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Sample records for micropulse lidar mpl

  1. Micropulse Lidar The ARM Program studies

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

    1 Micropulse Lidar The ARM Program studies clouds, sunlight, and their interactions to understand how they affect Earth's climate. One of the many instruments used to look at clouds at the SGP CART site is the micropulse lidar (MPL; "lidar" was coined from "light distance and ranging"). The ARM Program operates five MPLs. One is at the SGP central facility; one is at the North Slope of Alaska CART site in Barrow, Alaska; and three are for use at the Tropical Western Pacific

  2. Novel polarization-sensitive micropulse lidar measurement technique

    SciTech Connect (OSTI)

    Flynn, Connor J.; Mendoza, Albert; Zheng, Yunhui; Mathur, Savyasachee

    2007-03-19

    Polarization-sensitive detection of elastic backscatter is useful for detection of cloud phase and depolarizing aerosols. The U.S. DOE Atmospheric Radiation Measurements (ARM) Program has deployed micropulse lidar (MPL) for over a decade, but without polarized detection. Adding an actively-controlled liquid crystal retarder provides the capability to identify depolarizing particles by alternately transmitting linearly and circularly polarized light. This represents a departure from established techniques which transmit exclusively linear polarization or exclusively circular polarization. Mueller matrix calculations yield simple relationships between the well-known linear depolarization ratio δlinear, the circular depolarization ratio δcirc, and the hybrid MPL depolarization ratio δMPL. This research was supported by the Office of Biological and Environmental Research of the U.S. Department of Energy as part of the Atmospheric Radiation Measurement Program.

  3. ARM - Campaign Instrument - mpl

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Micropulse Lidar (MPL) Instrument Categories Cloud Properties Campaigns...

  4. MPL

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

    NFOV MPL (c) 0 20 40 60 80 100 15.5 16 16.5 17 17.5 0 20 40 60 80 100 0 20 40 60 80 100 What Lidars Can Tell Us About Optical Properties of Thick Clouds Alexander Marshak 1 , J.-Y. Christine Chiu 2 , and Warren Wiscombe 1,3 1 NASA/Goddard Space Flight Center 2 Joint Center for Earth Systems Technology/UMBC 3 Brookhaven national Laboratory First MPL and Raman lidar (thick) cloud optical depth retrievals using solar background signal (overcast cases) * Lidars can retrieve optical depth of thick

  5. ARM - Campaign Instrument - mpl-air

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Micropulse Lidar- Airborne (MPL-AIR) Instrument Categories Aerosols,...

  6. ARM: ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  7. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  8. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  9. ARM: ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

    ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  10. ARM: ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  11. ARM: ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

    ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  12. ARM - Evaluation Product - MPL Corrected for Ship Motion (MPLPOLFSSHIPCOR)

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

    ProductsMPL Corrected for Ship Motion (MPLPOLFSSHIPCOR) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : MPL Corrected for Ship Motion (MPLPOLFSSHIPCOR) [ ARM research - evaluation data product ] The Micropulse Lidar (MPL) Ship Correction (MPLPOLFSSHIPCOR) VAP is intended to correct the effect of ship

  13. ARM - Evaluation Product - MicroPulse LIDAR Cloud Optical Depth (MPLCOD)

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

    ProductsMicroPulse LIDAR Cloud Optical Depth (MPLCOD) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : MicroPulse LIDAR Cloud Optical Depth (MPLCOD) The MPLCOD VAP retrieves the column cloud visible optical depth using LIDAR derived backscatter from the MPLNOR (Micro Pulse Lidar Normalized Backscatter) and

  14. Lidar Inter-Comparison Exercise Final Campaign Report

    SciTech Connect (OSTI)

    Protat, A; Young, S

    2015-02-01

    The objective of this field campaign was to evaluate the performance of the new Leosphere R-MAN 510 lidar, procured by the Australian Bureau of Meteorology, by testing it against the MicroPulse Lidar (MPL) and Raman lidars, at the Darwin Atmospheric Radiation Measurement (ARM) site. This lidar is an eye-safe (355 nm), turn-key mini Raman lidar, which allows for the detection of aerosols and cloud properties, and the retrieval of particulate extinction profiles. To accomplish this evaluation, the R-MAN 510 lidar has been operated at the Darwin ARM site, next to the MPL, Raman lidar, and Vaisala ceilometer (VCEIL) for three months (from 20 January 2013 to 20 April 2013) in order to collect a sufficient sample size for statistical comparisons.

  15. ARM - Field Campaign - M-PACE - Polarization Diversity Lidar (PDL)

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

    - Polarization Diversity Lidar (PDL) Campaign Links M-PACE Website ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : M-PACE - Polarization Diversity Lidar (PDL) 2004.09.01 - 2004.10.21 Lead Scientist : Kenneth Sassen For data sets, see below. Abstract In support of M-PACE, a Polarization Diversity Lidar (PDL), was deployed to the NSA. Unlike the micro pulses of the MPL (micropulse lidar) present at NSA, the

  16. Planetary Boundary Layer from AERI and MPL

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

    Sawyer, Virginia

    2014-02-13

    The distribution and transport of aerosol emitted to the lower troposphere is governed by the height of the planetary boundary layer (PBL), which limits the dilution of pollutants and influences boundary-layer convection. Because radiative heating and cooling of the surface strongly affect the PBL top height, it follows diurnal and seasonal cycles and may vary by hundreds of meters over a 24-hour period. The cap the PBL imposes on low-level aerosol transport makes aerosol concentration an effective proxy for PBL height: the top of the PBL is marked by a rapid transition from polluted, well-mixed boundary-layer air to the cleaner, more stratified free troposphere. Micropulse lidar (MPL) can provide much higher temporal resolution than radiosonde and better vertical resolution than infrared spectrometer (AERI), but PBL heights from all three instruments at the ARM SGP site are compared to one another for validation. If there is agreement among them, the higher-resolution remote sensing-derived PBL heights can accurately fill in the gaps left by the low frequency of radiosonde launches, and thus improve model parameterizations and our understanding of boundary-layer processes.

  17. Cloud Effects on Radiative Heating Rate Profiles over Darwin using ARM and A-train Radar/Lidar Observations

    SciTech Connect (OSTI)

    Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.

    2013-06-11

    Observations of clouds from the ground-based U.S. Department of Energy Atmospheric Radiation Measurement program (ARM) and satellite-based A-train are used to compute cloud radiative forcing profiles over the ARM Darwin, Australia site. Cloud properties are obtained from both radar (the ARM Millimeter Cloud Radar (MMCR) and the CloudSat satellite in the A-train) and lidar (the ARM Micropulse lidar (MPL) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite in the A-train) observations. Cloud microphysical properties are taken from combined radar and lidar retrievals for ice clouds and radar only or lidar only retrievals for liquid clouds. Large, statistically significant differences of up to 1.43 K/day exist between the mean ARM and A-train net cloud radiative forcing profiles. The majority of the difference in cloud radiative forcing profiles is shown to be due to a large difference in the cloud fraction above 12 km. Above this altitude the A-train cloud fraction is significantly larger because more clouds are detected by CALIPSO than by the ground-based MPL. It is shown that the MPL is unable to observe as many high clouds as CALIPSO due to being more frequently attenuated and a poorer sensitivity even in otherwise clear-sky conditions. After accounting for cloud fraction differences and instrument sampling differences due to viewing platform we determined that differences in cloud radiative forcing due to the retrieved ice cloud properties is relatively small. This study demonstrates that A-train observations are better suited for the calculation cloud radiative forcing profiles. In addition, we find that it is necessary to supplement CloudSat with CALIPSO observations to obtain accurate cloud radiative forcing profiles since a large portion of clouds at Darwin are detected by CALIPSO only.

  18. Raman lidar and MPL Measurements during ALIVE

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

    National Laboratory Petty, Diana Pacific Northwest National Laboratory Mendoza, Albert Pacific Northwest National Laboratory Clayton, Marian NASA Langley Research Center...

  19. Characterizing Arctic Mixed-phase Cloud Structure

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

    have two distinguished cloud base heights (CBHs) that can be defined by both ceilometer (black dots) and micropulse lidar (MPL; pink dots) measurements (Figure 1). For a...

  20. ARM - Publications: Science Team Meeting Documents: Autonomous Retrieval of

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

    Cloud and Aerosol Properties from ARM Micropulse Lidar Autonomous Retrieval of Cloud and Aerosol Properties from ARM Micropulse Lidar Flynn, Connor Pacific Northwest National Laboratory Christy, Jason Columbia University Beus, Sherman PNNL Micropulse Lidar (MPL) have been a core component of ARM active remote sensing for more than a decade. To date, autonomous value-added products developed from the MPL have focused strictly on determination of cloud base and cloud boundaries. We present

  1. X:\ARM_19~1\P185-192.WPD

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

    Micropulse lidar cloud base frequency. A One-Year Cloud Climatology Using Data from the Southern Great Plains (SGP) Site Micropulse Lidar G. G. Mace and T. P. Ackerman Penn State University, Department of Meteorology University Park, Pennsylvania J. Spinhirne and S. Scott NASA Goddard Space Flight Center Greenbelt, Maryland Data Acquisition and Analysis The micropulse lidar (MPL) has been operational at the Southern Great Plains site of the Atmospheric Radiation Measurement Program for the past

  2. ARM - Field Campaign - MPL Measurements, Norwegian Young sea...

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : MPL Measurements, Norwegian Young sea ICE cruise 2014.10.01 - 2015.07.09 Lead...

  3. ARM - Datastreams - mplpol

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

    Datastreamsmplpol Documentation Data Quality Plots Citation DOI: 10.5439/1025245 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MPLPOL Micropulse Lidar (MPL) polarized: cloud base and top heights Active Dates 2006.05.02 - 2014.12.31 Measurement Categories Aerosols, Cloud Properties Originating Instrument Micropulse Lidar (MPL) Measurements The measurements below

  4. ARM - Datastreams - mplpolfs

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

    Datastreamsmplpolfs Documentation Data Quality Plots Citation DOI: 10.5439/1025246 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MPLPOLFS Micropulse Lidar (MPL) polarized, fast sampling: cloud base and top heights Active Dates 2010.06.01 - 2016.03.10 Measurement Categories Cloud Properties Originating Instrument Micropulse Lidar (MPL) Measurements Only measurements

  5. ARM - PI Product - Planetary Boundary Layer from AERI and MPL

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

    ProductsPlanetary Boundary Layer from AERI and MPL ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Planetary Boundary Layer from AERI and MPL The distribution and transport of aerosol emitted to the lower troposphere is governed by the height of the planetary boundary layer (PBL), which limits the dilution of pollutants and influences boundary-layer convection. Because radiative heating and cooling of

  6. powell-98.pdf

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

    9 Micropulse Lidar Tenerife, Canary Island Observations D. M. Powell, J. A. Reagan, M. A. Rubio, and W. H. Erxleben Electrical and Computer Engineering Department University of Arizona Tucson, Arizona J. D. Spinhirne NASA-Goddard Space Flight Center Greenbelt, Maryland Introduction Ground-based micropulse lidar (MPL) observations were made on Tenerife, Canary Islands during June and July 1997. It is during these summer months that episodes of elevated Saharan dust layers occur as a result of

  7. ARM - Datastreams - mplps

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

    Datastreamsmplps Documentation Data Quality Plots Citation DOI: 10.5439/1025247 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MPLPS Micropulse Lidar: polarization of atmosphere Active Dates 2003.11.11 - 2006.09.27 Measurement Categories Cloud Properties Originating Instrument Micropulse Lidar (MPL) Measurements The measurements below provided by this product are

  8. DOE/SC-ARM/TR-098 Micropulse Lidar Cloud Mask Value-Added Product...

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

    ... Journal of Atmospheric and Oceanic Technology 19: 431-442. Clothiaux, EE, GG Mace, TP Ackerman, TJ Kane, JD Spinhirne, and VS Scott. 1998. "An Automated Algorithm for Detection of ...

  9. Lidar Inter-Comparison Exercise Final Campaign Report

    SciTech Connect (OSTI)

    Protat, Alain; Young, S.

    2015-02-01

    The objective of this IOP was to evaluate the performances of the new Leosphere R-MAN 510 lidar procured by the Australian Bureau of Meteorology, by testing it against the MPL and Raman lidars at the Darwin ARM site. This lidar is an eye-safe (355 nm), turn-key mini Raman lidar, which allows for the detection of aerosols and cloud properties, and the retrieval of particulate extinction profiles. To do so, the R-MAN 510 lidar has been operated at the Darwin ARM site, next to the MPL, Raman lidar, and Vaisala ceilometer for three months (from 20 January 2013 to 20 April 2013) in order to collect a good sample for statistical comparisons. The comparisons with the Raman lidar were not performed, since the Raman lidar attenuated backscatter and depolarization ratio product was not available. A new product has just been delivered to the ARM archive as a value-added product, hence this study will continue. Nevertheless we have developed software to match the different space and time resolutions of the other lidars and project the data onto a common grid to permit detailed comparison of the instruments’ performance and an enhanced analysis of clouds and aerosols through the use of composite data products, like the ratios of attenuated backscatters, attenuated scattering ratios and depolarization ratios. Comparisons between the MPL and R-MAN510 lidar data exhibit large differences in total attenuated backscatter at 355 and 532 nm, attenuated scattering ratios, and aerosol volume depolarization ratios. Differences in attenuated backscatter result mainly from the different relative contributions of scattering from molecules and particles at the different wavelengths, but there are some intriguing differences that will require further investigations. The differences in volume depolarization ratios are due to the much larger contribution of molecular returns to the volume depolarization ratio (5 times larger at 355 nm than at 532 nm). The R-MAN510 lidar is also found to be much less sensitive to daylight solar background illumination, which is greater at the visible wavelength than in the UV.

  10. DISCLAIMER

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

    019 Micropulse Lidar (MPL) Handbook R Coulter May 2012 Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research R Coulter, May 2012, DOE/SC-ARM/TR-019 ii Contents 1.0 General Overview ................................................................................................................................. 1 2.0 Contacts

  11. Study on the steady operating state of a micro-pulse electron gun

    SciTech Connect (OSTI)

    Kui, Zhou; Xing, Luo; Xiangyang, Lu; Shengwen, Quan; Jifei, Zhao; Ziqin, Yang

    2014-09-15

    Micro-pulse electron gun (MPG) employs the basic concept of multipacting to produce high-current and short-pulse electron beams from a radio-frequency (RF) cavity. The concept of MPG has been proposed for more than two decades. However, the unstable operating state of MPG vastly obstructs its practical applications. This paper presents a study on the steady operating state of a micro-pulse electron gun with theory and experiments. The requirements for the steady operating state are proposed through the analysis of the interaction between the RF cavity and the beam load. Accordingly, a MPG cavity with the frequency of 2856 MHz has been designed, constructed, and tested. Some primary experiments have been finished. Both the unstable and stable operating states of the MPG have been observed. The stable output beam current has been detected at about 3.8 mA. Further experimental study is under way now.

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

    SciTech Connect (OSTI)

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

    2015-11-01

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

  13. ARM - VAP Process - mplavg

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

    Productsmplavg Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : MPL: data averaged to fixed 30 second interval, e.g. for polarized data (MPLAVG) Instrument Categories Cloud Properties Output Products mplpolavg : Micropulse Lidar polarized (MPLPOL) data averaged to fixed 30 second interval Primary Measurements The following measurements are

  14. ARM - VAP Process - mplnor

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

    Productsmplnor Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Normalized Backscatter Profiles from the Micropulse Lidar (MPLNOR) Instrument Categories Cloud Properties This VAP has two primary purposes: to apply the appropriate corrections to create normalized backscatter profiles from the MPL, and to detect all significant cloud

  15. ARM - Publications: Science Team Meeting Documents

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

    Two-Year Comparison of Cloud-Base Height Measured by MPL, MMCR, and VCEIL at the ARM/NSA Barrow Facility Petracca, B., Shaw, J.A., and Zak, B.D., Montana State University and Sandia National Laboratories This comparison focuses primarily on differences in cloud base height and percentage clear sky that are reported by the Micropulse Lidar (MPL), Millimeter Cloud Radar (MMCR), and Vaisala Ceilometer (VCEIL) at Barrow. Additionally, this study could be useful in interpreting the cloud data from

  16. ARM - Facility News Article

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

    August 15, 2010 [Facility News] Micropulse Lidars Get Boost from Recovery Act Bookmark and Share Shown here during installation on the aft deck of the RV Connecticut, the upgraded MPL includes a sleek new computer that can fit into smaller spaces. The laser window at the top is covered by a cone until the instrument is turned on. Shown here during installation on the aft deck of the RV Connecticut, the upgraded MPL includes a sleek new computer that can fit into smaller spaces. The laser window

  17. ARM - Measurement - Lidar polarization

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

    govMeasurementsLidar polarization ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Lidar polarization The temporal and geometric behavior of the electric field vector of an electromagnetic wave transmitted or received by a lidar system, e.g. elliptical polarization, differential reflectivity, phase shift, co-polar correlation coefficient, linear depolarization ratio. Categories Cloud Properties

  18. Two New ARM Sites: Oliktok, Alaska, and the Azores

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

    radar, scanning precipitation radar, and radar wind profler * Lidars: micropulse lidar, Doppler lidar, and high spectral resolution lidar * Atmospheric and boundary state:...

  19. emerging-lidar

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

    Emerging LIDAR Based Approaches For 3D Mapping Presentation at Argonne TRACC May 11, 2012 2:00 PM(CDT) TRACC Conference Room: Building 222, Room D-233 Dr. Xin Chen Senior Research Scientist at Nokia Chicago, IL Abstract Modeling real world in the 3D modality is broadly applicable to the surveying, navigation, intelligent vehicle, urban modeling, mapping and augmented reality fields. With the rapid development of LIDAR sensors and global positioning technologies, large scale, geo-referenced and

  20. Lidar Investigation of Tropical Nocturnal Boundary Layer Aerosols and Cloud Macrophysics

    SciTech Connect (OSTI)

    Manoj, M. G.; Devara, PC S.; Taraphdar, Sourav

    2013-10-01

    Observational evidence of two-way association between nocturnal boundary layer aerosols and cloud macrophysical properties under different meteorological conditions is reported in this paper. The study has been conducted during 2008-09 employing a high space-time resolution polarimetric micro-pulse lidar over a tropical urban station in India. Firstly, the study highlights the crucial role of boundary layer aerosols and background meteorology on the formation and structure of low-level stratiform clouds in the backdrop of different atmospheric stability conditions. Turbulent mixing induced by the wind shear at the station, which is associated with a complex terrain, is found to play a pivotal role in the formation and structural evolution of nocturnal boundary layer clouds. Secondly, it is shown that the trapping of energy in the form of outgoing terrestrial radiation by the overlying low-level clouds can enhance the aerosol mixing height associated with the nocturnal boundary layer. To substantiate this, the long-wave heating associated with cloud capping has been quantitatively estimated in an indirect way by employing an Advanced Research Weather Research and Forecasting (WRF-ARW) model version 2.2 developed by National Center for Atmospheric Research (NCAR), Colorado, USA, and supplementary data sets; and differentiated against other heating mechanisms. The present investigation as well establishes the potential of lidar remote-sensing technique in exploring some of the intriguing aspects of the cloud-environment relationship.

  1. Raman Lidar (RL) Handbook

    SciTech Connect (OSTI)

    Newsom, RK

    2009-03-01

    The Raman lidar at the ARM Climate Research Facility (ACRF) Southern Great Plains (SGP) Central Facility (SGPRL) is an active, ground-based laser remote sensing instrument that measures height and time resolved profiles of water vapor mixing ratio and several cloud- and aerosol-related quantities. The system is a non-commercial custom-built instrument developed by Sandia National Laboratories specifically for the ARM Program. It is fully computer automated, and will run unattended for many days following a brief (~5-minute) startup period. The self-contained system (requiring only external electrical power) is housed in a climate-controlled 8x8x20 standard shipping container.

  2. Yost_ARM_Mar07.ppt

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

    Improved Cloud Detection over the SGP * GOES-8 data from June to November 1998 were reprocessed over a region within a 10-km radius of the ARM SGP Central Facility using the new stats algorithm to aid cloud detection during twilight * Table 1 shows how the new VISST cloud amounts compare to 30-minute averaged cloud amounts derived from micropulse lidar (MPL) data. Values in parentheses were obtained without using the stats algorithm * An example from June 5, 1998, is illustrated in Figure 2

  3. ARM - Evaluation Product - WACR-ARSCL VAP

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

    ProductsWACR-ARSCL VAP ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : WACR-ARSCL VAP Observations from the 95 GHz W-band ARM Cloud Radar (WACR), Micropulse Lidar (MPL), and ceilometer have been combined using the new WACR Active Remote Sensing of Clouds (WACR-ARSCL) VAP (Kollias and Miller, 2007) to

  4. ARM - Datastreams - mpl

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

    Browse Plots Central Facility, Darwin, Australia retired ARM Mobile Facility NIM M1 Browse Data Browse Plots Niamey, Niger retired PYE M1 Browse Data Browse Plots Point Reyes, CA...

  5. ARM - Instrument - mpl

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

    Browse Plots Highland Center, Cape Cod MA; AMF1 PYE M1 Browse Data Browse Plots Point Reyes, CA retired SBS S1 Browse Data Steamboat Springs CO, Thunderhead Lodge TMP M1 Browse...

  6. Doppler Lidar (DL) Handbook

    SciTech Connect (OSTI)

    Newsom, RK

    2012-02-13

    The Doppler lidar (DL) is an active remote sensing instrument that provides range- and time-resolved measurements of radial velocity and attenuated backscatter. The principle of operation is similar to radar in that pulses of energy are transmitted into the atmosphere; the energy scattered back to the transceiver is collected and measured as a time-resolved signal. From the time delay between each outgoing transmitted pulse and the backscattered signal, the distance to the scatterer is inferred. The radial or line-of-sight velocity of the scatterers is determined from the Doppler frequency shift of the backscattered radiation. The DL uses a heterodyne detection technique in which the return signal is mixed with a reference laser beam (i.e., local oscillator) of known frequency. An onboard signal processing computer then determines the Doppler frequency shift from the spectra of the heterodyne signal. The energy content of the Doppler spectra can also be used to determine attenuated backscatter.

  7. Sandia Energy - ARM Raman Lidar Development

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

    Raman lidar was delivered in the fall of 1995. The automated nature of the Raman lidar Raman scattering boxr1 provided multiple-day views of water vapor mixing ratio and...

  8. Finnish Meteorological Institute Doppler Lidar

    SciTech Connect (OSTI)

    Ewan OConnor

    2015-03-27

    This doppler lidar system provides co-polar and cross polar attenuated backscatter coefficients,signal strength, and doppler velocities in the cloud and in the boundary level, including uncertainties for all parameters. Using the doppler beam swinging DBS technique, and Vertical Azimuthal Display (VAD) this system also provides vertical profiles of horizontal winds.

  9. Overview

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

    * Balloon-Borne Sounding System, radiosondes launched each day at regular intervals * Doppler Lidar, Micropulse Lidar, and Laser Ceilometer for aerosols and clouds * Microwave...

  10. ARM - Campaign Instrument - co2lidar

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

    lidar Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Carbon Dioxide Doppler Lidar (CO2LIDAR) Instrument Categories Cloud Properties Campaigns Remote Cloud Sensing (RCS) Field Evaluation [ Download Data ] Southern Great Plains, 1994.04.01 - 1994.05.31 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the datastream (netcdf) file headers for the list of all available

  11. Sandia Energy - ARM Raman Lidar Applications

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

    in the analysis deriving water vapor flux observations using coincident Raman and Doppler lidar measurements and characterizing entrainment in cumulus clouds using Raman...

  12. Application of coherent 10 micron imaging lidar

    SciTech Connect (OSTI)

    Simpson, M.L.; Hutchinson, D.P.; Richards, R.K.; Bennett, C.A.

    1997-04-01

    With the continuing progress in mid-IR array detector technology and high bandwidth fan-outs, i.f. electronics, high speed digitizers, and processing capability, true coherent imaging lidar is becoming a reality. In this paper experimental results are described using a 10 micron coherent imaging lidar.

  13. Application of lidar to current atmospheric topics

    SciTech Connect (OSTI)

    Sedlacek, A.J. III

    1996-12-31

    The goal of the conference was to address the various applications of lidar to topics of interest in the atmospheric community. Specifically, with the development of frequency-agile, all solid state laser systems, high-quantum-efficiency detectors, increased computational power along with new and more powerful algorithms, and novel detection schemes, the application of lidar to both old and new problems has expanded. This expansion is evidenced by the contributions to the proceedings, which demonstrate the progress made on a variety of atmospheric remote sensing problems, both theoretically and experimentally. The first session focused on aerosol, ozone, and temperature profile measurements from ground-based units. The second session, Chemical Detection, provided applications of lidar to the detection of atmospheric pollutants. Papers in the third session, Wind and Turbulence Measurements, described the Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) experiments, Doppler techniques for ground-based wind profiling and mesopause radial wind and temperature measurements utilizing a frequency-agile lidar system. The papers in the last two sessions, Recent Advanced in Lidar Technology and Techniques and Advanced Operational Lidars, provided insights into novel approaches, materials, and techniques that would be of value to the lidar community. Papers have been processed separately for inclusion on the data base.

  14. ARM Aerosol Working Group Meeting

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

    series of retrieved dust properties, based on results from the AMF deployment in Niger, Africa. Lidar data survey Lidar profiles: fully-corrected MPL attenuated backscatter...

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

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

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

  16. Lidar for remote sensing; Proceedings of the Meeting, Berlin, Germany, June 24-26, 1992

    SciTech Connect (OSTI)

    Becherer, R.J.; Werner, C.

    1992-01-01

    The present volume on lidar for remote sensing discusses lidar system techniques for remote sensing of atmospheric pollution, airborne and surface-based lidar for environmental sensing of water and oceans, Doppler lidar for wind sensing and related measurement, aerosol measurements using lidar, ozone, water vapor, temperature, and density sensing with lidar systems, and new lidar technology systems and concepts. Attention is given to remote sensing of air pollution over large European cities by lidar, differential absorption lidar monitoring of atmospheric atomic mercury, an experimental evaluation of an airborne depth-sounding lidar, and remote sensing of the sea by tunable multichannel lidar. Topics addressed include recent developments in lidar techniques to measure the wind in the middle atmosphere, recent stratospheric aerosol measurements with a combined Raman elastic-backscatter lidar, the development of an eye-safe IR aerosol lidar, and temperature measurement by rotational Raman lidar.

  17. Raman lidar/AERI PBL Height Product

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

    Ferrare, Richard

    2012-12-14

    Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level.

  18. Raman lidar/AERI PBL Height Product

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

    Ferrare, Richard

    Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level.

  19. ARM - Campaign Instrument - lidar-dial

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

    govInstrumentslidar-dial Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Dial Lidar (LIDAR-DIAL) Instrument Categories Aerosols, Atmospheric Profiling Campaigns ARM-FIRE Water Vapor Experiment [ Download Data ] Southern Great Plains, 2000.11.01 - 2000.12.31 Water Vapor IOP [ Download Data ] Southern Great Plains, 2000.09.18 - 2000.10.08 Primary Measurements Taken The following measurements are those considered scientifically

  20. ARM - Facility News Article

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

    May 15, 2006 [Facility News] New Micropulse Lidars to Replace Old Ones; Deployments Begin at SGP Bookmark and Share A representative from Sigma Space Corporation demonstrates the operation of the new micropulse lidar to ARM instrument mentors and site operations technicians. On May 3, the first of seven new and upgraded micropulse lidars (MPLs) was deployed at the ARM Southern Great Plains (SGP) site's Central Facility. These seven identical systems (including one spare) will replace the

  1. ARM - Publications: Science Team Meeting Documents

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

    Science and Engineering Services, Inc. of Burtonsville, Maryland, has studied the feasibility of constructing a Micropulse Raman Lidar for measuring boundary layer water vapor...

  2. ARM - VAP Product - mplnor1camp

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

    Normalized Backscatter Profiles from the Micropulse Lidar : MPLNOR Measurements The measurements below provided by this product are those considered scientifically relevant....

  3. marchand-99.PDF

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

    data from the Belfort ceilometer and micropulse lidar to determine cloud occurrence and location. This time series can be analyzed to get monthly and seasonal values of cloud...

  4. ARM - PI Product - Finnish Meteorological Institute Doppler Lidar

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

    ProductsFinnish Meteorological Institute Doppler Lidar Citation DOI: 10.5439/1177194 [ What is this? ] ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Finnish Meteorological Institute Doppler Lidar [ research data - External funding ] This doppler lidar system provides co-polar and cross polar attenuated backscatter coefficients,signal strength, and doppler velocities in the cloud and in the boundary

  5. Accessing the Energy Department's Lidar Buoy Data off Virginia Beach |

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

    Department of Energy Accessing the Energy Department's Lidar Buoy Data off Virginia Beach Accessing the Energy Department's Lidar Buoy Data off Virginia Beach In December 2014, Pacific Northwest National Laboratory (PNNL) deployed the Energy Department's floating lidar buoy off of Virginia Beach, Virginia, in less than 30 meters (m) of water, approximately 28 nautical miles offshore (approximate coordinates: 36° 52.00' N, 75° 29.53' W). This buoy is collecting meteorological and

  6. LiDAR (Lewicki & Oldenburg, 2005) | Open Energy Information

    Open Energy Info (EERE)

    Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown References Jennifer L. Lewicki, Curtis M. Oldenburg (2005) Strategies To Detect Hidden Geothermal Systems...

  7. LiDAR (Lewicki & Oldenburg, 2004) | Open Energy Information

    Open Energy Info (EERE)

    Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown References Jennifer L. Lewicki, Curtis M. Oldenburg (2004) Strategies For Detecting Hidden Geothermal Systems...

  8. Lidar techniques for chemical and aerosol air pollution studies

    SciTech Connect (OSTI)

    Hardesty, R.M.

    1993-12-31

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

  9. ARM - PI Product - Raman lidar/AERI PBL Height Product

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

    ProductsRaman lidar/AERI PBL Height Product ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Raman lidar/AERI PBL Height Product Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential

  10. Advanced Lidars for ARM: What Would We Get?

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

    of downtime due to laser issues - Data (raw and processed) available from lidar.ssec.wisc.edu - Products are cloud optical depth, extinction, backscatter, and depolarization...

  11. ARM - Field Campaign - Lidar support for ICECAPS at Summit, Greenland

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

    govCampaignsLidar support for ICECAPS at Summit, Greenland Campaign Links ICECAPS Campaign Summary (PDF) Summit Station Research Highlight New Data from Greenland for Arctic...

  12. A Lidar View of Clouds in Southeastern China

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

    Lidar View of Clouds in Southeastern China For original submission and image(s), see ARM Research Highlights http:www.arm.govsciencehighlights Research Highlight From May 2008...

  13. Three-dimensional elastic lidar winds

    SciTech Connect (OSTI)

    Buttler, W.T.

    1996-07-01

    Maximum cross-correlation techniques have been used with satellite data to estimate winds and sea surface velocities for several years. Los Alamos National Laboratory (LANL) is currently using a variation of the basic maximum cross-correlation technique, coupled with a deterministic application of a vector median filter, to measure transverse winds as a function of range and altitude from incoherent elastic backscatter lidar data taken throughout large volumes within the atmospheric boundary layer. Hourly representations of three- dimensional wind fields, derived from elastic lidar data taken during an air-quality study performed in a region of complex terrain near Sunland Park, New Mexico, are presented and compared with results from an Environmental Protection Agency (EPA) approved laser doppler velocimeter. The wind fields showed persistent large scale eddies as well as general terrain following winds in the Rio Grande valley.

  14. Doppler Lidar Wind Value-Added Product

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

    8 Doppler Lidar Wind Value-Added Product RK Newsom C Sivaraman TR Shippert LD Riihimaki July 2015 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

  15. Lidar techniques for search and rescue

    SciTech Connect (OSTI)

    Cabral, W.L.

    1985-01-01

    Four techniques for using LIDAR in Search and Rescue Operations will be discussed. The topic will include laser retroreflection, laser-induced fluorescence in the visible, laser-induced fluorescence during daylight hours, and laser-induced fluorescence in the uv. These techniques use high-repetition rate lasers at a variety of frequencies to induce either fluorescence in dye markers or retroreflection from plastic corner cubes on life preservers and other emergency markers.

  16. Adaptive Data Processing Technique for Lidar-Assisted Control to Bridge the Gap between Lidar Systems and Wind Turbines: Preprint

    SciTech Connect (OSTI)

    Schlipf, David; Raach, Steffen; Haizmann, Florian; Cheng, Po Wen; Fleming, Paul; Scholbrock, Andrew, Krishnamurthy, Raghu; Boquet, Mathieu

    2015-12-14

    This paper presents first steps toward an adaptive lidar data processing technique crucial for lidar-assisted control in wind turbines. The prediction time and the quality of the wind preview from lidar measurements depend on several factors and are not constant. If the data processing is not continually adjusted, the benefit of lidar-assisted control cannot be fully exploited, or can even result in harmful control action. An online analysis of the lidar and turbine data are necessary to continually reassess the prediction time and lidar data quality. In this work, a structured process to develop an analysis tool for the prediction time and a new hardware setup for lidar-assisted control are presented. The tool consists of an online estimation of the rotor effective wind speed from lidar and turbine data and the implementation of an online cross correlation to determine the time shift between both signals. Further, initial results from an ongoing campaign in which this system was employed for providing lidar preview for feed-forward pitch control are presented.

  17. Application of coherent lidar to ion measurements in plasma diagnostics

    SciTech Connect (OSTI)

    Hutchinson, D.P.; Richards, R.K.; Bennett, C.A.; Simpson, M.L.

    1997-03-01

    A coherent lidar system has been constructed for the measurement of alpha particles in a burning plasma. The lidar system consists of a pulsed CO{sub 2} laser transmitter and a heterodyne receiver. The receiver local oscillator is a cw, sequence-band CO{sub 2} laser operating with a 63.23 GHz offset from the transmitter.

  18. Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

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

    Jaffe, Todd

    2012-01-01

    Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

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

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

    Chitra Sivaraman; Connor Flynn

    2004-10-01

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

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

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

    Chitra Sivaraman; Connor Flynn

    2004-10-01

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

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

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

    Chitra Sivaraman; Connor Flynn

    1998-03-01

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

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

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

    Chitra Sivaraman; Connor Flynn

    2004-10-01

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

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

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

    Chitra Sivaraman; Connor Flynn

    2004-10-01

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

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

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

    Newsom, Rob; Goldsmith, John

    1998-03-01

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

  5. Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

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

    Jaffe, Todd

    Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

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

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

    Chitra Sivaraman; Connor Flynn

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

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

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

    Chitra Sivaraman; Connor Flynn

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

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

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

    Chitra Sivaraman; Connor Flynn

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

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

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

    Sivaraman, Chitra; Flynn, Connor

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

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

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

    Chitra Sivaraman; Connor Flynn

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

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

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

    Chitra Sivaraman; Connor Flynn

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

  12. ARM - Data Announcements Article

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

    Lidar Value-Added Product Provides Cloud Measurements Bookmark and Share Sample plot generated by MPLCMASK. Click to enlarge. Sample plot generated by MPLCMASK. Click to enlarge. Lidar cloud boundaries are a useful tool for identifying cloud base height and cloud thickness in optically thin clouds. The Micropulse Lidar Cloud Mask (MPLCMASK) value-added product (VAP) provides cloud base height, cloud top height, and backscatter coefficient for non-polarized micropulse lidar measurements. In

  13. Slide 1

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

    China LIDAR Summary Connor Flynn, PNNL MPLs deployed for AMF campaign Summary of data dispostion MPL polarization technique, implications Visual survey with AMF China supported by...

  14. Atmospheric Data, Images, and Animations from Lidar Instruments used by the University of Wisconsin Lidar Group

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

    The Space Science and Engineering Center is a research and development center affiliated with the University of Wisconsin-Madison’s Graduate School. Its primary focus is on geophysical research and technology to enhance understanding of the atmosphere of Earth, the other planets in the Solar System, and the cosmos. SSEC develops new observing tools for spacecraft, aircraft, and ground-based platforms, and models atmospheric phenomena. The Center receives, manages and distributes huge amounts of geophysical data and develops software to visualize and manipulate these data for use by researchers and operational meteorologists all over the world.[Taken from About SSEC at http://www.ssec.wisc.edu/overview/] A huge collection of data products, images, and animations comes to the SSEC from the University of Wisconsin Lidar Group. Contents of this collection include: • An archive of thousands of Lidar images acquired before 2004 • Arctic HSRL, MMCR, PAERI, MWR, Radiosonde, and CRAS forecast data Data after May 1, 2004 • MPEG animations and Lidar Multiple Scattering Models

  15. Atmospheric Data, Images, and Animations from Lidar Instruments used by the University of Wisconsin Lidar Group

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

    The Space Science and Engineering Center is a research and development center affiliated with the University of Wisconsin-Madisons Graduate School. Its primary focus is on geophysical research and technology to enhance understanding of the atmosphere of Earth, the other planets in the Solar System, and the cosmos. SSEC develops new observing tools for spacecraft, aircraft, and ground-based platforms, and models atmospheric phenomena. The Center receives, manages and distributes huge amounts of geophysical data and develops software to visualize and manipulate these data for use by researchers and operational meteorologists all over the world.[Taken from About SSEC at http://www.ssec.wisc.edu/overview/] A huge collection of data products, images, and animations comes to the SSEC from the University of Wisconsin Lidar Group. Contents of this collection include: An archive of thousands of Lidar images acquired before 2004 Arctic HSRL, MMCR, PAERI, MWR, Radiosonde, and CRAS forecast data Data after May 1, 2004 MPEG animations and Lidar Multiple Scattering Models

  16. LiDAR (Lewicki & Oldenburg) | Open Energy Information

    Open Energy Info (EERE)

    Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown References Jennifer L. Lewicki, Curtis M. Oldenburg (Unknown) Near-Surface Co2 Monitoring And Analysis To...

  17. Cloud properties derived from the High Spectral Resolution Lidar...

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

    depth. These results will be compared to similar results observed during the first 8-months of our current deployment at Eureka, Canada (80N, 86.2W). http:lidar.ssec.wisc.edu...

  18. ARM - Field Campaign - NASA Coordinated Airborne CO2 Lidar Flight...

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

    govCampaignsNASA Coordinated Airborne CO2 Lidar Flight Test Campaign ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at...

  19. Evaluation of three lidar scanning strategies for turbulence measurements

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

    Newman, J. F.; Klein, P. M.; Wharton, S.; Sathe, A.; Bonin, T. A.; Chilson, P. B.; Muschinski, A.

    2015-11-24

    Several errors occur when a traditional Doppler-beam swinging (DBS) or velocityazimuth display (VAD) strategy is used to measure turbulence with a lidar. To mitigate some of these errors, a scanning strategy was recently developed which employs six beam positions to independently estimate the u, v, and w velocity variances and covariances. In order to assess the ability of these different scanning techniques to measure turbulence, a Halo scanning lidar, WindCube v2 pulsed lidar and ZephIR continuous wave lidar were deployed at field sites in Oklahoma and Colorado with collocated sonic anemometers. Results indicate that the six-beam strategy mitigates somemoreof the errors caused by VAD and DBS scans, but the strategy is strongly affected by errors in the variance measured at the different beam positions. The ZephIR and WindCube lidars overestimated horizontal variance values by over 60 % under unstable conditions as a result of variance contamination, where additional variance components contaminate the true value of the variance. A correction method was developed for the WindCube lidar that uses variance calculated from the vertical beam position to reduce variance contamination in the u and v variance components. The correction method reduced WindCube variance estimates by over 20 % at both the Oklahoma and Colorado sites under unstable conditions, when variance contamination is largest. This correction method can be easily applied to other lidars that contain a vertical beam position and is a promising method for accurately estimating turbulence with commercially available lidars.less

  20. Elastic Scattering LIDAR Data Acquisition Visualization and Analysis

    Energy Science and Technology Software Center (OSTI)

    1999-10-12

    ELASTIC/EVIEW is a software system that controls an elastic scattering atmospheric Light Detection and Ranging (LIDAR) instrument. It can acquire elastic scattering LIDAR data using this system and produce images of one, two, and three-dimensional atmospheric data on particulates and other atmospheric pollutants. The user interface is a modern menu driven syatem with appropriate support for user configuration and printing files.

  1. LIDAR Wind Speed Measurements of Evolving Wind Fields

    SciTech Connect (OSTI)

    Simley, E.; Pao, L. Y.

    2012-07-01

    Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylor's frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations to create a more realistic measurement model. A simple model of wind evolution is applied to a frozen wind field used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements are also evaluated with a large eddy simulation of a stable boundary layer provided by the National Center for Atmospheric Research. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios.

  2. LiDAR At Chocolate Mountains Area (Alm, Et Al., 2010) | Open...

    Open Energy Info (EERE)

    aerial Li-DAR survey flown over the project areas, securing over 177,000 square kilometers of <30cm accuracy digital elevation data. LiDAR data were analyzed to characterize...

  3. Meenakshi Power Ltd MPL | Open Energy Information

    Open Energy Info (EERE)

    500 082 Sector: Biomass, Hydro Product: Hyderabad-based firm involved in development of small hydro and biomass projects. Coordinates: 17.6726, 77.5971 Show Map Loading...

  4. Comparison of Two Independent LIDAR-Based Pitch Control Designs

    SciTech Connect (OSTI)

    Dunne, F.; Schlipf, D.; Pao, L. Y.

    2012-08-01

    Two different lidar-based feedforward controllers have previously been designed for the NREL 5 MW wind turbine model under separate studies. Feedforward controller A uses a finite-impulse-response design, with 5 seconds of preview, and three rotating lidar measurements. Feedforward controller B uses a static-gain design, with the preview time defined by the pitch actuator dynamics, a simulation of a real nacelle-based scanning lidar system, and a lowpass filter defined by the lidar configuration. These controllers are now directly compared under the same lidar configuration, in terms of fatigue load reduction, rotor speed regulation, and power capture. The various differences in design choices are discussed and compared. We also compare frequency plots of individual pitch feedforward and collective pitch feedforward load reductions, and we see that individual pitch feedforward is effective mainly at the once-per-revolution and twice-per-revolution frequencies. We also explain how to determine the required preview time by breaking it down into separate parts, and we then compare it to the expected preview time available.

  5. A Doppler lidar for measuring winds in the middle atmosphere

    SciTech Connect (OSTI)

    Chanin, M.L.; Garnier, A.; Hauchecorne, A.; Porteneuve, J. )

    1989-11-01

    The possibility of measuring winds in the middle atmosphere with a Doppler lidar has just been demonstrated. It is aimed at studying the wave-mean flow interaction, when used is association with the Rayleigh lidar providing density and temperature profiles and their fluctuations. The new Doppler lidar relies on the Rayleigh scattering from air molecules is designed to cover the height range 25-60 km, a region where radars cannot operate. The Doppler shift to the backscattered echo is measured by inter-comparing the signal detected through each of the two high-resolution, narrow band-pass Fabry-Perot interferometers tuned on either side of the emitted laser line.

  6. Coplanar Doppler Lidar Retrieval of Rotors from T-REX

    SciTech Connect (OSTI)

    Hill, Michael; Calhoun, Ron; Fernando, H. J. S.; Wieser, Andreas; Dornbrack, Andreas; Weissmann, Martin; Mayr, G.; Newsom, Rob K.

    2010-03-01

    Two coherent Doppler lidars were deployed during the Terrain-induced Rotor EXperiment (T-REX). Coplanar Range Height Indicator (RHI) scans by the lidars (along the same azimuthal angle) allowed retrieval of two-dimensional velocity vectors on a vertical/cross-barrier plane using the least squares method. Vortices are shown to evolve and advect in the flow field, allowing analysis of their behavior in the mountain-wave-boundary layer system. The locations, magnitudes, and evolution of the vortices can be studied through calculated fields of velocity, vorticity, streamlines, and swirl. Two classes of vortical motions are identified: rotors and sub-rotors, which differ in scale and behavior. The level of coordination of the two lidars and the nature of the output (i.e., in range-gates) creates inherent restrictions on the spatial and temporal resolution of retrieved fields.

  7. Doppler lidar for measurement of atmospheric wind fields

    SciTech Connect (OSTI)

    Menzies, R.T. )

    1991-01-01

    Measurements of wind fields in the earth's troposphere with daily global coverage is widely considered as a significant advance for forecasting and transport studies. For optimal use by NWP (Numerical Weather Prediction) models the horizontal and vertical resolutions should be approximately 100 km and 1 km, respectively. For boundary layer studies vertical resolution of a few hundred meters seems essential. Earth-orbiting Doppler lidar has a unique capability to measure global winds in the troposphere with the high vertical resolution required. The lidar approach depends on transmission of pulses with high spectral purity and backscattering from the atmospheric aerosol particles or layered clouds to provide a return signal. Recent field measurement campaigns using NASA research aircraft have resulted in collection of aerosol and cloud data which can be used to optimize the Doppler lidar instrument design and measurement strategy. 5 refs.

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

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

    Sivaraman, Chitra; Flynn, Connor

    2010-12-15

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

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

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

    Sivaraman, Chitra; Flynn, Connor

    2010-12-15

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

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

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

    Sivaraman, Chitra; Flynn, Connor

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

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

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

    Sivaraman, Chitra; Flynn, Connor

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

  12. ARM - Field Campaign - M-PACE HSR Lidar

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

    HSR Lidar Campaign Links Full Proposal Abstract M-PACE Website ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : M-PACE HSR Lidar 2004.09.27 - 2004.10.21 Lead Scientist : Edwin Eloranta For data sets, see below. Abstract The HSRL provided calibrated vertical profiles of optical depth, backscatter cross section and depoloarization at a wavelength of 532 nm. Profiles were acquired at 2.5 second intervals with

  13. Imaging doppler lidar for wind turbine wake profiling

    DOE Patents [OSTI]

    Bossert, David J.

    2015-11-19

    An imaging Doppler lidar (IDL) enables the measurement of the velocity distribution of a large volume, in parallel, and at high spatial resolution in the wake of a wind turbine. Because the IDL is non-scanning, it can be orders of magnitude faster than conventional coherent lidar approaches. Scattering can be obtained from naturally occurring aerosol particles. Furthermore, the wind velocity can be measured directly from Doppler shifts of the laser light, so the measurement can be accomplished at large standoff and at wide fields-of-view.

  14. Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control: Preprint

    SciTech Connect (OSTI)

    Davoust, S.; Jehu, A.; Bouillet, M.; Bardon, M.; Vercherin, B.; Scholbrock, A.; Fleming, P.; Wright, A.

    2014-05-01

    Turbine-mounted lidars provide preview measurements of the incoming wind field. By reducing loads on critical components and increasing the potential power extracted from the wind, the performance of wind turbine controllers can be improved [2]. As a result, integrating a light detection and ranging (lidar) system has the potential to lower the cost of wind energy. This paper presents an evaluation of turbine-mounted lidar availability. Availability is a metric which measures the proportion of time the lidar is producing controller-usable data, and is essential when a wind turbine controller relies on a lidar. To accomplish this, researchers from Avent Lidar Technology and the National Renewable Energy Laboratory first assessed and modeled the effect of extreme atmospheric events. This shows how a multirange lidar delivers measurements for a wide variety of conditions. Second, by using a theoretical approach and conducting an analysis of field feedback, we investigated the effects of the lidar setup on the wind turbine. This helps determine the optimal lidar mounting position at the back of the nacelle, and establishes a relationship between availability, turbine rpm, and lidar sampling time. Lastly, we considered the role of the wind field reconstruction strategies and the turbine controller on the definition and performance of a lidar's measurement availability.

  15. Aerosol backscatter measurements at 10. 6 micrometers with airborne and ground-based CO sub 2 Doppler lidars over the Colorado high plains. 1. Lidar intercomparison

    SciTech Connect (OSTI)

    Bowdle, D.A. ); Rothermel, J. ); Vaughan, J.M.; Brown, D.W. ); Post, M.J. )

    1991-03-20

    An airborne continuous wave (CW) focused CO{sub 2} Doppler lidar and a ground-based pulsed CO{sub 2} Doppler lidar were used to obtain seven pairs of comparative measurements of tropospheric aerosol backscatter profiles at 10.6 {mu}m wavelength, near Denver, Colorado, during a 20-day period in July 1982. In regions of uniform backscatter the two lidars show good agreement, with differences usually less than {approximately}50% near 8-km altitude and less than a factor of 2 or 3 elsewhere but with the pulsed lidar often lower than the CW lidar. Near sharp backscatter gradients the two lidars show poorer agreement, with the pulsed lidar usually higher than the CW lidar. Most discrepancies arise from a combination of atmospheric factors and instrument factors, particularly small-scale areal and temporal backscatter heterogeneity above the planetary boundary layer, unusual large-scale vertical backscatter structure in the upper troposphere and lower stratosphere, and differences in the spatial resolution, detection threshold, and noise estimation for the two lidars.

  16. NASA Lidar system support and MOPA technology demonstration. Final report

    SciTech Connect (OSTI)

    Laughman, L.M.; Capuano, B.; Wayne, R.J.

    1986-08-01

    A series of lidar design and technology demonstration tasks in support of a CO/sub 2/ lidar program is discussed. The first of these tasks is discussed in Section VI of this report under the heading of NASA Optical Lidar Design and it consists of detailed recommendations for the layout of a CO/sub 2/ Doppler lidar incorporating then existing NASA optical components and mounts. The second phase of this work consisted of the design, development, and delivery to NASA of a novel acousto-optic laser frequency stabilization system for use with the existing NASA ring laser transmitter. The second major task in this program encompasses the design and experimental demonstration of a master oscillator-power amplifier (MOPA) laser transmitter utilizing a commercially available laser as the amplifier. The MOPA design including the low chirp master oscillator is discussed in detail. Experimental results are given for one, two and three pass amplification. The report includes operating procedures for the MOPA system.

  17. Raman Lidar Profiles–Temperature (RLPROFTEMP) Value-Added Product

    SciTech Connect (OSTI)

    Newsom, RK; Sivaraman, C; McFarlane, SA

    2012-10-31

    The purpose of this document is to describe the Raman Lidar Profiles–Temperature (RLPROFTEMP) value-added product (VAP) and the procedures used to derive atmospheric temperature profiles from the raw RL measurements. Sections 2 and 4 describe the input and output variables, respectively. Section 3 discusses the theory behind the measurement and the details of the algorithm, including calibration and overlap correction.

  18. LIDAR Thomson scattering for advanced tokamaks. Final report

    SciTech Connect (OSTI)

    Molvik, A.W.; Lerche, R.A.; Nilson, D.G.

    1996-03-18

    The LIDAR Thomson Scattering for Advanced Tokamaks project made a valuable contribution by combining LLNL expertise from the MFE Program: tokamak design and diagnostics, and the ICF Program and Physics Dept.: short-pulse lasers and fast streak cameras. This multidisciplinary group evaluated issues involved in achieving a factor of 20 higher high spatial resolution (to as small as 2-3 mm) from the present state of the art in LIDAR Thomson scattering, and developed conceptual designs to apply LIDAR Thomson scattering to three tokamaks: Upgraded divertor measurements in the existing DIII-D tokamak; Both core and divertor LIDAR Thomson scattering in the proposed (now cancelled) TPX; and core, edge, and divertor LIDAR Thomson scattering on the presently planned International Tokamak Experimental Reactor, ITER. Other issues were evaluated in addition to the time response required for a few millimeter spatial resolution. These include the optimum wavelength, 100 Hz operation of the laser and detectors, minimizing stray light - always the Achilles heel of Thomson scattering, and time dispersion in optics that could prevent good spatial resolution. Innovative features of our work included: custom short pulsed laser concepts to meet specific requirements, use of a prism spectrometer to maintain a constant optical path length for high temporal and spatial resolution, the concept of a laser focus outside the plasma to ionize gas and form an external fiducial to use in locating the plasma edge as well as to spread the laser energy over a large enough area of the inner wall to avoid laser ablation of wall material, an improved concept for cleaning windows between shots by means of laser ablation, and the identification of a new physics issue - nonlinear effects near a laser focus which could perturb the plasma density and temperature that are to be measured.

  19. Proposed ground-based incoherent Doppler lidar with iodine filter discriminator for atmospheric wind profiling

    SciTech Connect (OSTI)

    Liu, Z.S.; Chen, W.B.; Hair, J.W.; She, C.Y.

    1996-12-31

    A new incoherent lidar for measuring atmospheric wind using iodine molecular filter is proposed. A unique feature of the proposed lidar lies in its capability for simultaneous measurement of aerosol mixing ratio, with which the radial wind can be determined uniquely from lidar return. A preliminary laboratory experiment using a dye laser at 589 nm and a rotating wheel has been performed demonstrating the feasibility of the proposed wind measurement.

  20. Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control (Poster)

    SciTech Connect (OSTI)

    Scholbrock, F. A.; Fleming, P.; Wright, A.; Davoust, S.; Jehu, A.; Bouillet, M.; Bardon M.; Vercherin, B.

    2014-02-01

    Integrating Lidar to improve wind turbine controls is a potential breakthrough for reducing the cost of wind energy. By providing undisturbed wind measurements up to 400m in front of the rotor, Lidar may provide an accurate update of the turbine inflow with a preview time of several seconds. Focusing on loads, several studies have evaluated potential reductions using integrated Lidar, either by simulation or full scale field testing.

  1. LiDAR At Twenty-Nine Palms Area (Sabin, Et Al., 2010) | Open...

    Open Energy Info (EERE)

    Sabin, Et Al., 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Twenty-Nine Palms Area (Sabin, Et Al., 2010) Exploration Activity...

  2. Seasonal and optical characterisation of cirrus clouds over Indian sub-continent using LIDAR

    SciTech Connect (OSTI)

    Jayeshlal, G. S. Satyanarayana, Malladi Dhaman, Reji K. Motty, G. S.

    2014-10-15

    Light Detection and Ranging (LIDAR) is an important remote sensing technique to study about the cirrus clouds. The subject of cirrus clouds and related climate is challenging one. The received scattered signal from Lidar contains information on the physical and optical properties of cirrus clouds. The Lidar profile of the cirrus cloud provides information on the optical characteristics like depolarisation ratio, lidar ratio and optical depth, which give knowledge about possible phase, structure and orientation of cloud particle that affect the radiative budgeting of cirrus clouds. The findings from the study are subjected to generate inputs for better climatic modelling.

  3. LiDAR At Glass Buttes Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Glass Buttes Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Glass Buttes Area (DOE GTP) Exploration Activity Details...

  4. LiDAR At Gabbs Valley Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gabbs Valley Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Gabbs Valley Area (DOE GTP) Exploration Activity Details...

  5. Two-frequency lidar technique for mesospheric Na temperature measurements

    SciTech Connect (OSTI)

    She, C.Y.; Latifi, H.; Yu, J.R.; Alvarez, R.J. II ); Bills, R.E.; Gardner, C.S. )

    1990-06-01

    The authors describe a new two-frequency lidar for measuring Na temperature profiles that uses a stabilized cw single-mode dye laser oscillator (rms frequency jitter < 1 MHz) followed by a pulsed-dye power amplifier (140 MHz FWHM linewidth) which is pumped by an injection-locked Nd:YAG laser. The laser oscillator is tuned to the two operating frequencies by observing the Doppler-free structure of the Na D{sub 2} fluorescence spectrum in a vapor cells. The lidar technique and the initial observations of the temperature profile between 82 and 102 km at Ft. Collins, CO (40.6{degree}N,105{degree}W) are described. Absolute temperature accuracies at the Na layer peak of better than {plus minus}3 K with a vertical resolution of 1 km and an integration period of approximately 5 min were achieved.

  6. Doppler Lidar Vertical Velocity Statistics Value-Added Product

    SciTech Connect (OSTI)

    Newsom, RK; Sivaraman, C; Shippert, TR; Riihimaki, LD

    2015-07-01

    fluctuations are crucial for improved understanding of turbulent mixing and diffusion, convective initiation, and cloud life cycles. The Atmospheric Radiation Measurement (ARM) Climate Research Facility operates coherent Doppler lidar systems at several sites around the globe. These instruments provide measurements of clear-air vertical velocity profiles in the lower troposphere with a nominal temporal resolution of 1 sec and height resolution of 30 m. The purpose of the Doppler lidar vertical velocity statistics (DLWSTATS) value-added product (VAP) is to produce height- and time-resolved estimates of vertical velocity variance, skewness, and kurtosis from these raw measurements. The VAP also produces estimates of cloud properties, including cloud-base height (CBH), cloud frequency, cloud-base vertical velocity, and cloud-base updraft fraction.

  7. Lidar Inter-Comparison Exercise Final Campaign Report A Protat

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

    Lidar Inter-Comparison Exercise Final Campaign Report A Protat S Young February 2015 DOE/SC-ARM-15-008 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

  8. Doppler Lidar Vertical Velocity Statistics Value-Added Product

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

    49 Doppler Lidar Vertical Velocity Statistics Value-Added Product RK Newsom C Sivaraman TR Shippert LD Riihimaki July 2015 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

  9. First detection of a noctilucent cloud by lidar

    SciTech Connect (OSTI)

    Hansen, G.; Serwazi, M.; von Zahn, U. )

    1989-12-01

    During the night of August 5/6, 1989 for the first time a noctilucent cloud (NLC) was detected and measured by a lidar instrument. The observations were made with ground-based narrow-band Na lidar located at Andenes, Norway (69{degree}N, 16{degree}E geographic coordinates). In wavelength the lidar was operated both at the Na D{sub 2} resonance line of 589 nm as well as 5 Doppler widths shifted away. The altitude resolution was 200 m. The NLC developed at about 22:20 UT, reached its maximum backscatter cross section at 23:05 UT and became unobservable at around 00:10 UT. During this period the NLC exhibited the following properties: (a) its altitude ranged between 83.4 and 82.2 km; (b) its full width at half maximum ranged between 1.4 and 0.3 km; (c) the ratio of measured backscatter intensity from the NLC to the calculated Rayleigh signal from 82.6 km reached 450; (d) its volume backscatter cross section maximized at 6.5 {times} 10{sup {minus}9} m{sup {minus}1} sr{sup {minus}1}.

  10. Lidar arc scan uncertainty reduction through scanning geometry optimization

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

    Wang, H.; Barthelmie, R. J.; Pryor, S. C.; Brown, G.

    2015-10-07

    Doppler lidars are frequently operated in a mode referred to as arc scans, wherein the lidar beam scans across a sector with a fixed elevation angle and the resulting measurements are used to derive an estimate of the n minute horizontal mean wind velocity (speed and direction). Previous studies have shown that the uncertainty in the measured wind speed originates from turbulent wind fluctuations and depends on the scan geometry (the arc span and the arc orientation). This paper is designed to provide guidance on optimal scan geometries for two key applications in the wind energy industry: wind turbine powermoreperformance analysis and annual energy production. We present a quantitative analysis of the retrieved wind speed uncertainty derived using a theoretical model with the assumption of isotropic and frozen turbulence, and observations from three sites that are onshore with flat terrain, onshore with complex terrain and offshore, respectively. The results from both the theoretical model and observations show that the uncertainty is scaled with the turbulence intensity such that the relative standard error on the 10 min mean wind speed is about 30 % of the turbulence intensity. The uncertainty in both retrieved wind speeds and derived wind energy production estimates can be reduced by aligning lidar beams with the dominant wind direction, increasing the arc span and lowering the number of beams per arc scan. Large arc spans should be used at sites with high turbulence intensity and/or large wind direction variation when arc scans are used for wind resource assessment.less

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

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

    Chitra Sivaraman; Connor Flynn

    1998-03-01

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

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

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

    Chitra Sivaraman; Connor Flynn

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

  13. Research Highlight

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

    Cloud optical depth retrievals from solar background "signal" of micropulse lidars. IEEE Geosci. Remote Sens. Lett., 4(3), 456-460, doi:10.1109LGRS.2007.896722. The upper...

  14. Turbine Reliability and Operability Optimization through the use of Direct Detection Lidar Final Technical Report

    SciTech Connect (OSTI)

    Johnson, David K; Lewis, Matthew J; Pavlich, Jane C; Wright, Alan D; Johnson, Kathryn E; Pace, Andrew M

    2013-02-01

    The goal of this Department of Energy (DOE) project is to increase wind turbine efficiency and reliability with the use of a Light Detection and Ranging (LIDAR) system. The LIDAR provides wind speed and direction data that can be used to help mitigate the fatigue stress on the turbine blades and internal components caused by wind gusts, sub-optimal pointing and reactionary speed or RPM changes. This effort will have a significant impact on the operation and maintenance costs of turbines across the industry. During the course of the project, Michigan Aerospace Corporation (MAC) modified and tested a prototype direct detection wind LIDAR instrument; the resulting LIDAR design considered all aspects of wind turbine LIDAR operation from mounting, assembly, and environmental operating conditions to laser safety. Additionally, in co-operation with our partners, the National Renewable Energy Lab and the Colorado School of Mines, progress was made in LIDAR performance modeling as well as LIDAR feed forward control system modeling and simulation. The results of this investigation showed that using LIDAR measurements to change between baseline and extreme event controllers in a switching architecture can reduce damage equivalent loads on blades and tower, and produce higher mean power output due to fewer overspeed events. This DOE project has led to continued venture capital investment and engagement with leading turbine OEMs, wind farm developers, and wind farm owner/operators.

  15. Research Highlight

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

    Micropulse Lidar-Derived Aerosol Optical Depth Climatology at ARM Sites Worldwide Download a printable PDF Submitter: Kafle, D. N., NASA GSFC /ADNET Systems 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.

  16. Using CO2 Lidar for Standoff Detection of a Perfluorocarbon Tracer in Air

    SciTech Connect (OSTI)

    Heiser,J.H.; Smith, S.; Sedlacek, A.

    2008-02-06

    The Tag, Track and Location System Program (TTL) is investigating the use of PFTs as tracers for tagging and tracking items of interest or fallen soldiers. In order for the tagging and tracking to be valuable there must be a location system that can detect the PFTs. This report details the development of an infrared lidar platform for standoff detection of PFTs released into the air from a tagged object or person. Furthering work performed using a table top lidar system in an indoor environment; a mobile mini lidar platform was assembled using an existing Raman lidar platform, a grating tunable CO{sub 2} IR laser, Judson HgCdTe detector and miscellaneous folding optics and electronics. The lidar achieved {approx}200 ppb-m sensitivity in laboratory and indoor testing and was then successfully demonstrated at an outdoor test. The lidar system was able to detect PFTs released into a vehicle from a distance of 100 meters. In its final, fully optimized configuration the lidar was capable of repeatedly detecting PFTs in the air released from tagged vehicles. Responses were immediate and clear. This report details the results of a proof-of-concept demonstration for standoff detection of a perfluorocarbon tracer (PFT) using infrared lidar. The project is part of the Tag, Track and Location System Program and was performed under a contract with Tracer Detection Technology Corp. with funding from the Office of Naval Research. A lidar capable of detecting PFT releases at distance was assembled by modifying an existing Raman lidar platform by incorporating a grating tunable CO{sub 2} IR laser, Judson HgCdTe detector and miscellaneous folding optics and electronics. The lidar achieved {approx}200 ppb-m sensitivity in laboratory and indoor testing and was successfully demonstrated at an outdoor test. The demonstration test (scripted by the sponsor) consisted of three parked cars, two of which were tagged with the PFT. The cars were located 70 (closest) to 100 meters (farthest) from the lidar (the lidar beam path was limited by site constraints and was {approx}100 meters). When one door of each of the cars was opened (sequentially), the lidar was clearly able to determine which vehicles had been tagged and which one was not. The lidar is probably capable of greater than 0.5 kilometer standoff distances based on the extreme amount of signal return achieved (so much that the system had to be de-tuned). The BNL lidar system, while optimized to the extent possible with available parts and budget, was not as sensitive as it could be. Steps to improve the lidar are detailed in this report and include using a better laser system (for more stable power output), dual wavelengths (to improve the sensitivity and allow common mode noise reduction and to allow the use of the lidar in a scanning configuration), heterodyning (for range resolved PFT detection) and an off-axis optical configuration (for improved near field sensitivity).

  17. Wind Measurements from Arc Scans with Doppler Wind Lidar

    SciTech Connect (OSTI)

    Wang, H.; Barthelmie, R. J.; Clifton, Andy; Pryor, S. C.

    2015-11-25

    When defining optimal scanning geometries for scanning lidars for wind energy applications, we found that it is still an active field of research. Our paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of its high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. Moreover, the radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.

  18. Wind Measurements from Arc Scans with Doppler Wind Lidar

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

    Wang, H.; Barthelmie, R. J.; Clifton, Andy; Pryor, S. C.

    2015-11-25

    When defining optimal scanning geometries for scanning lidars for wind energy applications, we found that it is still an active field of research. Our paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of itsmore » high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. Moreover, the radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.« less

  19. NOAA lidar observations during the TMDBCE lethality test at WSMR on 5 February 1993. Technical memo

    SciTech Connect (OSTI)

    Post, M.J.; Olivier, L.D.

    1996-03-01

    The National Oceanic and Atomospheric Administration`s (NOAA) pulsed CO2 Doppler lidar successfully tracked a cloud of liquid triethyl phosphate (TEP) released from an incoming Storm missile. By concentrating on the lowest portion of the cloud, information about the descent of the TEP cloud was obtained. TEP cloud bottom height and a ground track showing the motion of the cloud relative to the lidar were plotted. In addition, lidar measurements were used to guide an instrumented air craft into the cloud. Improvements for future tests were defined.

  20. Ultraviolet high-spectral-resolution Doppler lidar for measuring wind field and aerosol optical properties

    SciTech Connect (OSTI)

    Imaki, Masaharu; Kobayashi, Takao

    2005-10-01

    An ultraviolet incoherent Doppler lidar that incorporates the high-spectral-resolution (HSR) technique has been developed for measuring the wind field and aerosol optical properties in the troposphere. An injection seeded and tripled Nd:YAG laser at an ultraviolet wavelength of 355 nm was used in the lidar system. The HRS technique can resolve the aerosol Mie backscatter and the molecular Rayleigh backscatter to derive the signal components. By detecting the Mie backscatter, a great increase in the Doppler filter sensitivity was realized compared to the conventional incoherent Doppler lidars that detected the Rayleigh backscatter. The wind velocity distribution in a two-dimensional cross section was measured. By using the HSR technique, multifunction and absolute value measurements were realized for aerosol extinction, and volume backscatter coefficients; the laser beam transmittance, the lidar ratio, and the backscatter ratio are derived from these measurements.

  1. 2 micron LIDAR for laser-based remote sensing: Flight demonstration and application survey

    SciTech Connect (OSTI)

    Wagener, T.J.; Demma, N.; Kmetec, J.D.; Kubo, T.S.

    1995-02-01

    A flight test of a diode-pumped solid-state 2 micron Doppler Light Detection And Ranging (LIDAR) system was conducted on-board the NASA Ames DC-8 Airborne Laboratory. This was the first ever airborne demonstration of a 2 micron diode-pumped solid-state Doppler LIDAR. The LIDAR performance was verified by comparing the true-airspeed (TAS) estimate with that found using the pneumatic air data system; excellent agreement was found. The capabilities of this pulsed 2 micron Doppler LIDAR system include high bandwidth air data determination without the need for extensive forebody calibration, remote wind profiling as far as several kilometers away from the aircraft, eye-safe laser transmission at 2 micron, and diode-pumped solid-state design for compact construction and reliable performance. 7 refs.

  2. Structural Analysis of Southern Dixie Valley using LiDAR and...

    Open Energy Info (EERE)

    and characterize young faults, high resolution LiDAR and 1:12,000-scale low-sun-angle (LSA) aerial photography was acquired for the NAS Fallon study area. The LSA photos were...

  3. DOE/SC-ARM/TR-100 Raman Lidar Profiles Best Estimate Value-Added...

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

    state or reflect those of the U.S. Government or any agency thereof. DOESC-ARMTR-100 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report R Newsom...

  4. Performance of a VME-based parallel processing LIDAR data acquisition system (summary)

    SciTech Connect (OSTI)

    Moore, K.; Buttler, B.; Caffrey, M.; Soriano, C.

    1995-05-01

    It may be possible to make accurate real time, autonomous, 2 and 3 dimensional wind measurements remotely with an elastic backscatter Light Detection and Ranging (LIDAR) system by incorporating digital parallel processing hardware into the data acquisition system. In this paper, we report the performance of a commercially available digital parallel processing system in implementing the maximum correlation technique for wind sensing using actual LIDAR data. Timing and numerical accuracy are benchmarked against a standard microprocessor impementation.

  5. Retrieval of Urban Boundary Layer Structures from Doppler Lidar Data. Part I: Accuracy Assessment

    SciTech Connect (OSTI)

    Xia, Quanxin; Lin, Ching Long; Calhoun, Ron; Newsom, Rob K.

    2008-01-01

    Two coherent Doppler lidars from the US Army Research Laboratory (ARL) and Arizona State University (ASU) were deployed in the Joint Urban 2003 atmospheric dispersion field experiment (JU2003) held in Oklahoma City. The dual lidar data are used to evaluate the accuracy of the four-dimensional variational data assimilation (4DVAR) method and identify the coherent flow structures in the urban boundary layer. The objectives of the study are three-fold. The first objective is to examine the effect of eddy viscosity models on the quality of retrieved velocity data. The second objective is to determine the fidelity of single-lidar 4DVAR and evaluate the difference between single- and dual-lidar retrievals. The third objective is to correlate the retrieved flow structures with the ground building data. It is found that the approach of treating eddy viscosity as part of control variables yields better results than the approach of prescribing viscosity. The ARL single-lidar 4DVAR is able to retrieve radial velocity fields with an accuracy of 98% in the along-beam direction and 80-90% in the cross-beam direction. For the dual-lidar 4DVAR, the accuracy of retrieved radial velocity in the ARL cross-beam direction improves to 90-94%. By using the dual-lidar retrieved data as a reference, the single-lidar 4DVAR is able to recover fluctuating velocity fields with 70-80% accuracy in the along-beam direction and 60-70% accuracy in the cross-beam direction. Large-scale convective roll structures are found in the vicinity of downtown airpark and parks. Vortical structures are identified near the business district. Strong updrafts and downdrafts are also found above a cluster of restaurants.

  6. Cooperation on Lidar for Improved Wind Turbine Performance. Cooperative Research and Development Final Report, CRADA Number CRD-13-521

    SciTech Connect (OSTI)

    Fleming, Paul

    2015-05-12

    Research into the use of lidar for improved wind turbine performance is an area of considerable interest. Lidars have been proposed to analyze and improve wind turbine pitch control performance, yaw alignment and control performance, as well as to improve power curve assessments. In this CRADA, NREL, NRG Systems, Inc. (“NRG”) and Avent Lidar Technology SAS (“Avent”) will collaborate on testing these concepts.

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

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

    each of ARM's MPLs to add fast-switching polarization. The plan is in process to have Sigma Space modify all six installed MPL systems. Raman Lidar (RL) Mentor: Rob Newsom,...

  8. Lidar-measured winds from space: A key component for weather and climate prediction

    SciTech Connect (OSTI)

    Baker, W.E.; Emmitt, G.D.; Robertson, F.

    1995-06-01

    The deployment of a space-based Doppler lidar would provide information that is fundamental to advancing the understanding and prediction of weather and climate. This paper reviews the concepts of wind measurement by Doppler lidar, highlights the results of some observing system simulation experiments with lidar winds, and discusses the important advances in earth system science anticipated with lidar winds. Observing system simulation experiments, conducted using two different general circulation models, have shown (1) that there is a significant improvement in the forecast accuracy over the Southern Hemisphere and tropical oceans resulting from the assimilation of simulated satellite wind data, and (2) that wind data are significantly more effective than temperature or moisture data in controlling analysis error. Because accurate wind observations are currently almost entirely unavailable for the vast majority of tropical cyclones worldwide, lidar winds have the potential to substantially improve tropical cyclone forecasts. Similarly, to improve water vapor flux divergence calculations, a direct measure of the ageostrophic wind is needed since the present level of uncertainty cannot be reduced with better temperature and moisture soundings alone. 99 refs., 10 figs., 3 tabs.

  9. Incoherent Doppler lidar for measurement of atmospheric winds

    SciTech Connect (OSTI)

    Skinner, W.R.; Hays, P.B.

    1994-12-31

    A conceptual space-based incoherent Doppler lidar wind measurement system is described. The system employs a Fabry-Perot interferometer to detect the Doppler shift of the backscattered laser line, and uses two channels, one for aerosol and one for molecular backscatter. Previous investigations have considered only the aerosol backscatter as the means to determine the Doppler shift. Several studies have demonstrated that aerosol backscatter, particularly over the oceans and in the southern hemisphere, can be extremely low in the free troposphere. The two channel configuration permits acceptable measurements regardless of the aerosol loading. The system operates in the near UV, which is eye safe and provides a large molecular backscatter. With a 20 Watt laser, 1 meter diameter collecting telescope, and 5 seconds integration time, the horizontal line of sight wind errors would be less than 1 m/s with aerosols typical of a continental loading from the surface to the stratosphere. Areas of low aerosol loading would have errors of about 3 m/s.

  10. Measurements of Wind and Turbulence Profiles with Scanning Doppler Lidar for Wind Energy Applications

    SciTech Connect (OSTI)

    Frehlich, R.; Kelley, N.

    2008-03-01

    High-quality profiles of mean and turbulent statistics of the wind field upstream of a wind farm can be produced using a scanning Doppler lidar. Careful corrections for the spatial filtering of the wind field by the lidar pulse produce turbulence estimates equivalent to point sensors but with the added advantage of a larger sampling volume to increase the statistical accuracy of the estimates. For a well-designed lidar system, this permits accurate estimates of the key turbulent statistics over various subdomains and with sufficiently short observation times to monitor rapid changes in conditions. These features may be ideally suited for optimal operation of wind farms and also for improved resource assessment of potential sites.

  11. Reduction of the pulse spike-cut error in Fourier-deconvolved lidar profiles

    SciTech Connect (OSTI)

    Stoyanov, D.V.; Gurdev, L.L.; Dreischuh, T.N.

    1996-08-01

    A simple approach is analyzed and applied to the National Oceanic and Atmospheric Administration (NOAA) Doppler lidar data to reduce the error in Fourier-deconvolved lidar profiles that is caused by spike-cut uncertainty in the laser pulse shape, i.e., uncertainty of the type of not well-recorded (cut, missed) pulse spikes. Such a type of uncertainty is intrinsic to the case of TE (TEA) CO{sub 2} laser transmitters. This approach requires only an estimate of the spike area to be known. The result from the analytical estimation of error reduction is in agreement with the results from the NOAA lidar data processing and from computer simulation. {copyright} {ital 1996 Optical Society of America.}

  12. The lidar dark band: An oddity of the radar bright band analogy

    SciTech Connect (OSTI)

    Sassen, K.

    1996-04-01

    Although much has sbeen learned from independent radar and lidar studies of atmospheric precipitations, occasionally supported by aircraft profiling, what has been lacking is combined optical, microwave, and insitu observations of the melting layer. Fortunately, the rainshowers on April 21, 1994, during the Remote Cloud Sensing intensive obervations Period (RCSIOP) at the Southern Great Plains Cloud and radiation Testbed (CART) site provided an opportunity for coordinated dual-wavelength University of Utah Polarization Diversity Lidar, University of Massachusetts Cloud Profiling Radar System Doppler Radar, and the University of North Dakota Citation aircraft measurements.

  13. Cirrus cloud-temperature interactions over a tropical station, Gadanki from lidar and satellite observations

    SciTech Connect (OSTI)

    S, Motty G Satyanarayana, M. Krishnakumar, V. Dhaman, Reji k.

    2014-10-15

    The cirrus clouds play an important role in the radiation budget of the earth's atmospheric system and are important to characterize their vertical structure and optical properties. LIDAR measurements are obtained from the tropical station Gadanki (13.5{sup 0} N, 79.2{sup 0} E), India, and meteorological indicators derived from Radiosonde data. Most of the cirrus clouds are observed near to the tropopause, which substantiates the strength of the tropical convective processes. The height and temperature dependencies of cloud height, optical depth, and depolarization ratio were investigated. Cirrus observations made using CALIPSO satellite are compared with lidar data for systematic statistical study of cirrus climatology.

  14. ARM - Publications: Science Team Meeting Documents: MPL Hardware...

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

    Measurement Capabilities Flynn, Connor Pacific Northwest National Laboratory Mendoza, Albert PNNL Hopkins, Derek Pacific Northwest National Laboratoroy Flynn, Donna Pacific...

  15. Adjusting lidar-derived digital terrain models in coastal marshes based on estimated aboveground biomass density

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

    Medeiros, Stephen; Hagen, Scott; Weishampel, John; Angelo, James

    2015-03-25

    Digital elevation models (DEMs) derived from airborne lidar are traditionally unreliable in coastal salt marshes due to the inability of the laser to penetrate the dense grasses and reach the underlying soil. To that end, we present a novel processing methodology that uses ASTER Band 2 (visible red), an interferometric SAR (IfSAR) digital surface model, and lidar-derived canopy height to classify biomass density using both a three-class scheme (high, medium and low) and a two-class scheme (high and low). Elevation adjustments associated with these classes using both median and quartile approaches were applied to adjust lidar-derived elevation values closer tomore » true bare earth elevation. The performance of the method was tested on 229 elevation points in the lower Apalachicola River Marsh. The two-class quartile-based adjusted DEM produced the best results, reducing the RMS error in elevation from 0.65 m to 0.40 m, a 38% improvement. The raw mean errors for the lidar DEM and the adjusted DEM were 0.61 ± 0.24 m and 0.32 ± 0.24 m, respectively, thereby reducing the high bias by approximately 49%.« less

  16. Active probing of cloud thickness and optical depth using wide-angle imaging LIDAR.

    SciTech Connect (OSTI)

    Love, Steven P.; Davis, A. B.; Rohde, C. A.; Tellier, L. L.; Ho, Cheng,

    2002-01-01

    At most optical wavelengths, laser light in a cloud lidar experiment is not absorbed but merely scattered out of the beam, eventually escaping the cloud via multiple scattering. There is much information available in this light scattered far from the input beam, information ignored by traditional 'on-beam' lidar. Monitoring these off-beam returns in a fully space- and time-resolved manner is the essence of our unique instrument, Wide Angle Imaging Lidar (WAIL). In effect, WAIL produces wide-field (60{sup o} full-angle) 'movies' of the scattering process and records the cloud's radiative Green functions. A direct data product of WAIL is the distribution of photon path lengths resulting from multiple scattering in the cloud. Following insights from diffusion theory, we can use the measured Green functions to infer the physical thickness and optical depth of the cloud layer. WAIL is notable in that it is applicable to optically thick clouds, a regime in which traditional lidar is reduced to ceilometry. Section 2 covers the up-to-date evolution of the nighttime WAIL instrument at LANL. Section 3 reports our progress towards daytime capability for WAIL, an important extension to full diurnal cycle monitoring by means of an ultra-narrow magneto-optic atomic line filter. Section 4 describes briefly how the important cloud properties can be inferred from WAIL signals.

  17. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30

    New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulence information for optimal control of the wind turbines at large wind farms.

  18. Turbine-scale wind field measurements using dual-Doppler lidar

    SciTech Connect (OSTI)

    Newsom, Rob K.; Berg, Larry K.; Shaw, William J.; Fischer, Marc

    2015-02-01

    Spatially resolved measurements of micro-scale winds are retrieved using scanning dual-Doppler lidar, and validated against independent in situ wind measurements. Data for this study were obtained during a month-long field campaign conducted at a site in north-central Oklahoma in November of 2010. Observational platforms include one heavily instrumented 60-m meteorological tower and two scanning coherent Doppler lidars. The lidars were configured to perform coordinated dual-Doppler scans surrounding the 60-m tower, and the resulting radial velocity observations were processed to retrieve the 3-component velocity vector field on surfaces defined by the intersecting scan planes. Raw radial velocity measurements from the lidars were calibrated by direct comparison to a sonic anemometer located at the 60 m level on the tower. Wind retrievals were performed using both calibrated and uncalibrated measurements, and validated against the 60-m sonic anemometer observations. Retrievals using uncalibrated radial velocity data show a significant slow bias in the wind speed of about 14%; whereas the retrievals using the calibrated data show a much smaller slow bias of 1.2%. Retrievals using either the calibrated or uncalibrated data exhibit negligible bias in the wind direction (<0.2o), and excellent correlation in the wind speeds (>0.96).

  19. Adjusting lidar-derived digital terrain models in coastal marshes based on estimated aboveground biomass density

    SciTech Connect (OSTI)

    Medeiros, Stephen; Hagen, Scott; Weishampel, John; Angelo, James

    2015-03-25

    Digital elevation models (DEMs) derived from airborne lidar are traditionally unreliable in coastal salt marshes due to the inability of the laser to penetrate the dense grasses and reach the underlying soil. To that end, we present a novel processing methodology that uses ASTER Band 2 (visible red), an interferometric SAR (IfSAR) digital surface model, and lidar-derived canopy height to classify biomass density using both a three-class scheme (high, medium and low) and a two-class scheme (high and low). Elevation adjustments associated with these classes using both median and quartile approaches were applied to adjust lidar-derived elevation values closer to true bare earth elevation. The performance of the method was tested on 229 elevation points in the lower Apalachicola River Marsh. The two-class quartile-based adjusted DEM produced the best results, reducing the RMS error in elevation from 0.65 m to 0.40 m, a 38% improvement. The raw mean errors for the lidar DEM and the adjusted DEM were 0.61 0.24 m and 0.32 0.24 m, respectively, thereby reducing the high bias by approximately 49%.

  20. Detailed Hydrographic Feature Extraction from High-Resolution LiDAR Data

    SciTech Connect (OSTI)

    Danny L. Anderson

    2012-05-01

    Detailed hydrographic feature extraction from high-resolution light detection and ranging (LiDAR) data is investigated. Methods for quantitatively evaluating and comparing such extractions are presented, including the use of sinuosity and longitudinal root-mean-square-error (LRMSE). These metrics are then used to quantitatively compare stream networks in two studies. The first study examines the effect of raster cell size on watershed boundaries and stream networks delineated from LiDAR-derived digital elevation models (DEMs). The study confirmed that, with the greatly increased resolution of LiDAR data, smaller cell sizes generally yielded better stream network delineations, based on sinuosity and LRMSE. The second study demonstrates a new method of delineating a stream directly from LiDAR point clouds, without the intermediate step of deriving a DEM. Direct use of LiDAR point clouds could improve efficiency and accuracy of hydrographic feature extractions. The direct delineation method developed herein and termed mDn, is an extension of the D8 method that has been used for several decades with gridded raster data. The method divides the region around a starting point into sectors, using the LiDAR data points within each sector to determine an average slope, and selecting the sector with the greatest downward slope to determine the direction of flow. An mDn delineation was compared with a traditional grid-based delineation, using TauDEM, and other readily available, common stream data sets. Although, the TauDEM delineation yielded a sinuosity that more closely matches the reference, the mDn delineation yielded a sinuosity that was higher than either the TauDEM method or the existing published stream delineations. Furthermore, stream delineation using the mDn method yielded the smallest LRMSE.

  1. Method to determine and adjust the alignment of the transmitter and receiver fields of view of a LIDAR system

    DOE Patents [OSTI]

    Schmitt, Randal L. (Tijeras, NM); Henson, Tammy D. (Albuquerque, NM); Krumel, Leslie J. (Cedar Crest, NM); Hargis, Jr., Philip J. (Albuquerque, NM)

    2006-06-20

    A method to determine the alignment of the transmitter and receiver fields of view of a light detection and ranging (LIDAR) system. This method can be employed to determine the far-field intensity distribution of the transmitter beam, as well as the variations in transmitted laser beam pointing as a function of time, temperature, or other environmental variables that may affect the co-alignment of the LIDAR system components. In order to achieve proper alignment of the transmitter and receiver optical systems when a LIDAR system is being used in the field, this method employs a laser-beam-position-sensing detector as an integral part of the receiver optics of the LIDAR system.

  2. Field Test Results of Using a Nacelle-Mounted Lidar for Improving Wind Energy Capture by Reducing Yaw Misalignment (Presentation)

    SciTech Connect (OSTI)

    Fleming, P.; Scholbrock, A.; Wright, A.

    2014-11-01

    Presented at the Nordic Wind Power Conference on November 5, 2014. This presentation describes field-test campaigns performed at the National Wind Technology Center in which lidar technology was used to improve the yaw alignment of the Controls Advanced Research Turbine (CART) 2 and CART3 wind turbines. The campaigns demonstrated that whether by learning a correction function to the nacelle vane, or by controlling yaw directly with the lidar signal, a significant improvement in power capture was demonstrated.

  3. Additional development of remote sensing techniques for observing morphology, microphysics, and radiative properties of clouds and tests using a new, robust CO{sub 2} lidar. Final report

    SciTech Connect (OSTI)

    Eberhard, W.L.; Brewer, W.A.; Intrieri, J.M.

    1998-09-28

    A three-year project with a goal of advancing CO{sub 2} lidar technology and measurement techniques for cloud studies was successfully completed. An eyesafe, infrared lidar with good sensitivity and improved Doppler accuracy was designed, constructed, and demonstrated. Dual-wavelength operation was achieved. A major leap forward in robustness was demonstrated. CO{sub 2} lidars were operated as part of two Intensive Operations Periods at the Southern Great Plains CART site. The first used an older lidar and was intended primarily for measurement technique development. The second used the new lidar and was primarily a demonstration and evaluation of its performance. Progress was demonstrated in the development, evaluation, and application of measurement techniques using CO{sub 2} lidar.

  4. Microsoft PowerPoint - 01_Schmid_AWG_Monterey_Intro.ppt [Compatibility Mode]

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

    STM, Monterey, CA Aerosol Working Group Breakout Session March 26, 2007 Beat Schmid AWG PIs (as of December 2006) AWG Instruments * Raman Lidar * Raman Lidar * Micropulse Lidars * Aerosol Observation Systems * Aerosol Observation Systems - scattering, absorption, number, size distribution, hygroscopicity, CCN, composition (major ions). yg p y, , p ( j ) * In situ Aerosol Profile (Cessna) - scattering, absorption, number, hygroscopicity, CO 2 g, p , , yg p y, 2 * Radiometers: - MFRSR, NIMFR, RSS,

  5. Three dimensional winds: A maximum cross-correlation application to elastic lidar data

    SciTech Connect (OSTI)

    Buttler, W.T.

    1996-05-01

    Maximum cross-correlation techniques have been used with satellite data to estimate winds and sea surface velocities for several years. Los Alamos National Laboratory (LANL) is currently using a variation of the basic maximum cross-correlation technique, coupled with a deterministic application of a vector median filter, to measure transverse winds as a function of range and altitude from incoherent elastic backscatter lidar (light detection and ranging) data taken throughout large volumes within the atmospheric boundary layer. Hourly representations of three-dimensional wind fields, derived from elastic lidar data taken during an air-quality study performed in a region of complex terrain near Sunland Park, New Mexico, are presented and compared with results from an Environmental Protection Agency (EPA) approved laser doppler velocimeter. The wind fields showed persistent large scale eddies as well as general terrain-following winds in the Rio Grande valley.

  6. Differential absorption lidar measurements of atmospheric temperature profiles - Theory and experiment

    SciTech Connect (OSTI)

    Theopold, F.A.; Boesenberg, J. )

    1993-04-01

    The method of measuring atmospheric temperature profiles with differential absorption lidar (DIAL), based on the temperature dependence of oxygen absorption lines in the near-IR, is investigated in detail. Particularly, the influence of Doppler broadening on the Rayleigh-backscattered signal is evaluated, and a correction method for this effect is presented which requires an accurate estimate of the molecular and particle backscatter contributions; this is noted not to be achievable by the usual lidar inversion techniques. Under realistic conditions, resulting errors may be as high as 10 K. First range-resolved measurements using this technique are presented, using a slightly modified DIAL system originally constructed for water vapor measurements. While much better resolution can certainly be achieved by technical improvements, the errors introduced by the uncertainty of the backscatter contributions will remain and determine the accuracy that can be obtained with this method. 35 refs.

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

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

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

  8. DOE/SC-ARM/TR-120 Raman Lidar Profiles-Temperature

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

    0 Raman Lidar Profiles-Temperature (RLPROFTEMP) Value-Added Product RK Newsom C Sivaraman SA McFarlane October 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

  9. Linearly Organized Turbulence Structures Observed Over a Suburban Area by Dual-Doppler Lidar

    SciTech Connect (OSTI)

    Newsom, Rob K.; Calhoun, Ron; Ligon, David; Allwine, K Jerry

    2008-04-01

    Dual-Doppler lidar observations are used to investigate the structure and evolution of surface layer flow over a suburban area. The observations were made during the Joint Urban 2003 (JU2003) field experiment in Oklahoma City in the summer of 2003. This study focuses specifically on a 10-hour sequence of scan data beginning shortly after noon local time on July 7, 2003. During this period two coherent Doppler lidars performed overlapping low elevation angle sector scans upwind and south of Oklahoma Citys central business district (CBD). Radial velocity data from the two lidars are processed to reveal the structure and evolution of the horizontal velocity field in the surface layer throughout the afternoon and evening transition periods. The retrieved velocity fields clearly show a tendency for turbulence structures to be elongated in the direction of the mean flow throughout the entire 10-hour study period. As the stratification changed from unstable to weakly stable the turbulence structures became increasingly more linearly organized, and the cross-stream separation between high- and low-speed regoins decreased. The spatially resolved velocity fields are used to estimate streamwise and cross-stream turbulence length scales as functions of stability.

  10. Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner

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

    Schlipf, David; Fleming, Paul; Haizmann, Florian; Scholbrock, Andrew; Hofsass, Martin; Wright, Alan; Cheng, Po Wen

    2014-01-01

    This work presents the results from a field test of LIDAR assisted collective pitch control using a scanning LIDAR device installed on the nacelle of a mid-scale research turbine. A nonlinear feedforward controller is extended by an adaptive filter to remove all uncorrelated frequencies of the wind speed measurement to avoid unnecessary control action. Positive effects on the rotor speed regulation as well as on tower, blade and shaft loads have been observed in the case that the previous measured correlation and timing between the wind preview and the turbine reaction are accomplish. The feedforward controller had negative impact, whenmore » the LIDAR measurement was disturbed by obstacles in front of the turbine. This work proves, that LIDAR is valuable tool for wind turbine control not only in simulations but also under real conditions. Moreover, the paper shows that further understanding of the relationship between the wind measurement and the turbine reaction is crucial to improve LIDAR assisted control of wind turbines.« less

  11. ARM - Publications: Science Team Meeting Documents

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

    Comparisons of Measurements of Cloud Lower Boundaries by the MPL, BLC, MMCR, BBSS and AERI Han, D., and Ellingson, R.G., University of Maryland Eighth Atmospheric Radiation Measurement (ARM) Science Team Meeting The cloud lower boundary is an important factor in radiative transfer under various cloud conditions. Several ground-based instruments at the ARM CART Central Facility, including the micro pulse lidar (MPL), the Belfort laser ceilometer (BLC), and the MilliMeter Cloud profiling Radar

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

    SciTech Connect (OSTI)

    Hostetler, Chris; Ferrare, Richard

    2013-02-14

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

  13. Frequency agile laser safety & hazard analysis for the Sandia Remote Sensing System LIDAR.

    SciTech Connect (OSTI)

    Augustoni, Arnold L.

    2009-05-01

    A laser safety and hazard analysis was performed for the Raytheon Frequency Agile Laser (FAL) to be used with the Sandia Remote Sensing System (SRSS) B-70 Trailer based on the 2007 version of the American National Standards Institute's (ANSI) Standard 136.1, for Safe Use of Lasers and the 2005 version of the ANSI Standard Z136.6, for Safe Use of Lasers Outdoors. The B-70 SRSS LIDAR system is a portable platform, which is used to perform laser interaction experiments and tests at various national test sites.

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

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

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

    2013-01-01

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

  15. Marine boundary layer structure as observed by space-based Lidar

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

    Luo, T.; Wang, Z.; Zhang, D.

    2015-12-03

    The marine boundary layer (MBL) structure is important to the exchange of heat, momentum, and moisture between oceans and the low atmosphere and to the marine low cloud processes. This paper explores MBL structure over the eastern Pacific region with a new 4 year satellite-based dataset. The MBL aerosol lidar backscattering from the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) was used to identify the MBL top (BLH) and the mixing layer height (MLH). Results showed that MBL is generally decoupled with MLH / BLH ratio ranging from ? 0.5 to ? 0.8 and the MBL decoupling magnitude ismoremainly controlled by estimated inversion strength (EIS) that affects the cloud top entrainment process. The systematic differences between drizzling and non-drizzling stratocumulus tops, which may relate to the meso-scale circulations or gravity wave in MBL, also show dependence on EIS. Further analysis indicated that the MBL shows similar decoupled structure for clear sky and cumulus cloud-topped conditions, but is better mixed under stratiform cloud breakup and overcast conditions.less

  16. Active probing of cloud multiple scattering, optical depth, vertical thickness, and liquid water content using wide-angle imaging LIDAR.

    SciTech Connect (OSTI)

    Love, Steven P.; Davis, A. B.; Rohde, C. A.; Tellier, L. L.; Ho, Cheng,

    2002-01-01

    At most optical wavelengths, laser light in a cloud lidar experiment is not absorbed but merely scattered out of the beam, eventually escaping the cloud via multiple scattering. There is much information available in this light scattered far from the input beam, information ignored by traditional 'on-beam' lidar. Monitoring these off-beam returns in a fully space- and time-resolved manner is the essence of our unique instrument, Wide Angle Imaging Lidar (WAIL). In effect, WAIL produces wide-field (60-degree full-angle) 'movies' of the scattering process and records the cloud's radiative Green functions. A direct data product of WAIL is the distribution of photon path lengths resulting from multiple scattering in the cloud. Following insights from diffusion theory, we can use the measured Green functions to infer the physical thickness and optical depth of the cloud layer, and, from there, estimate the volume-averaged liquid water content. WAIL is notable in that it is applicable to optically thick clouds, a regime in which traditional lidar is reduced to ceilometry. Here we present recent WAIL data oti various clouds and discuss the extension of WAIL to full diurnal monitoring by means of an ultra-narrow magneto-optic atomic line filter for daytime measurements.

  17. Field Test Results from Lidar Measured Yaw Control for Improved Yaw Alignment with the NREL Controls Advanced Research Turbine: Preprint

    SciTech Connect (OSTI)

    Scholbrock, A.; Fleming, P.; Wright, A.; Slinger, C.; Medley, J.; Harris, M.

    2014-12-01

    This paper describes field tests of a light detection and ranging (lidar) device placed forward looking on the nacelle of a wind turbine and used as a wind direction measurement to directly control the yaw position of a wind turbine. Conventionally, a wind turbine controls its yaw direction using a nacelle-mounted wind vane. If there is a bias in the measurement from the nacelle-mounted wind vane, a reduction in power production will be observed. This bias could be caused by a number of issues such as: poor calibration, electromagnetic interference, rotor wake, or other effects. With a lidar mounted on the nacelle, a measurement of the wind could be made upstream of the wind turbine where the wind is not being influenced by the rotor's wake or induction zone. Field tests were conducted with the lidar measured yaw system and the nacelle wind vane measured yaw system. Results show that a lidar can be used to effectively measure the yaw error of the wind turbine, and for this experiment, they also showed an improvement in power capture because of reduced yaw misalignment when compared to the nacelle wind vane measured yaw system.

  18. Field Testing of LIDAR-Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600-kW Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Kumar, Avishek A.; Bossanyi, Ervin A.; Scholbrock, Andrew K.; Fleming, Paul; Boquet, Mathieu; Krishnamurthy, Raghu

    2015-12-14

    A severe challenge in controlling wind turbines is ensuring controller performance in the presence of a stochastic and unknown wind field, relying on the response of the turbine to generate control actions. Recent technologies such as LIDAR, allow sensing of the wind field before it reaches the rotor. In this work a field-testing campaign to test LIDAR Assisted Control (LAC) has been undertaken on a 600-kW turbine using a fixed, five-beam LIDAR system. The campaign compared the performance of a baseline controller to four LACs with progressively lower levels of feedback using 35 hours of collected data.

  19. ARM Aerosol Working Group Meeting

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

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

  20. Femtosecond Coherent Anti-Stokes Raman Spectroscopy (CARS) As Next Generation Nonlinear LIDAR Spectroscopy and Microscopy

    SciTech Connect (OSTI)

    Ooi, C. H. Raymond

    2009-07-10

    Nonlinear spectroscopy using coherent anti-Stokes Raman scattering and femtosecond laser pulses has been successfully developed as powerful tools for chemical analysis and biological imaging. Recent developments show promising possibilities of incorporating CARS into LIDAR system for remote detection of molecular species in airborne particles. The corresponding theory is being developed to describe nonlinear scattering of a mesoscopic particle composed of complex molecules by laser pulses with arbitrary shape and spectral content. Microscopic many-body transform theory is used to compute the third order susceptibility for CARS in molecules with known absorption spectrum and vibrational modes. The theory is combined with an integral scattering formula and Mie-Lorentz formulae, giving a rigorous formalism which provides powerful numerical experimentation of CARS spectra, particularly on the variations with the laser parameters and the direction of detection.

  1. Comparing Pulsed Doppler LIDAR with SODAR and Direct Measurements for Wind Assessment

    SciTech Connect (OSTI)

    Kelley, N. D.; Jonkman, B. J.; Scott, G. N.; Pichugina, Y. L.

    2007-07-01

    There is a pressing need for good wind-speed measurements at greater and greater heights to assess the availability of the resource in terms of power production and to identify any frequently occurring atmospheric structural characteristics that may create turbulence that impacts the operational reliability and lifetime of wind turbines and their components. In this paper, we summarize the results of a short study that compares the relative accuracies of wind speeds derived from a high-resolution pulsed Doppler LIDAR operated by the National Oceanic and Atmospheric Administration (NOAA) and a midrange Doppler SODAR with wind speeds measured by four levels of tower-based sonic anemometry up to a height of 116 m.

  2. Raman Lidar

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

    While this technique is highly accurate, the retrieval is performed using signals from Raman-scattered light that is a weak scattering process. FEX uses an adaptive smoothing...

  3. Analysis of Doppler Lidar Data Acquired During the Pentagon Shield Field Campaign

    SciTech Connect (OSTI)

    Newsom, Rob K.

    2011-04-14

    Observations from two coherent Doppler lidars deployed during the Pentagon Shield field campaign are analyzed in conjunction with other sensors to characterize the overall boundary-layer structure, and identify the dominant flow characteristics during the entire two-week field campaign. Convective boundary layer (CBL) heights and cloud base heights (CBH) are estimated from an analysis of the lidar signal-to-noise-ratio (SNR), and mean wind profiles are computed using a modified velocity-azimuth-display (VAD) algorithm. Three-dimensional wind field retrievals are computed from coordinated overlapping volume scans, and the results are analyzed by visualizing the flow in horizontal and vertical cross sections. The VAD winds show that southerly flows dominate during the two-week field campaign. Low-level jets (LLJ) were evident on all but two of the nights during the field campaign. The LLJs tended to form a couple hours after sunset and reach maximum strength between 03 and 07 UTC. The surface friction velocities show distinct local maxima during four nights when strong LLJs formed. Estimates of the convective boundary layer height and residual layer height are obtained through an analysis of the vertical gradient of the lidar signal-to-noise-ratio (SNR). Strong minimum in the SNR gradient often develops just above the surface after sunrise. This minimum is associated with the developing CBL, and increases rapidly during the early portion of the daytime period. On several days, this minimum continues to increase until about sunset. Secondary minima in the SNR gradient were also observed at higher altitudes, and are believed to be remnants of the CBL height from previous days, i.e. the residual layer height. The dual-Doppler analysis technique used in this study makes use of hourly averaged radial velocity data to produce three-dimensional grids of the horizontal velocity components, and the horizontal velocity variance. Visualization of horizontal and vertical cross sections of the dual-Doppler wind retrievals often indicated a jet-like flow feature over the Potomac River under southerly flow conditions. This linear flow feature is roughly aligned with the Potomac River corridor to the south of the confluence with the Anatostia River, and is most apparent at low levels (i.e. below ~150 m MSL). It is believed that this flow arises due to reduced drag over the water surface and when the large scale flow aligns with the Potomac River corridor. A so-called area-constrained VAD analysis generally confirmed the observations from the dual-Doppler analysis. When the large scale flow is southerly, wind speeds over the Potomac River are consistently larger than the at a site just to the west of the river for altitudes less than 100 m MSL. Above this level, the trend is somewhat less obvious. The data suggest that the depth of the wind speed maximum may be reduced by strong directional shear aloft.

  4. A technique for measuring winds in the lower atmosphere using incoherent Doppler lidar

    SciTech Connect (OSTI)

    DeSlover, D.H.; Slaughter, D.R.; Tulloch, W.M.; White, W.E.

    1993-04-14

    Wind speed is useful from a meteorological standpoint, in atmospheric modeling, and assessment of trace gas dispersal. A continuing effort is involved in improving the sensitivity of such measurements, and is exemplified by the literature. The Mobile Atmospheric Research Laboratory (MARL) at Lawrence Livermore National Laboratory (LLNL) is currently developing a method to improve the sensitivity of wind sounding in the lower through middle atmosphere using a pair of Fabry- Perot interferometers in parallel. This technique, first described by Chanin, et al., for the middle atmosphere using Doppler Rayleigh lidar, can be applied to the lower atmosphere where Mie (aerosol) backscatter is strong. Elastic events, inherent in both Rayleigh and Mie backscatter, dominate the return signal throughout the atmosphere. Both are susceptible to local wind vectors; which will Doppler shift the laser frequency proportional to the wind velocity. A pair of Fabry-Perot interferometers, tuned to either side of the laser frequency, will provide necessary data to determine the shift in frequency of the backscattered signal. Spectral drift and jitter of the laser and a lack of data points to determine the wind vector place limits on the sensitivity of the system. A method to minimize each of these is presented.

  5. A technique for measuring winds in the lower atmosphere using incoherent Doppler lidar

    SciTech Connect (OSTI)

    DeSlover, D.H.; Slaughter, D.R.; Tulloch, W.M.; White, W.E.

    1993-04-14

    Wind speed is useful from a meteorological standpoint, in atmospheric modeling, and assessment of trace gas dispersal. A continuing effort is involved in improving the sensitivity of such measurements, and is exemplified by the literature. The Mobile Atmospheric Research Laboratory (MARL) at Lawrence Livermore National Laboratory (LLNL) is currently developing a method to improve the sensitivity of wind sounding in the lower through middle atmosphere using a pair of Fabry-Perot interferometers in parallel. This technique, first described by Chanin, et al., for the middle atmosphere using Doppler Rayleigh lidar, can be applied to the lower atmosphere where Mie (aerosol) backscatter is strong. Elastic events, inherent in both Rayleigh and Mie backscatter, dominate the return signal throughout the atmosphere. Both are susceptible to local wind vectors; which will Doppler shift the laser frequency proportional to the wind velocity. A pair of Fabry-Perot interferometers, tuned to either side of the laser frequency, will provide necessary data to determine the shift in frequency of the backscattered signal. Spectral drift and jitter of the laser and a lack of data points to determine the wind vector place limits on the sensitivity of the system. A method to minimize each of these is presented.

  6. Estimations of atmospheric boundary layer fluxes and other turbulence parameters from Doppler lidar data

    SciTech Connect (OSTI)

    Tzvi Galchen; Mei Xu ); Eberhard, W.L. )

    1992-11-30

    This work is part of the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE), an international land-surface-atmosphere experiment aimed at improving the way climate models represent energy, water, heat, and carbon exchanges, and improving the utilization of satellite based remote sensing to monitor such parameters. Here the authors present results on doppler LIDAR measurements used to measure a range of turbulence parameters in the region of the unstable planetary boundary layer (PBL). The parameters include, averaged velocities, cartesian velocities, variances in velocities, parts of the covariance associated with vertical fluxes of horizontal momentum, and third moments of the vertical velocity. They explain their analysis technique, especially as it relates to error reduction of the averaged turbulence parameters from individual measurements with relatively large errors. The scales studied range from 150m to 12km. With this new diagnostic they address questions about the behavior of the convectively unstable PBL, as well as the stable layer which overlies it.

  7. Arctic Mixed-Phase Cloud Properties from AERI Lidar Observations: Algorithm and Results from SHEBA

    SciTech Connect (OSTI)

    Turner, David D.

    2005-04-01

    A new approach to retrieve microphysical properties from mixed-phase Arctic clouds is presented. This mixed-phase cloud property retrieval algorithm (MIXCRA) retrieves cloud optical depth, ice fraction, and the effective radius of the water and ice particles from ground-based, high-resolution infrared radiance and lidar cloud boundary observations. The theoretical basis for this technique is that the absorption coefficient of ice is greater than that of liquid water from 10 to 13 ?m, whereas liquid water is more absorbing than ice from 16 to 25 ?m. MIXCRA retrievals are only valid for optically thin (?visible < 6) single-layer clouds when the precipitable water vapor is less than 1 cm. MIXCRA was applied to the Atmospheric Emitted Radiance Interferometer (AERI) data that were collected during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment from November 1997 to May 1998, where 63% of all of the cloudy scenes above the SHEBA site met this specification. The retrieval determined that approximately 48% of these clouds were mixed phase and that a significant number of clouds (during all 7 months) contained liquid water, even for cloud temperatures as low as 240 K. The retrieved distributions of effective radii for water and ice particles in single-phase clouds are shown to be different than the effective radii in mixed-phase clouds.

  8. Detection of preferential particle orientation in the atmosphere. Development of an alternative polarization lidar system

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

    Geier, Manfred; Arienti, Marco

    2014-07-19

    Increasing interest in polarimetric characterization of atmospheric aerosols has led to the development of complete sample-measuring (Mueller) polarimeters that are capable of measuring the entire backscattering phase matrix of a probed volume. The Mueller polarimeters consist of several moving parts, which limit measurement rates and complicate data analysis. In this paper, we present the concept of a less complex polarization lidar setup for detection of preferential orientation of atmospheric particulates. On the basis of theoretical considerations of data inversion stability and propagation of measurement uncertainties, an optimum optical configuration is established for two modes of operation (with either a linearmore » or a circular polarized incident laser beam). We discovered that the conceptualized setup falls in the category of incomplete sample-measuring polarimeters and uses four detection channels for simultaneous measurement of the backscattered light. Likewise, the expected performance characteristics are discussed through an example of a typical aerosol with a small fraction of particles oriented in a preferred direction. As a result, the theoretical analysis suggests that achievable accuracies in backscatter cross-sections and depolarization ratios are similar to those with conventional two-channel configurations, while in addition preferential orientation can be detected with the proposed four-channel system for a wide range of conditions.« less

  9. Detection of preferential particle orientation in the atmosphere. Development of an alternative polarization lidar system

    SciTech Connect (OSTI)

    Geier, Manfred; Arienti, Marco

    2014-07-19

    Increasing interest in polarimetric characterization of atmospheric aerosols has led to the development of complete sample-measuring (Mueller) polarimeters that are capable of measuring the entire backscattering phase matrix of a probed volume. The Mueller polarimeters consist of several moving parts, which limit measurement rates and complicate data analysis. In this paper, we present the concept of a less complex polarization lidar setup for detection of preferential orientation of atmospheric particulates. On the basis of theoretical considerations of data inversion stability and propagation of measurement uncertainties, an optimum optical configuration is established for two modes of operation (with either a linear or a circular polarized incident laser beam). We discovered that the conceptualized setup falls in the category of incomplete sample-measuring polarimeters and uses four detection channels for simultaneous measurement of the backscattered light. Likewise, the expected performance characteristics are discussed through an example of a typical aerosol with a small fraction of particles oriented in a preferred direction. As a result, the theoretical analysis suggests that achievable accuracies in backscatter cross-sections and depolarization ratios are similar to those with conventional two-channel configurations, while in addition preferential orientation can be detected with the proposed four-channel system for a wide range of conditions.

  10. Nocturnal Low-Level-Jet-Dominated Atmospheric Boundary Layer Observed by a Doppler Lidar Over Oklahoma City during JU2003

    SciTech Connect (OSTI)

    Wang, Yansen; Klipp, Cheryl L.; Garvey, Dennis M.; Ligon, David; Williamson, Chatt C.; Chang, Sam S.; Newsom, Rob K.; Calhoun, Ron

    2007-12-01

    Boundary layer wind data observed by a Doppler lidar and sonic anemometers during the mornings of three intensive observational periods (IOP2, IOP3, and IOP7) of the Joint Urban 2003 (JU2003) field experiment are analyzed to extract the mean and turbulent characteristics of airflow over Oklahoma City, Oklahoma. A strong nocturnal low-level jet (LLJ) dominated the flow in the boundary layer over the measurement domain from midnight to the morning hours. Lidar scans through the LLJ taken after sunrise indicate that the LLJ elevation shows a gradual increase of 25-100 m over the urban area relative to that over the upstream suburban area. The mean wind speed beneath the jet over the urban area is about 10%-15% slower than that over the suburban area. Sonic anemometer observations combined with Doppler lidar observations in the urban and suburban areas are also analyzed to investigate the boundary layer turbulence production in the LLJ-dominated atmospheric boundary layer. The turbulence kinetic energy was higher over the urban domain mainly because of the shear production of building surfaces and building wakes. Direct transport of turbulent momentum flux from the LLJ to the urban street level was very small because of the relatively high elevation of the jet. However, since the LLJ dominated the mean wind in the boundary layer, the turbulence kinetic energy in the urban domain is correlated directly with the LLJ maximum speed and inversely with its height. The results indicate that the jet Richardson number is a reasonably good indicator for turbulent kinetic energy over the urban domain in the LLJ-dominated atmospheric boundary layer.

  11. A digital map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for Barrow, Alaska

    SciTech Connect (OSTI)

    Gangodagamage, Chandana; Wullschleger, Stan

    2014-07-03

    This dataset represent a map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for the arctic coastal plain at Barrow, Alaska. The polygon troughs are considered as the surface expression of the ice-wedges. The troughs are in lower elevations than the interior polygon. The trough widths were initially identified from LiDAR data, and the boundary between two polygons assumed to be located along the lowest elevations on trough widths between them.

  12. Calculation of aerosol backscatter from airborne continuous wave focused CO sub 2 Doppler lidar measurements. 1. Algorithm description

    SciTech Connect (OSTI)

    Rothermel, J. ); Bowdle, D.A. ); Vaughan, J.M.; Brown, D.W. ); Woodfield, A.A. )

    1991-03-20

    Since 1981 the Royal Signals and Radar Establishment and the Royal Aircraft Establishment, United Kingdom, have made vertical and horizontal sounding measurements of aerosol backscatter coefficients at 10.6 {mu}m using an airborne continuous wave focused CO{sub 2} Doppler lidar, the Laser True Airspeed System (LATAS). The heterodyne signal from the LATAS detector is spectrally analyzed. Then, in conjunction with aircraft flight parameters, the data are processed in a six-stage computer algorithm: Set search window, search for peak signal, test peak signal, measure total signal, calculate signal-to-noise ratio (SNR), and calculate backscatter coefficient.

  13. Estimation of the mixing layer height over a high altitude site in Central Himalayan region by using Doppler lidar

    SciTech Connect (OSTI)

    Shukla, K. K.; Phanikumar, D. V.; Newsom, Rob K.; Kumar, Niranjan; Ratnam, Venkat; Naja, M.; Singh, Narendra

    2014-03-01

    A Doppler lidar was installed at Manora Peak, Nainital (29.4 N; 79.2 E, 1958 amsl) to estimate mixing layer height for the first time by using vertical velocity variance as basic measurement parameter for the period September-November 2011. Mixing layer height is found to be located ~0.57 +/- 0.1and 0.45 +/- 0.05km AGL during day and nighttime, respectively. The estimation of mixing layer height shows good correlation (R>0.8) between different instruments and with different methods. Our results show that wavelet co-variance transform is a robust method for mixing layer height estimation.

  14. Wind flow in the Fraser Valley as measured by a pulsed CO{sub 2} Doppler lidar

    SciTech Connect (OSTI)

    Olivier, L.D.; Banta, R.M.; Hardesty, R.M.

    1994-12-31

    The Vancouver, British Columbia metropolitan area, with a population close to 1.5 million people, experiences high levels of tropospheric ozone during the summer months. The transport of pollution, including tropospheric ozone, in the Vancouver area, is influenced by a local land/sea breeze circulation, the valley flows associated with the Lower Fraser River Valley to the east of the city, and the complex terrain to the north and northeast of the city. In July and August of 1993, an experiment was conducted in the Vancouver area to assess the distribution and transport of tropospheric ozone. Wind flow and aerosol measurements were obtained with a pulsed CO(sub 2) Doppler lidar and wind fields and their interactions with the complex terrain were mapped. The combination of Doppler lidar measurements of wind velocity and backscattered signal intensity, obtained simultaneously, will help identify wind flow patterns that enhanced the transport of urban pollution from the city of Vancouver to the Lower Fraser River Valley, and the possible recirculation of these pollutants back into Vancouver.

  15. Horizontal-Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures

    SciTech Connect (OSTI)

    Pichugina, Yelena L.; Banta, Robert M.; Kelley, Neil D.; Jonkman, Bonnie J.; Tucker, Sara C.; Newsom, Rob K.; Brewer, W. A.

    2008-08-01

    Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--has been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAAs High Resolution Doppler Lidar (HRDL), which have been shown to be numerically equivalent to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance ?u2 were computed from HRDL measurements of the line-of-sight (LOS) velocity using a technique described in Banta, et al. (2002). The technique was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. It then describes several series of averaging tests that produced the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal velocity variance ?u2. The results show high correlation (0.71-0.97) of the mean U and average wind speed measured by sodar and in-situ instruments, independent of sampling strategies and averaging procedures. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging techniques.

  16. The probability of laser caused ocular injury to the aircrew of undetected aircraft violating the exclusion zone about the airborne aura LIDAR.

    SciTech Connect (OSTI)

    Augustoni, Arnold L.

    2006-12-01

    The probability of a laser caused ocular injury, to the aircrew of an undetected aircraft entering the exclusion zone about the AURA LIDAR airborne platform with the possible violation of the Laser Hazard Zone boundary, was investigated and quantified for risk analysis and management.

  17. LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011

    SciTech Connect (OSTI)

    Dunne, F.; Simley, E.; Pao, L.Y.

    2011-10-01

    This report examines the accuracy of measurements that rely on Doppler LIDAR systems to determine their applicability to wind turbine feed-forward control systems and discusses feed-forward control system designs that use preview wind measurements. Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feed-forward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. The first half of this report examines the accuracy of different measurement scenarios that rely on coherent continuous-wave or pulsed Doppler LIDAR systems to determine their applicability to feed-forward control. In particular, the impacts of measurement range and angular offset from the wind direction are studied for various wind conditions. A realistic case involving a scanning LIDAR unit mounted in the spinner of a wind turbine is studied in depth with emphasis on choices for scan radius and preview distance. The effects of turbulence parameters on measurement accuracy are studied as well. Continuous-wave and pulsed LIDAR models based on typical commercially available units were used in the studies present in this report. The second half of this report discusses feed-forward control system designs that use preview wind measurements. Combined feedback/feed-forward blade pitch control is compared to industry standard feedback control when simulated in realistic turbulent above-rated winds. The feed-forward controllers are designed to reduce fatigue loads, increasing turbine lifetime and therefore reducing the cost of energy. Three feed-forward designs are studied: non-causal series expansion, Preview Control, and optimized FIR filter. The input to the feed-forward controller is a measurement of incoming wind speeds that could be provided by LIDAR. Non-causal series expansion and Preview Control methods reduce blade root loads but increase tower bending in simulation results. The optimized FIR filter reduces loads overall, keeps pitch rates low, and maintains rotor speed regulation and power capture, while using imperfect wind measurements provided by the spinning continuous-wave LIDAR model.

  18. 1

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

    Optical Depth Retrievals from Solar Background "Signal" of Micropulse Lidars W.J. Wiscombe and A. Marshak Climate and Radiation Branch National Aeronautics and Space Agency/Goddard Space Flight Center Greenbelt, Maryland J.C. Chiu Joint Center for Earth Systems Technology University of Maryland Baltimore County Baltimore, Maryland E.J. Welton Mesoscale Atmospheric Processes Branch National Aeronautics and Space Agency/Goddard Space Flight Center Greenbelt, Maryland S.C. Valencia

  19. ARM - Facility News Article

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

    10, 2010 [Facility News] Supporting Science at Summit Station, Greenland Bookmark and Share This month, an ARM micropulse lidar and ceilometer began collecting data from Summit Station in Greenland as part of the ICECAPS field campaign that runs through October 2014. Scientist Matthew Shupe joined colleagues on location to install the ICECAPS mobile laboratory, documenting their progress through his field blog. Great job, Matt! Visit the campaign website for more information

  20. ARM - Publications: Science Team Meeting Documents

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

    Micropulse Lidar Slant Sensing Retrieval of Aerosol Optical Properties Powell, D.M., and Reagan, J.A., University of Arizona; Spinhirne, J.D., National Aeronautics and Space Administration-Goddard Space Flight Center; Campbell, J.R., and Hlavka, D.L., Science Systems and Applications Inc.; Ferrare, R.A., National Aeronautics and Space Administration-Langley Research Center; Turner, D.D., Flynn, C.J., and Mendosa, A., Pacific Northwest National Laboratory Ninth Atmospheric Radiation Measurement

  1. mather-99.PDF

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

    Cloud Properties Derived from the Manus Micropulse Lidar with ECMWF Analyses J. H. Mather and T. P. Ackerman Department of Meteorology The Pennsylvania State University University Park, Pennsylvania Introduction Clouds in the tropics are an ever-present feature and their vertical and temporal distributions are very complex. The Tropical Western Pacific (TWP) is characterized by warm sea surface temperatures and frequent convection. This convection occurs on a wide range of scales, from hundreds

  2. ARM - VAP Process - mplcmask

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

    Productsmplcmask Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Cloud mask from Micropulse Lidar (MPLCMASK) Instrument Categories Cloud Properties Sample plot generated by MPLCMASK. Click to enlarge the image. Sample plot generated by MPLCMASK. Click to enlarge the image. An operational cloud boundary algorithm has been

  3. Investigating wind turbine impacts on near-wake flow using profiling Lidar data and large-eddy simulations with an actuator disk model

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

    Mirocha, Jeffrey D.; Rajewski, Daniel A.; Marjanovic, Nikola; Lundquist, Julie K.; Kosovic, Branko; Draxl, Caroline; Churchfield, Matthew J.

    2015-08-27

    In this study, wind turbine impacts on the atmospheric flow are investigated using data from the Crop Wind Energy Experiment (CWEX-11) and large-eddy simulations (LESs) utilizing a generalized actuator disk (GAD) wind turbine model. CWEX-11 employed velocity-azimuth display (VAD) data from two Doppler lidar systems to sample vertical profiles of flow parameters across the rotor depth both upstream and in the wake of an operating 1.5 MW wind turbine. Lidar and surface observations obtained during four days of July 2011 are analyzed to characterize the turbine impacts on wind speed and flow variability, and to examine the sensitivity of thesemore » changes to atmospheric stability. Significant velocity deficits (VD) are observed at the downstream location during both convective and stable portions of four diurnal cycles, with large, sustained deficits occurring during stable conditions. Variances of the streamwise velocity component, σu, likewise show large increases downstream during both stable and unstable conditions, with stable conditions supporting sustained small increases of σu , while convective conditions featured both larger magnitudes and increased variability, due to the large coherent structures in the background flow. Two representative case studies, one stable and one convective, are simulated using LES with a GAD model at 6 m resolution to evaluate the compatibility of the simulation framework with validation using vertically profiling lidar data in the near wake region. Virtual lidars were employed to sample the simulated flow field in a manner consistent with the VAD technique. Simulations reasonably reproduced aggregated wake VD characteristics, albeit with smaller magnitudes than observed, while σu values in the wake are more significantly underestimated. The results illuminate the limitations of using a GAD in combination with coarse model resolution in the simulation of near wake physics, and validation thereof using VAD data.« less

  4. Wide-angle imaging LIDAR (WAIL): a ground-based instrument for monitoring the thickness and density of optically thick clouds.

    SciTech Connect (OSTI)

    Love, Steven P.; Davis, A. B.; Rohde, C. A.; Ho, Cheng,

    2001-01-01

    Traditional lidar provides little information on dense clouds beyond the range to their base (ceilometry), due to their extreme opacity. At most optical wavelengths, however, laser photons are not absorbed but merely scattered out of the beam, and thus eventually escape the cloud via multiple scattering, producing distinctive extended space- and time-dependent patterns which are, in essence, the cloud's radiative Green functions. These Green functions, essentially 'movies' of the time evolution of the spatial distribution of escaping light, are the primary data products of a new type of lidar: Wide Angle Imaging Lidar (WAIL). WAIL data can be used to infer both optical depth and physical thickness of clouds, and hence the cloud liquid water content. The instrumental challenge is to accommodate a radiance field varying over many orders of magnitude and changing over widely varying time-scales. Our implementation uses a high-speed microchannel plate/crossed delay line imaging detector system with a 60-degree full-angle field of view, and a 532 nm doubled Nd:YAG laser. Nighttime field experiments testing various solutions to this problem show excellent agreement with diffusion theory, and retrievals yield plausible values for the optical and geometrical parameters of the observed cloud decks.

  5. Horizontal Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures

    SciTech Connect (OSTI)

    Pichugina, Y. L.; Banta, R. M.; Kelley, N. D.; Jonkman, B. J.; Tucker, S. C.; Newsom, R. K.; Brewer, W. A.

    2008-08-01

    Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--have been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA's high-resolution Doppler lidar (HRDL), which have been shown to be approximately equal to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance {sigma}2u were computed from HRDL measurements of the line-of-sight (LOS) velocity using a method described by Banta et al., which uses an elevation (vertical slice) scanning technique. The method was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. The results for the mean U and mean wind speed measured by sodar and in situ instruments for all nights of LLLJP show high correlation (0.71-0.97), independent of sampling strategies and averaging procedures, and correlation coefficients consistently >0.9 for four high-wind nights, when the low-level jet speeds exceeded 15 m s{sup -1} at some time during the night. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging parameters. Several series of averaging tests are described, to find the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal-velocity variance {sigma}{sup 2}{sub u}. Because of the nonstationarity of the SBL data, the best results were obtained when the velocity data were first averaged over intervals of 1 min, and then further averaged over 3-15 consecutive 1-min intervals, with best results for the 10- and 15-min averaging periods. For these cases, correlation coefficients exceeded 0.9. As a part of the analysis, Eulerian integral time scales ({tau}) were estimated for the four high-wind nights. Time series of {tau} through each night indicated erratic behavior consistent with the nonstationarity. Histograms of {tau} showed a mode at 4-5 s, but frequent occurrences of larger {tau} values, mostly between 10 and 100 s.

  6. On the relationship among cloud turbulence, droplet formation and drizzle as viewed by Doppler radar, microwave radiometer and lidar

    SciTech Connect (OSTI)

    Feingold, G.; Frisch, A.S.; Cotton, W.R.

    1999-09-01

    Cloud radar, microwave radiometer, and lidar remote sensing data acquired during the Atlantic Stratocumulus Transition Experiment (ASTEX) are analyzed to address the relationship between (1) drop number concentration and cloud turbulence as represented by vertical velocity and vertical velocity variance and (2) drizzle formation and cloud turbulence. Six cases, each of about 12 hours duration, are examined; three of these cases are characteristic of nondrizzling boundary layers and three of drizzling boundary layers. In all cases, microphysical retrievals are only performed when drizzle is negligible (radar reflectivity{lt}{minus}17dBZ). It is shown that for the cases examined, there is, in general, no correlation between drop concentration and cloud base updraft strength, although for two of the nondrizzling cases exhibiting more classical stratocumulus features, these two parameters are correlated. On drizzling days, drop concentration and cloud-base vertical velocity were either not correlated or negatively correlated. There is a significant positive correlation between drop concentration and mean in-cloud vertical velocity variance for both nondrizzling boundary layers (correlation coefficient r=0.45) and boundary layers that have experienced drizzle (r=0.38). In general, there is a high correlation (r{gt}0.5) between radar reflectivity and in-cloud vertical velocity variance, although one of the boundary layers that experienced drizzle exhibited a negative correlation between these parameters. However, in the subcloud region, all boundary layers that experienced drizzle exhibit a negative correlation between radar reflectivity and vertical velocity variance. {copyright} 1999 American Geophysical Union

  7. Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances

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

    Fielding, M. D.; Chiu, J. C.; Hogan, R. J.; Feingold, G.; Eloranta, E.; O'Connor, E. J.; Cadeddu, M. P.

    2015-02-16

    Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar reflectivity. We present a new method to simultaneously retrieve cloud and drizzle vertical profiles in drizzling boundary-layer cloud using surface-based observations of radar reflectivity, lidar attenuated backscatter, and zenith radiances. Specifically, the vertical structure of droplet size and water content of both cloud and drizzle is characterised throughout the cloud. An ensemble optimal estimation approach provides full error statistics given the uncertainty in the observations. To evaluate the new method, we first perform retrievals using synthetic measurements from large-eddy simulation snapshots of cumulusmore » under stratocumulus, where cloud water path is retrieved with an error of 31 g m−2. The method also performs well in non-drizzling clouds where no assumption of the cloud profile is required. We then apply the method to observations of marine stratocumulus obtained during the Atmospheric Radiation Measurement MAGIC deployment in the northeast Pacific. Here, retrieved cloud water path agrees well with independent 3-channel microwave radiometer retrievals, with a root mean square difference of 10–20 g m−2.« less

  8. Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances

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

    Fielding, M. D.; Chiu, J. C.; Hogan, R. J.; Feingold, G.; Eloranta, E.; O'Connor, E. J.; Cadeddu, M. P.

    2015-07-02

    Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar reflectivity. We present a new method to simultaneously retrieve cloud and drizzle vertical profiles in drizzling boundary-layer clouds using surface-based observations of radar reflectivity, lidar attenuated backscatter, and zenith radiances under conditions when precipitation does not reach the surface. Specifically, the vertical structure of droplet size and water content of both cloud and drizzle is characterised throughout the cloud. An ensemble optimal estimation approach provides full error statistics given the uncertainty in the observations. To evaluate the new method, we first perform retrievalsmore » using synthetic measurements from large-eddy simulation snapshots of cumulus under stratocumulus, where cloud water path is retrieved with an error of 31 g m-2. The method also performs well in non-drizzling clouds where no assumption of the cloud profile is required. We then apply the method to observations of marine stratocumulus obtained during the Atmospheric Radiation Measurement MAGIC deployment in the Northeast Pacific. Here, retrieved cloud water path agrees well with independent three-channel microwave radiometer retrievals, with a root mean square difference of 10–20 g m-2.« less

  9. mitrescu-c revised

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

    1 LIRAD Analysis of Equatorial Cirrus at the TWP (Manus Island and Nauru) CART Sites C. Mitrescu, R. T. Austin, C.M.R. Platt, and G. L. Stephens Colorado State University Fort Collins, Colorado Introduction The purpose of this work is to obtain high-cloud emittance and optical depth over the Tropical Western Pacific (TWP) (Manus Island and Nauru) Cloud and Radiation Testbed (CART) sites on a routine basis using the lidar/radiometer (LIRAD) method. Current operation of the micropulse lidar

  10. A frequency-agile lidar for simultaneous measurement of temperature and radial wind in the mesopause region without sodium density contamination

    SciTech Connect (OSTI)

    White, M.; Golias, D.; Krueger, D.A.; She, C.Y.

    1996-12-31

    With early and ongoing climatological surveys established, continuing observations of the mesopause region over Fort Collins, Colorado are discussed, emphasizing the modification of Colorado State University`s two frequency lidar for simultaneous measurement of temperature vis Doppler Broadening and radial wind via Doppler shift. The application of a frequency-agile, tandem acousto-optical modulator system for three-frequency temperature/wind measurements free of contamination from atmospheric Na density fluctuations, as well as frequency characterization of this new apparatus, and future applications are considered.

  11. The Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured Fluxes and Lidar/Radar Profiles at SIRTA Atmospheric Observatory

    SciTech Connect (OSTI)

    Chiriaco, M.; Vautard, R.; Chepfer, H.; Haeffelin, M.; Wanherdrick, Y.; Morille, Y.; Protat, A.; Dudhia, J.

    2005-03-18

    Ice clouds play a major role in the radiative energy budget of the Earth-atmosphere system (Liou 1986). Their radiative effect is governed primarily by the equilibrium between their albedo and greenhouse effects. Both macrophysical and microphysical properties of ice clouds regulate this equilibrium. For quantifying the effect of these clouds onto climate and weather systems, they must be properly characterized in atmospheric models. In this paper we use remote-sensing measurements from the SIRTA ground based atmospheric observatory (Site Instrumental de Recherche par Teledetection Atmospherique, http://sirta.lmd.polytechnique.fr). Lidar and radar observations taken over 18 months are used, in order to gain statistical confidence in the model evaluation. Along this period of time, 62 days are selected for study because they contain parts of ice clouds. We use the ''model to observations'' approach by simulating lidar and radar signals from MM5 outputs. Other more classical variables such as shortwave and longwave radiative fluxes are also used. Four microphysical schemes, among which that proposed by Reisner et al. (1998) with original or modified parameterizations of particle terminal fall velocities (Zurovac-Jevtic and Zhang 2003, Heymsfield and Donner 1990), and the simplified Dudhia (1989) scheme are evaluated in this study.

  12. The Mid-Latitude Continental Convective Clouds Experiment (MC3E)

    SciTech Connect (OSTI)

    Petersen,W.; Jensen,M.; Genio, A. D.; Giangrande, S.; Heymsfield, A.; Heymsfield, G.; Hou, A.; Kollias, P.; Orr, B.; Rutledge, S.; Schwaller, M.; Zipser, E.

    2010-03-15

    The Midlatitude Continental Convective Cloud Experiment (MC3E) will take place in central Oklahoma during the April-May 2011 period. The experiment is a collaborative effort between the U.S. Department of Energy Atmospheric Radition Measurement Program and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation program. The Intensive Observation Period leverages the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal is to provide the most complete characterization of convective cloud systems, precipitation and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall observations over land that have never before been available. Several different components of convective processes tangible to the convective parameterization problem are targeted such as, pre-convective environment and convective initiation, updraft / downdraft dynamics, condensate transport and detrainment, precipitation and cloud microphysics, influence on the environment and radiation and a detailed description of the large-scale forcing. MC3E will use a new multi-scale observing strategy with the participation of a network of distributed sensors (both passive and active). The approach is to document in 3-D not only the full spectrum of precipitation rates, but also clouds, winds and moisture in an attempt to provide a holistic view of convective clouds and their feedback with the environment. A goal is to measure cloud and precipitation transitions and environmental quantities that are important for satellite retrieval algorithms, convective parameterization in large-scale models and cloud-resolving model simulations. This will be accomplished through the deployment of several different elements that complement the existing (and soon to become available) ARM facilities: a network of radiosonde stations, NASA scanning multi-frequency/parameter radar systems at three different frequencies (Ka/Ku/S), high-altitude remote sensing and in situ aircraft, wind profilers and a network of surface disdrometers. In addition to these special MC3E instruments, there will be important new instrumentation deployed by DOE at the ARM site including: 3 networked scanning X-band radar systems, a C-band scanning radar, a dual wavelength (Ka/W) scanning cloud radar, a Doppler lidar and upgraded vertically pointing millimeter cloud radar (MMCR) and micropulse lidar (MPL).To fully describe the properties of precipitating cloud systems, both in situ and remote sensing airborne observations are necessary. The NASA GPM-funded University of North Dakota (UND) Citation will provide in situ observations of precipitation-sized particles, ice freezing nuclei and aerosol concentrations. As a complement to the UND Citation's in situ observations, the NASA ER-2 will provide a high altitude satellite simulator platform that carrying a Ka/Ku band radar and passive microwave radiometers (10-183 GHZ).

  13. Using Radar, Lidar, and Radiometer measurements to Classify Cloud Type and Study Middle-Level Cloud Properties

    SciTech Connect (OSTI)

    Wang, Zhien

    2010-06-29

    The project is mainly focused on the characterization of cloud macrophysical and microphysical properties, especially for mixed-phased clouds and middle level ice clouds by combining radar, lidar, and radiometer measurements available from the ACRF sites. First, an advanced mixed-phase cloud retrieval algorithm will be developed to cover all mixed-phase clouds observed at the ACRF NSA site. The algorithm will be applied to the ACRF NSA observations to generate a long-term arctic mixed-phase cloud product for model validations and arctic mixed-phase cloud processes studies. To improve the representation of arctic mixed-phase clouds in GCMs, an advanced understanding of mixed-phase cloud processes is needed. By combining retrieved mixed-phase cloud microphysical properties with in situ data and large-scale meteorological data, the project aim to better understand the generations of ice crystals in supercooled water clouds, the maintenance mechanisms of the arctic mixed-phase clouds, and their connections with large-scale dynamics. The project will try to develop a new retrieval algorithm to study more complex mixed-phase clouds observed at the ACRF SGP site. Compared with optically thin ice clouds, optically thick middle level ice clouds are less studied because of limited available tools. The project will develop a new two wavelength radar technique for optically thick ice cloud study at SGP site by combining the MMCR with the W-band radar measurements. With this new algorithm, the SGP site will have a better capability to study all ice clouds. Another area of the proposal is to generate long-term cloud type classification product for the multiple ACRF sites. The cloud type classification product will not only facilitates the generation of the integrated cloud product by applying different retrieval algorithms to different types of clouds operationally, but will also support other research to better understand cloud properties and to validate model simulations. The ultimate goal is to improve our cloud classification algorithm into a VAP.

  14. An Evaluation of Mesoscale Model Predictions of Down-Valley and Canyon Flows and Their Consequences Using Doppler Lidar Measurements During VTMX 2000

    SciTech Connect (OSTI)

    Fast, Jerome D.; Darby, Lisa S.

    2004-04-01

    A mesoscale model, a Lagrangian particle dispersion model, and extensive Doppler lidar wind measurements during the VTMX 2000 field campaign were used to examine converging flows over the Salt Lake Valley and their effect on vertical mixing of tracers at night and during the morning transition period. The simulated wind components were transformed into radial velocities to make a direct comparison with about 1.3 million Doppler lidar data points and critically evaluate, using correlation coefficients, the spatial variations in the simulated wind fields aloft. The mesoscale model captured reasonably well the general features of the observed circulations including the daytime up-valley flow, the nighttime slope, canyon, and down-valley flows, and the convergence of the flows over the valley. When there were errors in the simulated wind fields, they were usually associated with the timing, structure, or strength of specific flows. Simulated outflows from canyons along the Wasatch Mountains propagated over the valley and converged with the down-valley flow, but the advance and retreat of these simulated flows was often out of phase with the lidar measurements. While the flow reversal during the evening transition period produced rising motions over much of the valley atmosphere in the absence of significant ambient winds, average vertical velocities became close to zero as the down-valley flow developed. Still, vertical velocities between 5 and 15 cm s-1 occurred where down-slope, canyon and down-valley flows converged and vertical velocities greater than 50 cm s-1 were produced by hydraulic jumps at the base of the canyons. The presence of strong ambient winds resulted in smaller average rising motions during the evening transition period and larger average vertical velocities after that. A fraction of the tracer released at the surface was transported up to the height of the surrounding mountains; however, higher concentrations were produced aloft for evenings characterized by well-developed drainage circulations. Simulations with and without vertical motions in the particle model produced large differences in the tracer concentrations at specific locations and times; however, the overall ventilation of the valley atmosphere differed by only 5% or less. Despite the atmospheric stability, turbulence produced by vertical wind shears mixed particles well above the surface stable layer for the particle model simulation without vertical motions.

  15. Overview of the first Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) experiment: Conversion of a ground-based lidar for airborne applications

    SciTech Connect (OSTI)

    Howell, J.N.; Hardesty, R.M.; Rothermel, J.; Menzies, R.T.

    1996-12-31

    The first Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) field experiment demonstrated an airborne high energy TEA CO{sub 2} Doppler lidar system for measurement of atmospheric wind fields and aerosol structure. The system was deployed on the NASA DC-8 during September 1995 in a series of checkout flights to observe several important atmospheric phenomena, including upper level winds in a Pacific hurricane, marine boundary layer winds, cirrus cloud properties, and land-sea breeze structure. The instrument, with its capability to measure three-dimensional winds and backscatter fields, promises to be a valuable tool for climate and global change, severe weather, and air quality research. In this paper, the authors describe the airborne instrument, assess its performance, discuss future improvements, and show some preliminary results from September experiments.

  16. High Spectral Resolution Infrared and Raman Lidar Observations for the ARM Program: Clear and Cloudy Sky Applications

    SciTech Connect (OSTI)

    Henry Revercomb, David Tobin, Robert Knuteson, Lori Borg, Leslie Moy

    2009-06-17

    This grant began with the development of the Atmospheric Emitted Radiance Interferometer (AERI) for ARM. The AERI has provided highly accurate and reliable observations of downwelling spectral radiance (Knuteson et al. 2004a, 2004b) for application to radiative transfer, remote sensing of boundary layer temperature and water vapor, and cloud characterization. One of the major contributions of the ARM program has been its success in improving radiation calculation capabilities for models and remote sensing that evolved from the multi-year, clear-sky spectral radiance comparisons between AERI radiances and line-by-line calculations (Turner et al. 2004). This effort also spurred us to play a central role in improving the accuracy of water vapor measurements, again helping ARM lead the way in the community (Turner et al. 2003a, Revercomb et al. 2003). In order to add high-altitude downlooking AERI-like observations over the ARM sites, we began the development of an airborne AERI instrument that has become known as the Scanning High-resolution Interferometer Sounder (Scanning-HIS). This instrument has become an integral part of the ARM Unmanned Aerospace Vehicle (ARM-UAV) program. It provides both a cross-track mapping view of the earth and an uplooking view from the 12-15 km altitude of the Scaled Composites Proteus aircraft when flown over the ARM sites for IOPs. It has successfully participated in the first two legs of the grand tour of the ARM sites (SGP and NSA), resulting in a very good comparison with AIRS observations in 2002 and in an especially interesting data set from the arctic during the Mixed-Phase Cloud Experiment (M-PACE) in 2004. More specifically, our major achievements for ARM include 1. Development of the Atmospheric Emitted Radiance Interferometer (AERI) to function like a satellite on the ground for ARM, providing a steady stream of accurately calibrated spectral radiances for Science Team clear sky and cloud applications (Knuteson et al. 2004a), 2. Detailed radiometric calibration and characterization of AERI radiances, with uncertainty estimates established from complete error analyses and proven by inter-comparison tests (Knuteson et al. 2004b), 3. AERI data quality assessment and maintenance over the extended time frames needed to support ARM (Dedecker et al., 2005) 4. Key role in the radiative transfer model improvements from the AERI/LBLRTM QME (Turner et al. 2004) and AERI-ER especially from the SHEBA experiment (Tobin et al. 1999), 5. Contributed scientific and programmatic leadership leading to significant water vapor accuracy improvements and uncertainty assessments for the low to mid troposphere (Turner et al. 2003a, Revercomb et al. 2003), 6. Leadership of the ARM assessment of the accuracy of water vapor observations from radiosondes, Raman Lidar and in situ aircraft observations in the upper troposphere and lower stratosphere (Tobin et al. 2002, Ferrare et al. 2004), 7. New techniques for characterizing clouds from AERI (DeSlover et al. 1999, Turner 2003b, Turner et al. 2003b), 8. Initial design and development of the Scanning-HIS aircraft instrument and application to ARM UAV Program missions (Revercomb et al. 2005), and 9. Coordinated efforts leading to the use of ARM observations as a key validation tool for the high resolution Atmospheric IR Sounder on the NASA Aqua platform (Tobin et al. 2005a) 10. Performed ARM site and global clear sky radiative closure studies that shows closure of top-of-atmosphere flux at the level of ~1 W/m2 (Moy et al 2008 and Section 3 of this appendix) 11. Performed studies to characterize SGP site cirrus cloud property retrievals and assess impacts on computed fluxes and heating rate profiles (Borg et al. 2008 and Section 2 of this appendix).

  17. Raman Lidar Receives Improvements

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

    at the SGP central facility is receiving upgrades to its environmental controls. This ground-based remote sensing instrument uses a laser to measure vertical profiles of water...

  18. ARM Raman Lidar Applications

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

    Applications - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  19. ARM Raman Lidar Development

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

    Development - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  20. Analysis of CASES-99 Lidar and Turbulence Data in Support of Wind Turbine Effects: April 1, 2001 to Januay 31, 2003

    SciTech Connect (OSTI)

    Banta, R. M.

    2003-06-01

    The nocturnal low-level jet (LLJ) of the Great Plains of the central United States has been identified as a promising source of high-momentum wind flow for wind energy. The acceleration of the winds after sunset above the surface produces a jet profile in the wind velocity, with maximum speeds that often exceed 10 m s-1 or more at heights near 100 m or more. These high wind speeds are advantageous for wind energy generation. The high speeds aloft, however, also produce a region of high shear between the LLJ and the earth's surface, where the nocturnal flow is often calm or nearly so. This shear zone below the LLJ generates atmospheric waves and turbulence that can cause strong vibration in the turbine rotors. It has been suggested that these vibrations contribute to premature failures in large wind turbines, which, of course, would be a considerable disadvantage for wind energy applications. In October 1999, a field project called the Cooperative Atmosphere-Surface Exchange Study 1999 campaign, or CASES-99, was conducted in southeastern Kansas to study the nocturnal stable boundary layer. One of the instruments deployed during CASES-99 was the High-Resolution Doppler Lidar, a new scanning, remote-sensing, wind-mapping instrument.

  1. ARM - VAP Product - arscl1cloth

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

    Productsarsclarscl1cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027282 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example arscl1cloth Data Plot Example arscl1cloth data plot VAP Output : ARSCL1CLOTH ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR Active Dates

  2. ARM - VAP Product - arsclbnd1cloth

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

    Productsarsclarsclbnd1cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027283 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARSCLBND1CLOTH ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR Active Dates 1996.11.08 - 2011.03.23 Originating VAP Process Active

  3. ARM - VAP Product - arsclcbh1cloth

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

    Productsarsclarsclcbh1cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027284 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARSCLCBH1CLOTH ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR Active Dates 1996.11.08 - 2011.03.23 Originating VAP Process Active

  4. ARM - Publications: Science Team Meeting Documents

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

    Sizes, Fractional Coverage, and Radar Doppler Moments Profiles of Fair-Weather Cumulus Clouds at the TWP ARM Site Kollias, P., Albrecht B.A., and Dow B.J., University of Miami Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting Fair-weather cumuli are fundamental in regulating the vertical structure of water vapor and entropy in the lowest 2 km of the Earth's atmosphere over vast areas of the oceans. Using data from the mm-wavelength cloud radar, the micro-pulse lidar and

  5. ARM - VAP Process - wacrarscl

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

    Productswacrarscl Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : W-band Cloud Radar Active Remote Sensing of Cloud (WACRARSCL) Instrument Categories Cloud Properties Observations from the 95 GHz W-band ARM Cloud Radar (WACR), Micropulse Lidar, and ceilometer have been combined using the new WACR Active Remote Sensing of Clouds (WACR-ARSCL)

  6. Using Radar, Lidar and Radiometer Data from NSA and SHEBA to Quantify Cloud Property Effects on the Surface Heat Budget in the Arctic

    SciTech Connect (OSTI)

    Janet Intrieri; Mathhew Shupe

    2005-01-01

    Cloud and radiation data from two distinctly different Arctic areas are analyzed to study the differences between coastal Alaskan and open Arctic Ocean region clouds and their respective influence on the surface radiation budget. The cloud and radiation datasets were obtained from (1) the DOE North Slope of Alaska (NSA) facility in the coastal town of Barrow, Alaska, and (2) the SHEBA field program, which was conducted from an icebreaker frozen in, and drifting with, the sea-ice for one year in the Western Arctic Ocean. Radar, lidar, radiometer, and sounding measurements from both locations were used to produce annual cycles of cloud occurrence and height, atmospheric temperature and humidity, surface longwave and shortwave broadband fluxes, surface albedo, and cloud radiative forcing. In general, both regions revealed a similar annual trend of cloud occurrence fraction with minimum values in winter (60-75%) and maximum values during spring, summer and fall (80-90%). However, the annual average cloud occurrence fraction for SHEBA (76%) was lower than the 6-year average cloud occurrence at NSA (92%). Both Arctic areas also showed similar annual cycle trends of cloud forcing with clouds warming the surface through most of the year and a period of surface cooling during the summer, when cloud shading effects overwhelm cloud greenhouse effects. The greatest difference between the two regions was observed in the magnitude of the cloud cooling effect (i.e., shortwave cloud forcing), which was significantly stronger at NSA and lasted for a longer period of time than at SHEBA. This is predominantly due to the longer and stronger melt season at NSA (i.e., albedo values that are much lower coupled with Sun angles that are somewhat higher) than the melt season observed over the ice pack at SHEBA. Longwave cloud forcing values were comparable between the two sites indicating a general similarity in cloudiness and atmospheric temperature and humidity structure between the two regions.

  7. Microsoft PowerPoint - 11_Flynn_AWG_VAP_Review4SSC.ppt [Compatibility Mode]

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

    AWG Review of VAP Priorities f S S t C itt for SunSet Committee Translator: Connor Flynn Developers: Annette Koontz, Chitra Sivaraman p , Several AWG VAP Families * MFRSR and NIMFR AOD Family * AOS and IAP Family AOS and IAP Family * The Raman Lidar Family Th A l "B E i " d * The Aerosol "Best-Estimate" product * MPL Family MFRSR and NIMFR AOD Family * Complete traceability of all corrections - Offsets compensation Offsets compensation - Gain and nominal calibration - Cosine

  8. Microtopographic characterization of ice-wedge polygon landscape in Barrow, Alaska: a digital map of troughs, rims, centers derived from high resolution (0.25 m) LiDAR data

    SciTech Connect (OSTI)

    Gangodagamage, Chandana; Wullschleger, Stan

    2014-07-03

    The dataset represents microtopographic characterization of the ice-wedge polygon landscape in Barrow, Alaska. Three microtopographic features are delineated using 0.25 m high resolution digital elevation dataset derived from LiDAR. The troughs, rims, and centers are the three categories in this classification scheme. The polygon troughs are the surface expression of the ice-wedges that are in lower elevations than the interior polygon. The elevated shoulders of the polygon interior immediately adjacent to the polygon troughs are the polygon rims for the low center polygons. In case of high center polygons, these features are the topographic highs. In this classification scheme, both topographic highs and rims are considered as polygon rims. The next version of the dataset will include more refined classification scheme including separate classes for rims ad topographic highs. The interior part of the polygon just adjacent to the polygon rims are the polygon centers.

  9. Radiative Energy Balance in the Tropical Tropopause Layer: An Investigation with ARM Data

    SciTech Connect (OSTI)

    Fu, Qiang

    2013-10-22

    The overall objective of this project is to use the ARM observational data to improve our understanding of cloud-radiation effects in the tropical tropopause layer (TTL), which is crucial for improving the simulation and prediction of climate and climate change. In last four and half years, we have been concentrating on (i) performing the comparison of the ice cloud properties from the ground-based lidar observations with those from the satellite CALIPSO lidar observations at the ARM TWP sites; (ii) analyzing TTL cirrus and its relation to the tropical planetary waves; (iii) calculating the radiative heating rates using retrieved cloud microphysical properties by combining the ground-based lidar and radar observations at the ARM TWP sites and comparing the results with those using cloud properties retrieved from CloudSat and CALIPSO observations; (iv) comparing macrophysical properties of tropical cirrus clouds from the CALIPSO satellite and from ground-based micropulse and Raman lidar observations; (v) improving the parameterization of optical properties of cirrus clouds with small effective ice particle sizes; and (vi) evaluating the enhanced maximum warming in the tropical upper troposphere simulated by the GCMs. The main results of our research efforts are reported in the 12 referred journal publications that acknowledge the DOE Grant No. DE-FG02-09ER64769.

  10. Development and Deployment of a Compact Eye-Safe Scanning Differential absorption Lidar (DIAL) for Spatial Mapping of Carbon Dioxide for Monitoring/Verification/Accounting at Geologic Sequestration Sites

    SciTech Connect (OSTI)

    Repasky, Kevin

    2014-03-31

    A scanning differential absorption lidar (DIAL) instrument for monitoring carbon dioxide has been developed. The laser transmitter uses two tunable discrete mode laser diodes (DMLD) operating in the continuous wave (cw) mode with one locked to the online absorption wavelength and the other operating at the offline wavelength. Two in-line fiber optic switches are used to switch between online and offline operation. After the fiber optic switch, an acousto- optic modulator (AOM) is used to generate a pulse train used to injection seed an erbium doped fiber amplifier (EDFA) to produce eye-safe laser pulses with maximum pulse energies of 66 {micro}J, a pulse repetition frequency of 15 kHz, and an operating wavelength of 1.571 {micro}m. The DIAL receiver uses a 28 cm diameter Schmidt-Cassegrain telescope to collect that backscattered light, which is then monitored using a photo-multiplier tube (PMT) module operating in the photon counting mode. The DIAL instrument has been operated from a laboratory environment on the campus of Montana State University, at the Zero Emission Research Technology (ZERT) field site located in the agricultural research area on the western end of the Montana State University campus, and at the Big Sky Carbon Sequestration Partnership site located in north-central Montana. DIAL data has been collected and profiles have been validated using a co-located Licor LI-820 Gas Analyzer point sensor.

  11. Slide 1

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

    retrieved from the MPL by iterating extinction- backscatter ratio until MPL AOD matches MFRSR AOD for non-cloudy periods. *Cloudy periods identified by automated...

  12. ARM - Publications: Science Team Meeting Documents

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

    the MPL instrument configuration and data product development has been essentially static for the last five years. Meanwhile, as ARM's deployed MPL systems continue to age they...

  13. Research Highlight

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

    have a resolution of 30 meters. MPL's are deployed at all three Atmospheric Radiation Measurement (ARM) sites. The MPL analysis team has developed instrument correction and...

  14. LiDAR | Open Energy Information

    Open Energy Info (EERE)

    Area (Page, Et Al., 2010) Twenty-Nine Palms Geothermal Area Field Investigations And Temperature-Gradient Drilling At Marine Corps Air-Ground Combat Center (Mcagcc),...

  15. Sandia Multispectral Airborne Lidar for UAV Deployment

    SciTech Connect (OSTI)

    Daniels, J.W.; Hargis,Jr. P.J.; Henson, T.D.; Jordan, J.D.; Lang, A.R.; Schmitt, R.L.

    1998-10-23

    Sandia National Laboratories has initiated the development of an airborne system for W laser remote sensing measurements. System applications include the detection of effluents associated with the proliferation of weapons of mass destruction and the detection of biological weapon aerosols. This paper discusses the status of the conceptual design development and plans for both the airborne payload (pointing and tracking, laser transmitter, and telescope receiver) and the Altus unmanned aerospace vehicle platform. Hardware design constraints necessary to maintain system weight, power, and volume limitations of the flight platform are identified.

  16. Lidar for Turbine Control: March 1, 2005 - November 30, 2005

    SciTech Connect (OSTI)

    Harris, M.; Hand, M.; Wright, A.

    2006-01-01

    This study explores the potential of a turbine-mounted laser anemometer to enhance capabilities for wind energy production.

  17. LiDAR (Laney, 2005) | Open Energy Information

    Open Energy Info (EERE)

    in the near surface: Available technologies for monitoring CO2 in the near-surface environment include (1) the infrared gas analyzer (IRGA) for measurement of concentrations at...

  18. Posters Scanning Raman Lidar Measurements of Atmospheric Water...

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

    Program (ARM) is to develop a better understanding of the atmospheric radiative balance in order to improve the parameterization of radiative processes in general...

  19. LiDAR (Monaster And Coolbaugh, 2007) | Open Energy Information

    Open Energy Info (EERE)

    Activity Date Usefulness useful DOE-funding Unknown References Francis C. Monastero, Mark F. Coolbaugh (2007) Advances In Geothermal Resource Exploration Circa 2007 Additional...

  20. ARM - Field Campaign - Boundary Layer CO2 Using CW Lidar

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

    fiber lasers with advanced communication signal recovery techniques, ITT developed a new level of capability to detect small signals and reject common sources of noise, including...

  1. ARM - Publications: Science Team Meeting Documents

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

    MPL profiles where no significant cloud or aerosol return is evident above a few kilometers. It assumes that the scattering above this range is purely Rayleigh molecular...

  2. TC_CLOUD_REGIME.cdr

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

    intensity (e.g. May and Ballinger, 2007) Resulting Cloud Properties Examine rain DSD using polarimetric radar Examine ice cloud properties using MMCR and MPL Expect...

  3. Research Highlight

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

    real-time for the SGP and TWP MPL units. Solving this equation requires calibrating each system for signal and range dependent deadtime, afterpulse and overlap corrections....

  4. Research Highlight

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

    10.10022014JD023022. Figure 1. Two distinguished CBHs are defined by both ceilometer (black dots) and MPL (pink dots) measurements. Previous studies reveal the unique structure...

  5. Mini-PIC

    Energy Science and Technology Software Center (OSTI)

    2014-12-08

    Mini-PIC is an electrostatic particle-in-cell (PIC} testbed application for development of MPl+X applications on next generation platforms.

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

    SciTech Connect (OSTI)

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

    2011-02-01

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

  7. Directly driven source of multi-gigahertz, sub-picosecond optical pulses

    DOE Patents [OSTI]

    Messerly, Michael J.; Dawson, Jay W.; Barty, Christopher P.J.; Gibson, David J.; Prantil, Matthew A.; Cormier, Eric

    2015-10-20

    A robust, compact optical pulse train source is described, with the capability of generating sub-picosecond micro-pulse sequences, which can be periodic as well as non-periodic, and at repetition rates tunable over decades of baseline frequencies, from MHz to multi-GHz regimes. The micro-pulses can be precisely controlled and formatted to be in the range of many ps in duration to as short as several fs in duration. The system output can be comprised of a continuous wave train of optical micro-pulses or can be programmed to provide gated bursts of macro-pulses, with each macro-pulse consisting of a specific number of micro-pulses or a single pulse picked from the higher frequency train at a repetition rate lower than the baseline frequency. These pulses could then be amplified in energy anywhere from the nJ to MJ range.

  8. Lidar sensing of the atmosphere with gigawatt laser pulses of femtosecond duration

    SciTech Connect (OSTI)

    Bukin, O A; Golik, S S; Il'in, A A; Kulchin, Yu N; Lisitsa, V V; Shmirko, K A; Babii, M Yu; Kolesnikov, A V; Kabanov, A M; Matvienko, G G; Oshlakov, V K

    2014-06-30

    We present the results of sensing of the atmosphere in the condition of a transition 'continent – ocean' zone by means of gigawatt femtosecond pulses of the fundamental and second harmonics of a Ti : sapphire laser. In the regime of multi-frequency sensing (supercontinuum from the fundamental harmonic) the emission lines of the first positive system of the nitrogen molecule B{sup 3}Π{sub g} – A{sup 3}Σ{sub u}{sup +} have been recorded, while the sensing using of the second harmonic have revealed the possibility of detecting the lines of Raman scattering of nitrogen (λ = 441 nm). The intensity ratio of the line of Raman scattering of nitrogen and the line of elastic scattering at the wavelength of λ = 400 nm amounts to 5.6 × 10{sup -4}. (extreme light fields and their applications)

  9. LiDAR At Dixie Valley Geothermal Area (Helton, Et Al., 2011)...

    Open Energy Info (EERE)

    analyze faults in southern Dixie Valley. The study was done for the Department of the Navy Geothermal Program Office's NAS Fallon Geothermal Exploration Project. Notes High...

  10. Field Testing LIDAR Based Feed-Forward Controls on the NREL Controls Advanced Research Turbine: Preprint

    SciTech Connect (OSTI)

    Scholbrock, A. K.; Fleming, P. A.; Fingersh, L. J.; Wright, A. D.; Schlipf, D.; Haizmann, F.; Belen, F.

    2013-01-01

    Wind turbines are complex, nonlinear, dynamic systems driven by aerodynamic, gravitational, centrifugal, and gyroscopic forces. The aerodynamics of wind turbines are nonlinear, unsteady, and complex. Turbine rotors are subjected to a chaotic three-dimensional (3-D) turbulent wind inflow field with imbedded coherent vortices that drive fatigue loads and reduce lifetime. In order to reduce cost of energy, future large multimegawatt turbines must be designed with lighter weight structures, using active controls to mitigate fatigue loads, maximize energy capture, and add active damping to maintain stability for these dynamically active structures operating in a complex environment. Researchers at the National Renewable Energy Laboratory (NREL) and University of Stuttgart are designing, implementing, and testing advanced feed-back and feed-forward controls in order to reduce the cost of energy for wind turbines.

  11. LiDAR At Twenty-Nine Palms Area (Page, Et Al., 2010) | Open Energy...

    Open Energy Info (EERE)

    Howard Ross, Jeff Unruh, Michael Strane, Wei-Chuang Huang (2010) Field Investigations And Temperature-Gradient Drilling At Marine Corps Air-Ground Combat Center (Mcagcc),...

  12. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements

    SciTech Connect (OSTI)

    Lundquist, J. K.; Pukayastha, A.; St. Martin, C.; Newsom, R.

    2014-03-01

    Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of wind resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at approximately 1 km resolution in the finest nested simulation.

  13. Polarized Micro Pulse Lidars R. L. Coulter and T. J. Martin

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

    ... of Science, Office of Biological and Environmental Research, Clim ate Change Division under contract DE-ACO2-06CH11357 as part of the AtmosphericRadiation Measurements Program

  14. ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1)

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

    McCoy, Renata; Xie, Shaocheng

    Calculate monthly mean diurnal cycle based on the hourly CMBE data with qcflag >=-1 (>30% valid data within the averaged hour). For 2-D clouds, only data over the period when both MMCR and MPL were working are used.

  15. Revised for pdf of instruments 8.5x11 (2)

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

    RWP KAWSACR KAZR MPL MWRHF SASHE AERI SWS CSPHOT VCEIL MWR3C MWR TSI RSS PWD 10IRT 10MFR SWATS EBBR ORG DISDROMETER VDIS WBRG SUOMINET BRS-BSRN NIMFR MFRN1 SIRS MFR USDA ARRAY...

  16. Newsletter Southern Great Plains

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

    that uses small laser pulses to detect and measure the altitude of overhead clouds. Six MPL units are currently installed and collecting data at ACRF sites worldwide; one is...

  17. campbell-98.pdf

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

    upgrade (MPL002) followed in January 1996 improving data quality through an increase in signal strength by a factor of nearly 10. This system remains there to this day. At the...

  18. MiniAero

    Energy Science and Technology Software Center (OSTI)

    2014-07-15

    MiniAero is an MPl+X proxy app for gas dynamics problems. MiniAero can be used as a representative limited gas dynamics application to assess future computer architectures and programming models

  19. ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1)

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

    McCoy, Renata; Xie, Shaocheng

    2010-01-26

    Calculate monthly mean diurnal cycle based on the hourly CMBE data with qcflag >=-1 (>30% valid data within the averaged hour). For 2-D clouds, only data over the period when both MMCR and MPL were working are used.

  20. ARM - VAP Process - mplcbh

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

    Productsmplcbh Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Cloud Base Height from MPL Using Scott-Spinhirne Algorithm (MPLCBH) Instrument Categories Cloud Properties Output Products mplcbh1scott : MPL: cloud base heights using the Scott/Spinhirne algorithm Primary Measurements The following measurements are those considered

  1. PowerPoint Presentation

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

    using lidar and radar data Ed Eloranta University of Wis-Madison http:lidar.ssec.wisc.edu Lidar-Radar Measurement of Effective Diameter Radar scattering cross section ...

  2. cohn(2)-98.pdf

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

    resulting from non-flat topography. Included among the instruments were a high-resolution Doppler lidar (HRDL, Grund 1996), a dual wavelength backscatter lidar scanning aerosol...

  3. Research Highlight

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

    Letters 34, L22809, doi:10.10292007GL031008. Observations of (a) lidar backscatter, (b) lidar depolarization ratio, (c) radar reflectivity, (d) radar mean Doppler velocity, (e)...

  4. S. Crewell

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

    Extinction lidar-Ratio Temperature Humditiy profiling Apparatus (BERTHA) " WiLi (2.2 m Doppler Wind Lidar) Microwave Radiometer " MWRLOS (standard ARM 2-ch radiometer) " MWRP...

  5. 1

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

    aerosol extinction coefficient (lidar) and air temperature. Comparison of the vertical profiles obtained from onboard the aircraft and with the lidar show good...

  6. ARM - Facility News Article

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

    Performance of Lidar Makes Life "Easy" Bookmark and Share Scientists routinely use light detection and ranging (lidar) systems to obtain data about cloud and aerosol...

  7. ARM - Facility News Article

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

    later this year. Training on the new lidar covers installation, which is fairly straightforward, and the more complex repairs. Because the lidar is a sophisticated laser...

  8. Discussion Motivation

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

    radar and lidar, polarization sensitive, elastic and molecular lidars) - Solar and IR radiation measurements (radiance and irradiance direct and diffuse, broadband and...

  9. 1

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

    Lidar Measurements at the Atmospheric Radiation Measurement Program Southern Site D. ... The Atmospheric Radiation Measurement (ARM) program's Raman Lidar (CARL), located at the ...

  10. Device For Trapping Laser Pulses In An Optical Delay Line

    DOE Patents [OSTI]

    Yu, David U. L. (Rancho Palos Verdes, CA); Bullock, Donald L. (Los Angeles, CA)

    1997-12-23

    A device for maintaining a high-energy laser pulse within a recirculating optical delay line for a period time to optimize the interaction of the pulse with an electron beam pulse train comprising closely spaced electron micropulses. The delay line allows a single optical pulse to interact with many of the electron micropulses in a single electron beam macropulse in sequence and for the introduction of additional optical pulses to interact with the micropulses of additional electron beam macropulses. The device comprises a polarization-sensitive beam splitter for admitting an optical pulse to and ejecting it from the delay line according to its polarization state, a Pockels cell to control the polarization of the pulse within the delay line for the purpose of maintaining it within the delay line or ejecting it from the delay line, a pair of focusing mirrors positioned so that a collimated incoming optical pulse is focused by one of them to a focal point where the pulse interacts with the electron beam and then afterwards the pulse is recollimated by the second focusing mirror, and a timing device which synchronizes the introduction of the laser pulse into the optical delay line with the arrival of the electron macropulse at the delay line to ensure the interaction of the laser pulse with a prescribed number of electron micropulses in sequence. In a first embodiment of the invention, the principal optical elements are mounted with their axes collinear. In a second embodiment, all principal optical elements are mounted in the configuration of a ring.

  11. Vindicator Lidar Assessment for Wind Turbine Feed-Forward Control Applications: Cooperative Research and Development Final Report, CRADA Number CRD-09-352

    SciTech Connect (OSTI)

    Wright, A.

    2014-01-01

    Collaborative development and testing of feed-forward and other advanced wind turbine controls using a laser wind sensor.

  12. Mini-lidar sensor for the remote stand-off sensing of chemical/biological substances and method for sensing same

    DOE Patents [OSTI]

    Ray, Mark D.; Sedlacek, Arthur J.

    2003-08-19

    A method and apparatus for remote, stand-off, and high efficiency spectroscopic detection of biological and chemical substances. The apparatus including an optical beam transmitter which transmits a beam having an axis of transmission to a target, the beam comprising at least a laser emission. An optical detector having an optical detection path to the target is provided for gathering optical information. The optical detection path has an axis of optical detection. A beam alignment device fixes the transmitter proximal to the detector and directs the beam to the target along the optical detection path such that the axis of transmission is within the optical detection path. Optical information gathered by the optical detector is analyzed by an analyzer which is operatively connected to the detector.

  13. ARM - Data Announcements Article

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

    Derived Wind Profile Data from Doppler Lidar Ready for Review Bookmark and Share Height-time display of wind speed (colors) and direction (arrows) from the Doppler lidar at the...

  14. Research Highlight

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

    state-of-the-art instruments such as the Ka ARM Zenith Radar (KAZR) for cloud thickness, Doppler lidar for clear and cloudy atmosphere vertical velocity, and Raman lidar for...

  15. Observation of Fair-weather Cumuli over Land Dynamical Factors...

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

    state-of-the-art instruments such as the Ka ARM Zenith Radar (KAZR) for cloud thickness, Doppler lidar for clear and cloudy atmosphere vertical velocity, and Raman lidar for...

  16. --No Title--

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

    Stations (3) * MF soil moisture (1-3) * MF UHF prof., sodar * UNIBAS Raman lidar * UK Doppler lidar * UK radiometer * UHH cloud radar * TARA * UK Radiosondes * UK sodar R 5...

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

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

    at the AMF for Jun-Aug 2007 - Multi-wavelength aerosol and water vapor lidar (BERTHA) - Doppler wind lidar * Mainly in vertical-pointing mode * Operated primarily in the daytime,...

  18. Slide 1

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

    Moment Additional Information HSRL Lidar Extinction 2 nd MUST have independent Extinction Lidar Doppler Vd 2 nd Moment Weighting To optical depth 2 or so. 94 GHz Radar Z 6 th d<0.6...

  19. Twenty-Nine Palms Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    LiDAR At Twenty-Nine Palms Area (Page, Et Al., 2010) LiDAR Field Investigations And Temperature-Gradient Drilling At Marine Corps Air-Ground Combat Center (Mcagcc),...

  20. Microsoft PowerPoint - LIQUID_CLOUD_SUMMARY.final.amv.ppt [Compatibili...

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

    for opt. thick clouds Lidar solar backgnd for opt. thick clouds * * Cld & aerosol prop. can be retriev'd using a single lidar. Cld & aerosol prop. can be retriev'd using a...

  1. ARM Climate Research Facility

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

    for ARM Radiation Data (QCRAD) ... 13 2.35 Raman Lidar Profiles-Aerosol Scattering Ratio (RLPROFASR) ......

  2. ARM Climate Research Facility

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

    for ARM Radiation Data (QCRAD) ... 12 2.31 Raman Lidar Profiles-Aerosol Scattering Ratio (RLPROFASR) ......

  3. ARM - Measurement - Aerosol scattering

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

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

  4. Micrometer-scale fabrication of complex three dimensional lattice + basis structures in silicon

    SciTech Connect (OSTI)

    Burckel, D. Bruce; Resnick, Paul J.; Finnegan, Patrick S.; Sinclair, Michael B.; Davids, Paul S.

    2015-01-01

    A complementary metal oxide semiconductor (CMOS) compatible version of membrane projection lithography (MPL) for fabrication of micrometer-scale three-dimensional structures is presented. The approach uses all inorganic materials and standard CMOS processing equipment. In a single layer, MPL is capable of creating all 5 2D-Bravais lattices. Furthermore, standard semiconductor processing steps can be used in a layer-by-layer approach to create fully three dimensional structures with any of the 14 3D-Bravais lattices. The unit cell basis is determined by the projection of the membrane pattern, with many degrees of freedom for defining functional inclusions. Here we demonstrate several unique structural motifs, and characterize 2D arrays of unit cells with split ring resonators in a silicon matrix. The structures exhibit strong polarization dependent resonances and, for properly oriented split ring resonators (SRRs), coupling to the magnetic field of a normally incident transverse electromagnetic wave, a response unique to 3D inclusions.

  5. Characterizing and Controlling Beam Losses at the LANSCE Facility

    SciTech Connect (OSTI)

    Rybarcyk, Lawrence J.

    2012-09-12

    The Los Alamos Neutron Science Center (LANSCE) currently provides 100-MeV H{sup +} and 800-MeV H{sup -} beams to several user facilities that have distinct beam requirements, e.g. intensity, micropulse pattern, duty factor, etc. Minimizing beam loss is critical to achieving good performance and reliable operation, but can be challenging in the context of simultaneous multi-beam delivery. This presentation will discuss various aspects related to the observation, characterization and minimization of beam loss associated with normal production beam operations in the linac.

  6. Additional development of remote sensing techniques for observing morphology, microphysics, and radiative properties of clouds and tests using a new, robust CO{sub 2} lidar. Annual progress report, August 15, 1994--August 30, 1995

    SciTech Connect (OSTI)

    Eberhard, W.L.; Intrieri, J.M.; Brewer, W.A.

    1996-04-01

    The bulk morphology and microphysical characteristics of a cloud are both important in determining the cloud`s effect on radiative transfer. A better understanding of all these properties, and the links among them, are needed for developing adequate parameterizations of these components in climate models. The objective of this project is to develop remote sensing techniques for observing key cloud properties, including the linkages. The research has technique development and instrument development prongs.

  7. Section 32

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

    1 CART Raman Lidar Water Vapor Measurements During the ARM 1996 Water Vapor IOP D. D. Turner Pacific Northwest National Laboratory Richland, Washington J.E.M. Goldsmith Sandia National Laboratories Livermore, California Introduction Raman Lidar Calibration The first in a series of water vapor intensive operating periods Raman lidar systems detect selected species by measuring the (IOPs) was held during September 1996. These IOPs are wavelength shifted molecular return produced by Raman designed

  8. 1

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

    Observations of High-Level Cirrus Clouds by the NOAA Depolarization Lidar During Nauru99 J. M. Intrieri and S. Sandberg National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado Abstract During the Nauru99 field campaign, the National Oceanic and Atmospheric Administration's (NOAA's) depolarization and backscatter lidar (DABUL) obtained cloud data from aboard the research vessel Ron Brown. This lidar system, which obtains information on cloud

  9. ARM - Facility News Article

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

    Upgrades to Raman Lidar Backup Laser Improve Reliability Bookmark and Share The Raman Lidar is an active, ground-based laser remote sensing instrument that measures vertical profiles of water-vapor mixing ratio and several cloud- and aerosol-related quantities. In March 2004, upgrades to a second (back-up) laser for the Raman Lidar at the ARM Climate Research Facility's Southern Great Plains (SGP) locale were completed, concluding a complex effort that began more than a year ago. Upgrades

  10. Research Highlight

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

    Raman Lidar Observations of Aerosol Humidification Near Clouds Submitter: Ferrare, R. A., NASA LaRC 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

  11. Laser radar VI; Proceedings of the Meeting, Los Angeles, CA, Jan. 23-25, 1991

    SciTech Connect (OSTI)

    Becherer, R.J.

    1991-01-01

    Topics presented include lidar wind shear detection for commercial aircraft, centroid tracking of range-Doppler images, an analytic approach to centroid performance analysis, simultaneous active/passive IR vehicle detection, and resolution limits for high-resolution imaging lidar. Also presented are laser velocimetry applications, the application of laser radar to autonomous spacecraft landing, 3D laser radar simulation for autonomous spacecraft landing, and ground based CW atmospheric Doppler lidar performamce modeling.

  12. ARM - Facility News Article

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

    October 6, 2010 [Facility News] New Raman Lidar En Route to Australia Bookmark and Share Since 1996, the ARM Southern Great Plains site has maintained one of the few operational Raman lidars in the world. Now, thanks to funding from the American Recovery and Reinvestment Act, the ARM Tropical Western Pacific site is about to join that exclusive group. A new Raman lidar, built by Sandia National Laboratories in New Mexico, is on its way to Darwin, Australia. Optics contained inside the Raman

  13. ARM - Publications: Science Team Meeting Documents

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

    Lidar Multiple Scattering Determinations of Particle Size in Cirrus Clouds Eloranta, E.W. and Kuehn, R.E., University of Wisconsin-Madison Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Multiple scattering measurements with the University of Wisconsin High Spectral Resolution Lidar have been used to remotely measure the particle size in cirrus clouds. This poster will present measurements and describe an extention to lidar multiple scattering theory. Equations to calculate

  14. ARM - Publications: Science Team Meeting Documents

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

    A High Spectral Resolution Lidar for Long-Term Arctic Deployment Eloranta, E. W., Razenkov, I. A., Garcia, J. P., and Hedrick, J. P., University of Wisconsin-Madison Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting A new High Spectral Resolution Lidar (HSRL) has been constructed for long-term operation in the Arctic. Vertical profiles of optical depth, scattering cross section, and depolarization will be observed. Unlike conventional lidar measurements, HSRL measurements

  15. ARM - Facility News Article

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

    October 25, 2010 [Facility News] Testing Underway for New Doppler Lidars Bookmark and Share Two of the three new Doppler lidars are shown here during testing at the Southern Great Plains site in October. Two of the three new Doppler lidars are shown here during testing at the Southern Great Plains site in October. To improve climate models, the scientific community needs accurate and routine measurements of atmospheric winds with high vertical and temporal resolution under clear-air conditions.

  16. ARM - Instrument - dl

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

    govInstrumentsdl Documentation DL : Handbook ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Doppler Lidar (DL) Instrument Categories Cloud Properties Picture of the Doppler Lidar General Overview The Doppler Lidar (DL) is an active remote sensing instrument that provides range- and time-resolved measurements of radial velocity and attenuated backscatter. The principle of operation is similar to radar

  17. ARM - Article

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

    October 6, 2010 [Facility News] New Raman Lidar En Route to Australia Bookmark and Share Since 1996, the ARM Southern Great Plains site has maintained one of the few operational Raman lidars in the world. Now, thanks to funding from the American Recovery and Reinvestment Act, the ARM Tropical Western Pacific site is about to join that exclusive group. A new Raman lidar, built by Sandia National Laboratories in New Mexico, is on its way to Darwin, Australia. Optics contained inside the Raman

  18. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic

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

    Downscaling with Doppler Lidar Wind Measurements | Department of Energy Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions

  19. 1

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

    NM, March 27 - 31, 2006 Figure 2. High resolution water vapor mixing ratio and aerosol scattering ratio derived from Raman lidar measurements on September 13, 2005. The vertical...

  20. Slide 1

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

    in both non-precipitating and precipitating clouds and also in clear air (perhaps from doppler lidar just beneath cloud base) - Collocated measurements of cloud properties,...

  1. Research Highlight

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

    Climate Research Facility located near Lamont, Oklahoma. Measurements from ARM Raman lidar and Doppler radar instruments were used to both initialize and evaluate the model. A...

  2. Research Highlight

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

    in the Doppler spectra. Over the North Slope of Alaska, researchers used cloud radar Doppler velocity spectra, lidar backscattering coefficients and depolarization ratios, and...

  3. PowerPoint Presentation

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

    www.cloud-net.org Products Level 1b * Minimum instrument requirements at each site - Doppler cloud radar (35 or 94 GHz) - Cloud lidar or laser ceilometer - Microwave...

  4. Slide 1

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

    On the relationship among cloud turbulence, droplet formation and drizzle as viewed by Doppler radar, microwave radiometer and lidar. J. Geophys. Res., 104, 22195-22203 Golaz,...

  5. Towards a Characterization of Arctic Mixed-Phase Clouds

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

    manual classification of cloud phase. Using collocated cloud radar and depolarization lidar observations, it is shown that mixed-phase conditions have a high correlation with a...

  6. Slide 1

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

    ARM Aerial Facility Mission 1. Retrievals of particle size distribution from radar Doppler moments and Raman Lidar (solid curves) are very uncertain (envelope created by...

  7. ARM - Blog Article

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

    facility is the centerpiece of the team's involvement within PECAN and will carry a Doppler wind lidar, atmospheric emitted radiance interferometer, and microwave radiometer....

  8. TWP-ICE Operations Plan

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

    over range of scales (1-10's km) * Remote Sensing Aircraft: Radar reflectivity and Doppler velocity, lidar backscatter, upwelling andor downwelling radiative quantities...

  9. Remote Sensing of Cirrus Particle Size Vertical Profile Using...

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

    Category: Cloud Properties The time series of backscattering coefficients derived from lidar and Doppler millimeter-wave radar returns, as well as from balloon and aircraft...

  10. Offshore Resource Assessment and Design Conditions Public Meeting...

    Broader source: Energy.gov (indexed) [DOE]

    Standoff, multiple vertical profile measurements of winds can be obtained currently with Doppler lidar. Some of the more powerful systems could measure wind profiles over the...

  11. 1

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

    RJ Hogan, and AJ Illingworth. 2005. "Retrieving stratocumulus drizzle parameters using Doppler radar and lidar." Journal of Applied Meteorology 44(1)14-27. Ovtchinnikov, M, and...

  12. Quantifying the Aerosol Indirect Effect Using Ground-Based Remote...

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

    (with assumed particle chemistry), a vertical wind profile (ideally we would need a Doppler lidar to provide this, but the cloud radar will suffice), and surface temperature...

  13. An Improved Cloud Classification Algorithm Based on the SGP CART...

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

    in the world. The millimeter wave cloud radar (MMCR) provides radar reflectivity and mean Doppler velocity profiles for most of clouds in the troposphere. Raman lidar provide not...

  14. ARM - Field Campaign - ARM Support for the Plains Elevated Convection...

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

    govCampaignsARM Support for the Plains Elevated Convection at Night Experiment: Doppler Lidar Operations Related Campaigns ARM Support for the Plains Elevated Convection at Night...

  15. Posters Cloud Microphysical and Radiative Properties Measured

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

    1993b). Our current investigations emphasize the backscatter intensity and vertical Doppler motions. One important technical characteristic of CO 2 lidar is coherent...

  16. 1

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

    regressions (EMP), radar reflectivity - IR radiometer (ZIR), lidarradiometer (LIRAD), lidar - radar (LR), and radar Doppler moments (ZV) techniques. Table 1 lists each...

  17. Slide 1

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

    King Air A part of NSF low atmospheric facility * Remote sensors - Cloud radar - Cloud lidar - Microwave radiometer * In situ sensors - Aerosol - Cloud Provide extended cloud...

  18. Research Highlight

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

    (right) calculated by combining data from the vertically pointing Doppler cloud radar and Doppler lidar onboard the RV Ronald H. Brown. Vast sheets of stratocumulus clouds are...

  19. Posters Ground-Based Radiometric Observations

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

    data have also complemented other remote sensors such as K-band cloud Doppler radar and Doppler lidar. In addition, radiometric observations compose a database of ground- truth...

  20. CX-007901: Categorical Exclusion Determination | Department of...

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

    CX-007901: Categorical Exclusion Determination Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft, and In-Ocean...

  1. ARM - Publications: Science Team Meeting Documents: A Climatology...

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

    and lidar pair, and rawinsonde sounding; cloud liquid water path (LWP) is retrieved from ground-based microwave radiometer measured brightness temperature; and cloud-droplet...

  2. PowerPoint Presentation

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

    description in GCM METHOD: GCM grid over SIRTA DATASET : Ground base Radiative Fluxes Ground base Temperature Ground base Humidity Lidar: Boundary Layer Height Ceilometer :...

  3. Surface based remote sensing of aerosol-cloud interactions

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

    of a range of proxies for cloud condensation nuclei, ranging from surface measurements of light scattering and accumulation mode number concentration, to lidar-measured extinction...

  4. A Comparison of Cirrus Cloud Visible Optical Depth Derived from...

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

    Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar Lo, Chaomei Pacific Northwest National Laboratory Comstock, Jennifer Pacific Northwest National Laboratory...

  5. NREL Advances Feedforward Control in Turbines (Fact Sheet), NREL...

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

    ahead" at incoming wind conditions, which poten- tially eliminates this delayed control response. NREL researchers achieved this technology by using lidars, which use lasers...

  6. Section 7

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

    micro pulse lidar data collected at the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) central facility near Lamont,...

  7. ARM - CLASIC Workshop, March 26-27

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

    Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract...

  8. ARM - AAF CLASIC Field Campaign

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

    Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract...

  9. ARM - Fact Sheets

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

    Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract...

  10. ARM - CLASIC News & Press

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

    Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract...

  11. ARM - Measurement - Aerosol backscattered radiation

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

    RLPROF : Raman LIDAR Vertical Profiles UW-AIR : University of Washington Airborne Aerosol Instruments Value-Added Products AIP : Aerosol Intensive Properties (Process) AIP1OGREN :...

  12. PowerPoint Presentation

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

    University of Wisconsin - Madison Space Science and Engineering Center lori.borg@ssec.wisc.edu Assessing the Vertical Structure of Radiative Heating Using Radar & Lidar for...

  13. revercomb-98.pdf

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

    figure, please see http:www.arm.govdocsdocumentstechnicalconf9803revercomb-98.pdf.) with the CF instrument (day and night), and the GSFC scanning Raman lidar (with new...

  14. Sandia Energy - SWiFT Facility & Testing

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

    near the turbine rotor at temporal and spatial scales not accessible by current measurement techniques such as scanning LIDAR or particle image velocimetry (PIV). The...

  15. Research Highlight

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

    A Lidar View of Clouds in Southeastern China Download a printable PDF Submitter: Li, Z., University of Maryland Cribb, M. C., University of Maryland Area of Research: Cloud...

  16. ARM - Data Announcements Article

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

    lidar best-estimate VAP for April 3, 2011. Panels (a), (b), and (c) show time-height cross sections of relative humidity, aerosol backscatter coefficient, and aerosol...

  17. Tropical Western Pacific: A Year in Darwin

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

    of the Australian BMRC (Bureau of Meteorology Research Centre) -University of Wales EMERALD-2 (Egrett Microphysics Experiment with RAdiation Lidar and Dynamics) aircraft...

  18. ARM - Publications: Science Team Meeting Documents

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

    Hourly observations of 6.7 micron water vapor radiances from geostationary satellites are combined with radiosonde observations and Raman lidar measurements to document the diurnal...

  19. Posters

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

    shape of the curve of integrated backscatter versus emittance. Acknowledgments Stephen Marsden analyzed the lidar and radiometer data. John Bennett oversaw the design and...

  20. spinhirne-98.pdf

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

    forcing studies, Preprint Vol., 9th Conf. on Atmospheric Radiation, AMS, February 1997, Long Beach, California. Spinhirne, J. D., 1993: Micro pulse lidar. IEEE Trans Geo. Rem....

  1. 1

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

    Refurbishment and Upgrade of the Atmospheric Radiation Measurement Raman Lidar D.D. Turner ... California Introduction The Atmospheric Radiation Measurement Program (ARM) Climate ...

  2. rMPI

    Energy Science and Technology Software Center (OSTI)

    2010-08-24

    As high-performance computing (HPC) machines continue to grow in size, issues such as fault tolerance and reliability limit application scalability. Current techniques to ensure progress across faults, like checkpoint-restart, are unsuitable on their own for exascale machines due to the excessive overheads predicted to more than double an applications time to solution. An alternative mechanism to increase application reliability than just checkpoint-restart alone is redundant computation. The rMPl library enables portable and transparent redundant computation)more »that, at extreme scale, has significantly lower verhead then just checkpoint-restart on its own.« less

  3. Micrometer-scale fabrication of complex three dimensional lattice + basis structures in silicon

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

    Burckel, D. Bruce; Resnick, Paul J.; Finnegan, Patrick S.; Sinclair, Michael B.; Davids, Paul S.

    2015-01-01

    A complementary metal oxide semiconductor (CMOS) compatible version of membrane projection lithography (MPL) for fabrication of micrometer-scale three-dimensional structures is presented. The approach uses all inorganic materials and standard CMOS processing equipment. In a single layer, MPL is capable of creating all 5 2D-Bravais lattices. Furthermore, standard semiconductor processing steps can be used in a layer-by-layer approach to create fully three dimensional structures with any of the 14 3D-Bravais lattices. The unit cell basis is determined by the projection of the membrane pattern, with many degrees of freedom for defining functional inclusions. Here we demonstrate several unique structural motifs, andmorecharacterize 2D arrays of unit cells with split ring resonators in a silicon matrix. The structures exhibit strong polarization dependent resonances and, for properly oriented split ring resonators (SRRs), coupling to the magnetic field of a normally incident transverse electromagnetic wave, a response unique to 3D inclusions.less

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

    SciTech Connect (OSTI)

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

    2011-07-06

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

  5. Beam dynamics in a long-pulse linear induction accelerator

    SciTech Connect (OSTI)

    Ekdahl, Carl; Abeyta, Epifanio O; Aragon, Paul; Archuleta, Rita; Cook, Gerald; Dalmas, Dale; Esquibel, Kevin; Gallegos, Robert A; Garnett, Robert; Harrison, James F; Johnson, Jeffrey B; Jacquez, Edward B; Mc Cuistian, Brian T; Montoya, Nicholas A; Nath, Subrato; Nielsen, Kurt; Oro, David; Prichard, Benjamin; Rose, Chris R; Sanchez, Manolito; Schauer, Martin M; Seitz, Gerald; Schulze, Martin; Bender, Howard A; Broste, William B; Carlson, Carl A; Frayer, Daniel K; Johnson, Douglas E; Tom, C Y; Trainham, C; Williams, John; Scarpetti, Raymond; Genoni, Thomas; Hughes, Thomas; Toma, Carsten

    2010-01-01

    The second axis of the Dual Axis Radiography of Hydrodynamic Testing (DARHT) facility produces up to four radiographs within an interval of 1.6 microseconds. It accomplishes this by slicing four micro-pulses out of a long 1.8-kA, 16.5-MeV electron beam pulse and focusing them onto a bremsstrahlung converter target. The long beam pulse is created by a dispenser cathode diode and accelerated by the unique DARHT Axis-II linear induction accelerator (LIA). Beam motion in the accelerator would be a problem for radiography. High frequency motion, such as from beam breakup instability, would blur the individual spots. Low frequency motion, such as produced by pulsed power variation, would produce spot to spot differences. In this article, we describe these sources of beam motion, and the measures we have taken to minimize it.

  6. A high voltage pulse power supply for metal plasma immersion ion implantation and deposition

    SciTech Connect (OSTI)

    Salvadori, M. C.; Teixeira, F. S.; Araujo, W. W. R.; Sgubin, L. G.; Sochugov, N. S.; Spirin, R. E.; Brown, I. G.

    2010-12-15

    We describe the design and implementation of a high voltage pulse power supply (pulser) that supports the operation of a repetitively pulsed filtered vacuum arc plasma deposition facility in plasma immersion ion implantation and deposition (Mepiiid) mode. Negative pulses (micropulses) of up to 20 kV in magnitude and 20 A peak current are provided in gated pulse packets (macropulses) over a broad range of possible pulse width and duty cycle. Application of the system consisting of filtered vacuum arc and high voltage pulser is demonstrated by forming diamond-like carbon (DLC) thin films with and without substrate bias provided by the pulser. Significantly enhanced film/substrate adhesion is observed when the pulser is used to induce interface mixing between the DLC film and the underlying Si substrate.

  7. ARM - VAP Product - 10rlprofbe1news

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

    news Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027250 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 10RLPROFBE1NEWS Raman LIDAR (RL): Best-estimate state of the atmospheric profiles from Raman Lidar Active Dates 2004.10.01 - 2015.09.21 Originating VAP Process Raman LIDAR Vertical Profiles : RLPROF Measurements The measurements

  8. ARM_Mayor_Poster_FINAL5.ai

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

    Raman-shifted Eye-safe Aerosol Lidar (REAL) Shane Mayor, Scott Spuler, Bruce Morley National Center for Atmospheric Research (NCAR) Boulder, Colorado 3 March 2006 00:16:12 UTC 2 km 4 km T-REX: March-April 2006 T-REX The NCAR REAL is available for use. Please contact shane@ucar.edu or go to www.lidar.ucar.edu 1km 2km 1km 2km Dry BG Wet MS2 BACKSCATTER INTENSITY DEPOLARIZATION RATIO Dry BG Wet MS2 1.54-microns wavelength, rapid-scanning, eye-safe, aerosol lidar CHATS: March-June 2007 Independence,

  9. DISCLAIMER

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

    ARM-TR-101 Doppler Lidar (DL) Handbook RK Newsom February 2012 Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research RK Newsom, February 2012, DOE/SC-ARM-TR-101 iii Acronyms and Abbreviations AGL above ground level AMF ARM Mobile Facility AMFDL AMF Doppler Lidar ARM Atmospheric Radiation Measurement DL Doppler Lidar DMF Data Management Facility DOE U.S. Department of Energy DQO Data Quality Office GVAX Ganges Valley Aerosol Experiment

  10. ARM - Instrument - rl

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

    govInstrumentsrl Documentation RL : Handbook ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Raman Lidar (RL) Instrument Categories Aerosols, Atmospheric Profiling Picture of the Raman Lidar (RL) General Overview The Raman Lidar (RL) is an active, ground-based laser remote sensing instrument that measures vertical profiles of water-vapor mixing ratio and several cloud- and aerosol-related quantities.

  11. Microsoft PowerPoint - 02_A_AWG_Monterey_ALIVE_Schmid_short.ppt [Compatibility Mode]

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

    Lidar Validation Experiment (ALIVE) NASA Ames Airborne Tracking 14-channel Sun photometer (AATS-14) Sky Research J-31 Research Scanning Polarimeter (RSP) N i ti l d M t l i l Cessna 206 Navigational and Meteorological Parameters Raman Lidar Micro Pulse Lidar SGP, Sep 11-22, 2005 2005 ALIVE Operations Summary ALIVE Operations Summary * Sep 11 - 22, 2005 Sep 11 22, 2005 * 23 research flight hours * 12 flights over SGP on 8 days 12 flights over SGP on 8 days * 5 coordinated flights with C206 *

  12. Microsoft PowerPoint - ARM2008_poster_mbc_raf [Compatibility Mode]

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

    d W t V V i bilit N Cl d M d Aerosol and Water Vapor Variability Near Clouds Measured Aerosol and Water Vapor Variability Near Clouds Measured Aerosol and Water Vapor Variability Near Clouds Measured p y b h U d d SGP R Lid by the Upgraded SGP Raman Lidar by the Upgraded SGP Raman Lidar by the Upgraded SGP Raman Lidar by t e Upg aded SG a a da 1 2 3 4 4 Richard Ferrare 1 David Turner 2 Marian Clayton 3 Rob Newsom 4 Chitra Sivaraman 4 Richard Ferrare 1 David Turner 2 Marian Clayton 3 Rob Newsom 4

  13. Microsoft PowerPoint - ferrare_STM_2009_poster [Compatibility Mode]

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

    Questions * How do aerosol optical and physical properties vary near clouds? H th i ti l t d t h i Approach * Use combination of advanced ground (SGP Raman Lidar) and airborne (NASA/LaRC HSRL) lidars and * Lidar measurements show increases in aerosol extensive parameters near clouds; these increases appear Summary Aerosol Variability Near Clouds During CLASIC/CHAPS 1 NASA LaRC; 2 SSAI; 3 Univ. of Wisconsin-Madison; 4 PNNL; 5 CIRPAS *richard.a.ferrare@nasa.gov Richard Ferrare 1,* , Marian Clayton

  14. NREL Advances Feedforward Control in Turbines (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01

    This NREL Highlight is being produced for the 2015 February Alliance S&T Board meeting, and describes research that uses lidar and feedforward algorithms to improve rotor speed regulation and reduce costs of maintenance and operation.

  15. X:\\ARM_19~1\\P113-137.WPD

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

    A critical review, Appl. Opt., 29, 451-462. Grund, C. J. 1995. The NOAA 2 m coherent Doppler lidar: Optical remote sensing of the atmosphere, Opt. Soc. Am., Technical Digest...

  16. Sandia Energy - Texas Tech University mobile doppler radars provide...

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

    at above 0.90 for the analyzed datasets. Additional comparisons between the TTUKa dual-Doppler data and a WindCube profiling lidar also yielded correlation coefficients near and...

  17. CX-010481: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Differential Absorption Lidar (DIAL) for Spatial Mapping of Carbon Dioxide CX(s) Applied: A1, A9, A11, B3.6 Date: 05/29/2013 Location(s): Montana Offices(s): National Energy Technology Laboratory

  18. ARM - As-PECAN - News

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

    Related Campaigns ARM Support for the Plains Elevated Convection at Night Experiment: Doppler Lidar Operations 2015.06.01, Turner, SGP Comments? We would love to hear from you...

  19. ARM - Publications: Science Team Meeting Documents

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

    Global Lidar Observations of Cloud and Aerosol Campbell, J.R. (a), Welton, E.J. (b), Spinhrine, J.D. (c), and Flynn, C.J. (d), Science Systems Applications, Inc. (a), University of...

  20. ARM - Field Campaign - ARM-FIRE Water Vapor Experiment

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

    were the airborne NASA LaRC LASE water vapor lidar and Diode Laser Hygrometer (DLH), the ground-based Vaisala RS-80H (after application of corrections for time-lag, temperature...

  1. Remote Sensing Techniques | Open Energy Information

    Open Energy Info (EERE)

    LiDAR). In thermal imaging where detectors are measuring heat, it is best to fly when the ground vs. air temperature gradient or contrast is highest. Cooler months are thus better...

  2. arm_07.ai

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

    be bullet rosettes. The vertical flux of water can be computed using the radar measured vertical velocity and the lidar-radar derived water content . The flux of water computed...

  3. 1

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

    and the measured cloud lifetime, as detected by lidar (hours). A scheme is in light grey, B scheme in black, C scheme in white, and D scheme in dark grey. For all the cases...

  4. ARM - Data Announcements Article

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

    with an improved cloud mask, attenuation flag, and extended height range to 20 kilometers. Data are now available at 2-minute and 10-minute resolution for the Raman Lidar...

  5. ARM - Publications: Science Team Meeting Documents

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

    in the lidar beam. Theory shows that the multiple scattering is robustly related to the angular width of the diffraction peak in the scattering phase function and this width is a...

  6. CX-100511 Categorical Exclusion Determination | Department of...

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

    24 potential study sites to 3-5 sites; geologic study of the 3-5 chosen sites; geochemical investigations; shallow temperature, LiDAR and gravity surveys; seismic reflection ...

  7. ARM - Data Announcements Article

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

    at the 2012 ASR Science Team Meeting and received a recommendation from the lidar focus group, PBL height interest group, and Cloud Life Cycle working group that led to the...

  8. Research Highlight

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

    optical depth rerieved from infrared observations with high spectral resolution lidar." IEEE Geoscience and Remote Sensinsing Letters 5: 285-288, doi:10.1109LGRS.2008.915940....

  9. ARM - Publications: Science Team Meeting Documents

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

    data have been collected and archived on our web site (see arctic HSRL at "lidar.ssec.wisc.edu"). A web interface to browse and visualize data is provided along with tools to...

  10. 1

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

    of Wisconsin - Madison 1225 W. Dayton St. Madison, WI 53706 email: dturner@ssec.wisc.edu Reference Turner, DD. 2005. "Arctic mixed-phase cloud properties from AERI-lidar...

  11. ARM - Publications: Science Team Meeting Documents: University...

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

    WI web site. This poster will present AHSRL data obtained during MPACE and show examples of it's application in synergism with other MPACE observations. lidar.ssec.wisc.edu...

  12. ARM - Campaign Instrument - hsrl-air

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : NASA Airborne High Spectral Resolution Lidar (HSRL-AIR) Instrument...

  13. ARM - Campaign Instrument - hsrl

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

    govInstrumentshsrl Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : High Spectral Resolution Lidar (HSRL)...

  14. 1

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

    measured by ARM UAV lidar January 29; red arrows illustrate start and end of N-S line highlighted below to examine aging of cirrus bands. 3 Sixteenth ARM Science Team...

  15. ARM - Field Campaign - Measuring Clouds at SGP with Stereo Photogramme...

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

    the form of the Point Cloud of Cloud Points Product (PCCPP). The PCCPP will: provide context on life-cycle stage and cloud position for vertically pointing radars, lidars, and...

  16. Microsoft Word - ARM Value-Added Product_tech_rpt_v2.doc

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

    ... Journal of Atmospheric and Oceanic Technology, 18:1658-1673. Comstock, JM, TP Ackerman, and GG Mace. 2002. "Ground-based lidar and radar remote sensing of tropical cirrus clouds at ...

  17. Research Highlights Sorted by Research Area

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

    Size and Cover ARM ASR Li, Z., Cribb, M. C. A Lidar View of Clouds in Southeastern China ARM ASR Li, Z. Estimating Glaciation Temperature of Deep Convective Clouds with Remote...

  18. Section 2

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

    backscattering profiles measured by an MRI cloud lidar, spectral solar and infra-red (IR) zenith radiance measured by the spectroradiometers, and the solar and IR fluxes at the...

  19. demoz-99.PDF

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

    zero crossings in the derivative of the lidar signal. A comparison of the dew point depression (T-Td) profile derived from the sonde with the aerosol channel profile shows that...

  20. Research Highlight

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

    tilted away from the vertical laser beam axis (without losing from the image the impact point of the beam on cloud base). Standard atmospheric lidar observations are predicated on...

  1. 20080310arm2008_norfolk_pos.ppt

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

    Okamoto et al. 2007 showed the vertical cloud structure over the Pacific Ocean near Japan using radar and lidar on the Research Vessel Mirai during MR01K02 cruise (May 2001)....

  2. ARM - Facility News Article

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

    December 28, 2010 Facility News First Data from Darwin Raman Lidar Bookmark and Share Since 1996, the ARM Southern Great Plains site has maintained one of the few operational...

  3. Section 79

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

    7 Performance of the Mini-MOPA, CO Doppler, 2 Cloud Lidar at CART J. M. Intrieri and W. L. Eberhard NOAA, Environmental Technology Laboratory Boulder, Colorado W. A. Brewer Cooperative Institute for Research in Environmental Sciences University of Colorado/NOAA, Environmental Technology Laboratory Boulder, Colorado Introduction The Environmental Technology Laboratory (ETL) mini- Master Oscillator Power Amplifier (MOPA) Doppler lidar was successfully deployed and demonstrated during the Southern

  4. ARM - Events Article

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

    8, 2008 [Events] Abstracts Due for 4th Symposium on Lidar Atmospheric Applications Bookmark and Share A symposium on lidar atmospheric applications, sponsored by the American Meteorological Society (AMS) and organized by the AMS Committee on Laser Atmospheric Studies, will be held 11-15 January 2009 as part of the 89th AMS Annual Meeting in Phoenix, Arizona. The deadline for abstracts is 1 August 2008. Please submit your abstract electronically at http://www.ametsoc.org/meet/online_submit.html.

  5. Research Highlight

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

    Retrieving Cloud and Aerosol Properties from the ARM Raman Lidar Download a printable PDF Submitter: Thorsen, T., NASA - Langley Research Center Fu, Q., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Thorsen TJ, Q Fu, RK Newsom, DD Turner, and JM Comstock. 2015. "Automated retrieval of cloud and aerosol properties from the ARM Raman lidar, Part I: Feature detection." Journal of

  6. ARM - Publications: Science Team Meeting Documents

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

    Evidence of High Ice Supersaturation in Cirrus Clouds Using ARM Raman Lidar Measurements Comstock, J.M., Ackerman, T.P., and Turner, D.D., Pacific Northwest National Laboratory Fourteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting Water vapor amounts in the upper troposphere are crucial to understanding the radiative feedback of cirrus clouds on the Earth’s climate. We use a unique, year-long dataset of water vapor mixing ratio inferred from ground-based Raman lidar

  7. ARM - Publications: Science Team Meeting Documents: Cirrus Cloud

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

    Measurements by the UAF Polarization Diversity Lidar during M-PACE Cirrus Cloud Measurements by the UAF Polarization Diversity Lidar during M-PACE Sassen, Kenneth University of Alaska Fairbanks Zhu, Jiang UAF During the final week of the September-October 2004 Mixed-Phase Cloud Experiment (M-PACE) conducted in and around the North Slope of Alaska (NSA) Atmospheric Radiation Measurement (ARM) site in Barrow, Alaska, cirrus clouds were unexpectedly prevalent. Overcoming earlier adversity, the

  8. ARM - Publications: Science Team Meeting Documents

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

    Water Vapor Profiling During WVIOP#3 and AFWEX2000 Using Ground-Based Differential Absorption Lidar Boesenberg, J. (a), Linne, H. (a), Jansen, F. (a), Ertel, K. (a), Lammert, A. (a), and Wilkerson, T. (b), Max-Planck-Institut fuer Meteorologie, Hamburg (a), Utah State Univerity (b) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting The differential absorption lidar (DIAL) system of the MPI participated in both the WVIOP#3 and AFWEX2000 experiments. It was operated on 11 days

  9. ARM - Publications: Science Team Meeting Documents

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

    Lidar Remote Sensing of Cirrus Clouds at the Southern Great Plains Site: Comparisons of Extinction and Backscatter Coefficients Derived Using Raman and Backscatter Lidar Technique Comstock, J.M.(a), Fu, Q.(b), Turner, D.D.(c), and Ackerman, T.P.(a), Pacific Northwest National Laboratory (a), Department of Atmospheric Sciences, University of Washington (b), University of Wisconsin/Pacific Northwest National Laboratory(c) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting

  10. ARM - Publications: Science Team Meeting Documents

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

    A High Spectral Resolution Lidar for the Arctic - A Progress Report Eloranta, E.W., Razenkov, I., Kuehn, R., Holz, R., Hedrick, J., and Garcia, J., University of Wisconsin-Madison Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting The University of Wisconsin is constructing a High Spectral Resolution Lidar for deployment in the Arctic. It is designed to operate as an internet appliance and require minimal attention from an onsite attendent. It will provide continuous well

  11. Catherine Naud (Columbia Univ.) and Anthony Del Genio (GISS), New York

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

    thermodynamic phase distribution in midlatitude optically thin clouds Catherine Naud (Columbia Univ.) and Anthony Del Genio (GISS), New York Martial Haeffelin, Yohann Morille and Vincent Noel (IPSL/LMD, France) Dave Turner (Univ. Wisconsin, Madison), Zhien Wang (Univ. Wyoming, Laramie) Chaomei Lo and Jennifer Comstock (PNNL) 5. Ice fraction vs temperature: similar relation at all cloud levels 2. Thermodynamic phase from lidar: determined at all lidar cloud levels from depolarization ratios and

  12. ARM - VAP Process - dlprof

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

    Productsdlprof Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Doppler Lidar Profiles (DLPROF) Instrument Categories Atmospheric Profiling The ARM Facility currently operates several scanning coherent Doppler lidar systems at various sites around the globe. These instruments operate in the near infrared (1.5 microns) and provide

  13. ARM - VAP Process - rlprof

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

    Productsrlprof Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Raman LIDAR Vertical Profiles (RLPROF) Instrument Categories Aerosols, Atmospheric Profiling, Derived Quantities and Models Rlprof data flow diagram Data flowchart for the RLPROF family. (Larger image available.) The Raman lidar automatically attempts to

  14. ARM - Datastreams - dlcal1

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

    Datastreamsdlcal1 Documentation Data Quality Plots Citation DOI: 10.5439/1025183 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLCAL1 Doppler Lidar - calibration scan 1 Active Dates 2010.10.30 - 2015.07.22 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are

  15. ARM - Datastreams - dlcal2

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

    Datastreamsdlcal2 Documentation Data Quality Plots Citation DOI: 10.5439/1025184 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLCAL2 Doppler Lidar - calibration scan 2 Active Dates 2010.10.21 - 2016.03.11 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are

  16. ARM - Datastreams - dlfpt

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

    Datastreamsdlfpt Documentation Data Quality Plots Citation DOI: 10.5439/1025185 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLFPT Doppler Lidar - Fixed Pointing mode Active Dates 2010.10.21 - 2016.03.12 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are

  17. ARM - Datastreams - dlppi

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

    Datastreamsdlppi Documentation Data Quality Plots Citation DOI: 10.5439/1025186 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLPPI Doppler Lidar - Plan Position Indicator Active Dates 2010.10.28 - 2016.03.12 Measurement Categories Aerosols, Atmospheric State, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered

  18. ARM - Datastreams - dlrhi

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

    Datastreamsdlrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046188 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLRHI Doppler LIDAR Range-Height Indicator scan Active Dates 2011.07.21 - 2015.08.24 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant

  19. ARM - Datastreams - dlrhi2

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

    Datastreamsdlrhi2 Documentation Data Quality Plots Citation DOI: 10.5439/1025188 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLRHI2 Doppler Lidar - Patrial Range-Height-Indicator scan Active Dates 2010.10.21 - 2010.11.21 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered

  20. ARM - Datastreams - dlusr

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

    Datastreamsdlusr Documentation Data Quality Plots Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLUSR Doppler Lidar -- ? user information ? Active Dates 2012.07.09 - 2013.07.03 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea

  1. ARM - Instrument - hsrl

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

    govInstrumentshsrl Documentation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : High Spectral Resolution Lidar (HSRL) Instrument Categories Aerosols, Cloud Properties The High Spectral Resolution Lidar (HSRL ) provides calibrated measurements of aerosol optical depth, volume backscatter coefficient, cross section, and depolarization. Measurements are computed from ratios of the particulate scattering

  2. ARM - Campaign Instrument - rlprof

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

    govInstrumentsrlprof Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Raman LIDAR Vertical Profiles (RLPROF) Instrument Categories Aerosols, Atmospheric Profiling, Derived Quantities and Models Campaigns Aerosol IOP [ Download Data ] Southern Great Plains, 2003.05.01 - 2003.05.31 Aerosol Lidar Validation Experiment - ALIVE [ Download Data ] Southern Great Plains, 2005.09.12 - 2005.09.22 Fall 1997 Water Vapor IOP [ Download

  3. ARM - Data Announcements Article

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

    7, 2015 [Data Announcements] Doppler Lidar Profile VAPs Now Available Bookmark and Share Top: Seen here are height-time display of wind speed and direction.Bottom: Height-time displays are shown here of vertical velocity variance, skewness, and kurtosis. Top: Seen here are height-time display of wind speed and direction. Bottom: Height-time displays are shown here of vertical velocity variance, skewness, and kurtosis. The ARM Facility currently operates several scanning coherent Doppler lidar

  4. K. Sassen

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

    K. Sassen Department of Meteorology University of Utah Salt Lake City I UT 84112 companion papers) participated in major field projects to obtain detailed cloud datasets, along with complementary cloud modeling and empirical studies. We describe our progress to date in our main research areas below. Polarization Diversity Lidar (PDL) Development As reviewed at the start of the ARM Program (Sassen 1991), polarization lidar techniques have unique cloud- sensing capabilities, particularly with

  5. INDIA

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

    ARM instruments on top of the ARIES Observatory in Nainital Doppler Lidar (DL) Shortwave Array Spectroradiometers, both Hemispheric and Zenith (SASHE and SASZE) Shortwave Array Spectroradiometers, both Hemispheric and Zenith (SASHE and SASZE) Total Sky Imager (TSI) on the far left, Cimel Sunphotometer (CSPHOT) center, and Sky Radiometers on Stand for Downwelling Radiation (SKYRAD) to the right Sky Radiometers on Stand for Downwelling Radiation (SKYRAD) Total Sky Imager (TSI) Doppler Lidar (DL)

  6. Microsoft PowerPoint - 090402_cops_breakout.pptx

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

    1 Overview (Volker Wulfmeyer): 1. Overview (Volker Wulfmeyer): * Further insight in COPS data set * Ongoing projects and their links to ARM, WWRP, and WCRP IPM t diff ti l b ti lid d * IPM water-vapor differential absorption lidar and temperature rotational Raman lidar 2. Dave Turner: Modifications to the water vapor continuum in the microwave suggested by ground-based 150 GHz observations 3. Ulrich Löhnert: Overview of microwave radiometry and potential of sensor synergy during the COPS AMF

  7. Microsoft PowerPoint - ARMST2009.shupeposter.ppt [Compatibility Mode]

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

    Spring and Fall Arctic Mixed-Phase Clouds: Perspectives from the surface during ISDAC and MPACE Matthew Shupe a , David Turner b , Ed Eloranta b , Pavlos Kollias c p a CIRES - University of Colorado and NOAA/ESRL, b University of Wisconsin- Madison, c McGill University Summary Cloud Boundaries -Cloud top identified using radar, cloud base identified using high spectral resolution lidar or ceilometer. Phase Classification Uses phase specific signatures from radar lidar microwave radiometer and

  8. Microsoft PowerPoint - illinghogan_mar04.html

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

    observations of clouds and radiation at Chilbolton UK to evaluate NWP models. Anthony Illingworth and Robin Hogan University of Reading, UK * Chilbolton 24h/7d vertical profiles of clouds * 94GHz radar and lidar - profiles 30sec/60m resolution. * Infer cloud properties and compare with values held in operational models for Chilbolton grid box. * 35GHz radar, 22/28/38GHz Radiometers, Raman lidar. * 1275 clear air radar - boundary layer + refractivity * 3GHz polarisation radar for precipitation.

  9. Microsoft PowerPoint - mather_twpice_data_status_ny.ppt

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

    Twin Otter TWP-ICE/ACTIVE Observation Network Egrett (UK) Proteus Dornier (UK) Dimona Tiwi Islands Darwin Mt Bundy Pt Stuart Cape Don Garden Point Southern Surveyor In situ microphysics Radar/Lidar Chemistry/Aerosol/Atm state Fluxes/Atmospheric state Darwin ARM Measurements *Cloud Profiles - mm radar and lidar *T/RH/Wind Profiles - radiosondes (BOM) *Column water - microwave radiometer *Column Aerosol - solar spectral radiometer *Surface radiation budget - solar and terrestrial *Surface

  10. Reduction/Transformation Operators

    Energy Science and Technology Software Center (OSTI)

    2006-09-01

    RTOp (reduction/transformation operators) is a collection of C++ software that provides the basic mechanism for implementinig vector operations in a flexible and efficient manner. This is the main interface utilized by Thyra to allow for the specification of specific vector reduction and/or transformation operations. The RTOp package contains three different types of software. (a) a small number of interoperability interfaces. (b) support software including code for the parallel SPMD mode based on only Teuchos::Comm(and notmore » MPl directly(, and (c) a library of pre-implemented RTOp subclasses for everything from simple AXPYs and norms, to more specialized vector operations. RTOp allows an algorithm developer to implement their own RTOp subclasses in a way that is independent from any specific serial, parallel, out-of-core or other type of vector implementation. RTOp is a required package by Thyra and MOOCHO. (c)« less

  11. Multiwavelength observations of a devleoping cloud system: The FIRE II 26 November 1991 case study

    SciTech Connect (OSTI)

    Intrieri, J.M.; Eberhard, W.L.; Uttal, T.

    1995-12-01

    Simultaneous multiwavelength measurements of a developing cloud system were obtained by NOAA Doppler lidar, Doppler radar, Fourier transform infrared interferometer, and microwave and infrared radiometers on 26 November 1991. The evolution of the cloud system is described in terms of lidar backscatter, radar reflectivity and velocity, interferometer atmospheric spectra, and radiometer brightness temperature, integrated liquid water, and water vapor paths. Utilizing the difference in wavelength between the radar and lidar, and therefore their independent sensitivity to different regions of the same cloud, the cloud top, base, depth, and multiple layer heights can be determined with better accuracy than with either instrument alone. Combining the radar, lidar, and radiometer measurements using two different techniques allows an estimation of the vertical profile of cloud microphysical properties such as particle sizes. Enhancement of lidar backscatter near zenith revealed when highly oriented ice crystals were present. The authors demonstrate that no single instrument is sufficient to accurately describe cirrus clouds and that measurements in combination can provide important details on their geometric, radiative, and microphysical properties.

  12. Method for tracking the location of mobile agents using stand-off detection technique

    DOE Patents [OSTI]

    Schmitt, Randal L. (Tijeras, NM); Bender, Susan Fae Ann (Tijeras, NM); Rodacy, Philip J. (Albuquerque, NM); Hargis, Jr., Philip J. (Albuquerque, NM); Johnson, Mark S. (Albuquerque, NM)

    2006-12-26

    A method for tracking the movement and position of mobile agents using light detection and ranging (LIDAR) as a stand-off optical detection technique. The positions of the agents are tracked by analyzing the time-history of a series of optical measurements made over the field of view of the optical system. This provides a (time+3-D) or (time+2-D) mapping of the location of the mobile agents. Repeated pulses of a laser beam impinge on a mobile agent, such as a bee, and are backscattered from the agent into a LIDAR detection system. Alternatively, the incident laser pulses excite fluorescence or phosphorescence from the agent, which is detected using a LIDAR system. Analysis of the spatial location of signals from the agents produced by repeated pulses generates a multidimensional map of agent location.

  13. Meteorological Observations for Renewable Energy Applications at Site 300

    SciTech Connect (OSTI)

    Wharton, S; Alai, M; Myers, K

    2011-10-26

    In early October 2010, two Laser and Detection Ranging (LIDAR) units (LIDAR-96 and LIDAR-97), a 3 m tall flux tower, and a 3 m tall meteorological tower were installed in the northern section of Site 300 (Figure 1) as a first step in development of a renewable energy testbed facility. This section of the SMS project is aimed at supporting that effort with continuous maintenance of atmospheric monitoring instruments capable of measuring vertical profiles of wind speed and wind direction at heights encountered by future wind power turbines. In addition, fluxes of energy are monitored to estimate atmospheric mixing and its effects on wind flow properties at turbine rotor disk heights. Together, these measurements are critical for providing an accurate wind resource characterization and for validating LLNL atmospheric prediction codes for future renewable energy projects at Site 300. Accurate, high-resolution meteorological measurements of wind flow in the planetary boundary layer (PBL) and surface-atmosphere energy exchange are required for understanding the properties and quality of available wind power at Site 300. Wind speeds at heights found in a typical wind turbine rotor disk ({approx} 40-140 m) are driven by the synergistic impacts of atmospheric stability, orography, and land-surface characteristics on the mean wind flow in the PBL and related turbulence structures. This section of the report details the maintenance and labor required in FY11 to optimize the meteorological instruments and ensure high accuracy of their measurements. A detailed look at the observations from FY11 is also presented. This portion of the project met the following milestones: Milestone 1: successful maintenance and data collection of LIDAR and flux tower instruments; Milestone 2: successful installation of solar power for the LIDAR units; and Milestone 3: successful implementation of remote data transmission for the LIDAR units.

  14. GREEN FUNCTIONS FOR MULTIPLE SCATTERING AS MATHEMATICAL TOOLS FOR DENSE CLOUD REMOTE SENSING: THEORY, WITH PASSIVE AND ACTIVE APPLICATIONS.

    SciTech Connect (OSTI)

    Davis, A. B.; Marshak, A.; Cahalan, R. F.

    2001-01-01

    We survey radiative Green function theory (1) in linear transport theory where numerical procedures are required to obtain specific results and (2) in the photon diffusion limit (large optical depths) where it is analytically tractable, at least for homogeneous plane-parallel media. We then describe two recent applications of Green function theory to passive cloud remote sensing in the presence of strong three-dimensional transport effects. Finally, we describe recent instrumental breakthroughs in 'off-beam' cloud lidar which is based on direct measurements of radiative Green functions with special attention to the data collected during the Shuttle-based Lidar In-space Technology Experiment (LITE) mission.

  15. ARM - Events Article

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

    February 11, 2015 [Events, Facility News] First ARM Summer Training to be Held in Oklahoma Bookmark and Share Radar row at the Southern Great Plains Central Facility is a series of radars and lidars used to measure a variety of atmospheric properties. Radar row at the Southern Great Plains Central Facility is a series of radars and lidars used to measure a variety of atmospheric properties. In an effort to promote the training of the next generation of atmospheric scientists, the first ever ARM

  16. ARM - Events Article

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

    January 15, 2007 [Events] 7th Asian Lidar Conference to be Held in Bangkok July 31 Bookmark and Share The 7th Asian Lidar Conference will be held in Bangkok, Thailand, July 31 - August 3, 2007. This year, the conference will be held as a special session during the 4th Annual Meeting of the Asia Oceania Geosciences Society (AOGS). The AOGS is an international society founded in 2003 to promote cooperation and discussion among scientists in Asia on the Earth, its environment and oceania, and

  17. ARM - VAP Product - 10rlproftemp1news

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

    rlproftemp1news Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095307 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 10RLPROFTEMP1NEWS Temperature Profiles from Raman Lidar at 10-min averaging interval Active Dates 2009.01.01 - 2015.09.29 Originating VAP Process Raman LIDAR Vertical Profiles : RLPROF Measurements The measurements

  18. ARM - VAP Product - 10srlprofasr1ferr

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

    srlprofasr1ferr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027727 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 10SRLPROFASR1FERR 10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm Active Dates 2004.10.01 - 2015.09.25 Originating VAP Process Raman LIDAR Vertical

  19. ARM - VAP Product - 10srlprofmr1turn

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

    srlprofmr1turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027724 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 10SRLPROFMR1TURN Raman LIDAR (RL): 10-sec water vapor mixing ratio andrelative humidity profiles , along with PWV Active Dates 2004.10.01 - 2015.09.23 Originating VAP Process Raman LIDAR Vertical Profiles : RLPROF

  20. ARM - VAP Product - 1rlprofasr1ferr

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

    rlprofasr1ferr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027732 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 1RLPROFASR1FERR 1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm Active Dates 2004.10.01 - 2015.09.25 Originating VAP Process Raman LIDAR Vertical

  1. ARM - VAP Product - 1rlprofext1ferr

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

    rlprofext1ferr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027733 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 1RLPROFEXT1FERR 1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm Active Dates 2004.10.01 - 2015.09.23 Originating VAP Process Raman LIDAR Vertical Profiles :

  2. ARM - VAP Product - 2rlprofasr1ferr

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

    rlprofasr1ferr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095308 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 2RLPROFASR1FERR 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm Active Dates 2004.10.01 - 2010.01.02 Originating VAP Process Raman LIDAR Vertical

  3. ARM - VAP Product - 2rlprofdep1turn

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

    Productsrlprof2rlprofdep1turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027735 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 2RLPROFDEP1TURN 2-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths Active Dates 2004.10.01 - 2015.09.25 Originating VAP Process Raman LIDAR Vertical Profiles :

  4. ARM - VAP Product - 60rlproftemp1news

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

    Productsrlprof60rlproftemp1news Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095309 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 60RLPROFTEMP1NEWS Temperature Profiles from Raman Lidar at 60-min averaging interval Active Dates 2009.01.01 - 2015.10.01 Originating VAP Process Raman LIDAR Vertical Profiles : RLPROF Measurements The

  5. Wide Area Wind Field Monitoring Status & Results

    SciTech Connect (OSTI)

    Alan Marchant; Jed Simmons

    2011-09-30

    Volume-scanning elastic has been investigated as a means to derive 3D dynamic wind fields for characterization and monitoring of wind energy sites. An eye-safe volume-scanning lidar system was adapted for volume imaging of aerosol concentrations out to a range of 300m. Reformatting of the lidar data as dynamic volume images was successfully demonstrated. A practical method for deriving 3D wind fields from dynamic volume imagery was identified and demonstrated. However, the natural phenomenology was found to provide insufficient aerosol features for reliable wind sensing. The results of this study may be applicable to wind field measurement using injected aerosol tracers.

  6. ARM - Publications: Science Team Meeting Documents

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

    AERI and Raman Lidar Cirrus Cloud Optical Depth Retrieval to Validate Aircraft-Based Cirrus Measurements DeSlover, D.H.(a), Knuteson, R.O.(a), Turner, D.D.(b), Whiteman, D.N.(c), and Smith, W.L.(d), Univeristy of Wisconsin - Madison (a), Pacific Northwest National Laboratory (b), NASA Goddard Space Flight Center (c), NASA Langley Research Center (d) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Ground-based Atmospheric Emitted Radiance Interferometer (AERI) and Raman lidar

  7. Haef_poster.ppt

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

    TOWARDS A GLOBAL CLIMATOLOGY OF OPTICALLY THIN CLOUDS DERIVED FROM NETWORKS OF GROUND-BASED LIDARS HAEFFELIN M. (1) , DUPONT J-C. (2) , KECKHUT P. (3) , MORILLE Y. (2) , NOËL V. (2) (1)Institut Pierre-Simon Laplace, Paris, FRANCE. (2) Laboratoire de Météorologie Dynamique, Palaiseau, France (3) Service d'Aéronomie, Paris, France CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) Introduction Over 100 Lidar stations can be found around the globe. Only few are equipped with fully automated

  8. whiteman-98.pdf

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

    9 Comparison of Measurements by the NASA/GSFC Scanning Raman Lidar and the DOE/ARM CART Raman Lidar D. N. Whiteman and G. Schwemmer NASA-Goddard Space Flight Center Greenbelt, Maryland D. D. Turner Pacific Northwest National Laboratory Richland, Washington K. D. Evans, B. B. Demoz, S. H. Melfi, M. Cadirola, and S. Wise Joint Center for Earth Systems Technology Baltimore, Maryland R. A. Ferrare NASA-Langley Research Center Hampton, Virginia J. E. M. Goldsmith and T. P. Tooman Sandia National

  9. ARM - VAP Product - dlprofwind4news

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

    Productsdlprofdlprofwind4news Documentation Technical Report Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1190027 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : DLPROFWIND4NEWS Doppler lidar wind VAP Active Dates 2010.11.02 - 2016.03.10 Originating VAP Process Doppler Lidar Profiles : DLPROF Description Seen here are height-time display of wind

  10. ARM - VAP Product - dlprofwstats4news

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

    Productsdlprofdlprofwstats4news Documentation Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : DLPROFWSTATS4NEWS Doppler lidar vertical velocity VAP Active Dates 2010.10.22 - 2016.03.09 Originating VAP Process Doppler Lidar Profiles : DLPROF Description Height-time displays are shown here of vertical velocity variance (a), skewness (b), and

  11. ARM - Campaign Instrument - pdlidar

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

    govInstrumentspdlidar Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Polarization Diversity Lidar (PDLIDAR) Instrument Categories Aerosols, Atmospheric Profiling, Cloud Properties Campaigns CRYSTAL-FACE [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2002.06.26 - 2002.08.01 M-PACE - Polarization Diversity Lidar (PDL) [ Download Data ] North Slope Alaska, 2004.09.01 - 2004.10.21 Remote Cloud Sensing

  12. ILC @ SLAC R&D Program for a Polarized RF Gun

    SciTech Connect (OSTI)

    Clendenin, J.E.; Brachman, A.; Dowell, D.H.; Garwin, E.L.; Ioakemidi, K.; Kirby, R.E.; Maruyama, T.; Miller, R.A.; Prescott, C.Y.; Wang, J.W.; Lewellen, J.W.; Prepost, R.; /Wisconsin U., Madison

    2006-01-25

    Photocathode rf guns produce high-energy low-emittance electron beams. DC guns utilizing GaAs photocathodes have proven successful for generating polarized electron beams for accelerators, but they require rf bunching systems that significantly increase the transverse emittance of the beam. With higher extraction field and beam energy, rf guns can support higher current densities at the cathode. The source laser system can then be used to generate the high peak current, relatively low duty-factor micropulses required by the ILC without the need for post-extraction rf bunching. The net result is that the injection system for a polarized rf gun can be identical to that for an unpolarized rf gun. However, there is some uncertainty as to the survivability of an activated GaAs cathode in the environment of an operating rf gun. Consequently, before attempting to design a polarized rf gun for the ILC, SLAC plans to develop an rf test gun to demonstrate the rf operating conditions suitable for an activated GaAs cathode.

  13. Visualization of Fuel Cell Water Transport and Performance Characterization under Freezing Conditions

    SciTech Connect (OSTI)

    Kandlikar, S.G.; Lu, Z.; Rao, N.; Sergi, J.; Rath, C.; Dade, C.; Trabold, T.; Owejan, J.; Gagliardo, J.; Allen, J.; Yassar, R.S.; Medici, E.; Herescu, A.

    2010-05-30

    In this program, Rochester Institute of Technology (RIT), General Motors (GM) and Michigan Technological University (MTU) have focused on fundamental studies that address water transport, accumulation and mitigation processes in the gas diffusion layer and flow field channels of the bipolar plate. These studies have been conducted with a particular emphasis on understanding the key transport phenomena which control fuel cell operation under freezing conditions. Technical accomplishments are listed below: Demonstrated that shutdown air purge is controlled predominantly by the water carrying capacity of the purge stream and the most practical means of reducing the purge time and energy is to reduce the volume of liquid water present in the fuel cell at shutdown. The GDL thermal conductivity has been identified as an important parameter to dictate water accumulation within a GDL. Found that under the normal shutdown conditions most of the GDL-level water accumulation occurs on the anode side and that the mass transport resistance of the membrane electrode assembly (MEA) thus plays a critically important role in understanding and optimizing purge. Identified two-phase flow patterns (slug, film and mist flow) in flow field channel, established the features of each pattern, and created a flow pattern map to characterize the two-phase flow in GDL/channel combination. Implemented changes to the baseline channel surface energy and GDL materials and evaluated their performance with the ex situ multi-channel experiments. It was found that the hydrophilic channel (contact angle ? ? 10?) facilitates the removal of liquid water by capillary effects and by reducing water accumulation at the channel exit. It was also found that GDL without MPL promotes film flow and shifts the slug-to-film flow transition to lower air flow rates, compared with the case of GDL with MPL. Identified a new mechanism of water transport through GDLs based on Haines jump mechanism. The breakdown and redevelopment of the water paths in GDLs lead to an intermittent water drainage behavior, which is characterized by dynamic capillary pressure and changing of breakthrough location. MPL was found to not only limit the number of water entry locations into the GDL (thus drastically reducing water saturation), but also stabilizes the water paths (or morphology). Simultaneously visualized the water transport on cathode and anode channels of an operating fuel cell. It was found that under relatively dry hydrogen/air conditions at lower temperatures, the cathode channels display a similar flow pattern map to the ex-situ experiments under similar conditions. Liquid water on the anode side is more likely formed via condensation of water vapor which is transported through the anode GDL. Investigated the water percolation through the GDL with pseudo-Hele-Shaw experiments and simulated the capillary-driven two-phase flow inside gas diffusion media, with the pore size distributions being modeled by using Weibull distribution functions. The effect of the inclusion of the microporous layer in the fuel cell assembly was explored numerically. Developed and validated a simple, reliable computational tool for predicting liquid water transport in GDLs. Developed a new method of determining the pore size distribution in GDL using scanning electron microscope (SEM) image processing, which allows for separate characterization of GDL wetting properties and pore size distribution. Determined the effect of surface wettability and channel cross section and bend dihedral on liquid holdup in fuel cell flow channels. A major thrust of this research program has been the development of an optimal combination of materials, design features and cell operating conditions that achieve a water management strategy which facilitates fuel cell operation under freezing conditions. Based on our various findings, we have made the final recommendation relative to GDL materials, bipolar design and surface properties, and the combination of materials, design featur

  14. CX-007901: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft, and In-Ocean Observations CX(s) Applied: A9, A11, B3.1, B3.2 Date: 02/22/2012 Location(s): New York Offices(s): Golden Field Office

  15. CX-006557: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Differential Absorption Lidar (DIAL) for Spatial Mapping of Carbon DioxideCX(s) Applied: B3.8, B3.11Date: 08/17/2011Location(s): Toole County, MontanaOffice(s): Fossil Energy, National Energy Technology Laboratory

  16. Frequency agile optical parametric oscillator

    DOE Patents [OSTI]

    Velsko, S.P.

    1998-11-24

    The frequency agile OPO device converts a fixed wavelength pump laser beam to arbitrary wavelengths within a specified range with pulse to pulse agility, at a rate limited only by the repetition rate of the pump laser. Uses of this invention include Laser radar, LIDAR, active remote sensing of effluents/pollutants, environmental monitoring, antisensor lasers, and spectroscopy. 14 figs.

  17. CX-009575: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft and In-Ocean Observations CX(s) Applied: A9, B3.1, B3.2 Date: 12/12/2012 Location(s): New York Offices(s): Golden Field Office

  18. Advanced laser remote sensing

    SciTech Connect (OSTI)

    Schultz, J.; Czuchlewski, S.; Karl, R.

    1996-11-01

    This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory. Remote measurement of wind velocities is critical to a wide variety of applications such as environmental studies, weather prediction, aircraft safety, the accuracy of projectiles, bombs, parachute drops, prediction of the dispersal of chemical and biological warfare agents, and the debris from nuclear explosions. Major programs to develop remote sensors for these applications currently exist in the DoD and NASA. At present, however, there are no real-time, three-dimensional wind measurement techniques that are practical for many of these applications and we report on two new promising techniques. The first new technique uses an elastic backscatter lidar to track aerosol patterns in the atmosphere and to calculate three dimensional wind velocities from changes in the positions of the aerosol patterns. This was first done by Professor Ed Eloranta of the University of Wisconsin using post processing techniques and we are adapting Professor Eloranta`s algorithms to a real-time data processor and installing it in an existing elastic backscatter lidar system at Los Alamos (the XM94 helicopter lidar), which has a compatible data processing and control system. The second novel wind sensing technique is based on radio-frequency (RF) modulation and spatial filtering of elastic backscatter lidars. Because of their compactness and reliability, solid state lasers are the lasers of choice for many remote sensing applications, including wind sensing.

  19. Multi-center airborne coherent atmospheric wind sensor (MACAWS)

    SciTech Connect (OSTI)

    Rothermel, J.; Menzies, R.T.; Tratt, D.M.

    1996-11-01

    The Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) is an airborne scanning coherent Doppler lidar designed to acquire remote multi-dimensional measurements of winds and absolute aerosol backscatter in the troposphere and lower stratosphere. These measurements enable study of atmospheric dynamic processes and features at scales of motion that may be undersampled by, or may be beyond the capability of, existing or planned sensors. MACAWS capabilities enable more realistic assessments of concepts in global tropospheric wind measurement with satellite Doppler lidar, as well as a unique capability to validate the NASA Scatterometer currently scheduled for launch in late 1996. MACAWS consists of a Joule-class CO{sub 2} coherent Doppler lidar on a ruggedized optical table, a programmable scanner to direct the lidar beam in the desired direction, and a dedicated inertial navigation system to account for variable aircraft attitude and speed. MACAWS was flown for the first time in September 1995, over the eastern Pacific Ocean and western US. 33 refs., 2 figs.

  20. New non-Doppler remote sensing technique for 3-D wind field mapping

    SciTech Connect (OSTI)

    Belen`kii, M.S.; Gimmestad, G.G.; Gurvich, A.S.

    1994-12-31

    A new approach to the statistical analysis of fluctuating, photon-limited signals which permits one to accumulate and process the lidar returns without averaging of the reflected energy fluctuations is developed. In contrast to the traditional approach which uses the summation of the photon counts from multiple pulses, which results in averaging of the backscattered energy fluctuations, the new approach requires recording the photocounts for each pulse in a series of pulses and then determining photocount statistics. Based on the semiclassical theory of photodetection and Mandel`s formula, a relationship has been obtained between the time-space cross correlation function and the cross spectrum of the lidar returns and corresponding photocount statistics. It is shown that the relative uncertainties of measuring the cross correlation or the cross spectrum of the lidar returns is determined by the general number of photocounts, but not by their mean value. A fast-scanning lidar system, which is based on a new photocounting analysis approach, is described for 3-D wind field mapping in the atmosphere at altitudes up to 5 km. A program for the experimental verification of the new approach is presented.

  1. Cloud and aerosol characterization for the ARM central facility: Multiple remote sensor techniques development. Technical progress report

    SciTech Connect (OSTI)

    Sassen, K.

    1992-04-30

    This research project designed to investigate how atmospheric remote sensing technology can best be applied to the characterization of the cloudy atmosphere. Our research program addresses basic atmospheric remote sensing questions, but at the same time is clearly directed toward providing information crucial to the ARM (Atmospheric Remote Sensing) program and for application to the Clouds and Radiation Testbed (CART). The instrumentation that is being brought into play includes a variety of art-of-the-art sensors. Available at NOAA WPL are polarization Doppler K{sub a}-band (0.86 mm) and X-band (3.2 cm) radars, a C0{sub 2}(10.6 {mu}m) Doppler lidar with sequential ` polarization measurement capabilities, a three-channel (20.6, 31.65 and 90 GHz) microwave radiometer, and variety of visible and infrared radiometers. Instrumentation at the University of Utah Facility for Atmospheric Remote Sensing (FARS) includes a polarization ruby (0.643 {mu}m) lidar, a narrow-beam (0.14{degree}) mid-infrared (9.5--11.5 {mu}m) radiometer coaligned with the lidar, several other radiometers in the visible and infrared spectral regions, and an advanced two-color (1.06 and 0.532 {mu}m), four-channel Polarization Diversity Lidar (PDL) and all-sky video imaging system that have only recently been developed under the ARM IDP.

  2. Cloud and aerosol characterization for the ARM central facility: Multiple remote sensor techniques development

    SciTech Connect (OSTI)

    Sassen, K.

    1992-04-30

    This research project designed to investigate how atmospheric remote sensing technology can best be applied to the characterization of the cloudy atmosphere. Our research program addresses basic atmospheric remote sensing questions, but at the same time is clearly directed toward providing information crucial to the ARM (Atmospheric Remote Sensing) program and for application to the Clouds and Radiation Testbed (CART). The instrumentation that is being brought into play includes a variety of art-of-the-art sensors. Available at NOAA WPL are polarization Doppler K{sub a}-band (0.86 mm) and X-band (3.2 cm) radars, a C0{sub 2}(10.6 {mu}m) Doppler lidar with sequential ' polarization measurement capabilities, a three-channel (20.6, 31.65 and 90 GHz) microwave radiometer, and variety of visible and infrared radiometers. Instrumentation at the University of Utah Facility for Atmospheric Remote Sensing (FARS) includes a polarization ruby (0.643 {mu}m) lidar, a narrow-beam (0.14{degree}) mid-infrared (9.5--11.5 {mu}m) radiometer coaligned with the lidar, several other radiometers in the visible and infrared spectral regions, and an advanced two-color (1.06 and 0.532 {mu}m), four-channel Polarization Diversity Lidar (PDL) and all-sky video imaging system that have only recently been developed under the ARM IDP.

  3. CX-008207: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Field Evaluation and Validation of Remote Wind Sensing Technologies - Shore-Based and Buoy Mounted Light LIDAR Systems CX(s) Applied: A9, A11, B3.1, B3.16 Date: 03/26/2012 Location(s): New Jersey Offices(s): Golden Field Office

  4. Frequency agile optical parametric oscillator

    DOE Patents [OSTI]

    Velsko, Stephan P. (Livermore, CA)

    1998-01-01

    The frequency agile OPO device converts a fixed wavelength pump laser beam to arbitrary wavelengths within a specified range with pulse to pulse agility, at a rate limited only by the repetition rate of the pump laser. Uses of this invention include Laser radar, LIDAR, active remote sensing of effluents/pollutants, environmental monitoring, antisensor lasers, and spectroscopy.

  5. machol-99.PDF

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

    Compact Lidar to Profile Water Vapor in the Lower Troposphere J. L. Machol Cooperative Institute for Research in Environmental Sciences, University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado R. M. Hardesty National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado J. B. Abshire and M. A. Krainak National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt,

  6. CX-100075: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Unobtrusive Multi-static Serial LiDAR Imager (UMSLI) for Wide-area Surveillance and Identificaiton of Marine Life at MHK Installations Award: DE-EE0006787 CX(s) Applied: A9, B3.6 Water Power Program Date: 09/23/2014 Location(s): Florida Office(s): Golden Field Office

  7. INDIA

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

    Instruments AERI Atmospheric Emitted Radiance Interferometer Measurement Type: Radiometric View Plots AOS Aerosol Observing System Measurement Type: Aerosol View Plots DL Doppler Lidar Measurement Type: Cloud Properties View Plots GNDRAD Ground Radiometers on Stand for Upwelling Radiation Measurement Type: Radiometric View Plots MET Surface Meteorological Instrumentation Measurement Type: Surface Meteorology View Plots MFRSR Multifilter Rotating Shadowband Radiometer Measurement Type:

  8. University of Wisconsin - Madison Space Science and Engineering...

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

    radar can miss significant upper level cirrus. Case Study Lori Borg, lori.borg@ssec.wisc.edu Poster Plenary Talk: Wed, 9:40AM-10AM Poster: Wed, 5:30PM-8:30PM, 14C Radar & lidar...

  9. Microsoft Word - rl_handbook_v3_ARM-TR-038.doc

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

    8 Raman Lidar (RL) Handbook March 2009 R. K. Newsom Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research R. K. Newsom, March 2009, DOE/SC-ARM/TR-038 iii Contents 1. General Overview ............................................................................................................................... 1 2. Contacts

  10. ARM - Publications

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

    ... 29(3), doi: 10.1175jcli-d-15-0349.1. ARM Deng M, GG Mace, Z Wang, and E Berry. 2016. "CloudSat 2C-ICE product update with a new Z(e) parameterization in lidar-only region." ...

  11. 3-D MAPPING TECHNOLOGIES FOR HIGH LEVEL WASTE TANKS

    SciTech Connect (OSTI)

    Marzolf, A.; Folsom, M.

    2010-08-31

    This research investigated four techniques that could be applicable for mapping of solids remaining in radioactive waste tanks at the Savannah River Site: stereo vision, LIDAR, flash LIDAR, and Structure from Motion (SfM). Stereo vision is the least appropriate technique for the solids mapping application. Although the equipment cost is low and repackaging would be fairly simple, the algorithms to create a 3D image from stereo vision would require significant further development and may not even be applicable since stereo vision works by finding disparity in feature point locations from the images taken by the cameras. When minimal variation in visual texture exists for an area of interest, it becomes difficult for the software to detect correspondences for that object. SfM appears to be appropriate for solids mapping in waste tanks. However, equipment development would be required for positioning and movement of the camera in the tank space to enable capturing a sequence of images of the scene. Since SfM requires the identification of distinctive features and associates those features to their corresponding instantiations in the other image frames, mockup testing would be required to determine the applicability of SfM technology for mapping of waste in tanks. There may be too few features to track between image frame sequences to employ the SfM technology since uniform appearance may exist when viewing the remaining solids in the interior of the waste tanks. Although scanning LIDAR appears to be an adequate solution, the expense of the equipment ($80,000-$120,000) and the need for further development to allow tank deployment may prohibit utilizing this technology. The development would include repackaging of equipment to permit deployment through the 4-inch access ports and to keep the equipment relatively uncontaminated to allow use in additional tanks. 3D flash LIDAR has a number of advantages over stereo vision, scanning LIDAR, and SfM, including full frame time-of-flight data (3D image) collected with a single laser pulse, high frame rates, direct calculation of range, blur-free images without motion distortion, no need for precision scanning mechanisms, ability to combine 3D flash LIDAR with 2D cameras for 2D texture over 3D depth, and no moving parts. The major disadvantage of the 3D flash LIDAR camera is the cost of approximately $150,000, not including the software development time and repackaging of the camera for deployment in the waste tanks.

  12. Technical Assistance to Developers

    SciTech Connect (OSTI)

    Rockward, Tommy; Borup, Rodney L.; Garzon, Fernando H.; Mukundan, Rangachary; Spernjak, Dusan

    2012-07-17

    This task supports the allowance of technical assistance to fuel-cell component and system developers as directed by the DOE. This task includes testing of novel materials and participation in the further development and validation of single cell test protocols. This task also covers technical assistance to DOE Working Groups, the U.S. Council for Automotive Research (USCAR) and the USCAR/DOE Driving Research and Innovation for Vehicle efficiency and Energy sustainability (U.S. Drive) Fuel Cell Technology Team. Assistance includes technical validation of new fuel cell materials and methods, single cell fuel cell testing to support the development of targets and test protocols, and regular advisory participation in other working groups and reviews. This assistance is made available to PEM fuel cell developers by request and DOE Approval. The objectives are to: (1) Support technically, as directed by DOE, fuel cell component and system developers; (2) Assess fuel cell materials and components and give feedback to developers; (3) Assist the DOE Durability Working Group with the development of various new material durability Testing protocols; and (4) Provide support to the U.S. Council for Automotive Research (USCAR) and the USCAR/DOE Fuel Cell Technology Team. FY2012 specific technical objectives are: (1) Evaluate novel MPL materials; (2) Develop of startup/ shutdown protocol; (3) Test the impact of hydrophobic treatment on graphite bi-polar plates; (4) Perform complete diagnostics on metal bi-polar plates for corrosion; and (5) Participate and lead efforts in the DOE Working Groups.

  13. LHC, le Big Bang en éprouvette

    ScienceCinema (OSTI)

    None

    2011-10-06

    Notre compréhension de l?Univers est en train de changer? Bar des Sciences - Tout public Débat modéré par Marie-Odile Montchicourt, journaliste de France Info. Evenement en vidéoconférence entre le Globe de la science et de l?innovation, le bar le Baloard de Montpellier et la Maison des Métallos à Paris. Intervenants au CERN : Philippe Charpentier et Daniel Froideveaux, physiciens au CERN. Intervenants à Paris : Vincent Bontemps, philosophe et chercheur au CEA ; Jacques Arnould, philosophe, historien des sciences et théologien, Jean-Jacques Beineix, réalisateur, producteur, scénariste de cinéma. Intervenants à Montpellier (LPTA) : André Neveu, physicien théoricien et directeur de recherche au CNRS ; Gilbert Moultaka, physicien théoricien et chargé de recherche au CNRS. Partenariat : CERN, CEA, IN2P3, Université MPL2 (LPTA) Dans le cadre de la Fête de la science 2008

  14. Self-bunching electron guns

    SciTech Connect (OSTI)

    Mako, F.; Len, L. K.; Peter, W.

    1999-07-12

    We report on three electron gun projects that are aimed at power tube and injector applications. The purpose of the work is to develop robust electron guns which produce self-bunched, high-current-density beams. We have demonstrated cold emission, long life, and tolerance to contamination. The cold emission process is based on secondary electron emission. FMT has studied this resonant bunching process which gives rise to high current densities (0.01-5 kA/cm{sup 2}), high charge bunches (up to 100 nC/bunch), and short pulses (1-100 ps) for frequencies from 1 to 12 GHz. The beam pulse width is nominally {approx}5% of the rf period. The first project is the L-Band Micro-Pulse Gun (MPG). Measurements show {approx}40 ps long micro-bunches at {approx}20 A/cm{sup 2} without contamination due to air exposure. Lifetime testing has been carried out for about 18 months operating at 1.25 GHz for almost 24 hours per day at a repetition rate of 300 Hz and 5 {mu}s-long macro-pulses. About 5.8x10{sup 13} micro-bunches or {approx}62,000 coulombs have passed through this gun and it is still working fine. The second project, the S-Band MPG{sup {dagger}}, is now operational. It is functioning at a frequency of 2.85 GHz, a repetition rate of 30 Hz, with a 2 {mu}s-long macro-pulse. It produces about 150 A/cm{sup 2}. The third project involves the construction of a 34.2 GHz frequency-multiplied source driven by an X-Band MPG. Analytical work has been carried out on this device, and we are ready to proceed with design, fabrication, and testing.

  15. The Aerosol Lidar Validation Experiment … ALIVE 1Schmid, B., 2Ferrare, R., 3Turner,D., 4Flynn, C., 5Cairns, B., 6Dominguez, R., 6Gore, W., 7Groff, D., 8Herman, B., 9Hovelman, B., 10Jefferson, A., 6Johnson, R., 5Knobelspiesse, K., 4Mendoza, A., 10Ogren, J., 4Petty, D., ?Russell, E., 6Russell, P., 4Roeder, L., 6Truong, N. 1BAER Institute, 2NASA Langley Res. Center, 3Univ. Of Wisconsin-Madison, 4Pacific Northwest Natl. Lab., 5Columbia Univ., 6NASA Ames Res. Center, 7ARM SGP, 8City Univ. of New York, 9Sky Research, Inc., 10NOAA CMDL

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

  16. Symposium on Lower Tropospheric Profiling: Needs and Technologies, 1st, Boulder, CO, May 31-June 3, 1988, Papers

    SciTech Connect (OSTI)

    Dabberdt, W.F.; Hardesty, R.M.

    1989-10-01

    Papers on lower tropospheric profiling are presented, covering topics such as horizontal resolution needs for adequate lower tropospheric profiling with atmospheric systems forced by horizontal gradients in surface heating, meteorological data requirements for modeling air quality uncertainties, and kinematic quantities derived from a triangle of VHF Doppler wind profilers. Other topics include the intercomparison of wind measurements from two acoustic Doppler sodars, a laser Doppler radar, and in situ sensors, studying precipitation processes in the troposphere with an FM-CW radar, Doppler lidar measurements of profiles of turbulence and momentum flux, and airborne Doppler lidar measurements of the extended California sea breeze. Additional subjects include DIAL tropospheric ozone measurement using a Nd:YAG laser and the Raman shifting technique, design considerations for a network of thermodynamic profilers, nonredundant frequencies for ground-based microwave radiometric temperature profiling, and the sounding range of a 1-m wavelength radio acoustic sounder.

  17. Coherent imaging with two-dimensional focal-plane arrays: design and applications

    SciTech Connect (OSTI)

    Simpson, M.L.; Bennett, C.A.; Emery, M.S.; Hutchinson, D.P.; Miller, G.H.; Richards, R.K.; Sitter, D.N.

    1997-09-01

    Scanned, single-channel optical heterodyne detection has been used in a variety of lidar applications from ranging and velocity measurements to differential absorption spectroscopy. We describe the design of a coherent camera system that is based on a two-dimensional staring array of heterodyne receivers for coherent imaging applications. Experimental results with a single HgCdTe detector translated in the image plane to form a synthetic two-dimensional array demonstrate the ability to obtain passive heterodyne images of chemical vapor plumes that are invisible to normal video infrared cameras. We describe active heterodyne imaging experiments with use of focal-plane arrays that yield hard-body Doppler lidar images and also demonstrate spatial averaging to reduce speckle effects in static coherent images. {copyright} 1997 Optical Society of America

  18. Remote laser detection of natural gas leakages from pipelines

    SciTech Connect (OSTI)

    Petukhov, V O; Gorobets, V A; Andreev, Yu M; Lanskii, G V

    2010-02-28

    A differential absorption lidar based on a tunable TEA CO{sub 2} laser emitting at 42 lines of the 'hot' 01{sup 1}1 - 11{sup 1}0 band in the range from 10.9 to 11.4 {mu}m is developed for detecting natural gas leakages from oil pipelines by measuring the ethane content in the atmosphere. The ethane detection sensitivity is 0.9 ppm km. The presence of methane does not distort the measurement results. The developed lidar can detect the natural gas leakage from kilometre heights at the flying velocities up to 200 km h{sup -1} and a probe pulse repetition rate of 5 Hz. (laser applications and other topics in quantum electronics)

  19. Section 48

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

    5 Raman Lidar Measurements of Aerosols and Water Vapor S.H. Melfi University of Maryland - Baltimore County Baltimore, Maryland R.A. Ferrare and K.D. Evans Hughes STX, Lanham, Maryland D. Whiteman, D.O'C Starr, and G. Schwemmer National Aeronautical and Space Administration/Goddard Space Flight Center Greenbelt, Maryland R. Ellingson University of Maryland College Park, Maryland E. Browell National Aeronautical and Space Administration/Langley Research Center Hampton, Virginia W. Feltz and W.L.

  20. Section 87

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

    3 Results of Long-Term Lidar Observation of Eruption Aerosol Formations in the Stratosphere Over Tomsk After the Mount Pinatubo Eruption V.V. Zuev, V.D. Burlakov, and A.V. El'nikov Institute of Atmospheric Optics, Tomsk, Russia Introduction The investigations of scattering and absorbing characteristics of stratospheric aerosol layer after high-power volcanic eruptions make it possible to separate out and evaluate the influence of anomalous high aerosol concentrations on the radiation transfer in

  1. Section 87

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

    9 Figure 1. The Tiwi Islands (Melville and Bathurst) lie off Australia's northern coast. The instruments were situated at Pularumpi, on the west coast of Melville Island. Retrieval of Tropical Cirrus Cloud Properties from Ground- Based Lidar and Millimeter-Wave Radar Sensing at the Maritime Continent Thunderstorm Experiment R. T. Austin, S. A. Young, C.M.R. Platt and G. R. Patterson CSIRO, Division of Atmospheric Research Aspendale, Victoria, Australia S. M. Sekelsky and R. E. McIntosh Microwave

  2. Slide 1

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

    Initial Results from the High Spectral Resolution Lidar (HSRL) Observations from CHAPS Funded by NASA HQ Science Mission Directorate Radiation Sciences Program Funded by Department of Energy Atmospheric Radiation Measurement Program Atmospheric Science Program Mike Obland, Chris Hostetler, Richard Ferrare, John Hair, Anthony Cook, David Harper NASA Langley Research Center Ray Rogers, Sharon Burton, Marian Clayton, Wenying Su SSAI/NASA Langley Research Center ARM Science Team Meeting March 10,

  3. ARM - Facility News Article

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

    28, 2005 [Facility News] Readiness of New Lidar Evaluated at Southern Great Plains Site Bookmark and Share Aircraft for the Boundary Layer CO2 Intensive Operational Period will fly over the SGP Central Facility using both spirals and racetrack patterns. Data will be collected under a variety of cloud and meteorological conditions. As the focus of the Boundary Layer Carbon Dioxide (CO2) Intensive Operational Period (IOP) starting in March, science collaborators at ITT Industries and the National

  4. PowerPoint Presentation

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

    Height (km) Reflectivity Best Estimate Clutter Flag Hour (UTC) ARSCL MMCR Reflectivity The ARSCL Suite of VAPs Karen Johnson 1 , Pavlos Kollias 1 , Ed Luke 1 , Eugene Clothiaux 2 , Mike Jensen 1 , Mark Miller 1 1 Brookhaven National Laboratory 2 Pennsylvania State University What is ARSCL? Active Remote Sensing of CLouds The ARSCL Value-Added Product combines * MMCR moments * Lidar * Ceilometer * Surface measurements to determine cloud locations and properties. Available at all fixed sites.

  5. Lasers '90: Proceedings of the 13th International Conference on Lasers and Applications, San Diego, CA, Dec. 10-14, 1990

    SciTech Connect (OSTI)

    Harris, D.G.; Herbelin, J. Aerospace Corp., Los Angeles, CA )

    1991-01-01

    The general topics considered are: x-ray lasers; FELs; solid state lasers; techniques and phenomena of ultrafast lasers; optical filters and free space laser communications; discharge lasers; tunable lasers; applications of lasers in medicine and surgery; lasers in materials processing; high power lasers; dynamics gratings, wave mixing, and holography; up-conversion lasers; lidar and laser radar; laser resonators; excimer lasers; laser propagation; nonlinear and quantum optics; blue-green technology; imaging; laser spectroscopy; chemical lasers; dye lasers; and lasers in chemistry.

  6. Research Highlight

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

    "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

  7. ARM - Publications: Science Team Meeting Documents: Stratocumulus cell size

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

    and emittance at the ARM TWP Darwin site - implications for observations from CALIPSO Stratocumulus cell size and emittance at the ARM TWP Darwin site - implications for observations from CALIPSO Platt, C. Colorado State University and CSIRO Atmospheric Research Bennett, John CSIRO Atmospheric Research The NASA CALIPSO satellite instrument due to be launched in mid-2005 will carry a two-wavelength polarisation lidar and a scanning filter infrared radiometer viewing in the nadir. Preliminary

  8. ARM - Facility News Article

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

    7, 2015 [Facility News] New Virtual Tour Takes ARM Users to the "Top of the World" Bookmark and Share Featured in the virtual tour, the Great White Instrument Platform houses the most instruments of any installation at ARM's NSA site, including five radiometers, two radars, two lidars, a total sky imager, and an infrared thermometer. Featured in the virtual tour, the Great White Instrument Platform houses the most instruments of any installation at ARM's NSA site, including five

  9. ARM - Facility News Article

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

    Aircraft Comes ALIVE During Field Campaign at the Southern Great Plains Bookmark and Share Outside the hangar in Ponca City, Oklahoma, the optical head of the AATS-14 (inset) can be seen as the white dome on the roof of the Jetstream-31 aircraft Researchers from ARM Program and National Aeronautical and Space Administration (NASA) took to the skies in September for an 11-day Aerosol Lidar Validation Experiment (ALIVE) at the ARM Southern Great Plains (SGP) site. The ALIVE field campaign was

  10. ARM - Field Campaign - Observations and Modeling of the Green Ocean Amazon

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

    (GOAMAZON) Amazon (GOAMAZON) Campaign Links GOAMAZON Website ARM Manacapuru Deployment Page ARM Data Discovery Browse Data Related Campaigns Observations and Modeling of the Green Ocean Amazon - Hi-Vol Filter Sampling 2015.03.13, de Mello Dias Machado, AMF Observations and Modeling of the Green Ocean Amazon: LIDAR Comparison 2014.10.05, Barbosa, AMF Observations and Modeling of the Green Ocean Amazon: Oxidation Flow Reactor 2 2014.08.15, Palm, AMF Observations and Modeling of the Green Ocean

  11. ARM - Publications: Science Team Meeting Documents

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

    Retrieval of Ice Water Path, Ice Particle Size, and Shape Mitchell, D.L., Arnott, W.P., and Ivanova, D.C., Desert Research Institute Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Ground based retrievals of ice water path, particle size and shape are needed for testing and generating improvements in cloud resolving models and GCMs, a long-standing goal of the ARM program. The lidar/radiometer (LIRAD) method developed by Martin Platt has recently been generalized for using

  12. ARM - Publications: Science Team Meeting Documents

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

    Optical Remote Sensing Research at Montana State University Shaw, J.A., Repasky, K., and Carlsten, J.A., Montana State University Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting We describe a new, growing research program at Montana State University in Bozeman, Montana in development and application of optical remote sensors, including lidars and radiometers. The remote sensor program builds on well-established expertise in laser development. Current activities include:

  13. 2014 WIND POWER PROGRAM PEER REVIEW-RESOURCE CHARACTERIZATION

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

    Resource Characterizations March 24-27, 2014 Wind Energy Technologies PR-5000-62152 2 Contents Resource Characterization Inflow Characterization Tasks-Patrick Moriarty, National Renewable Energy Laboratory An integrated approach to offshore wind energy assessment: Great Lakes 3D Wind Experiment-R.J. Barthelmie, Indiana University Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft, and In-Ocean Observations- Brian A. Colle, Stony Brook University

  14. HSRL mass estimate based on CALIPSO

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

    OBSERVATIONS FROM THE NASA LANGLEY AIRBORNE HIGH SPECTRAL RESOLUTION LIDAR AND PLANS FOR ACTIVE-PASSIVE AEROSOL-CLOUD RETRIEVALS Chris A. Hostetler, Richard A. Ferrare, John W. Hair, Raymond R. Rogers, Mike Obland, Sharon P. Burton, Wenying Su, Anthony L. Cook, David B. Harper NASA HQ Science Mission Directorate Radiation Sciences Program Environmental Protection Agency (EPA) NASA CALIPSO Project Sponsors Department of Energy Atmospheric Science Program Texas Commission on Environmental Quality

  15. platt-99.PDF

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

    Determining Tropical Cirrus Particle Size Distributions from Remote Sensing with Lidar, Millimeter Radar and Infrared and Microwave Radiometry C.M.R. Platt and R. T. Austin Department of Atmospheric Science Colorado State University Fort Collins, Colorado S. M. Sekelsky Department of Electrical and Computer Engineering University of Massachusetts Amherst, Massachusetts D. L. Mitchell Atmospheric Sciences Center, Desert Research Institute Reno, Nevada S. A. Young Commonwealth Scientific and

  16. sassen-99.PDF

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

    Need for a Universal Cloud Property Algorithm for Active Remote Sensors K. Sassen and Z. Wang University of Utah Salt Lake City, Utah Introduction Lidar and radar measurements of cloud properties (e.g., cloud boundaries, phase, vertically resolved and integrated mass content, optical depth, etc.) are increasingly being relied on in modern climate-related research programs and are a keystone of the Atmospheric Radiation Measurement (ARM) Cloud and Radiation Testbed (CART) atmospheric measurement

  17. spinhirne-99.PDF

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

    Retrieval Comparison During the SGP Summer '98 IOP From Multiple Lidar Probing J. D. Spinhirne National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt, Maryland J. R. Campbell and D. L. Hlavka Science Systems and Applications, Inc. Greenbelt, Maryland R. A. Ferrare National Aeronautics and Space Administration Langley Research Center Norfolk, Virginia D. D. Turner and C. J. Flynn Pacific Northwest National Laboratory Richland, Washington Introduction As part of the

  18. whiteman-pdf

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

    Cloud Liquid Water and Particle Size Detection Using a Raman Lidar D. N. Whiteman National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt, Maryland S. H. Melfi University of Maryland Baltimore, Maryland Introduction Due to the great radiative capacity of clouds and the difficulty associated with modeling them, cloud research is a central part of the Atmospheric Radiation Measurement (ARM) Program. Accurate in situ and remote measurements of cloud properties are needed

  19. zuev(1)-99.PDF

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

    Statistical Characteristics of One- and Two-Layer Cloudiness Based on Laser Sounding Data V. V. Zuev, V. D. Burlakov, and A. V. El'nikov Institute of Atmospheric Optics Tomsk, Russia Introduction Earlier lidar observations of the middle- and high-level clouds, conducted as part of the Atmospheric Radiation Measurement (ARM) Program, frequently revealed a significant relationship between the cloud layers, including those located at different atmospheric levels. At the same time, current models of

  20. Cloud Properties from Doppler Radar Spectra - a Growing Suite of Information Extraction Algorithms

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

    from Doppler Radar Spectra - a Growing Suite of Information Extraction Algorithms Edward Luke 1 , Pavlos Kollias 2 , Matthew Shupe 3 , Karen Johnson 1 , Eugene Clothiaux 4 1. Brookhaven National Laboratory 2. McGill University 3. CIRES/NOAA/ETL 4. Penn State University C F B A E D Lidar Prediction Algorithm Depolarization C F B A E D Backscatter DOPPLER RADAR SPECTRA HYDROMETEOR PHASE CLASSIFICATION MIXED LIQUID SOLID MIXED LIQUID SOLID Shupe Multi-instrument Technique Doppler Radar Spectra

  1. ARM - Science Questions

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

    Science Questions Related Links CLASIC Home AAF Home ARM Data Discovery Browse Data Post-Campaign CLASIC/CHAPS Special Session at AGU Annual Meeting, December 15-19 CLASIC Workshop, March 26-27 Data Sets Deployment Resources Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract Science Questions Science and Implementation Plan (pdf) Measurement Platforms (pdf) CLASIC-Land

  2. ARM - Sponsors

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

    Sponsors Related Links CLASIC Home AAF Home ARM Data Discovery Browse Data Post-Campaign CLASIC/CHAPS Special Session at AGU Annual Meeting, December 15-19 CLASIC Workshop, March 26-27 Data Sets Deployment Resources Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract Science Questions Science and Implementation Plan (pdf) Measurement Platforms (pdf) CLASIC-Land Experiment Plan

  3. January 2013 Most Viewed Documents for Environmental Sciences | OSTI, US

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

    Dept of Energy, Office of Scientific and Technical Information January 2013 Most Viewed Documents for Environmental Sciences Horizontal Advanced Tensiometer Hubbell, Joel M.; Sisson, James B. 2 micron LIDAR for laser-based remote sensing: Flight demonstration and application survey Wagener, T.J.; Demma, N.; Kmetec, J.D.; Kubo, T.S. [Honeywell Technology Cent, Bloomington, MN (United States)] Streamflow and selected precipitation data for Yucca Mountain and vicinity, Nye County, Nevada, water

  4. Estimating Three-Dimensional Cloudy Radiative Transfer Effects from Time-Height Cross Sections

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

    Estimating Three-Dimensional Cloudy Radiative Transfer Effects from Time-Height Cross Sections C. Hannay and R. Pincus National Oceanic and Atmospheric Administration Climate Diagnostics Center Boulder, Colorado K. F. Evans Program in Atmospheric and Oceanic Sciences University of Colorado Boulder, Colorado Introduction Clouds in the atmosphere are finite in extent and variable in every direction and in time. Long data sets from ground-based profilers, such as lidars or cloud radars, could

  5. ER2 Instrumentation and Measurements for CLASIC (Cloud Land Surface Interaction Campaign) June-2007 SGP {Author-Jimmy Voyles}

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

    ER2 Desired Measurements for CLASIC June 2007 SGP May 31, 2007 1 MEASUREMENT SOURCE DESIRED MEASUREMENTS AND PRODUCTS INSTRUMENT SYSTEMS Cloud Radar System (CRS), W-Band (95 GHz) 1) Vertical profiles of calibrated radar reflectivity 2) Vertical profiles of Doppler velocity 3) Vertical profiles of estimated IWC 4) Vertical profiles of linear depolarization ratio 5) (ASCII files and quick look plots for all of the above quantities) Resolution: 5 sec resolution? Cloud Physics Lidar (CPL) (1064,

  6. ARM - Evaluation Product - HSRL Corrected for Ship Motion (HSRLSHIPCOR)

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

    ProductsHSRL Corrected for Ship Motion (HSRLSHIPCOR) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : HSRL Corrected for Ship Motion (HSRLSHIPCOR) [ ARM research - evaluation data product ] The High Spectral Resolution Lidar (HSRL) Ship Correction (HSRLSHIPCOR) VAP is intended to correct the effect of ship

  7. ARM - Mission Summary Journal

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

    Mission Summary Journal Related Links CLASIC Home AAF Home ARM Data Discovery Browse Data Post-Campaign CLASIC/CHAPS Special Session at AGU Annual Meeting, December 15-19 CLASIC Workshop, March 26-27 Data Sets Deployment Resources Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract Science Questions Science and Implementation Plan (pdf) Measurement Platforms (pdf) CLASIC-Land

  8. ARM - CLASIC Measurement Platforms

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

    Measurement Platforms Related Links CLASIC Home AAF Home ARM Data Discovery Browse Data Post-Campaign CLASIC/CHAPS Special Session at AGU Annual Meeting, December 15-19 CLASIC Workshop, March 26-27 Data Sets Deployment Resources Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract Science Questions Science and Implementation Plan (pdf) Measurement Platforms (pdf) CLASIC-Land

  9. ARM - Campaign Instrument - rl

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

    govInstrumentsrl Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Raman Lidar (RL) Instrument Categories Aerosols, Atmospheric Profiling Campaigns Remote Cloud Sensing (RCS) Field Evaluation [ Download Data ] Southern Great Plains, 1994.04.01 - 1994.05.31 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the datastream (netcdf) file headers for the list of all

  10. ARM - Campaign Instrument - twin-otter-li-prof

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

    govInstrumentstwin-otter-li-prof Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Twin Otter Lidar Profiles (TWIN-OTTER-LI-PROF) Instrument Categories Aerosols, Atmospheric Profiling, Cloud Properties Campaigns Tropical Warm Pool - International Cloud Experiment (TWP-ICE) [ Download Data ] Tropical Western Pacific, 2006.01.21 - 2006.02.13 Primary Measurements Taken The following measurements are those considered

  11. ARM - Campaign Instrument - uv-mfrsr

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

    mfrsr Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Ultraviolet Multifilter Rotating Shadowband Radiometer (UV-MFRSR) Instrument Categories Radiometric Campaigns Aerosol IOP [ Download Data ] Southern Great Plains, 2003.05.01 - 2003.05.31 Aerosol Lidar Validation Experiment - ALIVE [ Download Data ] Southern Great Plains, 2005.09.12 - 2005.09.22 Primary Measurements Taken The following measurements are those considered

  12. ARM - Cloud and Land Surface Interaction Campaign (CLASIC)

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

    Campaign (CLASIC) Related Links CLASIC Home AAF Home ARM Data Discovery Browse Data Post-Campaign CLASIC/CHAPS Special Session at AGU Annual Meeting, December 15-19 CLASIC Workshop, March 26-27 Data Sets Deployment Resources Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract Science Questions Science and Implementation Plan (pdf) Measurement Platforms (pdf) CLASIC-Land

  13. Lagrangian Diagnostics of Tropical Cirrus over TWP CART Sites

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

    Lagrangian Diagnostics of Tropical Cirrus over TWP CART Sites Horvath, Akos University of Miami Soden, Brian UM/RSMAS Category: Cloud Properties Cirrus clouds associated with tropical deep convection play an important role in regulating Earth's climate by influencing the radiative and moisture budgets of the upper troposphere. In this study, we sought to better understand the evolution of such clouds using geostationary satellite observations coupled with ground-based radar and lidar

  14. Microsoft Word - taniguchi_k.doc

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

    Boundary Layer Water Vapor Variations at the Southern Great Plains Site Derived from Multiyear Raman Lidar Measurements K. Taniguchi and Z. Wang Department of Atmospheric Science University of Wyoming Laramie, Wyoming Introduction Lately, climate change has become a major concern for our society. However, it is not easy to understand the climate entirely as it is the accumulative result of the earth system (both anthropogenic and natural effects). As awareness of the complexity of the earth

  15. Measurements and model calculations of radiative fluxes for the Cabauw

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

    Experimental Site for Atmospheric Research, the Netherlands Measurements and model calculations of radiative fluxes for the Cabauw Experimental Site for Atmospheric Research, the Netherlands Knap, Wouter Royal Netherlands Meteorological Institute KNMI Los, Alexander KNMI Boers, Reinout KNMI Category: Radiation The Cabauw Experimental Site for Atmospheric Research (CESAR), the Netherlands (52.0N, 4.9E), contains an extensive set of instruments for atmospheric research, such as radar, lidar

  16. Microsoft PowerPoint - ARM_Trepte.ppt [Compatibility Mode]

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

    Results y from CALIPSO CALIPSO Chip Trepte Chip Trepte NASA Langley Research Center 1 with help from: M. Vaughan, A. Omar, B. Hunt, K. Powell, B. Pierce, O. Torres, K. McCann, R. Hoff, M. Pitts, S. Ackermann, R. Holz,,, C. Hostetler, Z. Liu, R. Ferrare, J. Mace, and D. Winker CALIPSO Mission Overview First polarization lidar in space Joint NASA-CNES collaboration Proposed: 1998 Objectives: Improved understanding of aerosol and cloud effects on radiation budget Improved understanding of

  17. Microsoft PowerPoint - donovan_arm.ppt [Compatibility Mode]

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

    EarthCARE Simulator: A unified Active and Passive Atmospheric Remote sensing End-to-End Simulation System End to End Simulation System D.Donovan KNMI Contributions from many others.... Outline The Earth Clouds and Radiation Explorer Mission The EarthCARE simulator. Sample Applications. New (ground-based) developments Future of the simulator. Conclusion Monterey March, 2007 Active Atmospheric Cloud/Aerosol/Rad. missions A-train CloudSAT (Cloud radar) CALIPSO (Lidar) Launched ! ADM (Atmospheric

  18. ARM - Instrument Datastreams

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

    govDataInstrument Datastreams Measurement Categories Select below to highlight datastreams in specified measurement categories. Aerosols The effect of aerosols is measured by instrument systems and lidars that provide data on the size distribution, optical properties, scattering, and extinction of aerosols. Atmospheric Carbon Measurements of atmospheric carbon are obtained from samples collected at the Southern Great Plains site. For more information about these measurements, see the ARM Carbon

  19. ARM - Measurements

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

    govMeasurements Measurement Categories Select below to highlight measurements in specified measurement categories. Aerosols The effect of aerosols is measured by instrument systems and lidars that provide data on the size distribution, optical properties, scattering, and extinction of aerosols. microphysical and chemical properties optical and radiative properties Atmospheric Carbon Measurements of atmospheric carbon are obtained from samples collected at the Southern Great Plains site. For more

  20. Continuous Profiles of Cloud Microphysical Properties for the Fixed Atmospheric Radiation Measurement Sites

    SciTech Connect (OSTI)

    Jensen, M; Jensen, K

    2006-06-01

    The Atmospheric Radiation Measurement (ARM) Program defined a specific metric for the third quarter of Fiscal Year 2006 to produce and refine a one-year continuous time series of cloud microphysical properties based on cloud radar measurements for each of the fixed ARM sites. To accomplish this metric, we used a combination of recently developed algorithms that interpret radar reflectivity profiles, lidar backscatter profiles, and microwave brightness temperatures into the context of the underlying cloud microphysical structure.