livermore research highlighted at AAAS annual meeting Breanna Bishop, LLNL, (925) 423-9802, bishop33@llnl.gov Printer-friendly Mike Dunne, Debbie Callahan and...

342

Low Dose Radiation Research Program: Research Highlights - Health Physics  

NLE Websites -- All DOE Office Websites (Extended Search)

Health Physics Special Issue Features Contributions by Low Dose Health Physics Special Issue Features Contributions by Low Dose Investigators Health Physics The March 2011 special issue of Health Physics highlights the Victor Bond Workshop held May 2-5, 2010, in Richland, Wash. The workshop honored the late Dr. Victor (Vic) Bond for his lifetime achievement in the radiation sciences. Dr. Bond's research resulted in numerous influential scientific papers that contributed greatly to the understanding of radiation effects in biological systems. The workshop attracted internationally recognized experts in biophysics, experimental radiation biology, epidemiology, and risk assessment to discuss issues of low-dose risk. Participants included current and previously funded U.S. Department of Energy Low Dose Radiation Research

343

DOE/SC-ARM-10-032 ARM Climate Research Facility AnnuAl RepoRt - 2010  

NLE Websites -- All DOE Office Websites (Extended Search)

10-032 10-032 ARM Climate Research Facility AnnuAl RepoRt - 2010 Recovery Act HigHligHts September 2009 * One hundred percent of allocated funding from the American Recovery and Reinvestment Act of 2009 released to the Atmospheric Radiation Measurement (ARM) Climate Research Facility. October 2009 * Preliminary design reviews successfully completed for new solar spectrometer and Data Management Facility (DMF) upgrades. December 2009 * Preliminary design reviews successfully completed for 18 new radars and upgrades to existing radars. January 2010 * Design reviews completed for DMF, radars, and shipborne radar wind profiler. * Installation and integration of new equipment in process for the ARM Data Archive and aircraft infrastructure, data systems, and

344

HIGHLIGHTS  

NLE Websites -- All DOE Office Websites (Extended Search)

Cobalt discovery replaces precious Cobalt discovery replaces precious metals as industrial catalyst November 26, 2012 Novel cobalt system supports less expensive hydrogenation and the creation of everyday products HIGHLIGHTS * Cobalt may substitute as industrial catalyst for energy-related technologies * Catalysts are integral to thousands of industrial, synthetic, and renewable energy processes * Common cobalt may replace pricier, rare metal relatives * Potential applications: biofuel production, carbon dioxide reduction, basic necessary chemistry - 2 - LOS ALAMOS, N.M., November 26, 2012-Cobalt, a common metal, holds promise as an industrial catalyst with potential applications in such energy-related technologies such as the production of biofuels and the reduction of carbon dioxide. That is, provided

345

Highlights  

The Commercialization Team of the Office of Energy Efficiency and Renewable Energy (EERE) works to bridge the gap between research and development (R&D), and venture ...

346

highlights  

Gasoline and Diesel Fuel Update (EIA)

0 0 Highlights International Oil Markets International Oil Supply: This forecast assumes that OPEC 10 (Organization of Petroleum Exporting Countries excluding Iraq) crude oil production will be 25.2 million barrels per day in the second quarter, 0.9 million barrels per day above first quarter production levels (Figure 1). This is about 0.5 million barrels per day above their production target of 24.69 million barrels per day. The forecast then assumes another 0.1 million barrels per day increase in OPEC 10 crude oil production in the third quarter and an additional 0.5 million barrel per day increase in the fourth quarter of 2000. If OPEC fails to increase production in the third or fourth quarters of 2000 as assumed in this forecast, higher oil prices would be expected.

347

highlights  

Gasoline and Diesel Fuel Update (EIA)

June 2000 June 2000 Highlights Overview Renewed strength in world oil prices following a short-lived slump in April and a dramatic rally in domestic natural gas prices in response to weak storage injection performance and general worries about near-term gas supplies has prompted us to sharply increase expected levels for energy prices in the short term. Given our general expectations about growth in world oil demand and supply, the oil price adjustment for this Outlook is a shift in the expected level and not a move away from the conviction that prices should trend downward from current levels by year end. Meanwhile, as higher crude oil prices have intervened, and as generally low inventories have resulted in some greater-than- expected tightness in gasoline markets, particularly in the Midwest, we now

348

Highlights  

Gasoline and Diesel Fuel Update (EIA)

January 2010 January 2010 1 January 2010 Short-Term Energy Outlook January 12, 2010 Release Highlights This edition of the Short-Term Energy Outlook is the first to include monthly forecasts through December 2011. EIA expects that the price of West Texas Intermediate (WTI) crude oil, which averaged $62 per barrel in 2009, will average about $80 and $84 per barrel in 2010 and 2011, respectively. EIA's forecast assumes that U.S. real gross domestic product (GDP) grows by 2.0 percent in 2010 and by 2.7 percent in 2011, while world oil-consumption-weighted real GDP grows by 2.5 percent and 3.7 percent in 2010 and 2011, respectively. Escalating crude oil prices drive the annual average regular-grade gasoline retail price from $2.35 per gallon in 2009 to $2.84 in 2010 and $2.96 in 2011.

349

highlight  

Gasoline and Diesel Fuel Update (EIA)

0 0 Highlights International Oil Markets World Oil Prices - How High Will They Go? Our forecast this month is that the world oil price should remain high for most of the year as inventories are expected to remain low, even with an assumed increase in OPEC production of 1 million barrels per day beginning in April. The average cost per barrel of crude oil imported into the United States and delivered to U.S. refiners (the benchmark price used in this forecast) is expected to increase from $26.65 per barrel in the first quarter of 2000 to $27.65 per barrel in the second quarter this year. After that we expect a gradual falling off throughout the rest of 2000 and 2001 to end between $22.25 and $22.50 per barrel by the fourth quarter of 2001 (Figure 1). (Note: for comparison purposes, the price of West Texas

350

Maintaining History of the ARM Climate Research Facility Data  

NLE Websites -- All DOE Office Websites (Extended Search)

Maintaining History of the ARM Climate Research Facility Data Koontz, Annette Pacific Northwest National Laboratory Sivaraman, Chitra Pacific Northwest National Laboratory Martin,...

351

EDUconnections Highlights Arizona State University Research | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

EDUconnections Highlights Arizona State University Research EDUconnections Highlights Arizona State University Research EDUconnections Highlights Arizona State University Research December 6, 2010 - 5:47pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs For the past year, .EDUconnections has been the Office of Science and Technical Information's online portal for highlighting some of the amazing scientific research being done at our nation's universities and colleges. They're helping get the message out about how research and technical advancements through Department of Energy sponsored programs are propelling our future workforce to new discoveries in science, engineering, mathematics and many other technical disciplines. This month they're pleased to spotlight Arizona State University. ASU's

352

EDUconnections Highlights Arizona State University Research | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

EDUconnections Highlights Arizona State University Research EDUconnections Highlights Arizona State University Research EDUconnections Highlights Arizona State University Research December 6, 2010 - 5:47pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs For the past year, .EDUconnections has been the Office of Science and Technical Information's online portal for highlighting some of the amazing scientific research being done at our nation's universities and colleges. They're helping get the message out about how research and technical advancements through Department of Energy sponsored programs are propelling our future workforce to new discoveries in science, engineering, mathematics and many other technical disciplines. This month they're pleased to spotlight Arizona State University. ASU's

353

Low Dose Radiation Research Program: Research Highlights - Ionizing...  

NLE Websites -- All DOE Office Websites (Extended Search)

of Energy Low Dose Radiation Research Program, and the Department of Defense Breast Cancer Research program and Prostate Cancer Research program. Researchers include Eva...

354

Secretary Bodman in Illinois Highlights Scientific Research Investments to  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Illinois Highlights Scientific Research Illinois Highlights Scientific Research Investments to Advance America's Innovation Secretary Bodman in Illinois Highlights Scientific Research Investments to Advance America's Innovation April 11, 2007 - 12:36pm Addthis ROMEOVILLE, IL - U.S. Secretary of Energy Samuel Bodman today joined Rep. Judy Biggert (IL-13th) at a technology firm in Illinois to highlight scientific research investments that have led to partnerships between DOE's National laboratories and private industry. At Advanced Diamond Technologies, Inc., Secretary Bodman touted the key contributions of scientists and engineers across the country and the importance of sustaining innovation and entrepreneurship in advancing energy and economic security. "Moving technologies from the laboratory setting to commercial

355

DOE/SC-ARM-13-004 Charter for the ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

Charter for the ARM Climate Research Facility Science Board March 2013 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the...

356

Tips & Tricks for Uploading Images with Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

& Tricks for Uploading Images with Research Highlights & Tricks for Uploading Images with Research Highlights Images: (optional) Only images in JPEG, BMP, GIF, or PNG can be accepted up to 10 Mb. The image caption is limited to 500 characters. Tip: For comparisons, lay multiple images out side by side, vertically or in a grid formation to create a single image file for uploading on the Research Highlight Submittal Form. Trick: If image editing soft ware is unavailable, the task can be accomplished using Microsoft (MS) Word as follows: 1. Insert or paste the images on a blank MS Word document and arrange them as desired. 2. Use the "Print Screen" function on the computer to capture the composite image. 3. Paste the new image (created from "Print Screen") onto a new blank MS Word document or

357

Statement of Research 1 Highlights of Research Contributions  

E-Print Network (OSTI)

Table 2 illustrates my ongoing research, which is supported by three brand new grants that started in 2009.

Aniruddha S. Gokhale

2010-01-01T23:59:59.000Z

358

PNNL: Research Highlights - Nano Science, Engineering, and Technology  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Highlights Research Highlights Advanced Characterization and other new tools for Nanoscience and Technology PNNL and FEI team to use new approach to rapidly obtain three dimensional information about elemental distribution in nanoparticles. The method was applied to a lithium-rich nickel-based material that could be part of tomorrow's batteries. The research team discovered how nickel was segregating on the material's surface. Part of a series of groundbreaking research involving nano-scale characterization of battery materials. This research was featured in Phys.Org. The Birth of nanoDESI New technique provides sensitive analysis of atmospheric particles Scientific Stimulus Produces Results A cascade of opportunities are unleashed by one instrument, a novel idea, and EMSL's intramural program

359

Charter for the ARM Climate Research Facility Science Board  

Science Conference Proceedings (OSTI)

The objective of the ARM Science Board is to promote the Nations scientific enterprise by ensuring that the best quality science is conducted at the DOEs User Facility known as the ARM Climate Research Facility. The goal of the User Facility is to serve scientific researchers by providing unique data and tools to facilitate scientific applications for improving understanding and prediction of climate science.

Ferrell, W

2013-03-08T23:59:59.000Z

360

Style Guide Atmospheric Radiation Measurement (ARM) Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

Style Guide Style Guide Atmospheric Radiation Measurement (ARM) Climate Research Facility March 2013 Style Guide Atmospheric Radiation Measurement Climate Research Facility March 2013 Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research March 2013 ii Contents 1.0 Introduction .......................................................................................................................................... 1 2.0 Acronyms and Abbreviations ............................................................................................................... 1 2.1 Usage ............................................................................................................................................ 1

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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361

Small Arms Transfers: Exporting States WEAPONS & MARKETS Research Notes  

E-Print Network (OSTI)

annual authorized trade in small arms 1 to exceed USD 7 billion a year (Small Arms Survey, 2011, p. 9). 2 A lack of transparency on the part of many states and difficulties of disaggregating data on transfers that some states do report create numerous challenges for the study of this activity. Lists of the most active countries tend to be skewed toward those that are more transparent or cater to large civilian markets. Nonetheless, sufficient data and expertise exist to allow for broad assessments to be made about the trade in small arms. This Research Note assesses the countries that export the greatest value of small arms. It does not focus on volumes of materiel or a transfers effect on peace and security. States report on their arms transfers very unevenly. Some are very transparent, while others are secretive. Sometimes countries view transfers of small arms as aid, gifts, or security assistance for which no payment is made or customs fees levied. These transfers tend not to appear in open records. Nevertheless, customs data is an especially important source of data, 3 as are countries national arms export reports and submissions to the UN Register of Conventional Arms (UNROCA). 4 The news media as well as research and advocacy organizations also help shed light on this activity. The Survey has supplemented these sources by contacting governments and industry officials directly, some of whom have provided information not otherwise available. The rankings provided here tend to capture more accurately the activities of those countries that are more forthcoming in publicly recording their exports. Moreover, the dollar values of countries exports are, generally speaking, underestimates. For example, it is not possible

The Small; Arms Survey

2011-01-01T23:59:59.000Z

362

The Arm Climate Research Facility: A Review of Structure and Capabilities  

Science Conference Proceedings (OSTI)

The Atmospheric Radiation Measurement (ARM) Climate Research Facility (www.arm.gov) provides atmospheric observations from diverse climatic regimes around the world. Because it is a U.S. Department of Energy (DOE) user facility, ARM data are freely ...

James H. Mather; Jimmy W. Voyles

2013-03-01T23:59:59.000Z

363

Atmospheric Radiation Measurement (ARM) Climate Research Facility and Atmospheric  

NLE Websites -- All DOE Office Websites (Extended Search)

Atmospheric Radiation Measurement (ARM) Atmospheric Radiation Measurement (ARM) Climate Research Facility and Atmospheric System Research (ASR) Science and Infrastructure Steering Committee CHARTER June 2012 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not

364

ARM - Collaborations  

NLE Websites -- All DOE Office Websites (Extended Search)

govScienceCollaborations govScienceCollaborations Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 Collaborations The ARM Climate Research Facility collaborates extensively with other U.S. Department of Energy (DOE) programs and laboratories, agencies, universities, and private firms in gathering and sharing data. This collaborative approach allows ARM to leverage its investment in instruments, sites, data, and science and to gain the knowledge necessary

365

Science Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Highlights Science Highlights Print Science Highlights Featured scientific research based on publications resulting from work done at the ALS. Highlights are nominated by...

366

DOE/SC-ARM-12-006 ARM Climate Research Facility Radar Operations...  

NLE Websites -- All DOE Office Websites (Extended Search)

Database CM&PM Corrective Maintenance & Preventative Maintenance Database DMF Data Management Facility (ARM) DQ data quality DQO Data Quality Office (ARM) DQPR Data Quality...

367

ARM - ARM Mobile Facility 1 Article  

NLE Websites -- All DOE Office Websites (Extended Search)

CenterARM Mobile Facility 1ARM Mobile Facility 1 Article CenterARM Mobile Facility 1ARM Mobile Facility 1 Article Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance January 13, 2011 [ARM Mobile Facility 1, Blog, Field Notes] AMF1 Azores Pack-up: Rust, Corrosion, and Wet Instruments Bookmark and Share PSP shows the harsh beating it took from the Atlantic mists.

368

ARM - ARM Facility at EGU 2012  

NLE Websites -- All DOE Office Websites (Extended Search)

CenterARM Facility at EGU 2012 CenterARM Facility at EGU 2012 Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance ARM Facility at EGU 2012 At the 2012 European Geophysical Union General Assembly in Vienna, the ARM Climate Research Facility is hosting a booth located near the escalators in the Exhibition Entrance Hall. In their first time attending the assembly,

369

DOE Designated User Facilities Multiple Laboratories * ARM Climate Research Facility  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Designated User Facilities Designated User Facilities Multiple Laboratories * ARM Climate Research Facility Argonne National Laboratory * Advanced Photon Source (APS) * Electron Microscopy Center for Materials Research * Argonne Tandem Linac Accelerator System (ATLAS) * Center for Nanoscale Materials (CNM) * Argonne Leadership Computing Facility (ALCF) * Brookhaven National Laboratory * National Synchrotron Light Source (NSLS) * Accelerator Test Facility (ATF) * Relativistic Heavy Ion Collider (RHIC) * Center for Functional Nanomaterials (CFN) * National Synchrotron Light Source II (NSLS-II ) (under construction) Fermi National Accelerator Laboratory * Fermilab Accelerator Complex Idaho National Laboratory * Advanced Test Reactor ** * Wireless National User Facility (WNUF)

370

Science Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Highlights Print Science Highlights Featured scientific research based on publications resulting from work done at the ALS. Highlights are nominated by management and...

371

Argonne CNM Highlight: Research Advances using Ultrananocrystalline Diamond  

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User science highlight: Graphene sheet observed with optical method User science highlight: Graphene sheet observed with optical method Sample confocal microscope images of reflection from the single layer of graphene oxide at different laser wavelengths. A simple approach is needed to identify nanometer-scale layered materials such as graphene, clays, metal dichalcogenides, and self-assembled monolayers. A collaborative CNM user project has developed a simple optical identification method employing standard confocal microscopy. High contrast is obtained by depositing the materials on a substrate consisting of a thin dielectric layer on silicon. By varying the wavelength of light used in the microscope, effective refractive indices and absorption coefficients can be determined. An example has been carried out for graphene, graphene oxide, and reduced graphene oxide. Single-atomic

372

DOE/SC-ARM-10-006.4 ARM Climate Research Facility Instrumentation Status and Information  

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4 4 ARM Climate Research Facility Instrumentation Status and Information JW Voyles April 2010 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

373

DOE/SC-ARM-10-006.9 ARM Climate Research Facility Monthly Instrument Report  

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9 9 ARM Climate Research Facility Monthly Instrument Report JW Voyles September 2010 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

374

DOE/SC-ARM-10-006.8 ARM Climate Research Facility Monthly Instrument Report  

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8 8 ARM Climate Research Facility Monthly Instrument Report JW Voyles August 2010 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

375

Lawrence Berkeley Laboratory research highlights for FY 1975  

DOE Green Energy (OSTI)

Brief, nontechnical reviews are presented of work in the following areas: solar energy projects, fusion research, silicon cell research, superconducting magnetometers, psi particles, positron--electron project (PEP), pulsar measurements, nuclear dynamics, element 106, computer control of accelerators, the Bevalac biomedical facility, blood--lipid analysis, and bungarotoxin and the brain. Financial data and personnel lists are given, along with citations to well over a thousand research papers. (RWR)

Not Available

376

Argonne CNM Highlight: Graphene Research at the Center for Nanoscale  

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Graphene Research at the Center for Nanoscale Materials Graphene Research at the Center for Nanoscale Materials graphene research The 2010 Nobel Prize in Physics was recently awarded to Andre Geim and Konstantin Novoselov from the University of Manchester "for groundbreaking experiments regarding the two-dimensional material graphene." Graphene is an extraordinary material made up of hexagonally packed carbon atoms that are sp2 bonded. A sheet of graphene is only one atom thick making it nature's version of an ideal two-dimensional material. At the Center for Nanoscale Materials we are exploring state-of-the-art synthesis, characterization, processing, and novel applications of graphene. With the highest resolution microscopes we are able to characterize the structural, electronic, and chemical properties of

377

Highlighting High Performance: The Solar Energy Research Facility, Golden, Colorado  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory's Solar Energy Research Facility in Golden, Colorado, uses a stair-step configuration to allow daylight and heat into the office areas, while the laboratories in the back of the building are in a more controlled environment where tight levels of ventilation, humidity, temperature, and light are critical. A unique mechanical system makes the most of the natural environment and the building's design to efficiently heat and cool the building at an annual utility bill savings of almost $200,000 per year.

Torcellini, P.; Epstein, K.

2001-06-26T23:59:59.000Z

378

ARM - 2012 AMS Presentations Featuring ARM Data  

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2 AMS Presentations Featuring ARM Data 2 AMS Presentations Featuring ARM Data Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance 2012 AMS Presentations Featuring ARM Data Monday, January 23 Presentation Type Session ID and Presentation Title Presenters Time and Location Oral Invited J2.1, Next-Generation Global Precipitation Data for Hydrometeorogical Applications Arthur Y. Hou, Dalia Bach Kirschbaum 11:00 AM, 256

379

ARM - 2006 ARM Science Team Meeting  

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Meeting Meeting 2006 Meeting 2006 Meeting Home Proceedings Sorted by Author Proceedings Sorted by Title Pictures Posters Presentations Meeting Archives ARM Science Team Meeting Proceedings Past Science Team Meetings 2006 ARM Science Team Meeting March 27-18 | Albuquerque, New Mexico | Hyatt Regency Albuquerque The Hyatt Regency - Albequerque The Hyatt Regency - Albequerque Meeting Highlights Just over 300 ARM scientists and ACRF infrastructure staff took part in the 16th ARM Science Team meeting held in Albuquerque, New Mexico, on March 27-31, 2006. After an initial day of focused meetings among the ARM Working Groups, Dr. David Thomassen, Acting Associate Director of DOE's Office of Biological and Environmental Research (BER), opened the meeting's plenary session with remarks about the role of ARM within the DOE, and its

380

ARM - 2013 AMS Presentations Featuring ARM Data  

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3 AMS Presentations Featuring ARM Data 3 AMS Presentations Featuring ARM Data Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance 2013 AMS Presentations Featuring ARM Data Sunday, January 6 Presentation Type Session ID and Presentation Title Presenters Time and Location Poster Sessions Poster S150 Analysis of SPartiCus Data for Cirrus Modeling Case Studies R. L. Atlas, A. M. Fridlind and M. Diao 2:30-4:00 PM, Exhibit Hall 3

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381

ARM - AGU Presentations Featuring ARM Data  

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CenterAGU Presentations Featuring ARM Data CenterAGU Presentations Featuring ARM Data Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance AGU Presentations Featuring ARM Data Monday, December 13 Presentation Type Session ID and Presentation Title Presenters Time and Location A11H. Atmospheric Sciences General Contributions: Clouds and Aerosol-Cloud Interactions I

382

CERTS: Consortium for Electric Reliability Technology Solutions - Research Highlights  

Science Conference Proceedings (OSTI)

Historically, the U.S. electric power industry was vertically integrated, and utilities were responsible for system planning, operations, and reliability management. As the nation moves to a competitive market structure, these functions have been disaggregated, and no single entity is responsible for reliability management. As a result, new tools, technologies, systems, and management processes are needed to manage the reliability of the electricity grid. However, a number of simultaneous trends prevent electricity market participants from pursuing development of these reliability tools: utilities are preoccupied with restructuring their businesses, research funding has declined, and the formation of Independent System Operators (ISOs) and Regional Transmission Organizations (RTOs) to operate the grid means that control of transmission assets is separate from ownership of these assets; at the same time, business uncertainty, and changing regulatory policies have created a climate in which needed investment for transmission infrastructure and tools for reliability management has dried up. To address the resulting emerging gaps in reliability R&D, CERTS has undertaken much-needed public interest research on reliability technologies for the electricity grid. CERTS' vision is to: (1) Transform the electricity grid into an intelligent network that can sense and respond automatically to changing flows of power and emerging problems; (2) Enhance reliability management through market mechanisms, including transparency of real-time information on the status of the grid; (3) Empower customers to manage their energy use and reliability needs in response to real-time market price signals; and (4) Seamlessly integrate distributed technologies--including those for generation, storage, controls, and communications--to support the reliability needs of both the grid and individual customers.

Eto, Joseph

2003-07-30T23:59:59.000Z

383

Protein Activity that Protects Our DNA - Research Highlights | ORNL Neutron  

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Neutrons help shed light on critical protein activity that protects our DNA Neutrons help shed light on critical protein activity that protects our DNA "New study provides a framework for understanding how protein works and how it stimulates the DNA processing machines" Research Contact: Walter Chazin Illustration of the change in architecture of the essential eukaryotic ssDNA binding protein RPA as it engages progressively longer segments of ssDNA. Small-angle x-ray scattering data are displayed in the background for the DNA binding core of RPA in its DNA-free state (green) and when engaged on 10 (yellow), 20 (red, and 30 (blue) nucleotide ssDNA substrates. Overlaid molecular surfaces and ribbon representations of the three distinct architectural states of RPA are shown, one for the DNA-free protein and the two others for the initial and fully ssDNA-engaged modes, revealing the progressive compaction of the protein as it binds to the substrate. The RPA70 subunit is colored in blue, RPA32 in green, and RPA14 in red, with ssDNA displayed as a yellow ribbon.

384

Skin Deep: Highlights of NREL Surface Analysis PV Research  

DOE Green Energy (OSTI)

The Surface Analysis project provides measurement support and leadership for collaborative research activities involving surface chemistry and physics in all areas of the PV program. Significant results from the past fiscal year include the following: i) in-situ XPS, UPS, and AES studies of chemical-bath exposure of CIGS surfaces demonstrated that Group-III elements are preferentially removed from the surface, that type conversion of the surface occurs, and that the addition of a surfactant improves CdS deposition and thus device performance; ii) XPS studies of polyethylene terephthalate (PET) candidate backsheet materials have shown that plasma exposure prior to oxide-barrier deposition results in the formation of low-molecular-weight fragments that result in the formation of a weak interfacial layer that fails during damp-heat exposure; iii) an empirical relation was derived for the source geometry that leads to optimal film-thickness uniformity in rotating-substrate physical-vapor deposition (PVD) systems; and iv) PVD flux-distribution calculations were performed to develop a novel method for combinatorial thin-film synthesis.

Asher, S.; Pankow, J.; Perkins, C.; Reedy, R.; Teeter, G.; Young, M.

2005-11-01T23:59:59.000Z

385

ARM - ARM Safety Policy  

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Safety Policy Safety Policy About Become a User Recovery Act Mission FAQ Outreach Displays History Organization Participants Facility Statistics Forms Contacts Facility Documents ARM Management Plan (PDF, 335KB) Field Campaign Guidelines (PDF, 1.1MB) ARM Climate Research Facility Expansion Workshop (PDF, 1.46MB) Facility Activities ARM and the Recovery Act Contributions to International Polar Year Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send ARM Safety Policy The ARM Climate Research Facility safety policy states that all activities for which the ARM Climate Research Facility has primary responsibility will be conducted in such a manner that all reasonable precautions are taken to protect the health and safety of employees and the general public. All

386

DOE/SC-ARM-12-023 ARM Climate Research Facility AnnuAl RepoRt - 2012  

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2-023 2-023 ARM Climate Research Facility AnnuAl RepoRt - 2012 New Climate Measurement Sites h ?QOPQK?* ? * - " ?q " *"- ?l *?G qlH?b " * ?q ?e " "* ? ? - " ?*"-? "?- *"- ? "* Y? ? "? ql?l- " ?e " "* ? - ? ? * ? - *? *?n " *- K? K? ? ? "? ? "* ?- ?f "- ?h ? " ?* ? - M?? ? "? "* ? ? ?*-? ?- *"- ? ?* ? ?- ?QOPRK? ?* ?"" ? -" ? ql ? " *" ? "* ?- ? *? " * ?- *"- ? " "*" ? - ?* ?"- M??o - - ?" * * *"- ? - ?* ?*"-? "* ?" Y

387

Research Highlight  

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Download a printable PDF Submitter: Ahlgrimm, M., European Centre for Medium-Range Weather Forecasts Forbes, R. M., European Centre for Medium-Range Weather Forecasts Area of...

388

Research Highlight  

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Zhang Y and SA Klein. 2013. "Factors controlling the vertical extent of fair-weather shallow cumulus clouds over land: investigation of diurnal-cycle observations...

389

Research Highlight  

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scheme for shallow convection: Implementation of CuP and case studies." Monthly Weather Review, 141, doi:10.1175MWR-D-12-00136.1. The Cumulus Potential (CuP)...

390

Research Highlight  

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B Livneh, M Huang, H Wei, S Feng, L Luo, J Meng, and E Wood. 2012. "Validation of Noah-simulated soil temperature in the North American Land Data Assimilation System Phase...

391

Research Highlight  

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Plains (SGP) site. The team included a parameterization to represent irrigation in the Noah land surface model applied in WRF, and conducted a series of simulations with and...

392

Research Highlight  

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solar background "signal" of micropulse lidars. IEEE Geosci. Remote Sens. Lett., 4(3), 456-460, doi:10.1109LGRS.2007.896722. The upper figure illustrates the micropulse lidar...

393

Research Highlight  

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top of the atmosphere (CRETOA) and surface (CRFsurface) based on alternative size and shape distributions for two different profiles (A and B) as a function of time, with the...

394

Research Highlight  

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how to effectively measure surface radiation. The surface radiation budget affects weather and climate, as the Earth's surface transforms about 60% of solar radiation...

395

Research Highlight  

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is time for the atmospheric science community to lay to rest these discussions of extreme solar absorption in cloudy atmospheric columns. ARESE I ran from September 22 through...

396

Research Highlight  

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Besides adversely affecting air quality and human health, aerosols can also influence our weather and climate by altering solar radiation and clouds. Understanding the impacts of...

397

Research Highlight  

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when evaporation of soil moisture is no longer possible to balance the incoming solar radiation. Thus, the weather forecasts have shown that the precipitation bias is not...

398

Research Highlight  

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Trends in Downwelling Longwave Radiation over SGP Download a printable PDF Submitter: Gero, J., University of Wisconsin Turner, D. D., National Oceanic and Atmospheric...

399

Research Highlight  

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wavelengths. In toy models of the atmosphere, "Rayleigh damping" is used as a sink of kinetic energy in the free troposphere. Rayleigh damping accomplishes this by imposing a...

400

Research Highlight  

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- ARSCL) versus Zc (ARSCL). Determining 3D cloud structure from passive satellite imager data is a challenge because unique solutions are difficult when viewing multi-layered...

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401

Research Highlight  

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analysis on general cloud properties illustrates that seasonally and spatially averaged COD distributions for mature clouds have signature shapes for individual DCC active...

402

Research Highlight  

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of several climate and weather models in use in the United States. Surface fluxes, esoteric as they may sound, are just combinations of factors that control the rate of heat and...

403

Research Highlight  

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(CO) and weak drafts (vertical velocity between -0.5 and 0.5 ms-1) measured in clouds. Error bars indicate the standard deviation of the observations. Even smaller cities can...

404

Research Highlight  

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V. Russak, and A. Tsvetkov, (2005): From dimming to brightening: Decadal changes in solar radiation at the Earth's surface, Science, 308, Issue 5723, 847-850, DOI:10.1126...

405

Research Highlight  

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Radar reflectivity data from the TRMM precipitation radar were used to identify daytime storm systems (cloud conditions near local noon have the greatest impact on the solar...

406

Research Highlight  

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or the part of the atmosphere that is affected most directly by surface processes. The thermodynamic properties and aerosol loading of the PBL distinguish it from the free...

407

Research Highlight  

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for the PSD schemes used in this study (left panel) and the corresponding retrieved PSD (right panel). The legend applies to both panels, labeling the 5 PSD schemes used....

408

Research Highlight  

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for atmospheric water vapor to condense upon and ultimately form clouds. In just the right number, aerosols "seed" clouds that have sufficient water, meaning that they are...

409

Research Highlight  

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in boundary-layer temperature, less wind shear between 600 and 850 hPa, and weaker subsidence are found preceding afternoon rain events. Based on the composite sounding for the...

410

Research Highlight  

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while the suppressed and clear periods are dominated by moderate mid-level subsidence and significant low- to mid-level drying through horizontal advection. During the...

411

Research Highlight  

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rainfall; the more droplets, the smaller they become and the less likely they are to fall out of clouds as rain. Understanding the cooling effect of brighter clouds, and the...

412

Research Highlight  

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Encountering a Longstanding Cloud Physics Question in the Arctic: How Is Ice Formed in Moderately Supercooled Clouds? Submitter: Fridlind, A. M., NASA - Goddard Institute for Space...

413

Research Highlight  

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Tropical Ice Cloud Simulations Using Scripps Single Column Model (SCM) Reveal Range of Model Uncertainties Submitter: McFarquhar, G., University of Illinois, Urbana Area of...

414

Research Highlight  

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Importance of Small Ice Crystals to Cirrus Properties: Observations from TWP-ICE Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Area of...

415

Research Highlight  

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The Influence of Parameterized Ice Habit on Simulated Mixed-Phase Arctic Clouds Download a printable PDF Submitter: Harrington, J. Y., Pennsylvania State University Avramov, A.,...

416

Research Highlight  

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Small Irregular Ice Crystals in Tropical Cirrus Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Nousiainen, T. P., University of Helsinki Area of...

417

Research Highlight  

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Ground-Based Measurements in Support of Liquid-Dependent Ice Nucleation in Arctic Clouds Download a printable PDF Submitter: de Boer, G., University of Colorado, BoulderCIRES Area...

418

Research Highlight  

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Dependence of the Single-Scattering Properties of Small Ice Crystals on Idealized Shape Models Download a printable PDF Submitter: Um, J., University of Illinois, Urbana...

419

Research Highlight  

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McFarquhar, G. Zhang, M.R. Poellot, P.J. DeMott, A.J. Prenni and A.J. Heymsfield, 2007: Ice properties of single-layer stratocumulus during the Mixed-Phase Arctic Cloud...

420

Research Highlight  

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are temperature in C. (a)Joint frequency distribution of temperature and fractional ice water content in the mixed-phase cloud from SCAMstd,(b) from SCAMnew. Snow content...

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421

Research Highlight  

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mixed-phase retrieval algorithm, called MIXCRA, has been extensively validated in single-phase clouds (i.e., ice-only or water-only clouds) but had not been validated yet in...

422

Research Highlight  

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thunderstorm simulation (250-m resolution) illustrate the wide discrepancy of the "ice-phase" cloud microphysics (Fig. 1) because other physical parameterizations and...

423

Research Highlight  

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change, with potentially dramatic consequences for the regional ecosystem. Arctic mixed-phase clouds, comprising both ice and supercooled liquid water, have been observed to...

424

Research Highlight  

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alterations occur via various mechanisms, including changes to the amount of nucleated ice, influence on liquid phase precipitation and ice riming rates, and changes to liquid...

425

Research Highlight  

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temperature (GT), the temperature above which water content inside clouds is all in ice phase, in our climate models. In most models and some retrieval techniques a threshold...

426

Research Highlight  

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hence convective fluxes, through condensate loading and latent heatingcooling due to phase changes. The representation of these effects is becoming increasingly important since...

427

Research Highlight  

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the arctic cloud fraction and properties among GCMs. To improve the model cloud parameterization, this paper evaluated the European Center for Medium-Range Weather Forecasts...

428

Research Highlight  

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super-cooled liquid in them. If these clouds also contain ice, they are called mixed-phase clouds. Because mixed-phase clouds are particularly common in the Arctic and because...

429

Research Highlight  

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of cloud liquid water and drizzle flux retrievals can be substantially increased when information on the mean Doppler velocity or Doppler spectrum width is included in the...

430

Research Highlight  

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radiation is more diffuse, leaf N Nitrogen allocation is more uniform due to greater light penetration into the canopy. Our field measurements, together with radiation data...

431

Research Highlight  

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detected cations) during nanoparticle growth events, grouped according the land type. Error bars indicate standard deviation of the mean. Many of the atmosphere's tiniest...

432

Research Highlight  

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Alaska, in 2007, while the second was conducted on a mountain, Cerro Toco, in northern Chile in 2009. The results from RHUBC-I led to a substantial change (factor of 2) in the...

433

Research Highlight  

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downwelling solar radiation, which is the direct energy from the sun plus the diffuse energy from scattered sunlight, over an 18-month period. Note that the conventional numerical...

434

Research Highlight  

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doi:10.10292007JD009334. In the thirty years since the advent of short-term weather forecasts with numerical models, the accuracy of those forecasts has improved steadily....

435

Research Highlight  

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number of atmospheric phenomena, such as an MJO passage, mesoscale convective systems, monsoon trough, and active and dry conditions. The CAM is run with four horizontal...

436

Research Highlight  

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that the timing and temperature of these thin clouds signal whether they form when the monsoon storms originate over the ocean, or primarily over land. The results show a more...

437

Research Highlight  

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Diurnal Cycle of Monsoon Clouds, Precipitation, and Surface Radiation Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory May, P. T., Bureau of...

438

Research Highlight  

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the AMF deployment to Niamey. The dust optical depths were lowest during the late monsoon period, with significant dust loading episodes during the other three periods. The...

439

Research Highlight  

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First Comes the Thunder: Precursors to Local Rainfall in the West African Monsoon Download a printable PDF Submitter: Roeder, L. R., Pacific Northwest National Laboratory Area of...

440

Research Highlight  

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A new study investigates the impact of aerosols on regional climate in southeast China On January 12 of this year news of extreme levels of air pollution in Beijing shocked...

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441

Research Highlight  

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a simulated squall line: Comparison of one- and two-moment schemes." Monthly Weather Review, 137(3), 10.11752008MWR2556.1. Image 1. These figures show the time evolution of...

442

Research Highlight  

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the level of complexity used in two-moment bulk microphysics schemes." Monthly Weather Review, 140(6), doi:10.1175MWR-D-11-00120.1. Sensitivity of surface precipitation to drop...

443

Research Highlight  

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cloud cycles suggests that ice forming nuclei, and thus ice crystal, concentrations must be limited; that ice crystal fallout is significant; and that water vapor is plentiful...

444

Research Highlight  

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to sampling time. However, this is oversimplified as it ignores aggregation and ice fallout. Ice PSDs were approximately unimodal for T < -40C and bimodal for T > -40C. This...

445

Research Highlight  

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for 20% reductions in global methane and regional NOx, NMVOC, and CO emissions. A 20% NOx reduction produces a net positive RF. On the other hand, methane, NMVOC, and CO...

446

Research Highlight  

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Cycle Journal Reference: Varble AC, AM Fridlind, EJ Zipser, AS Ackerman, J Chaboureau, J Fan, A Hill, SA McFarlane, J Pinty, and B Shipway. 2011. "Evaluation of cloud-resolving...

447

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Interactions Journal Reference: Fridlind AM, AS Ackerman, J Chaboureau, J Fan, WW Grabowski, AA Hill, TR Jones, MM Khaiyer, G Liu, P Minnis, H Morrison, L Nguyen, S...

448

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Cycle Journal Reference: Morrison H, P Zuidema, AS Ackerman, A Avramov, G de Boer, J Fan, AM Fridlind, T Hashino, JY Harrington, Y Luo, M Ovchinnikov, and B Shipway. 2011....

449

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Li Z, F Niu, J Fan, Y Liu, and D Rosenfeld. 2011. "The long-term impacts of aerosols on the vertical...

450

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Mrowiec AA, C Rio, AM Fridlind, AS Ackerman, AD Del Genio, OM Pauluis, AC Varble, and J Fan. 2012. "Analysis of cloud-resolving simulations of a tropical mesoscale convective...

451

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Thawing the Mystery of Extra Ice Crystals Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Ovchinnikov, M., Pacific Northwest National Laboratory...

452

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate Download a printable PDF Submitter: Ovink, J., Pacific...

453

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

of radiance in the far-infrared region of the electromagnetic spectrum. Water vapor absorption in this spectral region affects radiative heating and cooling of the upper...

454

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Linking Ice Nucleation to Aerosols and Its Impact on CAM5 Simulated Arctic Clouds and Radiation Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory...

455

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

WI Gustafson, RA Zaveri, JL Jimenez, P Saide, and A Hodzic. 2011. "Modeling organic aerosols in a megacity: Comparison of simple and complex representations of the volatility...

456

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Analyzing the Contribution of Aerosols to an Observed Increase in Direct Normal Irradiance Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory...

457

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

observations were taken. Black regions symbolize the local orography. The underlying humidity field is a combination of interpolated aircraft measurements and the closest AMF...

458

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

(TWP) site at Manus, Papua New Guinea. Drought conditions and population pressures in Indonesia and surrounding areas of the Tropical West Pacific sparked massive biomass burning...

459

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

the tropics. MCSs are analyzed over three tropical locations: the Maritime Continent (IndonesiaMalaysiaNorth Australia), the Bay of Bengal, and West Africa. These regions are...

460

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Carbonaceous Aerosol Aging Mechanisms Improve Agreement of Global Simulations with Data Download a printable PDF Submitter: Dubey, M. K., Los Alamos National Laboratory Area of...

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Spectro-microscopic Measurements of Carbonaceous Aerosol Aging in Central California Download a printable PDF Submitter: Gilles, M., Lawrence Berkeley National Laboratory Moffet,...

462

Research Highlight  

NLE Websites -- All DOE Office Websites (Extended Search)

Group(s): Cloud Modeling Journal Reference: Bretherton, C. S., J. R. McCaa, and H. Grenier. A New Parameterization for Shallow Cumulus Convection and Its Application to Marine...

463

Quality Assurance of ARM Program Climate Research Facility Data  

SciTech Connect

This report documents key aspects of the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) data quality assurance program as it existed in 2008. The performance of ACRF instruments, sites, and data systems is measured in terms of the availability, usability, and accessibility of the data to a user. First, the data must be available to users; that is, the data must be collected by instrument systems, processed, and delivered to a central repository in a timely manner. Second, the data must be usable; that is, the data must be inspected and deemed of sufficient quality for scientific research purposes, and data users must be able to readily tell where there are known problems in the data. Finally, the data must be accessible; that is, data users must be able to easily find, obtain, and work with the data from the central repository. The processes described in this report include instrument deployment and calibration; instrument and facility maintenance; data collection and processing infrastructure; data stream inspection and assessment; the roles of value-added data processing and field campaigns in specifying data quality and haracterizing the basic measurement; data archival, display, and distribution; data stream reprocessing; and engineering and operations management processes and procedures. Future directions in ACRF data quality assurance also are presented.

RA Peppler; KE Kehoe; KL Sonntag; CP Bahrmann; SJ Richardson; SW Christensen; RA McCord; DJ Doty; R Wagener; RC Eagan; JC Lijegren; BW Orr; DL Sisterson; TD Halter; NN Keck; CN Long; MC Macduff; JH Mather; RC Perez; JW Voyles; MD Ivey; ST Moore; DL Nitschke; BD Perkins; DD Turner

2008-03-01T23:59:59.000Z

464

ARM - Procedure for Submitting Science and Research Products to the Data  

NLE Websites -- All DOE Office Websites (Extended Search)

DocumentationProcedure for Submitting Science and Research DocumentationProcedure for Submitting Science and Research Products to the Data Archive Policies, Plans, Descriptions Data Documentation Home Data Sharing and Distribution Policy Data Management and Documentation Plan Data Product Registration and Submission Reading netCDF and HDF Data Files Time in ARM netCDF Data Files Data Archive Documentation ARM Archive's Catalog of Data Streams (Updated monthly) Access to Historical ARM Data More on Understanding and Finding ARM Data Data Quality Problem Reporting Procedure for Submitting Science and Research Products to the Data Archive The Principal Investigator (PI) establishes contact with an ARM Translator to describe the data product. The Translator collects enough information to describe the PI Product within the Translator group; thereby resulting in assignment of the

465

ARM - ARM Organization  

NLE Websites -- All DOE Office Websites (Extended Search)

ARMARM Organization ARMARM Organization Laboratory Partners Nine DOE national laboratories share the responsibility of managing and operating the ARM Climate Research Facility. ARM Group Links Science Board SISC Charter Data Archive Data Management Facility Data Quality Program Engineering Support External Data Center ARM Organization The ARM Climate Research Facility operates field research sites around the world for global change research. Three primary locations-Southern Great Plains, Tropical Western Pacific, North Slope of Alaska-plus aircraft and the portable ARM Mobile Facilities-are heavily instrumented to collect massive amounts of atmospheric measurements needed to create data files. Scientists use these data to study the effects and interactions of sunlight, clouds, and radiant energy, as well as interdisciplinary research

466

ARM - Social Media Guidance  

NLE Websites -- All DOE Office Websites (Extended Search)

CenterSocial Media Guidance CenterSocial Media Guidance Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance Social Media Guidance Comments The ARM Climate Research Facility (ARM) welcomes comments on our website, blog, and our social media sites such as Facebook, Flickr, and YouTube. Comments are welcome at any time; however, responses to comments will

467

Science Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Highlights Highlights Science Highlights Science highlights feature research conducted by staff and users at the ALS. If a Power Point summary slide or a PDF handout of the highlight is available, you will find it linked beneath the highlight listing and on the highlight's page. You may also print a version of a highlight by clicking the print icon associated with each highlight. The Molecular Ingenuity of a Unique Fish Scale Print Monday, 25 November 2013 12:06 ALS research has shown how the scales of a freshwater fish found in the Amazon Basin can literally re-orient themselves in real time to resist force, in essence creating an adaptable body armor. Read more... New Research on Jamming Behavior Expands Understanding Print Tuesday, 22 October 2013 00:00 Recent ALS research has revealed that even magnetic domains behave very much like other granular material systems, and their dynamical behavior mimics the universal characteristics of several jammed systems.

468

Data Quality Assessment and Control for the ARM Climate Research Facility  

Science Conference Proceedings (OSTI)

The mission of the Atmospheric Radiation Measurement (ARM) Climate Research Facility is to provide observations of the earth climate system to the climate research community for the purpose of improving the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their coupling with the Earth's surface. In order for ARM measurements to be useful toward this goal, it is important that the measurements are of a known and reasonable quality. The ARM data quality program includes several components designed to identify quality issues in near-real-time, track problems to solutions, assess more subtle long-term issues, and communicate problems to the user community.

Peppler, R

2012-06-26T23:59:59.000Z

469

Frontiers: Research highlights 1946-1996 [50th Anniversary Edition. Argonne National Laboratory  

SciTech Connect

This special edition of 'Frontiers' commemorates Argonne National Laboratory's 50th anniversary of service to science and society. America's first national laboratory, Argonne has been in the forefront of U.S. scientific and technological research from its beginning. Past accomplishments, current research, and future plans are highlighted.

NONE

1996-12-31T23:59:59.000Z

470

U.S. DEPARTMENT OF ENERGY NUCLEAR ENGINEERING EDUCATION RESEARCH: HIGHLIGHTS  

E-Print Network (OSTI)

U.S. DEPARTMENT OF ENERGY NUCLEAR ENGINEERING EDUCATION RESEARCH: HIGHLIGHTS OF RECENT AND CURRENT RESEARCH--III Sponsored by the Education and Training Division Cosponsored by the Fusion Energy Division! emitted with various energies at different positions with respect to the crystal. These PXR have several

Danon, Yaron

471

ARM - Education  

NLE Websites -- All DOE Office Websites (Extended Search)

CenterEducation CenterEducation Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance Education Education Archive » Junior Rangers Enjoy Science Education at ARM Facility on Cape Cod Apr 25, 2013 School break means vacation, and around Cape Cod, that often means a trip to the seashore. On April 17, families looking for fun and educational outdoor activities spent several hours at Cape Cod National Seashore's Highlands Center for Junior Ranger Day. They were drawn to an event announcement in the park activities newsletter that [...]

472

DOE/SC-ARM-11-001 ARM Climate Research Facility Quarterly Instrument...  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Facility Quarterly Instrument Report Fourth Quarter: October 1-December 30, 2010 JW Voyles January 2011 Work supported by the U.S. Department of Energy, Office of...

473

LANL highlights cutting-edge research at annual LDRD Day | National Nuclear  

NLE Websites -- All DOE Office Websites (Extended Search)

cutting-edge research at annual LDRD Day | National Nuclear cutting-edge research at annual LDRD Day | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > LANL highlights cutting-edge research at annual LDRD Day LANL highlights cutting-edge research at annual LDRD Day Posted By Office of Public Affairs Los Alamos National Laboratory recently showcased some of its cutting-edge

474

LANL highlights cutting-edge research at annual LDRD Day | National Nuclear  

National Nuclear Security Administration (NNSA)

cutting-edge research at annual LDRD Day | National Nuclear cutting-edge research at annual LDRD Day | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > LANL highlights cutting-edge research at annual LDRD Day LANL highlights cutting-edge research at annual LDRD Day Posted By Office of Public Affairs Los Alamos National Laboratory recently showcased some of its cutting-edge

475

DOE/SC-ARM-11-004 ARM Climate Research Facility The U.S. Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

4 4 ARM Climate Research Facility The U.S. Department of Energy Management Plan February 2011 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 infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

476

Brookhaven highlights. Report on research, October 1, 1992--September 30, 1993  

SciTech Connect

This report highlights the research activities of Brookhaven National Laboratory during the period dating from October 1, 1992 through September 30, 1993. There are contributions to the report from different programs and departments within the laboratory. These include technology transfer, RHIC, Alternating Gradient Synchrotron, physics, biology, national synchrotron light source, applied science, medical science, advanced technology, chemistry, reactor physics, safety and environmental protection, instrumentation, and computing and communications.

Rowe, M.S.; Belford, M.; Cohen, A.; Greenberg, D.; Seubert, L. [eds.

1993-12-31T23:59:59.000Z

477

ARM Climate Research Facility Infrastructure Report for the August 2005 STEC Meeting  

NLE Websites -- All DOE Office Websites (Extended Search)

Climate Research Facility Climate Research Facility Operations Status System Upgrades & Enhancements Status Brad Perkins ARM Engineering, TWPO/AMF March 29, 2006 2 Overview ARM Science Team Meeting - March 2006 Progress Report Demonstration Discussion? 3 Background Before we go on... Who is my Audience? Do I need to explain OSS' Purpose? 4 Background OSS Meeting, July 2005 Argonne National Laboratory ECO-00432 Late 2004/Early 2005 Requirements Analysis Operations Managers, OSS Users Present Problems Reviewed & Solutions Offered Future Features/Modules Discussed Path Forward Outlined w/ Schedule Calibration Module Requirement Removed 5 Status December 2005 Target Underestimated Effort Other Issues Competing Priorities (AMF support) Post Argonne Meeting Requirements Gathering

478

ARM - 2007 Performance Metrics  

NLE Websites -- All DOE Office Websites (Extended Search)

7 Performance Metrics 7 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 2007 Performance Metrics A Single Column Model (SCM) represents the evolution of the atmosphere in a single grid box of a Global Climate Model (GCM). This illustration represents the observing strategy of ARM, which takes continuous atmospheric observations from fixed sites in three climate regimes around the world. A Single Column Model (SCM) represents the evolution of the atmosphere in a

479

ARM - 2008 Performance Metrics  

NLE Websites -- All DOE Office Websites (Extended Search)

8 Performance Metrics 8 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 2008 Performance Metrics Each year, the ARM Program must submit to DOE an overall performance measure related to scientific achievement. The overall performance measure includes specific metrics for reporting progress each quarter. This reporting process includes support documentation (usually a report or data file) appropriate for the metric. Overall Performance Measures

480

ARM - Facility News Article  

NLE Websites -- All DOE Office Websites (Extended Search)

31, 2004 Facility News ARM Climate Research Facility Achieves User Milestone Three Months Ahead of Schedule Bookmark and Share Summary of the ARM Climate Research Facility User...

Note: This page contains sample records for the topic "arm research highlights" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

ARM - Publications: Science Team Meeting Documents: Aerosol Research...  

NLE Websites -- All DOE Office Websites (Extended Search)

Aerosol Research at the Arctic Facility for Atmospheric Remote Sensing (AFARS): In Search of Indirect Cloud Effects Sassen, Kenneth University of Alaska Fairbanks Tiruchirapalli,...

482

North Slope of Alaska ARM Climate Research Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

3 Emergency Response Plan June 2010 Atmospheric Radiation Measurement Climate Research Facility North Slope of AlaskaAdjacent Arctic Ocean Emergency Response Plan Purpose The...

483

NREL: Wind Research - The Denver Post Highlights the NWTC's New 5-MW  

NLE Websites -- All DOE Office Websites (Extended Search)

The Denver Post Highlights the NWTC's New 5-MW Dynamometer The Denver Post Highlights the NWTC's New 5-MW Dynamometer January 2, 2014 On January 2, a reporter from The Denver Post toured the new 5-megawatt dynamometer test facility at the National Wind Technology Center (NWTC). Denver Post Writer Mark Jaffe spoke with NWTC Center Director Fort Felker to learn more about how these innovative research capabilities can impact the wind industry as a whole. Read the full story . Officially dedicated in December, the new facility houses one of the largest dynamometers in the world, which offers advanced capabilities to test the mechanical and electrical power-producing systems of multimegawatt wind turbines in a controlled environment. The new dynamometer can also be directly connected to the electric grid or through a controllable grid

484

ARM Climate Research Facility Monthly Instrument Report August 2010  

SciTech Connect

The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

Voyles, JW

2010-09-28T23:59:59.000Z

485

ARM Climate Research Facility Monthly Instrument Report September 2010  

SciTech Connect

The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

Voyles, JW

2010-10-18T23:59:59.000Z

486

ARM Climate Research Facility Instrumentation Status and Information December 2009  

Science Conference Proceedings (OSTI)

The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

JW Voyles

2010-12-30T23:59:59.000Z

487

ARM Orientation: Overview and History  

NLE Websites -- All DOE Office Websites (Extended Search)

- two papersyr per grant (average) - at least one science highlight per year - annual RIMS progress report Mar 2009 ARM Orientation 7 ARM also expects you to participate...

488

ARM - Site Index  

NLE Websites -- All DOE Office Websites (Extended Search)

govSite Index govSite Index Expand | Collapse Site Index Videos Image Library About ARM About ARM (home) ARM and the Recovery Act ARM and the Recovery Act (home) ARM Recovery Act Project FAQs Recovery Act Instruments ARM Climate Research Facility Contributions to International Polar Year (IPY) ARM Climate Research Facility Contributions to International Polar Year (IPY) (home) ARM Education and Outreach Efforts Support IPY Research Support for International Polar Year (IPY) ARM Organization ARM Organization (home) Laboratory Partners ARM Safety Policy ARM Science Board ARM Science Board (home) Board Business Become a User Comments and Questions Contacts Contacts (home) ARM Engineering and Operations Contacts Facility Statistics Facility Statistics (home) Historical Field Campaign Statistics

489

Highlights of the 2009 SEG summer research workshop on ""CO2 sequestration geophysics  

SciTech Connect

The 2009 SEG Summer Research Workshop on 'CO{sub 2} Sequestration Geophysics' was held August 23-27, 2009 in Banff, Canada. The event was attended by over 100 scientists from around the world, which proved to be a remarkably successful turnout in the midst of the current global financial crisis and severe corporate travel restrictions. Attendees included SEG President Larry Lines (U. Calgary), and CSEG President John Downton (CGG Veritas), who joined SRW Chairman David Lumley (UWA) in giving the opening welcome remarks at the Sunday Icebreaker. The workshop was organized by an expert technical committee representing a good mix of industry, academic, and government research organizations. The format consisted of four days of technical sessions with over 60 talks and posters, plus an optional pre-workshop field trip to the Columbia Ice Fields to view firsthand the effects of global warming on the Athabasca glacier. Group technical discussion was encouraged by requiring each presenter to limit themselves to 15 minutes of presentation followed by a 15 minute open discussion period. Technical contributions focused on the current and future role of geophysics in CO{sub 2} sequestration, highlighting new research and field-test results with regard to site selection and characterization, monitoring and surveillance, using a wide array of geophysical techniques. While there are too many excellent contributions to mention all individually here, in this paper we summarize some of the key workshop highlights in order to propagate new developments to the SEG community at large.

Huang, Lianjie [Los Alamos National Laboratory; Lumley, David [U. W. AUSTRALIA; Sherlock, Don [CHEVRON; Daley, Tom [LBNL; Lawton, Don [U CALGARY; Masters, Ron [SHELL; Verliac, Michel [SCHLUMBERGER; White, Don [GEOL. SURVEY CANADA

2009-01-01T23:59:59.000Z

490

Highlights of the 2009 SEG summer research workshop on"CO2 Sequestration Geophysics"  

Science Conference Proceedings (OSTI)

The 2009 SEG Summer Research Workshop on CO2 Sequestration Geophysics was held August 23-27, 2009 in Banff, Canada. The event was attended by over 100 scientists from around the world, which proved to be a remarkably successful turnout in the midst of the current global financial crisis and severe corporate travel restrictions. Attendees included SEG President Larry Lines (U. Calgary), and CSEG President John Downton (CGG Veritas), who joined SRW Chairman David Lumley (UWA) in giving the opening welcome remarks at the Sunday Icebreaker. The workshop was organized by an expert technical committee (see side bar) representing a good mix of industry, academic, and government research organizations. The format consisted of four days of technical sessions with over 60 talks and posters, plus an optional pre-workshop field trip to the Columbia Ice Fields to view firsthand the effects of global warming on the Athabasca glacier (Figures 1-2). Group technical discussion was encouraged by requiring each presenter to limit themselves to 15 minutes of presentation followed by a 15 minute open discussion period. Technical contributions focused on the current and future role of geophysics in CO2 sequestration, highlighting new research and field-test results with regard to site selection and characterization, monitoring and surveillance, using a wide array of geophysical techniques. While there are too many excellent contributions to mention all individually here, in this paper we summarize some of the key workshop highlights in order to propagate new developments to the SEG community at large.

Lumley, D.; Sherlock, D.; Daley, T.; Huang, L.; Lawton, D.; Masters, R.; Verliac, M.; White, D.

2010-01-15T23:59:59.000Z

491

ARM TR-008  

NLE Websites -- All DOE Office Websites (Extended Search)

and Environmental Research July 1 - September 30, 2006, ARM 06-018 Contents 1. Data Availability......

492

ARM - Field Campaign - Aircraft Carbon  

NLE Websites -- All DOE Office Websites (Extended Search)

govCampaignsAircraft Carbon govCampaignsAircraft Carbon Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Aircraft Carbon 2006.07.01 - 2008.09.30 Lead Scientist : Margaret Torn For data sets, see below. Description Airborne trace-gas measurements at ARM-SGP provided valuable data for addressing carbon-cycle questions highlighted by the US Climate Change Research Program and the North American Carbon Program. A set of carbon-cycle instruments and sample collection systems were added to an ARM-managed aircraft at ARM-SGP user facility. A separate (in-place) grant covered the cost of developing the instrument systems, analyzing the data, and ingesting all data to the ARM data archives. In the short-term (~1 y) we had two priorities. The first was to acquire

493

ARM - Selected Science Team Proposals - FY 1995  

NLE Websites -- All DOE Office Websites (Extended Search)

5 5 Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 Selected Science Team Proposals - FY 1995 Dr. R. Nelson Byrne, SAIC: "Evolution of a New GCM-Capable Stochastic Cloud/Radiation Parameterization Using ARM Data - Phase II" Dr. Steven J. Ghan, Pacific Northwest National Laboratory: "Parameterization of Convective Cloud Coverage in GCMs" Dr. George Golitsyn, Russian Academy of Sciences, Institute of

494

SRNL - Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

Highlights Highlights Research exchange promotes networking between SRNL and Historically Black Colleges and Universities SRNL Research Paves Way for Portable Power Systems SRNS Program Provides Model for Assisting Wounded Warriors Re-enter Workforce Research Advances Next Generation of Nuclear Reactors FBI, Savannah River National Laboratory, Put Science to Work to Protect the Nation Wind Turbine Facility to help grow U.S. wind technology Interns Gain Valuable Research Experience New Projects Advance Nation's Energy Security Blue-green Algae and Hydrogen Production: Carbon boosts to the rescue SRNL Project Ready to Explore Sub-Nano Technology SRNL program successfully demonstrates fractional crystallization SRNL researchers unveil permeable glass 'microballoons' that can carry hydrogen, deliver drugs, and filter gases

495

ARM - Key Science Questions  

NLE Websites -- All DOE Office Websites (Extended Search)

govScienceKey Science Questions govScienceKey Science Questions Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 Key Science Questions The role of clouds and water vapor in climate change is not well understood; yet water vapor is the largest greenhouse gas and directly affects cloud cover and the propagation of radiant energy. In fact, there may be positive feedback between water vapor and other greenhouse gases. Carbon dioxide and other gases from human activities slightly warm the

496

ARM - 2009 Performance Metrics  

NLE Websites -- All DOE Office Websites (Extended Search)

9 Performance Metrics 9 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 2009 Performance Metrics Improve Climate Models - Develop a coupled climate model with fully interactive carbon and sulfur cycles, as well as dynamic vegetation to enable simulations of aerosol effects, carbon chemistry, and carbon sequestration by the land surface and oceans and the interactions between the carbon cycle and climate. In fiscal year 2009: Provide improved climate

497

ARM - Publications: Science Team Meeting Documents: Publication...  

NLE Websites -- All DOE Office Websites (Extended Search)

Publication Trends of ARM Research Troyan, David Brookhaven National Laboratory This study summarizes the publication record of ARM research. Items of all types listed in the ARM...

498

ARM - ARM Recovery Act Project FAQs  

NLE Websites -- All DOE Office Websites (Extended Search)

ActARM Recovery Act Project FAQs ActARM Recovery Act Project FAQs Recovery Act Logo Subscribe FAQs Recovery Act Instruments Recovery Act Fact Sheet March 2010 Poster (PDF, 10MB) External Resources Recovery Act - Federal Recovery Act - DOE Recovery Act - ANL Recovery Act - BNL Recovery Act - LANL Recovery Act - PNNL Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send ARM Recovery Act Project FAQs Why is ARM buying new instruments and equipment? The ARM Climate Research Facility (ARM) is receiving $60 million dollars in Recovery Act funding from the U.S. Department of Energy Office of Science to build the next generation facility for climate change research. Using input from past ARM user workshops and ARM working group discussion, ARM has planned for the purchase and deployment of an expansive array of new

499

Argonne highlights green research in honor of Earth Day | Argonne National  

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is lowering its campus energy footprint in creative ways. These hybrid solar- and wind-powered streetlights, which are completely off the grid, adorn Argonne sidewalks. A small solar panel and wind turbine powers the LED light atop the fixture. The light can store energy in batteries for up to three days without sun or wind. is lowering its campus energy footprint in creative ways. These hybrid solar- and wind-powered streetlights, which are completely off the grid, adorn Argonne sidewalks. A small solar panel and wind turbine powers the LED light atop the fixture. The light can store energy in batteries for up to three days without sun or wind. Argonne is lowering its campus energy footprint in creative ways. These hybrid solar- and wind-powered streetlights, which are completely off the grid, adorn Argonne sidewalks. A small solar panel and wind turbine powers the LED light atop the fixture. The light can store energy in batteries for up to three days without sun or wind. Argonne highlights green research in honor of Earth Day By Louise Lerner * April 21, 2011 Tweet EmailPrint

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ARM - About ARM  

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ARM About Become a User Recovery Act Mission FAQ History Organization Participants Facility Statistics Forms Contacts Facility Documents ARM Management Plan (PDF, 335KB) Field...