Sample records for lidar profiles-temperature rlproftemp

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

    SciTech Connect (OSTI)

    Newsom, RK; Sivaraman, C; McFarlane, SA

    2012-10-31T23:59:59.000Z

    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.

  2. Lidar Report

    SciTech Connect (OSTI)

    Wollpert.

    2009-04-01T23:59:59.000Z

    This report provides an overview of the LiDAR acquisition methodology employed by Woolpert on the 2009 USDA - Savannah River LiDAR Site Project. LiDAR system parameters and flight and equipment information is also included. The LiDAR data acquisition was executed in ten sessions from February 21 through final reflights on March 2, 2009; using two Leica ALS50-II 150kHz Multi-pulse enabled LiDAR Systems. Specific details about the ALS50-II systems are included in Section 4 of this report.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganizationElectronic Reading2Q)38232 Revision

  4. ARM - VAP Product - 10rlproftemp1news

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by Microtops AtmosphericApplication andAnthe Infraredturn Documentation Data

  5. ARM - VAP Product - 60rlproftemp1news

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by MicrotopsProductsmwravg5mwravg Documentation Data Management Facility Plots (Quick

  6. Micropulse Lidar (MPL) Handbook

    SciTech Connect (OSTI)

    Mendoza, A; Flynn, C

    2006-05-01T23:59:59.000Z

    The micropulse lidar (MPL) is a ground-based optical remote sensing system designed primarily to determine the altitude of clouds overhead. The physical principle is the same as for radar. 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 infered. Besides real-time detection of clouds, post-processing of the lidar return can also characterize the extent and properties of aerosol or other particle-laden regions.

  7. Doppler Lidar (DL) Handbook

    SciTech Connect (OSTI)

    Newsom, RK

    2012-02-13T23:59:59.000Z

    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.

  8. airborne oceanographic lidar: Topics by E-print Network

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

    Channels Landslides Spatial Cognition The emergence of airborne lidar data cognition and perception, we also explore the notion that the ongoing use of lidar enables...

  9. Lidar characterization of crystalline silica generation and gravel plant

    E-Print Network [OSTI]

    Trzepla-Nabaglo, K.; Shiraki, R.; Holm'en, B. A.

    2006-01-01T23:59:59.000Z

    The lidar vertical pro?les and wind speed data were used toof wind speed and concentration (based on lidar verticalvertical plane at a given height, z, was calculated as the product of the wind speed

  10. Raman lidar/AERI PBL Height Product

    SciTech Connect (OSTI)

    Ferrare, Richard

    2012-12-14T23:59:59.000Z

    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.

  11. 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.

  12. Systematic Sampling of Scanning Lidar Swaths

    E-Print Network [OSTI]

    Marcell, Wesley Tyler

    2011-02-22T23:59:59.000Z

    Popescu Proof of concept lidar research has, to date, examined wall-to-wall models of forest ecosystems. While these studies have been important for verifying lidars efficacy for forest surveys, complete coverage is likely not the most cost effective... year of my graduate studies. Also, to Jin Zhu and the other members of the Aerial Photography project at the Texas Forest Service for opening my eyes to the practical uses of GIS and remote sensing, their encouragement for me to obtain a graduate...

  13. Micropulse Lidar Cloud Mask Value-Added Product Technical Report

    SciTech Connect (OSTI)

    Sivaraman, C; Comstock, J

    2011-07-25T23:59:59.000Z

    Lidar backscattered signal is a useful tool for identifying vertical cloud structure in the atmosphere in optically thin clouds. Cloud boundaries derived from lidar signals are a necessary input for popular ARM data products, such as the Active Remote Sensing of Clouds (ARSCL) product. An operational cloud boundary algorithm (Wang and Sassen 2001) has been implemented for use with the ARM Micropulse Lidar (MPL) systems. In addition to retrieving cloud boundaries above 500 m, the value-added product (VAP) named Micropulse Lidar Cloud Mask (MPLCMASK) applies lidar-specific corrections (i.e., range-square, background, deadtime, and overlap) as described in Campbell et al. (2002) to the measured backscattered lidar. Depolarization ratio is computed using the methodology developed by Flynn et al. (2007) for polarization-capable MPL systems. The cloud boundaries output from MPLCMASK will be the primary lidar cloud mask for input to the ARSCL product and will be applied to all MPL systems, including historical data sets.

  14. E-Print Network 3.0 - airborne lidar measurements Sample Search...

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

    airborne INSAR is 2-5 m over... . However, LIDAR has potential as a complementary measurement to INSAR. The LIDAR data used in this study... estimate and the adjacent LIDAR ......

  15. Lidar techniques for search and rescue

    SciTech Connect (OSTI)

    Cabral, W.L.

    1985-01-01T23:59:59.000Z

    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. Ris-PhD-Report Complex Terrain and Wind Lidars

    E-Print Network [OSTI]

    calculations over the same terrains. The lidar performance was also simulated with the commercial software WAs;#12;Author: Ferhat BingÜl Title: Complex terrain and wind lidars Division: Wind Energy Division Risø-PhD-52 and the comparison of the measurement data with the flow model outputs showed that the mean wind speed calculated

  17. EN-025 Tools & Applications December 2008 Lidar Remote Sensing

    E-Print Network [OSTI]

    IS LIDAR? Lidar (light detection and ranging system) is a relatively new type of active remote sensing are small-footprint, discrete return systems that record two to five returns for each emitted laser pulse fashion as an aerial photography camera. ¡ An inertial measurement unit that records the pitch, yaw

  18. Ris {R{1127(EN) Lidar data used in the COFIN

    E-Print Network [OSTI]

    3.1 Generation of arti cial smoke 7 4 Data processing 8 4.1 The lidar equation 8 4.2 Backscatter, see below. In FLADIS the smoke were added to an initial heavy gas plume. 2 Experimental design Figures response. However, the Lidar does have a averaging volume due to the leng

  19. 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

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

  20. 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)]

    Sivaraman, Chitra; Flynn, Connor

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

  1. 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

  2. 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)]

    Sivaraman, Chitra; Flynn, Connor

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

  3. 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)]

    Newsom, Rob; Goldsmith, John

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

  4. 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)]

    Sivaraman, Chitra; Flynn, Connor

    1-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. Raman lidar and MPL Measurements during ALIVE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, and 323Program2Raftopoulos takesBridges.Raman lidar

  7. Micropulse Lidar The ARM Program studies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar The ARM Program

  8. 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

  9. airborne lidar mapping: Topics by E-print Network

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

    A minimum height of 1 m was applied to define woody understorey. Critical to this process were a Digital Terrain Model (extracted from the leaf-off last return LiDAR data)...

  10. URBAN MODELING FROM LIDAR DATA IN AN INTEGRATED GIS ENVIRONMENT

    E-Print Network [OSTI]

    Shan, Jie

    are analyzed and possible solutions are proposed by fusing lidar data with other image data. Study shows: it allows rapid generation large-scale DTM (digital terrain model); is daylight independent; is relatively

  11. absorption lidar dial: Topics by E-print Network

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

    Topic Index 1 Development of an eye-safe diode-laser-based micro-pulse differential absorption lidar (MP-dial) for atmospheric water-vapor and aerosol studies. Open Access Theses...

  12. A motor drive control system for the Lidar Polarimeter

    E-Print Network [OSTI]

    Leung, Waiming

    1977-01-01T23:59:59.000Z

    A MOTOR DRIVE CONTROL SYSTEM FOR THE LIDAR POLARIMETER A Thesis by Waiming Leung Submitted to the Graduate College of Texas A/M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCF, May 1977 Major... Subject: Electrical Engineering A MOTOR DRIVE CONTROL SYSTEM FOR THE LIDAR POLARIMETER A Thesis by Waiming Leung Approved as to style and content by: Chairman o Comm' ee ea o epartment Member Mem er May 1977 ABSTRACT A Motor Drive Control...

  13. LIDAR Wind Speed Measurements of Evolving Wind Fields

    SciTech Connect (OSTI)

    Simley, E.; Pao, L. Y.

    2012-07-01T23:59:59.000Z

    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.

  14. Mapping surface fuels using LIDAR and multispectral data fusion for fire behavior modeling

    E-Print Network [OSTI]

    Mutlu, Muge

    2009-05-15T23:59:59.000Z

    , LIDAR derived data provides accurate estimates of surface fuel parameters efficiently and accurately over extensive areas of forests. This study demonstrates the importance of using accurate maps of fuel models derived using new LIDAR remote sensing...

  15. Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data

    E-Print Network [OSTI]

    Mitasova, Helena

    Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data, Geospatial analysis of vulnerable beach- foredune systems from decadal time series of lidar data, Journal densities; therefore, geospatial analysis, when applied to decadal lidar time series, needs to address

  16. Alternate spatial sampling approaches for ecosystem structure inventory using spaceborne lidar

    E-Print Network [OSTI]

    Lefsky, Michael

    used in aircraft lidar remote sensing where power, heat, and reliability are less of a concern since January 2011 Accepted 29 January 2011 Available online 23 March 2011 Keywords: Lidar Remote sensing Laser collected in transects and should be considered for future lidar remote sensing missions. Š 2011 Elsevier

  17. 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

  18. 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

  19. 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)]

    Coulter, Richard; Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen; Martin, Timothy

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

  20. 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)]

    Coulter, Richard; Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen; Martin, Timothy

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

  1. 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.

    2014-05-01T23:59:59.000Z

    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.

  2. Ris-R-Report LIDAR Wind Speed Measurements from a

    E-Print Network [OSTI]

    , the spinner axis's vertical tilt and the wind turbine's yaw relative to the mean wind speed direction: Data Files 54 Appendix B: Wind Speed Vertical Profile 55 Appendix C: Sonic Cup Comparison 59Risø-R-Report LIDAR Wind Speed Measurements from a Rotating Spinner: "SpinnerEx 2009" Nikolas

  3. FIRST PRINCIPLES MODELING FOR LIDAR SENSING OF COMPLEX ICE SURFACES

    E-Print Network [OSTI]

    Kerekes, John

    FIRST PRINCIPLES MODELING FOR LIDAR SENSING OF COMPLEX ICE SURFACES J. Kerekes, A. Goodenough, S of monitoring the dynamics and mass balance of glaciers, ice caps, and ice sheets. However, it is also known that ice surfaces can have complex 3-dimensional structure, which can challenge their accurate retrieval

  4. Lidar on the Phoenix mission to Mars James Whiteway,1

    E-Print Network [OSTI]

    Duck, Thomas J.

    Cameron Dickinson,1 Leonce Komguem,1 and Clive Cook1 Received 30 August 2007; revised 9 March 2008 of backscattered laser light from airborne dust and clouds. These observations will be coordinated with solar, and C. Cook (2008), Lidar on the Phoenix mission to Mars, J. Geophys. Res., 113, E00A08, doi:10

  5. absorption lidar performance: Topics by E-print Network

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

    absorption lidar performance First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Development of a...

  6. absorption lidar sensitivity: Topics by E-print Network

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

    absorption lidar sensitivity First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Development of a...

  7. absorption lidar system: Topics by E-print Network

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

    absorption lidar system First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Development of a differential...

  8. INTEGRATED LIDAR & PHOTOGRAMMETRIC DOCUMENTATION OF THE RED GULCH DINOSAUR

    E-Print Network [OSTI]

    Falkingham, Peter

    101 INTEGRATED LIDAR & PHOTOGRAMMETRIC DOCUMENTATION OF THE RED GULCH DINOSAUR TRACKSITE (WYOMING Resource Technology Section, National Operations Center, Bu- reau of Land Management, Bldg. 50 Denver, CO of successful schemes is testament to the advances made in attitudes and approaches to fossil site management

  9. 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.

    2014-02-01T23:59:59.000Z

    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.

  10. SciTech Connect: Field Test Results from Lidar Measured Yaw Control...

    Office of Scientific and Technical Information (OSTI)

    Conference: Field Test Results from Lidar Measured Yaw Control for Improved Yaw Alignment with the NREL Controls Advanced Research Turbine: Preprint Citation Details In-Document...

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

    Open Energy Info (EERE)

    Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle Aerial Photography, NAS Fallon Geothermal Exploration Project, Dixie Valley, Nevada Jump to: navigation,...

  12. Comparison of temperature and humidity profiles with elastic-backscatter lidar data

    SciTech Connect (OSTI)

    Soriano, C. [Universidad Politecnica de Cataluna, Barcelona (Spain)]|[Los Alamos National Lab., NM (United States); Buttler, W.T. [Los Alamos National Lab., NM (United States); Baldasano, J.M. [Universidad Politecnica de Cataluna, Barcelona (Spain)

    1995-04-01T23:59:59.000Z

    This contribution analyzes elastic-backscatter lidar data and temperature and humidity profiles from radiosondes acquired in Barcelona in July 1992. Elastic-backscatter lidar data reveal the distribution of aerosols within the volume of atmosphere scanned. By comparing this information with temperature and humidity profiles of the atmosphere at a similar time, we are able to asses de relationship among aerosol distribution and atmospheric stability or water content, respectively. Comparisons have shown how lidar`s revealed layers of aerosols correspond to atmospheric layers with different stability condition and water content.

  13. Tracking Honey Bees Using LIDAR (Light Detection and Ranging) Technology

    SciTech Connect (OSTI)

    BENDER, SUSAN FAE ANN; RODACY, PHILIP J.; SCHMITT, RANDAL L.; HARGIS JR., PHILIP J.; JOHNSON, MARK S.; KLARKOWSKI, JAMES R.; MAGEE, GLEN I.; BENDER, GARY LEE

    2003-01-01T23:59:59.000Z

    The Defense Advanced Research Projects Agency (DARPA) has recognized that biological and chemical toxins are a real and growing threat to troops, civilians, and the ecosystem. The Explosives Components Facility at Sandia National Laboratories (SNL) has been working with the University of Montana, the Southwest Research Institute, and other agencies to evaluate the feasibility of directing honeybees to specific targets, and for environmental sampling of biological and chemical ''agents of harm''. Recent work has focused on finding and locating buried landmines and unexploded ordnance (UXO). Tests have demonstrated that honeybees can be trained to efficiently and accurately locate explosive signatures in the environment. However, it is difficult to visually track the bees and determine precisely where the targets are located. Video equipment is not practical due to its limited resolution and range. In addition, it is often unsafe to install such equipment in a field. A technology is needed to provide investigators with the standoff capability to track bees and accurately map the location of the suspected targets. This report documents Light Detection and Ranging (LIDAR) tests that were performed by SNL. These tests have shown that a LIDAR system can be used to track honeybees. The LIDAR system can provide both the range and coordinates of the target so that the location of buried munitions can be accurately mapped for subsequent removal.

  14. 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)]

    Newsom, Rob; Goldsmith, John

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

  15. 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)]

    Coulter, Richard; Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen; Martin, Timothy

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

  16. LiDAR observations of offshore winds at future wind turbine operating heights

    E-Print Network [OSTI]

    LiDAR observations of offshore winds at future wind turbine operating heights Alfredo PeĂąa1 , Sven at the Horns Rev offshore wind farm. The influence of atmospheric stability on the surface layer wind shear: Charnock, LiDAR, Marine boundary layer, Offshore, Surface layer, Wind profile. 1 Introduction There is

  17. 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

    2013-02-01T23:59:59.000Z

    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.

  18. Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology

    E-Print Network [OSTI]

    Weishampel, John F.

    #12;Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology Arlen F. Chasea,1. The impor- tance of this geospatial innovation is demonstrated with newly acquired LiDAR data from in the remote geospatial imaging of cultural landscapes, including ancient communities and their anthropogenic

  19. A new cloud and aerosol layer detection method based on micropulse lidar measurements

    E-Print Network [OSTI]

    Li, Zhanqing

    A new cloud and aerosol layer detection method based on micropulse lidar measurements Chuanfeng algorithm to detect aerosols and clouds based on micropulse lidar measurements. A semidiscretization is then introduced. Combined with empirical threshold values, we determine if the signal waves indicate clouds

  20. Modeling Residential Urban Areas from Dense Aerial LiDAR Point Clouds

    E-Print Network [OSTI]

    Shahabi, Cyrus

    Modeling Residential Urban Areas from Dense Aerial LiDAR Point Clouds Qian-Yi Zhou and Ulrich models for residential areas from aerial LiDAR scans. The key differ- ence between downtown area modeling and residential area modeling is that the latter usually contains rich vegetation. Thus, we propose a robust

  1. Complete Residential Urban Area Reconstruction from Dense Aerial LiDAR Point Clouds

    E-Print Network [OSTI]

    Shahabi, Cyrus

    Complete Residential Urban Area Reconstruction from Dense Aerial LiDAR Point Clouds Qian-Yi Zhou area modeling and residential area modeling is that the latter usually con- tains rich vegetation. Thus representing the 3D urban reality of residential areas. Keywords: urban modeling, LiDAR, residential area

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformationPostdocs spaceLaser TheLessons LearnedLibraryTeamingLidar

  3. Complex-optical-field lidar system for range and vector velocity measurement

    E-Print Network [OSTI]

    Gao, Shuang; Sullivan, Maurice O.; Hui, Rongqing

    2012-11-01T23:59:59.000Z

    Complex-optical-field lidar system for range and vector velocity measurement Shuang Gao,1,2 Maurice O’Sullivan,3 and Rongqing Hui2,* 1Department of Electronic Engineering and Information Science, University of Science and Technology of China... lidar system based on the measurement of complex optical field is demonstrated for the first time. An electro-optic in- phase/quadrature (I/Q) modulator is used in the lidar transmitter to realize carrier-suppressed complex optical field modulation...

  4. Studying Clouds and Aerosols with Lidar Depolarization Ratio and Backscatter Relationships

    E-Print Network [OSTI]

    Cho, Hyoun-Myoung

    2012-02-14T23:59:59.000Z

    comparison of mineral dust aerosol retrievals from two instruments, MODIS and CALIPSO lidar. And, we implement and evaluate a new mineral dust detection algorithm based on the analysis of thin dust radiative signature. In comparison, three commonly used...

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

    Broader source: Energy.gov [DOE]

    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,...

  6. SciTech Connect: Field Test Results from Lidar Measured Yaw Control...

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

    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...

  7. NESTED HIGH RESOLUTION SIMULATION AND LIDAR VALIDATION OF A LAND BREEZE CIRCULATION

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    NESTED HIGH RESOLUTION SIMULATION AND LIDAR VALIDATION OF A LAND BREEZE CIRCULATION by GIJS DE BOER local forcing. A wide range of scales is simulated using the nesting capability of the University

  8. Development of a lidar polarimeter technique of measuring suspended solids in water

    E-Print Network [OSTI]

    Presley, David W

    1980-01-01T23:59:59.000Z

    DEVELOPMENT OF A LIDAR POLARIMETER TECHNIQUE OF MEASURING SUSPENDED SOLIDS IN WATER A Thesis by DAVID W. PRESLEY Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE May 1980 Major Subject; Electrical Engineering DEVELOPMENT OF A LIDAR POLARIMETER TECHNIQUE OF MEASURING SUSPENDED SOLIDS IN WATER A Thesis by DAVID W, PRESLEY Approved as to sty1e and content by: Chairman of Committee H d of Department...

  9. An Atmospheric Radiation Measurement Value-Added Product to Retrieve Optically Thin Cloud Visible Optical Depth using Micropulse Lidar

    SciTech Connect (OSTI)

    Lo, C; Comstock, JM; Flynn, C

    2006-10-01T23:59:59.000Z

    The purpose of the Micropulse Lidar (MPL) Cloud Optical Depth (MPLCOD) Value-Added Product (VAP) is to retrieve the visible (short-wave) cloud optical depth for optically thin clouds using MPL. The advantage of using the MPL to derive optical depth is that lidar is able to detect optically thin cloud layers that may not be detected by millimeter cloud radar or radiometric techniques. The disadvantage of using lidar to derive optical depth is that the lidar signal becomes attenuation limited when ? approaches 3 (this value can vary depending on instrument specifications). As a result, the lidar will not detect optically thin clouds if an optically thick cloud obstructs the lidar beam.

  10. Deriving a Framework for Estimating Individual Tree Measurements with Lidar for Use in the TAMBEETLE Southern Pine Beetle Infestation Growth Model

    E-Print Network [OSTI]

    Stukey, Jared D.

    2011-02-22T23:59:59.000Z

    . TAMBEETLE was used to compare spot growth between a lidar-derived forest map and a forest map generated by TAMBEETLE, based on sample plot characteristics. The lidar-derived forest performed comparably to the TAMBEETLE generated forest. Using lidar to map...

  11. Simple Doppler Wind Lidar adaptive observation experiments with 3D-Var and an ensemble Kalman filter in a global primitive equations model

    E-Print Network [OSTI]

    Maryland at College Park, University of

    the next few years, the first Doppler Wind Lidar (DWL) will be deployed in space by the European Space1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Simple Doppler Wind Lidar adaptive Experiments, we compare several adaptive observation strategies designed to subsample Doppler Wind Lidar (DWL

  12. Raman lidar profiling of water vapor and aerosols over the ARM SGP Site

    SciTech Connect (OSTI)

    Ferrare, R.A.

    2000-01-09T23:59:59.000Z

    The authors have developed and implemented automated algorithms to retrieve profiles of water vapor mixing ratio, aerosol backscattering, and aerosol extinction from Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. The Raman lidar sytem is unique in that it is turnkey, automated system designed for unattended, around-the-clock profiling of water vapor and aerosols. These Raman lidar profiles are important for determining the clear-sky radiative flux, as well as for validating the retrieval algorithms associated with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required for assimilation into mesoscale models to improve weather forecasts. The authors have also developed and implemented routines to simultaneously retrieve profiles of relative humidity. These routines utilize the water vapor mixing ratio profiles derived from the Raman lidar measurements together with temperature profiles derived from a physical retrieval algorithm that uses data from a collocated Atmospheric Emitted Radiance Interferometer (AERI) and the Geostationary Operational Environmental Satellite (GOES). These aerosol and water vapor profiles (Raman lidar) and temperature profiles (AERI+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors to characterize the clear sky atmospheric state above the CART site.

  13. RAMAN LIDAR PROFILING OF WATER VAPOR AND AEROSOLS OVER THE ARM SGP SITE.

    SciTech Connect (OSTI)

    FERRARE,R.A.

    2000-01-09T23:59:59.000Z

    We have developed and implemented automated algorithms to retrieve profiles of water vapor mixing ratio, aerosol backscattering, and aerosol extinction from Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. This Raman lidar system is unique in that it is turnkey, automated system designed for unattended, around-the-clock profiling of water vapor and aerosols (Goldsmith et al., 1998). These Raman lidar profiles are important for determining the clear-sky radiative flux, as well as for validating the retrieval algorithms associated with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required for assimilation into mesoscale models to improve weather forecasts. We have also developed and implemented routines to simultaneously retrieve profiles of relative humidity. These routines utilize the water vapor mixing ratio profiles derived from the Raman lidar measurements together with temperature profiles derived from a physical retrieval algorithm that uses data from a collocated Atmospheric Emitted Radiance Interferometer (AERI) and the Geostationary Operational Environmental Satellite (GOES) (Feltz et al., 1998; Turner et al., 1999). These aerosol and water vapor profiles (Raman lidar) and temperature profiles (AERI+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors to characterize the clear sky atmospheric state above the CART site.

  14. Remote control and telescope auto-alignment system for multiangle LIDAR under development at CEILAP, Argentina

    E-Print Network [OSTI]

    Pallotta, Juan; Otero, Lidia; Chouza, Fernando; Raul, Delia; Gonzalez, Francisco; Etchegoyen, Alberto; Quel, Eduardo

    2013-01-01T23:59:59.000Z

    At CEILAP (CITEDEF-CONICET), a multiangle LIDAR is under development to monitor aerosol extinction coefficients in the frame of the CTA (Cherenkov Telescope Array) Project. This is an initiative to build the next generation of ground-based instruments to collect very high energy gamma-ray radiation (>10 GeV). The atmospheric conditions are very important for CTA observations, and LIDARs play an important role in the measurement of the aerosol optical depth at any direction. The LIDAR being developed at CEILAP was conceived to operate in harsh environmental conditions during the shifts, and these working conditions may produce misalignments. To minimize these effects, the telescopes comprising the reception unit are controlled by a self-alignment system. This paper describes the self-alignment method and hardware automation.

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

    SciTech Connect (OSTI)

    S, Motty G, E-mail: mottygs@gmail.com; Satyanarayana, M., E-mail: mottygs@gmail.com; Krishnakumar, V., E-mail: mottygs@gmail.com; Dhaman, Reji k., E-mail: mottygs@gmail.com [Department of Optoelectronics, University of Kerala, Kariavattom, Trivandrum-695 581, Kerala (India)

    2014-10-15T23:59:59.000Z

    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.

  16. Biomass and Bioenergy 31 (2007) 646655 Estimating biomass of individual pine trees using airborne lidar

    E-Print Network [OSTI]

    Biomass and Bioenergy 31 (2007) 646­655 Estimating biomass of individual pine trees using airborne biomass and bio-energy feedstocks. The overall goal of this study was to develop a method for assessing aboveground biomass and component biomass for individual trees using airborne lidar data in forest settings

  17. Using LIDAR in Highway Rock Cuts Norbert H. Maerz, Ph. D., P. Eng,

    E-Print Network [OSTI]

    Maerz, Norbert H.

    the data needed to begin the process of modeling the rock raveling process. INTRODUCTION LIDAR damage, injury, and even death. Highways impeded by even small spills of rock material by blasting techniques to facilitate the highway construction. A constant danger to the motoring public

  18. Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar

    E-Print Network [OSTI]

    Ni-Meister, Wenge

    Measuring forest structure and biomass in New England forest stands using Echidna ground Accepted 12 March 2010 Available online 14 May 2011 Keywords: Ground-based lidar Forest structure Biomass biomass with very good accuracy in six New England hardwood and conifer forest stands. Comparing forest

  19. Master Thesis: Dual-Doppler technique applied to scanning lidars for the characterization of

    E-Print Network [OSTI]

    Peinke, Joachim

    of single wind turbines for the validation or tuning of wake models [1]. Recent full-field campaigns showed the opportunity to apply ground based scanning lidar or radar measurements to evaluate the wind field in the wake the correlated wind field. The scope of this master thesis is to study the interaction of wakes on the basis

  20. LIDAR measurements of wind turbine wake dyn_amics and comparison with an engineering model

    E-Print Network [OSTI]

    LIDAR measurements of wind turbine wake dyn_amics and comparison with an engineering model 1 dynamics, lIre performed at four diameters behind a 95 kW wind turbine. The wake 111eaeasurement technique allows esti111ation of qUClsiinstantancou~ two dimensional wind fields in an area

  1. A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths

    E-Print Network [OSTI]

    Foufoula-Georgiou, Efi

    A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic extraction. Following this preprocessing, channels are defined as curves of minimal effort, or geodesics and geodesic paths, J. Geophys. Res., 115, F01002, doi:10.1029/2009JF001254. 1. Introduction [2] The detection

  2. LIDAR OBSERVATIONS AND COMPARISON WITH NUMERICAL SIMULATION OF A LAKE MICHIGAN LAND BREEZE FRONT

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    of the Lake-Induced Convection Experiments (Lake-ICE), on December 21, 1997 the University of Wisconsin VolumeLIDAR OBSERVATIONS AND COMPARISON WITH NUMERICAL SIMULATION OF A LAKE MICHIGAN LAND BREEZE FRONT G circulation over Lake Michigan. Backscatter returns revealed a steady offshore flow extending 1.5 to 4 km

  3. Improved forecasts of extreme weather events by future space borne Doppler wind lidar

    E-Print Network [OSTI]

    Marseille, Gert-Jan

    sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a prioriImproved forecasts of extreme weather events by future space borne Doppler wind lidar Gert

  4. Topographic accuracy assessment of bare earth lidar-derived unstructured meshes Matthew V. Bilskie

    E-Print Network [OSTI]

    Central Florida, University of

    : Shallow water equations Unstructured mesh Lidar DEM Storm surge Accuracy a b s t r a c t This study water equations model. A methodology is developed to compute root mean square error (RMSE) and the 95th, urban regions, etc.) and have coarse mesh resolution in areas outside the focus region (e.g. deep water

  5. Metal uorescence lidar (light detection and ranging) and the middle atmosphere

    E-Print Network [OSTI]

    lidar takes advantage of the naturally occurring sodium atoms between 80 and 110 km above sea level (the though it is exposed to constant solar radiation. The hope of explaining a region strongly coupled as the `-pause' of the layer below them (see ÂŽgure 1). Radiative absorption and emission are dominating eects

  6. Lidars in Wind Energy Jakob Mann, Ferhat Bingl, Torben Mikkelsen, Ioannis Antoniou, Mike

    E-Print Network [OSTI]

    Lidars in Wind Energy Jakob Mann, Ferhat BingÜl, Torben Mikkelsen, Ioannis Antoniou, Mike Courtney, Gunner Larsen, Ebba Dellwik Juan Jose Trujillo* and Hans E. Jørgensen Wind Energy Department Risø of the presentation ¡ Introduction to wind energy ¡ Accurate profiles of the mean wind speed ¡ Wakes behind turbines

  7. Remote sensing the wind using Lidars and Sodars Ioannis Antoniou (1)

    E-Print Network [OSTI]

    of the met masts increases rapidly with height. The evolution of new multi-MW wind turbines has resulted), as met towers increase in height, increases rapidly. The second reason is the measurement of the windRemote sensing the wind using Lidars and Sodars Ioannis Antoniou (1) , Mike Courtney(1) , Hans E

  8. Impact Assessment of Simulated Doppler Wind Lidars with a Multivariate Variational Assimilation in the Tropics

    E-Print Network [OSTI]

    Stoffelen, Ad

    forecast errors of the European Centre for Medium-Range Weather Forecasts (ECMWF) model. Tropical mass­windImpact Assessment of Simulated Doppler Wind Lidars with a Multivariate Variational Assimilation, De Bilt, Netherlands CHRISTOPHE ACCADIA AND PETER SCHL�SSEL European Organisation

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

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30T23:59:59.000Z

    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.

  10. Master thesis: "Validation of wake-simulation models based on long-range lidar measurements."

    E-Print Network [OSTI]

    Peinke, Joachim

    REpower 6M wind turbines with rotor blades of different designs installed in the Ellhöft/Westre wind farm developed by the wind turbine manufacturer. Work plan 2011 2012 Task 11 12 01 02 03 04 05 06 07 08 09 10 Figure 1: Simulation of lidar measurements in the wake of a wind turbine using a LES generated wind field

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

    SciTech Connect (OSTI)

    Danny L. Anderson

    2012-05-01T23:59:59.000Z

    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.

  12. Estimating forest structural characteristics with airborne lidar scanning and a near-real time profiling laser systems

    E-Print Network [OSTI]

    Zhao, Kaiguang

    2009-05-15T23:59:59.000Z

    LiDAR (Light Detection and Ranging) directly measures canopy vertical structures, and provides an effective remote sensing solution to accurate and spatiallyexplicit mapping of forest characteristics, such as canopy height and Leaf Area Index...

  13. 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)

    2006-06-20T23:59:59.000Z

    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.

  14. 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.

    2014-11-01T23:59:59.000Z

    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.

  15. HiRes camera and LIDAR ranging system for the Clementine mission

    SciTech Connect (OSTI)

    Ledebuhr, A.G.; Kordas, J.F.; Lewis, I.T. [and others

    1995-04-01T23:59:59.000Z

    Lawrence Livermore National Laboratory developed a space-qualified High Resolution (HiRes) imaging LIDAR (Light Detection And Ranging) system for use on the DoD Clementine mission. The Clementine mission provided more than 1.7 million images of the moon, earth, and stars, including the first ever complete systematic surface mapping of the moon from the ultra-violet to near-infrared spectral regions. This article describes the Clementine HiRes/LIDAR system, discusses design goals and preliminary estimates of on-orbit performance, and summarizes lessons learned in building and using the sensor. The LIDAR receiver system consists of a High Resolution (HiRes) imaging channel which incorporates an intensified multi-spectral visible camera combined with a Laser ranging channel which uses an avalanche photo-diode for laser pulse detection and timing. The receiver was bore sighted to a light-weight McDonnell-Douglas diode-pumped ND:YAG laser transmitter that emmitted 1.06 {micro}m wavelength pulses of 200 mJ/pulse and 10 ns pulse-width, The LIDAR receiver uses a common F/9.5 Cassegrain telescope assembly. The optical path of the telescope is split using a color-separating beamsplitter. The imaging channel incorporates a filter wheel assembly which spectrally selects the light which is imaged onto a custom 12 mm gated image intensifier fiber-optically-coupled into a 384 x 276 pixel frame transfer CCD FPA. The image intensifier was spectrally sensitive over the 0.4 to 0.8 {micro}m wavelength region. The six-position filter wheel contained 4 narrow spectral filters, one broadband and one blocking filter. At periselene (400 km) the HiRes/LIDAR imaged a 2.8 km swath width at 20-meter resolution. The LIDAR function detected differential signal return with a 40-meter range accuracy, with a maximum range capability of 640 km, limited by the bit counter in the range return counting clock.

  16. OAK 270 - The use of Lidar/radiometer (LIRAD) in the ARM program to obtain optical properties and microphysics of high and midlevel clouds

    SciTech Connect (OSTI)

    C.M.R. Platt; R.T. Austin; S.A. Young; and G.L. Stephens

    2002-12-13T23:59:59.000Z

    OAK 270 - The use of Lidar/Radiometer (LIRAD) in the ARM program to obtain optical properties and microphysics of high and midlevel clouds

  17. Raman Lidar Profiles Best Estimate Value-Added Product Technical Report

    SciTech Connect (OSTI)

    Newson, R

    2012-01-18T23:59:59.000Z

    The ARM Raman lidars are semi-autonomous ground-based systems that transmit at a wavelength of 355 nm with 300 mJ, {approx}5 ns pulses, and a pulse repetition frequency of 30Hz. Signals from the various detection channels are processed to produce time- and height-resolved estimates of several geophysical quantities, such as water vapor mixing ratio, relative humidity, aerosol scattering ratio, backscatter, optical depth, extinction, and depolarization ratio. Data processing is currently handled by a suite of six value-added product (VAP) processes. Collectively, these processes are known as the Raman Lidar Profiles VAP (RLPROF). The top-level best-estimate (BE) VAP process was introduced in order to bring together the most relevant information from the intermediate-level VAPs. As such, the BE process represents the final stage in data processing for the Raman lidar. Its principal function is to extract the primary variables from each of the intermediate-level VAPs, perform additional quality control, and combine all of this information into a single output file for the end-user. The focus of this document is to describe the processing performed by the BE VAP process.

  18. Meas. Sci. Technol. 10 (1999) 11781184. Printed in the UK PII: S0957-0233(99)06575-3 Submarine lidar for seafloor

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    for the detection of dissolved and sunken pollutants. One of these instruments is the submarine lidar, combining: fluorescence lidar, range-gating video, seafloor monitoring 1. Submarine sensor network for pollution of Oldenburg, Laser Remote Sensing Group), ¡ an acoustic sensor for measuring the acoustic impedance

  19. Macrophysical Properties of Tropical Cirrus Clouds from the CALIPSO Satellite and from Ground-based Micropulse and Raman Lidars

    SciTech Connect (OSTI)

    Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.; Sivaraman, Chitra; Vaughan, Mark A.; Winker, D.; Turner, David D.

    2013-08-27T23:59:59.000Z

    Lidar observations of cirrus cloud macrophysical properties over the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program Darwin, Australia site are compared from the Cloud-Aerosol Lidar and In- frared Pathfinder Satellite Observation (CALIPSO) satellite, the ground-based ARM micropulse lidar (MPL), and the ARM Raman lidar (RL). Comparisons are made using the subset of profiles where the lidar beam is not fully attenuated. Daytime measurements using the RL are shown to be relatively unaffected by the solar background and are therefore suited for checking the validity of diurnal cycles. RL and CALIPSO cloud fraction profiles show good agreement while the MPL detects significantly less cirrus, particularly during the daytime. Both MPL and CALIPSO observations show that cirrus clouds occur less frequently during the day than at night at all altitudes. In contrast, the RL diurnal cy- cle is significantly different than zero only below about 11 km; where it is the opposite sign (i.e. more clouds during the daytime). For cirrus geomet- rical thickness, the MPL and CALIPSO observations agree well and both datasets have signficantly thinner clouds during the daytime than the RL. From the examination of hourly MPL and RL cirrus cloud thickness and through the application of daytime detection limits to all CALIPSO data we find that the decreased MPL and CALIPSO cloud thickness during the daytime is very likely a result of increased daytime noise. This study highlights the vast im- provement the RL provides (compared to the MPL) in the ARM program's ability to observe tropical cirrus clouds as well as a valuable ground-based lidar dataset for the validation of CALIPSO observations and to help im- prove our understanding of tropical cirrus clouds.

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

    SciTech Connect (OSTI)

    Hostetler, Chris; Ferrare, Richard

    2013-02-14T23:59:59.000Z

    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.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/InfraredProductsMicroPulse LIDAR Cloud Optical Depth (MPLCOD)

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

    SciTech Connect (OSTI)

    Sheen, David M.; Aker, Pam M.

    2007-09-19T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2013-10-01T23:59:59.000Z

    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.

  4. 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.

    2014-12-01T23:59:59.000Z

    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.

  5. SIMULTANEOUS AND COMMON-VOLUME LIDAR OBSERVATIONS OF THE MESOSPHERIC FE AND NA LAYERS AT BOULDER (40N, 105W)

    E-Print Network [OSTI]

    Chu, Xinzhao

    inputs can reproduce some large-scale characteristics but are challenged in simulating small- scale the general structures more precisely as well as simulating the challenging small scale features. In Aug. The Fe Boltzmann temperature lidar was under upgrading and validating at Boulder before its deployment

  6. 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.

    2013-06-11T23:59:59.000Z

    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.

  7. Sedimentological Reinterpretation of Surficial Unconsolidated Debris Flows and Stream Deposits of the Southern Flanks of Grand Mesa, CO: An Integrated LiDAR Approach

    E-Print Network [OSTI]

    Blakeley, Mitchell W.

    2014-08-08T23:59:59.000Z

    . This study developed a sedimentological description and interpretation of these deposits and tested the capabilities of terrestrial LiDAR (Light Detection and Ranging) for use in sedimentological studies. This research addressed the origin of the deposits...

  8. 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.

    2007-07-01T23:59:59.000Z

    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.

  9. Rayleigh LIDAR and satellite (HALOE, SABER, CHAMP and COSMIC) measurements of stratosphere-mesosphere temperature over a southern sub-tropical site, Reunion (20.8° S; 55.5° E): climatology and comparison study

    E-Print Network [OSTI]

    Sivakumar, V.; Vishnu Prasanth, P.; Kishore, P.; Bencherif, H.; Keckhut, P.

    2011-01-01T23:59:59.000Z

    climatology of the mid- dle atmosphere from long-termLIDAR measurements at mid- dle and low latitudes, J.Over the southern tropics, mid- dle atmosphere temperature

  10. Analysis and Calibration of CRF Raman Lidar Cloud Liquid Water Measurements

    SciTech Connect (OSTI)

    Turner, D.D.

    2007-10-31T23:59:59.000Z

    The Atmospheric Radiation Measurement (ARM) Raman lidar (RL), located at the Southern Great Plains (SGP) Climate Research Facility (CRF), is a unique state-of-the-art active remote sensor that is able to measure profiles of water vapor, aerosol, and cloud properties at high temporal and vertical resolution throughout the diurnal cycle. In October 2005, the capability of the RL was extended by the addition of a new detection channel that is sensitive to the Raman scattering of liquid water. This new channel permits the system, in theory, to measure profiles of liquid water content (LWC) by the RL. To our knowledge, the ARM RL is the only operation lidar with this capability. The liquid water Raman backscattering cross-section is a relatively weak and spectrally broad feature, relative to the water vapor Raman backscatter signal. The wide bandpass required to achieve reasonable signal-to-noise in the liquid water channel essentially eliminates the ability to measure LWC profiles during the daytime in the presence of large solar background, and thus all LWC observations are nighttime only. Additionally, the wide bandpass increases the probability that other undesirable signals, such as fluorescence from aerosols, may contaminate the observation. The liquid water Raman cross-section has a small amount of overlap with the water vapor Raman cross-section, and thus there will be a small amount of ‘cross-talk’ between the two signals, with water vapor contributing a small amount of signal to the LWC observation. And finally, there is significant uncertainty in the actual strength of the liquid water Raman cross-section in the literature. The calibrated LWC profiles, together with the coincident cloud backscatter observations also made by the RL, can be used to derive profiles of cloud droplet effective radius. By combining these profiles of effective radius in the lower portion of the cloud with the aerosol extinction measurements made below the cloud by the RL, the first aerosol indirect effect can be investigated using a single instrument, thereby reducing the uncertainty associated with aligning the different sampling periods and fields of view of multiple instruments. We have applied a “first principles” calibration to the LWC profiles. This approach requires that the relative differences in optical efficiency between the water vapor and liquid water channels be known; this relative difference is easily computed using the efficiency values of the beam splitters and interference filters in the lidar that were provided by the vendors of these components. The first principles approach then transfers the calibration from the water vapor mixing ratio to the LWC using the difference in the optical efficiency and an interpolated value of the liquid water Raman cross section from the literature, and the better established water vapor Raman cross section. After accounting for all known error sources, the vertical integral of LWC was compared against a similar value retrieved from a co-located ground-based infrared radiometer. The RL and infrared radiometer have significantly different fields of view; thus to compare the two sensors the data were averaged to 5 min intervals where only cloudy samples were included in the average of each. While there is fair scatter in the data (r=0.47), there is also a clear indication of a positive correlation between the infrared and the RL values. The value of the slope of the regression is 0.49, which indicates a tendency of the RL measurements to underestimate the total liquid amount with respect to the infrared retrieval. Research continues to investigate the source of the bias, but the most likely candidate is the large uncertainty in the liquid water Raman cross-section as there have been no direct measurements made of this parameter at the lidar’s laser wavelength of 355 nm. The calibrated LWC profile was then used together with the cloud backscatter coefficient profile from the RL to derive profiles of cloud droplet effective radius and cloud droplet number density. These profiles o

  11. University of Wisconsin High Spectral Lidar operations during MPACE: Examples of AHSRL-MMCR particle size retrievals E.W.Eloranta, I.A.Razenkov, J.P.Garcia, and J.P.Hedrick

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    where valid lidar and radar measurements were obtained. 6) Lidar and radar data were averaged and altitude bins.Measurements within 6 dBZ of the radar's minimum detectable reflectivity are removed along signal-to-noise level can also be specified to exclude noisy data points AHSRL data was used extensively

  12. Turn-key Raman lidar for profiling atmospheric water vapor, clouds, and aerosols at the US Southern Great Plains Climate Study Site

    SciTech Connect (OSTI)

    Goldsmith, J.E.M.; Blair, F.H.; Bisson, S.E.

    1997-12-31T23:59:59.000Z

    There are clearly identified scientific requirements for continuous profiling of atmospheric water vapor at the Department of Energy, Atmospheric Radiation Measurement program, Southern Great Plains CART (Cloud and Radiation Testbed) site in northern Oklahoma. Research conducted at several laboratories has demonstrated the suitability of Raman lidar for providing measurements that are an excellent match to those requirements. We have developed and installed a ruggedized Raman lidar system that resides permanently at the CART site, and that is computer automated to eliminate the requirements for operator interaction. In addition to the design goal of profiling water vapor through most of the troposphere during nighttime and through the boundary layer during daytime, the lidar provides quantitative characterizations of aerosols and clouds, including depolarization measurements for particle phase studies.

  13. 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

    2014-07-03T23:59:59.000Z

    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.

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

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

    Gangodagamage, Chandana; Wullschleger, Stan

    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.

  15. A joint study of the lower ionosphere by radar, lidar, and spectrometer

    SciTech Connect (OSTI)

    Zhou, Qihou.

    1991-01-01T23:59:59.000Z

    The dynamics and associated phenomena occurring in the lower ionospheric-E region, especially the mesopause region between 80 km to 110 km at low latitude, are studied. In particular, incoherent scatter radar (ISR), sodium lidar and airglow spectrometry are used to study the ionospheric structure and neutral sodium structure. The simultaneous study of the ionospheric plasma and neutral atomic sodium is unprecedented in scope and detail. The joint study of the mesopause region reveals that plasma, neutral densities and temperature are interconnected through the same atmospheric dynamics. The theme of the thesis is to explain the formation of the controversial sporadic sodium layer (SSL) events. Strong correlation is established between the average total ion and sodium concentrations, and between sporadic-E and SSL events. The mechanism proposed in the thesis, which invokes temperature fluctuations induced by tides and gravity waves, finds good agreement with observations. Tides and gravity waves can converge ions into thin layers through the windshear mechanisms and can influence the concentration of atomic sodium through temperature fluctuations. Sodium abundance is shown to augment rapidly when the temperature is increased. Gravity wave theory states that the ion convergence node coincides with a temperature maximum for a westward propagating gravity wave, and coincides with a temperature minimum for an eastward propagating wave. Because tidal winds propagate westward, the ion layer coincides with the temperature maximum which consequently induces higher sodium concentration. This can account for the general correlation between sodium and total ion concentration and is supported by the O2(0-1) rotational temperature. Gravity waves and their interaction with tidal winds are believed to be responsible for the close association between sudden sodium layers and sporadic-E layers.

  16. 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.

    2008-08-01T23:59:59.000Z

    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 NOAA’s 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.

  17. Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave radiometer data are systematically compared to models to quantify and

    E-Print Network [OSTI]

    Hogan, Robin

    Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave a systematic evaluation of clouds in forecast models. Clouds and their associated microphysical processes for end users of weather forecasts, who may be interested not only in cloud cover, but in other variables

  18. Evaluation of Cloud-Phase Retrieval Methods for SEVIRI on Meteosat-8 Using Ground-Based Lidar and Cloud Radar Data

    E-Print Network [OSTI]

    Stoffelen, Ad

    Evaluation of Cloud-Phase Retrieval Methods for SEVIRI on Meteosat-8 Using Ground-Based Lidar and Cloud Radar Data ERWIN L. A. WOLTERS, ROBERT A. ROEBELING, AND ARNOUT J. FEIJT Royal Netherlands 2007) ABSTRACT Three cloud-phase determination algorithms from passive satellite imagers are explored

  19. A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data

    E-Print Network [OSTI]

    Vernon, Zachary Isaac

    2009-05-15T23:59:59.000Z

    decisions affecting these disappearing systems. SPOT-5 imagery from 2005 was combined with Light Detection and Ranging (LiDAR) data from 2006 and several ancillary datasets to map a portion of the bottomland hardwood system found in the Sulphur River Basin...

  20. SilviLaser 2011, Oct. 16-19, 2011 Hobart, Australia Towards automated and operational forest inventories with T-Lidar

    E-Print Network [OSTI]

    Paris-Sud XI, UniversitĂŠ de

    inventories with T-Lidar A. Othmani1 , A. Piboule2 , M. Krebs3 , C. Stolz1 and L.F.C. Lew Yan Voon1 1 Cluny, France, michael.krebs@ensam.eu Keywords: terrestrial laser scanning, forest inventory, tree detection, DBH. Abstract Forest inventory automation has become a major issue in forestry. The complexity

  1. 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.

    2011-10-01T23:59:59.000Z

    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.

  2. Analysis of mixing layer heights inferred from radiosonde, wind profiler, airborne lidar, airborne microwave temperature profiler, and in-situ aircraft data during the Texas 2000 air quality study in Houston, TX

    E-Print Network [OSTI]

    Smith, Christina Lynn

    2005-08-29T23:59:59.000Z

    The mixing layer (ML) heights inferred from radiosondes, wind profilers, airborne lidar, airborne microwave temperature profiler (MTP), and in-situ aircraft data were compared during the Texas 2000 Air Quality Study in the Houston area...

  3. 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.

    2008-08-01T23:59:59.000Z

    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.

  4. All Sky Camera, LIDAR and Electric Field Meter: auxiliary instruments for the ASTRI SST-2M prototype

    E-Print Network [OSTI]

    Leto, Giuseppe; Bellassai, Giancarlo; Bruno, Pietro; Maccarone, Maria Concetta; Martinetti, Eugenio

    2015-01-01T23:59:59.000Z

    ASTRI SST-2M is the end-to-end prototype telescope of the Italian National Institute of Astro- physics, INAF, designed to investigate the 10-100 TeV band in the framework of the Cherenkov Telescope Array, CTA. The ASTRI SST-2M telescope has been installed in Italy in September 2014, at the INAF ob- serving station located at Serra La Nave on Mount Etna. The telescope is foreseen to be completed and fully operative in spring 2015 including auxiliary instrumentation needed to support both operations and data anal- ysis. In this contribution we present the current status of a sub-set of the auxiliary instruments that are being used at the Serra La Nave site, namely an All Sky Camera, an Electric Field Meter and a Raman Lidar devoted, together with further instrumentation, to the monitoring of the atmospheric and environmental conditions. The data analysis techniques under development for these instruments could be applied at the CTA sites, where similar auxiliary instrumentation will be installed.

  5. Airborne Multiwavelength High-Spectral-Resolution Lidar (HSRL-2) Observations During TCAP 2012: Vertical Proles of Optical and Microphysical Properties of a Smoke/Urban Haze Plume Over the Northeastern Coast of the US

    SciTech Connect (OSTI)

    Muller, Detlef; Hostetler, Chris A.; Ferrare, R. A.; Burton, S. P.; Chemyakin, Eduard; Kolgotin, A.; Hair, John; Cook, A. L.; Harper, David; Rogers, R. R.; Hare, Rich; Cleckner, Craig; Obland, Michael; Tomlinson, Jason M.; Berg, Larry K.; Schmid, Beat

    2014-10-10T23:59:59.000Z

    We present rst measurements with the rst airborne multiwavelength High-Spectral Resolution Lidar (HSRL-2), developed by NASA Langley Research Center. The instrument was operated during the Department of Energy (DOE) Two-Column Aerosol Project (TCAP) in July 2012. We observed out ow of urban haze and fresh biomass burning smoke from the East Coast of the US out over the West Atlantic Ocean. Lidar ratios at 355 and 532 nm were ... sr indicating moderately absorbing aerosols. Extinctionrelated Angstrom exponents were 1.5{2 pointing at comparably small particles. Our novel automated, unsupervised data inversion algorithm retrieves particle e*ective radii of approximately 0.2 *m, which is in agreement with the large Angstrom exponents. We nd reasonable agreement to particle size parameters obtained from situ measurements carried out with the DOE G-1 aircraft that ew during the lidar observations.

  6. 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.

    2005-03-18T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Wang, Zhien

    2010-06-29T23:59:59.000Z

    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.

  8. 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

    2009-06-17T23:59:59.000Z

    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).

  9. ARM - Measurement - Lidar polarization

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

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  10. Raman Lidar Receives Improvements

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, and 323Program2Raftopoulos takes

  11. QUANTIFYING FOREST ABOVEGROUND CARBON POOLS AND FLUXES USING MULTI-TEMPORAL LIDAR A report on field monitoring, remote sensing MMV, GIS integration, and modeling results for forestry field validation test to quantify aboveground tree biomass and carbon

    SciTech Connect (OSTI)

    Lee Spangler; Lee A. Vierling; Eva K. Stand; Andrew T. Hudak; Jan U.H. Eitel; Sebastian Martinuzzi

    2012-04-01T23:59:59.000Z

    Sound policy recommendations relating to the role of forest management in mitigating atmospheric carbon dioxide (CO{sub 2}) depend upon establishing accurate methodologies for quantifying forest carbon pools for large tracts of land that can be dynamically updated over time. Light Detection and Ranging (LiDAR) remote sensing is a promising technology for achieving accurate estimates of aboveground biomass and thereby carbon pools; however, not much is known about the accuracy of estimating biomass change and carbon flux from repeat LiDAR acquisitions containing different data sampling characteristics. In this study, discrete return airborne LiDAR data was collected in 2003 and 2009 across {approx}20,000 hectares (ha) of an actively managed, mixed conifer forest landscape in northern Idaho, USA. Forest inventory plots, established via a random stratified sampling design, were established and sampled in 2003 and 2009. The Random Forest machine learning algorithm was used to establish statistical relationships between inventory data and forest structural metrics derived from the LiDAR acquisitions. Aboveground biomass maps were created for the study area based on statistical relationships developed at the plot level. Over this 6-year period, we found that the mean increase in biomass due to forest growth across the non-harvested portions of the study area was 4.8 metric ton/hectare (Mg/ha). In these non-harvested areas, we found a significant difference in biomass increase among forest successional stages, with a higher biomass increase in mature and old forest compared to stand initiation and young forest. Approximately 20% of the landscape had been disturbed by harvest activities during the six-year time period, representing a biomass loss of >70 Mg/ha in these areas. During the study period, these harvest activities outweighed growth at the landscape scale, resulting in an overall loss in aboveground carbon at this site. The 30-fold increase in sampling density between the 2003 and 2009 did not affect the biomass estimates. Overall, LiDAR data coupled with field reference data offer a powerful method for calculating pools and changes in aboveground carbon in forested systems. The results of our study suggest that multitemporal LiDAR-based approaches are likely to be useful for high quality estimates of aboveground carbon change in conifer forest systems.

  12. Thin and thick cloud top height retrieval algorithm with the Infrared Camera and LIDAR of the JEM-EUSO Space Mission

    E-Print Network [OSTI]

    Sáez-Cano, G; del Peral, L; Neronov, A; Wada, S; Frías, M D Rodríguez

    2015-01-01T23:59:59.000Z

    The origin of cosmic rays have remained a mistery for more than a century. JEM-EUSO is a pioneer space-based telescope that will be located at the International Space Station (ISS) and its aim is to detect Ultra High Energy Cosmic Rays (UHECR) and Extremely High Energy Cosmic Rays (EHECR) by observing the atmosphere. Unlike ground-based telescopes, JEM-EUSO will observe from upwards, and therefore, for a properly UHECR reconstruction under cloudy conditions, a key element of JEM-EUSO is an Atmospheric Monitoring System (AMS). This AMS consists of a space qualified bi-spectral Infrared Camera, that will provide the cloud coverage and cloud top height in the JEM-EUSO Field of View (FoV) and a LIDAR, that will measure the atmospheric optical depth in the direction it has been shot. In this paper we will explain the effects of clouds for the determination of the UHECR arrival direction. Moreover, since the cloud top height retrieval is crucial to analyze the UHECR and EHECR events under cloudy conditions, the ret...

  13. 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

    2005-01-01T23:59:59.000Z

    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.

  14. 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

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

    Gangodagamage, Chandana; Wullschleger, Stan

    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.

  15. 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

    2014-07-03T23:59:59.000Z

    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.

  16. An Assessment of MultiAngle Imaging SpectroRadiometer (MISR) Stereo-Derived Cloud Top Heights and cloud top winds using ground-based radar, lidar, and microwave radiometers

    SciTech Connect (OSTI)

    Marchand, Roger T.; Ackerman, Thomas P.; Moroney, C.

    2007-03-17T23:59:59.000Z

    Clouds are of tremendous importance to climate because of their direct radiative effects and because of their role in atmospheric dynamics and the hydrological cycle. The value of satellite imagery in monitoring cloud properties on a global basis can hardly be understated. One cloud property that satellites are in an advantageous position to monitor is cloud top height. Cloud top height retrievals are especially important for MISR because the derived height field is used to co-register the measured radiances. In this presentation we show the results of an ongoing comparison between ground-based millimeter-wave cloud radar and lidar measurements of cloud top and MISR stereo-derived cloud top height. This comparison is based on data from three radar systems located in the U.S Southern Great Plains (Lamont, Oklahoma), the Tropical Western Pacific (Nauru Island) and the North Slope of Alaska (Barrow, Alaska). These radars are operated as part of the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program. The MISR stereo height algorithm is performing largely as expected for most optically thick clouds. As with many satellite retrievals, the stereo-height retrieval has difficulty with optically thin clouds or ice clouds with little optical contrast near cloud top.

  17. 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

    2014-03-31T23:59:59.000Z

    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.

  18. 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.

    1998-10-23T23:59:59.000Z

    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.

  19. LiDAR | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpInc Place:Keystone CleanLaton,LearnLeupp SchoolLewisville isLiDAR

  20. Simplified Homodyne Detection for FM Chirped Lidar

    E-Print Network [OSTI]

    Adany, Peter

    2007-12-14T23:59:59.000Z

    ..........................................................................................40 Thermal Noise....................................................................................................41 Quantum (Shot) Noise.......................................................................................42 Additive White....6 – Ideal fiber (left) and with stress-induced birefringence (right)...............29 Figure 2.7 – PM fiber, panda (left) and bow-tie (right)..............................................29 Figure 2.8 – EOM diagram...

  1. ARM - Campaign Instrument - co2lidar

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation DesertgovInstrumentsap-surf Comments? We would love tocryo Comments? Weair Comments? Welidar

  2. ARM - Campaign Instrument - lidar-dial

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

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  3. Facies Analysis, Reservoir Characterization, and LIDAR Modeling of an Eocene

    E-Print Network [OSTI]

    Johnson, Cari

    and Dean, 1982; Westcott, 1992; Giosan and Bhattacharya, 2005). Reservoir complexity in marginal lacustrine

  4. Lane estimation for autonomous vehicles using vision and LIDAR

    E-Print Network [OSTI]

    Huang, Albert Shuyu

    2010-01-01T23:59:59.000Z

    Autonomous ground vehicles, or self-driving cars, require a high level of situational awareness in order to operate safely and eciently in real-world conditions. A system able to quickly and reliably estimate the location ...

  5. angle imaging lidar: Topics by E-print Network

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

    sensing. I. David J. Diner; Jewel C. Beckert; Terrence H. Reilly; Carol J. Bruegge; James E. Conel; Ralph A. Kahn; John V. Martonchik; Thomas P. Ackerman; Roger Davies;...

  6. Wind velocity measurements using a pulsed LIDAR system: first results

    E-Print Network [OSTI]

    Peinke, Joachim

    . A laser beam of 1.54 ľm wavelength takes measurements of the wind speed in beamwise direction. To obtain the three-dimensinal wind vector, the beam is inclined by 30 from vertical direction and measurements 12345 t [s] vh[m/s] Figure 2. Segment of measured time series of the horizontal wind speed magnitude vh

  7. AIRBORNE HIGH SPECTRAL RESOLUTION LIDAR MEASUREMENTS OF ATMOSPHERIC AEROSOLS

    E-Print Network [OSTI]

    the evolution and transport of pollution from Mexico City. The second major experiment was the Texas Air Quality Union 2007 Joint Assembly Acapulco, Mexico May 22-25, 2007 Environmental Sciences Department Research Observations (MILAGRO) /Megacity Aerosol Experiment in Mexico City (MAX

  8. Simulated performance of an airborne lidar wind shear detection system

    E-Print Network [OSTI]

    Griffith, Kenneth Scott

    2012-06-07T23:59:59.000Z

    in the microburst test case. Journal model is Applied Optics. CHAPTER II THE WIND SHEAR HAZARD 2. 1 The Wind Shear Phenomenon Wind shear can be defined as a change in wind direction and/or speed over relatively short distances. i Wind shear can occur at any... and sea ? breeze fronts. These clear air winds move at speeds of 15 to 40 knots over large distances. rhtrrM~s Prost i ? arhiog the ar e of t a sitio bet eea t o separate ai masses having different temperatures and humidities. The change in wind...

  9. aircraft merged lidar: Topics by E-print Network

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

    them. Federations are unions of DBMs the size of federations and how to choose some DBMs to merge them into a larger one is a combi- natorial David, Alexandre 110 Web...

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington:Lakeville,LeightonLeola,Meadow,LevyLexingtonLeyden, NewLiDAR

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington:Lakeville,LeightonLeola,Meadow,LevyLexingtonLeyden,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington:Lakeville,LeightonLeola,Meadow,LevyLexingtonLeyden,Oldenburg,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation, search GEOTHERMAL

  15. LiDAR Technology | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6, 2011 LawrenceE C HLesterDepartment ofLewis

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

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

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

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

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  18. Automatic Construction of Building Footprints from Airborne LIDAR Data

    E-Print Network [OSTI]

    Chen, Shu-Ching

    data are essential for construc- tion of urban landscape models, assessment of urban heat island effect for extraction of building footprints. Manual derivation of building geometric data from a remote sensing image due to the influence of sun shadow and relief displacement of high buildings in remote sensing images

  19. ARM - Evaluation Product - Derived Wind Profiles from Doppler Lidar

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

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  20. ARM - Field Campaign - Aerosol Lidar Validation Experiment - ALIVE

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3,Cloud OD Sensor TWST Cloud OD Sensor

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3,CloudgovCampaignsIR Cloud CameraClouds

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3,CloudgovCampaignsIR CloudgovCampaignsLower Atmospheric-

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3,CloudgovCampaignsIR CloudgovCampaignsLower Atmospheric-HSR

  5. BPA's LiDAR program maps corridor to success

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6 M. Babzien, I. Ben-Zvi, P. Study of SmartRates4

  6. Cloud properties derived from the High Spectral Resolution Lidar during

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed New SubstationClean Communities of WesternVailCloisteredPresence offromandMPACE

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout the Building TechnologiesS1!4TCombustionOptimizingCMWG Breakout

  8. Simulation of Lidar Return Signals Associated with Water Clouds

    E-Print Network [OSTI]

    Lu, Jianxu

    2010-01-14T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 7 Number distribution averaged phasematrices of water clouddroplets of different effective radii. . . . . . . . . . . . . . . . . . . . . . . . . 34 8 Simulated range corrected signals froma cloud with reff = 8.0?m and ?ext = 13.3/km when 100...(?in,?in,?sc,?sc) = L(?i2))P(?)L(?i1), (1.14) 8 where L(?) is for rotation operator for Stoke parameter (I,Q,U,V) [30]: L(?) = ? ?? ?? ?? ?? 1 0 0 0 0 cos2? sin2? 0 0 ?sin2? cos2? 0 0 0 0 1 ? ?? ?? ?? ?? . (1.15) where ? is an angle. i1 is the angle between the meridian...

  9. E-Print Network 3.0 - airborne mixtures part Sample Search Results

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

    GLAS Airborne lidar Biomass Height The use of lidar remote sensing for mapping the spatial distribution... and spatially coincident discrete-return airborne lidar data over...

  10. Quantifying Surface Subsidence along US Highway 50, Reno County, KS using Terrestrial LiDAR

    E-Print Network [OSTI]

    Herrs, Andrew J.

    2010-04-23T23:59:59.000Z

    of karst features by evaporite dissolution is quick and unpredictable. Evaporite rock layers cover a large area in the subsurface of the North America and elsewhere in the world. The mechanisms in which these evaporites dissolve are important...). This 5 free access to undersaturated water rapidly leaches away salt in the subsurface thereby creating large void spaces. Effects of Salt Dissolution The dissolution mechanisms described in the previous section give way to instabilities...

  11. Constructing a GIS-based 3D urban model using LiDAR and aerial photographs

    E-Print Network [OSTI]

    Lin, Wei-Ming

    2005-02-17T23:59:59.000Z

    ; Rau and Chen 2001; Shiode 2001; Zhou et al. 2004). The 3D urban modeling technique enables urban residents to visualize future urban construction and development. It also supports standard activities of urban design and city planning and allows... of geometric information about urban objects, and it is an efficient tool for designing and creating urban objects (Sinning-Meister et al 1996). The contemporary CAD systems also offer full 3D rendering capability to visualize urban objects and the urban...

  12. Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches

    E-Print Network [OSTI]

    Kelly, Maggi

    2013-01-01T23:59:59.000Z

    Germany, 2012. 44. Baatz, M. ; Hoffmann, C. ; Willhauck, G.interest were segmented. Baatz, Hoffmann and Willhauck [44

  13. Object-Based Image Analysis of Downed Logs in Disturbed Forested Landscapes Using Lidar

    E-Print Network [OSTI]

    Kelly, Maggi

    2011-01-01T23:59:59.000Z

    quantity and location of downed logs in forests is important for assessing fire risk [4,5], measuring dead biomass

  14. E-Print Network 3.0 - airborne aura lidar Sample Search Results

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

    Collection: Mathematics 29 Michael D. Obland1*, Anthony L. Cook1, Richard A. Ferrare1, John W. Hair1, David B. Harper1, Chris A. Hostetler1, Raymond R. Rogers2, Sharon P....

  15. E-Print Network 3.0 - airborne lidar profiler Sample Search Results

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

    Collection: Mathematics 17 Michael D. Obland1*, Anthony L. Cook1, Richard A. Ferrare1, John W. Hair1, David B. Harper1, Chris A. Hostetler1, Raymond R. Rogers2, Sharon P....

  16. 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.

    2014-03-01T23:59:59.000Z

    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.

  17. 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.

    2013-01-01T23:59:59.000Z

    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.

  18. An investigation of the depolarization of backscattered electromagnetic waves using a lidar polarimeter

    E-Print Network [OSTI]

    Wilhelmi, Gary Joe

    2012-06-07T23:59:59.000Z

    of the samples was varied from a very rough to a moderately rough surface. Using these targets, polarized and depolarized backscatter measurements were recorded using both horizon- tal and vertical transmit polarization for angles of in- cidence between 0...' . . . . . . . . . . . 48 III -3 III-4 II I- 5 III-6 Intensity pattern for p /p a s Intensity pattern for p /p a s Intensity pattern for p /p a s 2. 0 x 10 1. 0 x 10 2. 62 x 10 Experimental arrangement for collimated beam experiment 49 50 51 53 III- 7...

  19. Assessing Available Woody Plant Biomass on Rangelands with Lidar and Multispectral Remote Sensing

    E-Print Network [OSTI]

    Ku, Nian-Wei

    2012-07-16T23:59:59.000Z

    products. Mesquite trees, a type of woody plant, are a proven source of bioenergy feedstock found on semi-arid lands. The overall objectives of this study were to develop algorithms for determining woody plant biomass on rangelands in Texas at plot...

  20. Multi-temporal Terrestrial Lidar for Estimating Individual Tree Dimensions and Biomass Change

    E-Print Network [OSTI]

    Srinivasan, Shruthi

    2013-10-30T23:59:59.000Z

    Accurate measures of forest structural parameters are essential to forest inventory and growth models, managing wildfires, and modeling of carbon cycle. Terrestrial laser scanning (TLS) provides accurate understory information rapidly through non...

  1. Modeling Plot-Level Biomass and Volume Using Airborne and Terrestrial Lidar Measurements

    E-Print Network [OSTI]

    Sheridan, Ryan D.

    2012-07-16T23:59:59.000Z

    The United States Forest Service (USFS) Forest Inventory and Analysis (FIA) program provides a diverse selection of data used to assess the status of the nation’s forested areas using sample locations dispersed throughout the country. Airborne...

  2. An initial assessment of the Robust And Compact Hybrid Environmental Lidar

    E-Print Network [OSTI]

    Oxford, University of

    -tripled Nd:YAG laser with an average pulse energy of 65 mJ. The return signal is observed coaxially, includ- ing a ceiliometer, cloud radar, various li- dars, radiometers, and surface meteorol- ogy in the morning. This behaviour is repeated the next day. During this time, PBL height remains unusually high

  3. 2.1 RAMAN LIDAR PROFILING OF WATER VAPOR AND AEROSOLS OVER THE ARM SGP SITE

    E-Print Network [OSTI]

    with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors with the use of narrowband (~0.4 nm bandpass) filters, reduces the background skylight and, therefore

  4. Solar Energy Potential Analysis at Building Scale Using LiDAR and Satellite Data.

    E-Print Network [OSTI]

    Aguayo, Paula

    2013-01-01T23:59:59.000Z

    ??The two main challenges of the twenty-first century are the scarcity of energy sources and global warming; trigged by the emission of greenhouse gases. In… (more)

  5. Surface-Layer Wind and Turbulence Profiling from LIDAR: Theory and Measurements

    E-Print Network [OSTI]

    turbines become taller wind energy assessment and also turbine control require knowledge of the detailed calibrated cup anemometers in tall met-towers, wind data from remote-sensing instrumentation, such as SODARS, in particular for use in connection with power curve reference and wind turbine certification purposes. However

  6. Finding Multiple Lanes in Urban Road Networks with Vision and Lidar

    E-Print Network [OSTI]

    Huang, Albert S.

    This paper describes a system for detecting and estimating the properties of multiple travel lanes in an urban road network from calibrated video imagery and laser range data acquired by a moving vehicle. The system operates ...

  7. An annual cycle of Arctic cloud characteristics observed by radar and lidar at SHEBA

    E-Print Network [OSTI]

    Shupe, Matthew

    distribution of cloud boundary heights, and occurrence of liquid phase in clouds are determined from radar-observed clouds containing liquid was 73% for the year. The least amount of liquid water phase was observed during-detected clouds. Liquid was distributed in a combination of all-liquid and mixed phase clouds, and was detected

  8. Algorithms and Software Tools for Extracting Coastal Morphological Information from Airborne LiDAR Data

    E-Print Network [OSTI]

    Gao, Yige

    2010-07-14T23:59:59.000Z

    grain size, calculating profile volume with respect to specified reference elevation along the profile, generating synthetic profiles, as well as calculating bar properties such as minimum depth and location, maximum height and location, volume...

  9. E-Print Network 3.0 - absorption lidar transmitter Sample Search...

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

    Collection: Environmental Sciences and Ecology 35 Field demonstration of simultaneous wind and temperature measurements from 5 to 50 km with Summary: double-edge magneto-optic...

  10. Submarine fluorescence lidar for environmental monitoring Stefan Harsdorf, Manfred Janssen, Rainer Reuter and Bernhard Wachowicz

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    Santosa) Eco-Ethology Research Unit, ISPA--Instituto Universitario, Rua Jardim do Tabaco 34, Lisboa, P dos Mam´iferos Marinhos, Rua Alto do Duque 45, Lisboa, P-1400-009, Portugal Emanuel J. Gonc¸alves Eco of Setu´bal, in Portugal, required the removal of a 14-m deep rocky outcrop at the ship maneuver area

  11. Eddy-resolving Lidar Measurements and Numerical Simulations of the Convective Internal Boundary Layer

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    in speed. The vertical gradient of wind-speed decreases offshore because of strong vertical mixing caused correlation functions and winds derived from horizontal (PPI) and vertical (RHI) scans of the VIL during Lake.4 0.5 0.6 0.7 DOWNSTREAM WIND SPEEDS FROM RHI SCANS ON 13 JANUARY 1998 SPATIALLY RESOLVED 5-m WINDS

  12. Modeling conically scanning lidar error in complex terrain with WAsP

    E-Print Network [OSTI]

    the vertical wind speed W changes linearly with the downwind position x. This could crudely mimic the flow over to be homogeneous in order to deduce the horizontal wind speed. However, in mountainous or complex terrain this assumption is not valid implying an erroneous wind speed. The magnitude of this error is measured

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation, search

  14. LiDAR At Dixie Valley Geothermal Area (Helton, Et Al., 2011) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation, searchInformation

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation,Information

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpInc Place:Keystone CleanLaton,LearnLeupp SchoolLewisville is

  19. A Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6APlasma

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006Photovoltaic TheoryPlant 242-Z Americiumand InDevRPHYSORPolarizedand

  1. Posters Scanning Raman Lidar Measurements of Atmospheric Water Vapor and Aerosols

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006PhotovoltaicSeptember 22, 2014SocietyJ. Dudhia51 Posters7551

  2. DOE/SC-ARM/TR-098 Micropulse Lidar Cloud Mask Value-Added Product Technical Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganizationElectronic Reading2Q)38232 Revision 1SC609935938

  3. Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g GrantAtlas (PACAOpen Energy InformationStonyMonitoringfromAerial

  4. ARM - Field Campaign - NASA Coordinated Airborne CO2 Lidar Flight Test

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by Microtops Atmospheric Optical Depth (AOD) by Microtops ARM

  5. 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)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, and 323Program2Raftopoulos takes onRajeshNewsRamRaman

  6. The Development of Instrumentation and Methods for Measurement of Air-Sea Interaction and Coastal Processes from Manned and Unmanned Aircraft /

    E-Print Network [OSTI]

    Reineman, Benjamin D.

    2013-01-01T23:59:59.000Z

    Yaw Sum Rotation Rotated LiDAR Surface (x, y, z, t) Figure 2.4: Post-processing flow chart for the airborne lidar system.

  7. Short-range, Non-contact Detection of Surface Contamination Using Raman Lidar Arthur J. Sedlacek, III*

    E-Print Network [OSTI]

    -time detection and identification of bulk amounts of substances on surfaces. Optical spectroscopic methods detection and identification of chemical spills is discussed. The new chemical sensor combines the spectral-range (meters to tens of meters), non-contact detection and identification of unknown substances on surfaces

  8. Na double-edge magneto-optic filter for Na lidar profiling of wind and temperature in the

    E-Print Network [OSTI]

    Chu, Xinzhao

    proposed by one of the authors (Williams), originating from the Na magneto-optic filter in solar-edge magneto-optic fil- ter (Na-DEMOF). It has advantages over the FPIs and iodine filters because of its magnetic field across the Na cell causes the Zeeman splitting of Na energy levels, which shifts

  9. Identifying the top of the tropical tropopause layer from vertical mass flux analysis and CALIPSO lidar cloud observations

    E-Print Network [OSTI]

    Hochberg, Michael

    deep convection from the tropical rainfall measuring mission precipitation radar, Alcala and Dessler defined as the level of zero net radiative heating, which occurs near 14.5­15 km [e.g., Folkins et al convection occurring below this level will sink back to the surface, and air detraining above this level

  10. GEOPHYSICAL RESEARCH LETTERS, VOL. 25, NO. 16, PAGES 3139-3142, AUGUST 15, 1998 Multiwavelength lidar aerosol measurements made at

    E-Print Network [OSTI]

    Duck, Thomas J.

    ., 1995] leading to polar stratospheric cloud (PSC) formation. Stratospheric aerosols can also serve to as P1) so only a brief overview will be given here. 1Center for Research in Earth and Space Technology) Nagoya University, Nagoya, Japan. 4Communications Research Laboratory (CRL) Tokyo, Japan. 5Meteorological

  11. Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey

    E-Print Network [OSTI]

    Xi, Weimin

    is driven by the efficient use of forest resources, which in turn requires detailed understanding of forest 2011 Accepted: 2 November 2011 /Published online: 29 November 2011 # Springer Science+Business Media useful forestry relevant information, this data must be interpreted using mathematical models

  12. Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey

    E-Print Network [OSTI]

    is driven by the efficient use of forest resources, which in turn requires detailed understanding of forest 2011 Accepted: 2 November 2011 # Springer Science+Business Media, LLC 2011 Abstract Small Footprint Li be interpreted using mathematical models and computer algorithms that infer or estimate specific forest metrics

  13. 30TH INTERNATIONAL COSMIC RAY CONFERENCE Atmospheric Monitoring with a LIDAR and an Infra-red Camera at Black Rock

    E-Print Network [OSTI]

    density, the US atmospheric standard model is used so far, and a radio sonde data is also used COLLABORATION 1 Department of Physics, Kinki University 2 Graduate School of Science, Osaka City University 3 for cosmic rays experiment. The aims of atmospheric moni- toring are to calibrate observed energy

  14. Accuracy of small footprint airborne LiDAR in its predictions of tropical moist forest stand structure

    E-Print Network [OSTI]

    Chave, Jérôme

    . Introduction Tropical forests offer a broad range of ecosystem services, from carbon sequestration to potential valuation of biodiversity compo- nents. But, forest conversion in the tropics has dramatically altered and verifiable", and this prompted renewed interest in providing standardized and reproducible methods of forest

  15. Exploring the relationships between vegetation measurements and temperature in residential areas by integrating LIDAR and remotely sensed imagery

    E-Print Network [OSTI]

    Clemonds, Matthew A

    2006-10-30T23:59:59.000Z

    at higher resolutions is much more difficult to obtain. This has allowed researchers to study urban heat island dynamics at a micro-scale. However, this study suggests that a vegetation index alone might not be the best surrogate variable for providing...

  16. Lidar determination of altitude profile of the refraction index in electro-optical monitoring of the Earths atmosphere

    E-Print Network [OSTI]

    generated data 1. Introduction Control of atmosphere pollution is a complex problem of environmental of the reconstruction of the individual contributions and the overall altitude pro- file of the refraction index of air the pollutants and obtain detailed information about the distri- bution of the substances both in altitude

  17. Comparing synthetic aperture radar and LiDAR for above-ground biomass estimation in Glen Affric, Scotland 

    E-Print Network [OSTI]

    Tan, Chue Poh

    2012-06-25T23:59:59.000Z

    Quantifying above-ground biomass (AGB) and carbon sequestration has been a significant focus of attention within the UNFCCC and Kyoto Protocol for improvement of national carbon accounting systems (IPCC, 2007; UNFCCC, ...

  18. A comparison of cloud top heights computed from airborne lidar and MAS radiance data using CO2 slicing

    E-Print Network [OSTI]

    Sheridan, Jennifer

    budgets. Their impact on the radiation budget can result in a heating or in a cooling of the planet al., 1989; Wylie and Menzel, 1989], determine diabatic heating profiles and hence affect the general to global climate change studies. One important passive remote sensing method of obtaining the altitude

  19. DOE/SC-ARM/TR-100 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganizationElectronic Reading2Q)38232 Revision 1SC6099359380

  20. Dimitri Batani Dipartimento di Fisica G. Occhialini , Universit di Milano-Bicocca, Milano

    E-Print Network [OSTI]

    Milano-Bicocca, UniversitĂ 

    radiazione secondaria (X, UV) Metrologia LIDAR (misure dell'atmosfera) Telecomunicazioni in fibra ottica

  1. Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16 17, 2000 EARSeL eProceedings No. 1 68

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    be faulty if these proc- esses are different than assumed during analysis. In December 1999, a non of the condi- tions actually encountered by ship's pilots. It is essential to have high-quality field

  2. Bachelor thesis: "Validation of an engineering model of the near wake wind field of wind turbines based on nacelle based lidar measurements"

    E-Print Network [OSTI]

    Peinke, Joachim

    Bachelor thesis: "Validation of an engineering model of the near wake wind field of wind turbines, in an early stage of wind farm layout optimisation and wind turbine loading calculation in wind farms developed/validated indirectly. Mainly, based on power measurements of downstream wind turbines, instead

  3. Lidar Remote Sensing for Environmental Monitoring IX, Edited by Upendra N. Singh, Kazuhiro Asai, Achuthan Jayaraman, Proc. of SPIE Vol. 7153, 71530Z

    E-Print Network [OSTI]

    Cole, Dan C.

    in a single FPA. When (100) silicon is properly etched with KOH:IPA:H2O solution through a thermally grown with KOH:IPA:H2O solution through a thermally grown oxide mask, square based pyramidal frustum or mesa in a dual- mode, operating in a linear mode with or without internal gain for passive imaging in daylight

  4. Using LiDAR, Aerial Photography, and Geospatial Technologies to Reveal and Understand Past Landscapes in Four West Central Missouri Counties

    E-Print Network [OSTI]

    Price, R. Zane

    2012-05-31T23:59:59.000Z

    This dissertation focuses on Hugh Prince's principle of using the present (in this case as seen through remotely sensed imagery) to understand the past via relict features. I studied ghost towns, cemeteries, and abandoned ...

  5. Aerosol plume transport and transformation in high spectral resolution lidar measurements and WRF-Flexpart simulations during the MILAGRO Field Campaign

    E-Print Network [OSTI]

    de Foy, B.

    The Mexico City Metropolitan Area (MCMA) experiences high loadings of atmospheric aerosols from anthropogenic sources, biomass burning and wind-blown dust. This paper uses a combination of measurements and numerical ...

  6. 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.

    2014-01-01T23:59:59.000Z

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

  7. CityFIT Urban Guide: Modelling and Deploying indicators of Property Exposure to Flooding in Lagos using LIDAR DEM and DSM data 

    E-Print Network [OSTI]

    Mosuro, Sulaiman

    2012-11-29T23:59:59.000Z

    application was prototyped for disseminating time-series flood model information and for reporting details of flood events as they occur to serve for model calibration and enhancement, thereby completing the flood modelling lifecycle....

  8. Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16 17, 2000 EARSeL eProceedings No. 1 148

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    -06-3048-6038 ABSTRACT The development of sensing subsystems is crucial to the operation of highly autonomous robots performance laser range finder. The sensor will be installed on an autonomous rover (RAS), lodged surfaces and from the poor transparency of the atmos- phere caused by wind-driven ice microcrystals

  9. Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16 17, 2000 EARSeL eProceedings No. 1 130

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    element measurements in any kind of solid material (1-3) as well as in liquids (4,5). The technique can. The unknown samples are often available as powders (e.g. coal fly ash, minerals, sed

  10. Proceedings of 2011 NSF Engineering Research and Innovation Conference, Atlanta, Georgia Grant #0856420 LiDAR and optical imaging for 3-D fracture orientations

    E-Print Network [OSTI]

    Maerz, Norbert H.

    measurements are sometimes carried at the base of existing slopes or during quarrying, tunneling or mining is responsible for the transportation of groundwater and contaminants [5]. Thus, the importance of the analysis

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

    E-Print Network [OSTI]

    Protat, Alain

    to produce too much solid water (ice and snow) and not enough liquid water. 1. Introduction Ice clouds playThe Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured­NCAR Mesoscale Model (MM5) to simulate midlatitude ice clouds is evaluated. Model outputs are compared to long

  12. Robust 1550-nm single-frequency all-fiber ns-pulsed fiber amplifier for wind-turbine predictive control by wind lidar

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    Oldenburg, Germany ABSTRACT Scaling of the power yield of offshore wind farms relies on the capacity powers [1]. To reach the ambitious and politically motivated aims of Multi-GW offshore wind farms belongs to this category. Clustered in wind farms, today's wind turbines produce Megawatt-level output

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

    SciTech Connect (OSTI)

    Becherer, R.J.

    1991-01-01T23:59:59.000Z

    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.

  14. Rayleigh LIDAR and satellite (HALOE, SABER, CHAMP and COSMIC) measurements of stratosphere-mesosphere temperature over a southern sub-tropical site, Reunion (20.8° S; 55.5° E): climatology and comparison study

    E-Print Network [OSTI]

    Sivakumar, V.; Vishnu Prasanth, P.; Kishore, P.; Bencherif, H.; Keckhut, P.

    2011-01-01T23:59:59.000Z

    L. , and Keckhut, P. : Climatology and trends of the middleD. M. : A 14-year monthly climatology and trend in the 35–65D. A. : Temperature climatology of the mid- dle atmosphere

  15. aerosol ratio program: Topics by E-print Network

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

    contribute a major portion of atmospheric aerosol mass loading 5. The estimated global annual Liou, K. N. 2 Studying Clouds and Aerosols with Lidar Depolarization Ratio and...

  16. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY Q. J. R. Meteorol. Soc. 133: 11751189 (2007)

    E-Print Network [OSTI]

    Chaboureau, Jean-Pierre

    on the monsoon and harmattan flow structure as well as on aerosol vertical distribution over the Sahel aerosol layer; gravity current; monsoon; harmattan; african monsoon multidisciplinary analysis; lidar

  17. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY Q. J. R. Meteorol. Soc. 135: 139159 (2009)

    E-Print Network [OSTI]

    Chaboureau, Jean-Pierre

    ; harmattan; airborne lidar; dropsondes; ECMWF analyses; SEVIRI imagery; AMMA Received 4 July 2008; Revised 4 northeasterly harmattan flow. This region, generally characterised by strong convergence and low pressures

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

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

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

  19. CHARACTERIZATION OF A GEIGER-MODE AVALANCHE PHOTODIODE DETECTOR FOR

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    CHARACTERIZATION OF A GEIGER-MODE AVALANCHE PHOTODIODE DETECTOR FOR HIGH SPECTRAL RESOLUTION LIDAR................................................................................................ 20 3.2 Operation principles of an avalanche photodiode.................................. 22 3

  20. 2014 GRADUATE STUDIES CONSTRUCTION ENGINEERING

    E-Print Network [OSTI]

    Wang, Yuhang

    , and other optical sensors including thermography cameras, and portable pneumatic and electrical power management & simulation, BIM, virtual design and construction, machine vision, thermography, 3-D LIDAR, real

  1. E-Print Network 3.0 - atmospheres thin atmospheres Sample Search...

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

    Physics, Simon Fraser University Collection: Physics 7 Arctic-Winter Climatology and Radiative Effects of Clouds and Aerosols Based on Lidar and Radar Measurements at PEARL...

  2. Proceedings of the U.S. Geological Survey Fifth Biennial Geographic Information

    E-Print Network [OSTI]

    Torgersen, Christian

    Organizations ........................................................................ 2 Review Process, SRTM, Digital Photogrammetry, and LIDAR- Derived Digital Elevation Models: Implications for Geological Digital Geologic Mapping at Yucca Mountain, Nevada ............................................. 13

  3. Department of Energy Announces 22 New Projects to Enable Emissions...

    Energy Savers [EERE]

    of a selected MONITOR project: Bridger Photonics, Inc. | Bozeman, Mont. | Mobile LiDAR Sensors for Methane Leak Detection Bridger Photonics will develop a light-detection and...

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

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

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

  5. Arterial Traffic Activity Estimation

    E-Print Network [OSTI]

    Yang, Qichi

    2013-01-01T23:59:59.000Z

    F. Moosmann and C. Stiller, "Velodyne slam," in IntelligentMoosmann, O. Pink, and C. Stiller, "Segmentation of 3d lidar

  6. E-Print Network 3.0 - aerosol main physical Sample Search Results

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

    AND INTEGRAL AEROSOL PROPERTIES RETRIEVAL FROM RAMAN LIDAR DATA USING PRINCIPLE COMPONENT ANALYSIS Summary: retrievals of physical aerosol parameters from ground-based and...

  7. E-Print Network 3.0 - aaviksoo taavi lai Sample Search Results

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

    Myneni, Ranga B. - Department of Geography, Boston University Collection: Geosciences 51 Lidar-based mapping of leaf area index and its use for validating GLOBCARBON satellite...

  8. E-Print Network 3.0 - advanced imaging techniques Sample Search...

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

    techniques Search Powered by Explorit Topic List Advanced Search Sample search results for: advanced imaging techniques Page: << < 1 2 3 4 5 > >> 1 Photogrammetric & LiDAR Data...

  9. NETL F 451.1/1-1, Categorical Exclusion Designation Form

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

    Division 2013-2014 10112 - 93014 Darin Damiani Multiple sites, Multiple states Optimization of Reservoir Storage Capacity in Different Depositional Environments LIDAR and...

  10. E-Print Network 3.0 - asarate hararati dar Sample Search Results

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

    Sample Questions Summary: ENGO 531: Advanced Photogrammetric and Ranging Techniques Sample Questions 1 of 2 Chapter 4: LiDAR... Mapping 1. What are the main differences...

  11. RESEARCH LETTER 2002 Blackwell Science Ltd. http://www.blackwell-science.com/geb

    E-Print Network [OSTI]

    Lefsky, Michael

    sensing the quantity and spatial organization of forest biomass. In this study, we compare & Biogeography (2002) 11, 393­399 Blackwell Science, Ltd Lidar remote sensing of above-ground biomass in three to high biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection

  12. Comparison between active sensor and radiosonde cloud boundaries over the ARM Southern Great Plains site

    E-Print Network [OSTI]

    of radar, lidar, and ceilometer data collected at the Atmospheric Radiation Measurements Southern Great [1995] and Chernykh and Eskridge [1996]. The lidar and ceilometer data yield lowest-level cloud base. These quantities are used to assess the accuracy of coincident cloud base heights obtained from radar and the two

  13. Atmos. Chem. Phys., 8, 341350, 2008 www.atmos-chem-phys.net/8/341/2008/

    E-Print Network [OSTI]

    Paris-Sud XI, UniversitĂŠ de

    aerosols. Because aerosols impact both regional and global energy budgets, ow- ing to their highly non of tropospheric aerosol profiles using MAX-DOAS and comparison with lidar and sky radiometer measurements H. Irie1. These retrieved quantities are characterized through comparisons with coin- cident lidar and sky radiometer

  14. BOSTON UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES

    E-Print Network [OSTI]

    Myneni, Ranga B.

    in climate change and remote sensing studies. He introduced me to the lidar remote sensing technique, which of other scientists working on vegetation lidar remote sensing. I am honored to have Drs. Davis, Phillips in the exchange of heat, momentum, water, and carbon between the land surface and the atmosphere. The rates

  15. 0.5 m Telescope Computer Adjustable

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    . Our objective is to demonstrate a new method of remotely determining ice water content in cirrus:17 - 02:41 (GMT) Altitude (km) LidarRawSignal(Power) Combined NFOV Signal Molecular NFOV Signal Combined AWFOV Signal Molecular AWFOV Signal Measured Lidar returns Inverted Aerosol Inverted Molecular Cirrus

  16. POSTGRADUATE MONTEREY, CALIFORNIA

    E-Print Network [OSTI]

    is unlimited UTILITY OF SATELLITE LIDAR WAVEFORM DATA IN SHALLOW WATER by Neal Battaglia June 2010 Thesis. AUTHOR Neal Battaglia 5. FUNDING NUMBERS 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval; distribution is unlimited UTILITY OF SATELLITE LIDAR WAVEFORM DATA IN SHALLOW WATER Neal F. Battaglia Civilian

  17. GACP SECOND YEAR PROGRESS REPORT Name: John A. Reagan* and Kurtis J. Thome

    E-Print Network [OSTI]

    Micro-Pulse Lidar (MPL) and solar radiometer data to extract further information about aerosol extinction-to-backscatter ratio characteristics. ¡ Participated in a lidar, solar radiometer and scattering loaned by NASA Langley Research Center. A slant-path sensing mirror system fitted to one of the MPL

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

    SciTech Connect (OSTI)

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

    2011-07-06T23:59:59.000Z

    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.

  19. 8, 28492862, 2008 Equatorial Kelvin

    E-Print Network [OSTI]

    Paris-Sud XI, UniversitĂŠ de

    -campaigns in the tropics have been conducted in the recent years with two different LIDAR systems at Paramaribo in Suriname EGU On the basis of observational data obtained in Paramaribo, Suriname we showed recently that cirrus

  20. Quantifying atmospheric pollution across north america from boreal forest fires: a combined analysis of atmospheric modelling and ground-based remote sensing 

    E-Print Network [OSTI]

    Trigwell, Robert

    2011-11-24T23:59:59.000Z

    This paper describes the interpretation of the 2010 summer LIDAR observations from Dal- housie University, Nova Scotia. The GEOS-Chem global 3D chemistry transport model was used to identify the chemical and optical ...

  1. AT652 Course Syllabus Fall 2013

    E-Print Network [OSTI]

    a graduate-level introduction to modern atmospheric remote sensing techniques and existing, in particular regarding thermal emission, solar radiation, radar and lidar backscatter quantities that can be measured from space using passive versus active techniques

  2. Journal of Quantitative Spectroscopy & Radiative Transfer 106 (2007) 325347

    E-Print Network [OSTI]

    , aerosol polarimetry sensor; ATSR, along track scanning radiometer; AVHRR, advanced very high resolution radiometer; CALIPSO, cloud-aerosol lidar and infrared pathfinder satellite observations; CLAMS, Chesapeake model; GEWEX, global energy and water cycle experiment; GHG, greenhouse gas; GOME, global ozone

  3. Scattering Properties of Oriented Hexagonal Ice Crystals

    E-Print Network [OSTI]

    Zhang, Feng

    2010-01-14T23:59:59.000Z

    To interpret the data from spaceborn lidar measurements, one must have a basic understanding of the backscattering of oriented ice particles. The conventional raytracing method is not applicable to the scattering of light by oriented particles...

  4. Journal of Animal Ecology 2006

    E-Print Network [OSTI]

    He, Fangliang

    Water Intake Structures B & M Nakato * ** Study of Frazil-Ice for Wisconsin Electric's Power Plant near of CASES-99 Lidar Data Army Eichinger ** Development of a Web-Based Virtual Fluids Lab ATAC Eichinger

  5. IIHR--HYDROSCIENCE & ENGINEERING COLLEGE OF ENGINEERING

    E-Print Network [OSTI]

    Stanier, Charlie

    Water Intake Structures B & M Nakato * ** Study of Frazil-Ice for Wisconsin Electric's Power Plant near of CASES-99 Lidar Data Army Eichinger ** Development of a Web-Based Virtual Fluids Lab ATAC Eichinger

  6. Goulden Equipment and Facilities Lab: 1400 ft2

    E-Print Network [OSTI]

    Kimball, Sarah

    (Sorval RC 5C, etc). Instruments for in-situ remote sensing: (2) FLIR thermal cameras, (2) JAI VIS fluorescence, (1) Ocular Robotics scanning LIDAR, misc pan-tilt mounts (FLIR D100 and D48), computers, software

  7. Tropospheric Emissions: Monitoring of Pollution

    E-Print Network [OSTI]

    Jacob, Daniel J.

    , O3 lidar) R.B. Pierce NOAA/NESDIS Co-I AQ modeling, data assimilation R. Spurr RT Solutions, Inc. Co geostationary communications satellite with expected ~2019 launch Provides hourly daylight observations

  8. E-Print Network 3.0 - amu dar river Sample Search Results

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

    forests by determining... the degree to which the LiDAR data would show the same relative ranking of structural development among sites Source: Bakker, Jon - School of Forest...

  9. Thin Cloud Length Scales Using CALIPSO and CloudSat Data

    E-Print Network [OSTI]

    Solbrig, Jeremy E.

    2010-10-12T23:59:59.000Z

    Thin clouds are the most difficult cloud type to observe. The recent availability of joint cloud products from the active remote sensing instruments aboard CloudSat and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite (CALIPSO) facilitates...

  10. NREL Advances Feedforward Control in Turbines (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01T23:59:59.000Z

    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.

  11. Bioluminescence in a complex coastal environment: 2. Prediction of bioluminescent source depth from spectral

    E-Print Network [OSTI]

    Moline, Mark

    of a passive method (as opposed to active methods such as RADAR or LIDAR) to identify hostile ships, submarines this relative importance [Nealson, 1993]. Therefore the depth distribution of bioluminescent organisms is of eco

  12. Aerial reconstructions via probabilistic data fusion

    E-Print Network [OSTI]

    Cabezas, Randi

    2013-01-01T23:59:59.000Z

    In this thesis we propose a probabilistic model that incorporates multi-modal noisy measurements: aerial images and Light Detection and Ranging (LiDAR) to recover scene geometry and appearance in order to build a 3D ...

  13. Post-fire Tree Establishment Patterns at the Subalpine Forest-Alpine Tundra Ecotone: A Case Study in Mount Rainier National Park

    E-Print Network [OSTI]

    Stueve, Kirk M.

    2010-10-12T23:59:59.000Z

    imagery and 2003 aerial photography to map 33 years of changes in arboreal vegetation. I created detailed maps of abiotic variables from a LIDAR-based DEM and biotic variables from classified remotely sensed data. I linked tree establishment patterns...

  14. The single pixel GPS: learning big data signals from tiny coresets

    E-Print Network [OSTI]

    Feldman, Dan

    We present algorithms for simplifying and clustering patterns from sensors such as GPS, LiDAR, and other devices that can produce high-dimensional signals. The algorithms are suitable for handling very large (e.g. terabytes) ...

  15. Tuesday, March 24, 2009 POSTER SESSION I: SEEING IS BELIEVING

    E-Print Network [OSTI]

    Rathbun, Julie A.

    for Future Planetary Missions [#2078] A flash LIDAR instrument is being developed by Ball Aerospace for NEO remote sensing applications. Sobron P. Freeman J. J. Wang A. Field Test of the Water-Wheel IR (WIR

  16. Quantification of Salt Marsh Carbon Stocks: Integration of Remote Sensing Data and Techniques with Field Measurements

    E-Print Network [OSTI]

    Kulawardhana, Ranjani W

    2013-12-02T23:59:59.000Z

    in this study show the capability of remote sensing data for the characterization of salt marsh terrain and vegetation heights and the estimation of above-ground biomass quantities. The best biomass prediction models using lidar heights reported considerably...

  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. altitude[m] glue 24.04.2011

    E-Print Network [OSTI]

    Barbosa, Henrique

    radiometer and a K-band hydrometeor profiler Bourayou R.1, Calheiros A.J.1, Sakuragi J.1, Miacci M.1, Barbosa:CAPES; CHUVA project FAPESP grant 2009/15235-8 Lidar Raymetrics LR101V-D200 Nd:YAG SH 532nm Pulse energy 130 m, the event is only recorded at high altitude. The fall velocity derived from lidar profiles is in fair

  19. Haneberg, W.C., Creighton, A.L., Medley, E.W., and Jonas, D.A., 2005, Use of LiDAR to assess slope haz-ards at the Lihir gold mine, Papua New Guinea, in O. Hungr, R. Fell, R. Couture, and E. Eberhardt, edi-

    E-Print Network [OSTI]

    Haneberg, William C.

    . The epithermal sulfide gold deposit was dis- covered in 1983 and mining commenced in 1997. Mining is scheduled of residual topography within a moving window, was especially useful for distinguishing colluvium landslides representation of topography around the mine and an invaluable tool for hazard assessment. #12;The three deposits

  20. LIDAR nleasurenlents of \\vind turbine wake Ineanderi ng J)l'j',lillllL'nl ul \\kcl1~lI1i('al Engineering. Fluid \\kchanic~. \\ills Koppcls /l.ik. DTU-I)uildll1,lC ..jil3.ll'llJ:1il':i1

    E-Print Network [OSTI]

    ('al Engineering. Fluid \\kchanic~. \\ills Koppcls /l.ik. DTU-I)uildll1,lC ..jil3.ll'llJ:1il':i1 ~ 'ni\\ c'rsily ul

  1. 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)

    2006-12-26T23:59:59.000Z

    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.

  2. Meteorological Observations for Renewable Energy Applications at Site 300

    SciTech Connect (OSTI)

    Wharton, S; Alai, M; Myers, K

    2011-10-26T23:59:59.000Z

    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.

  3. Comparison of the CALIPSO satellite and ground-based observations of cirrus clouds at the ARM TWP sites

    SciTech Connect (OSTI)

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

    2011-11-10T23:59:59.000Z

    Statistics of ice cloud macrophysical and optical properties from the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) instrument on board the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite are compared with those from ground-based lidar observations over a 31 month period. Ground-based lidar observations are taken from the micropulse lidars (MPL) at the three Department of Energy Atmospheric Radiation Measurement (ARM) tropical western pacific (TWP) sites: Manus, Nauru and Darwin. CALIPSO observations show a larger cloud fraction at high altitudes while the ground-based MPLs show a larger cloud fraction at low altitudes. The difference in mean ice cloud top and base heights at the Manus and Nauru sites are all within 0.51 km, although differences are statistically significant. Mean ice cloud geometrical thickness agree to within 0.05 km at the Manus and Nauru sites. Larger differences exist at Darwin due to excessive degradation of the MPL output power during our sampling period. Both sets of observations show thicker clouds during the nighttime which may be real but could also be partially an artifact of the decreased signal-to-noise ratio during the daytime. The number of ice cloud layers per profile are also shown to be consistent after accounting for the difference in spatial resolution. For cloud optical depths, four different retrieval methods are compared, two for each set of observations. All products show that the majority of ice cloud optical depths ({approx}60%) fall below an optical depth of 0.2. For most comparisons all four retrievals agree to within the uncertainty intervals. We find that both CALIPSO retrievals agree best to ground-based optical depths when the lidar ratio in the latter is retrieved instead of set to a fixed value. Also thoroughly compared is the cloud properties for the subset of ice clouds which reside in the tropical tropopause layer (TTL).

  4. 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. (Anthony B.); Marshak, A. (Alexander); Cahalan, R. F. (Robert F.)

    2001-01-01T23:59:59.000Z

    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.

  5. Wide Area Wind Field Monitoring Status & Results

    SciTech Connect (OSTI)

    Alan Marchant; Jed Simmons

    2011-09-30T23:59:59.000Z

    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. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARM ScienceaLidars

  7. Atmos. Chem. Phys., 8, 40194026, 2008 www.atmos-chem-phys.net/8/4019/2008/

    E-Print Network [OSTI]

    Meskhidze, Nicholas

    been conducted in recent years with two different LIDAR systems at Paramaribo (5.8 N, 55.2 W), Suriname at Paramaribo (5.8 N, 55.2 W), Suriname we showed recently that cirrus clouds form in situ and effectively

  8. Ann. Geophys., 24, 807821, 2006 www.ann-geophys.net/24/807/2006/

    E-Print Network [OSTI]

    smaller and less absorbing population of particles with a lidar ratio of 20 sr. Mixing of polluted air of aerosol. The extinction-to-backscatter ratio deter- mined on the 30 August 2003 at Thessaloniki evolution and was not mixed with the boundary layer aerosols mainly originating from local pollution

  9. Information Products Laboratory forInformation Products Laboratory for EmergencyEmergency Response (IPLER)Response (IPLER)

    E-Print Network [OSTI]

    Zanibbi, Richard

    internet #12;LiDAR sensor for 3D measurementsLiDAR sensor for 3D measurements Light detection and ranging Printing Office, 2005 #12;IPLER Problem Statement IIIPLER Problem Statement II ...THUS - disaster response products 3. Transfer technology and knowledge to industry and users 4. Ensure IPLER sustainability through

  10. Passive Tomography of Turbulence Strength Marina Alterman1

    E-Print Network [OSTI]

    Sheikh, Yaser Ajmal

    expensive. Turbulence significantly affects the efficiency of wind turbine #12;2 M. Alterman, Y. Y), wind, and atmospheric stability. This is measured using special Doppler lidars [9, 31], which are very. Schechner, M. Vo and S. G. Narasimhan farms [31], hence optimizing turbines and farms involves measuring TS

  11. Annual Report of the EURATOM/CCFE Fusion Programme 2009/10 8 ITER Systems

    E-Print Network [OSTI]

    and building to start in 2010. Fusion for Energy (F4E), the European domestic agency, which has to deliver and the ancillary buildings was completed at Cadarache in the south of France, and is now ready for excavations cyclotron resonance heating (ICRH) system; ¡ Neutral beam injection system; ¡ Core LIDAR Thompson scattering

  12. Combined CloudSatCALIPSOMODIS retrievals of the properties of ice clouds

    E-Print Network [OSTI]

    Hogan, Robin

    March 2010; published 21 July 2010. [1] In this paper, data from spaceborne radar, lidar and infrared radiometers on the "ATrain" of satellites are combined in a variational algorithm to retrieve ice cloud the impact of the microphysical assumptions on the algorithm when radiances are not assimilated by evaluating

  13. Seasonal variations of semidiurnal tidal perturbations in mesopause region temperature and zonal and meridional winds above

    E-Print Network [OSTI]

    .1029/2007JD009687. 1. Introduction [2] Solar thermal tides are global-scale waves that dom- inate to conserve wave energy. When propagating into the MLT region, the horizontal wind tidal amplitude can reach with fluorescence lidar's advantages of high temporal and spatial resolution and the capability of full diurnal

  14. Increasing output energy from a passively Q-switched Er:glass laser

    E-Print Network [OSTI]

    Friesem, Asher A.

    designators, laser range finders, wind metrology, LIDARs, and communication [8­10]. Passive Q- switches have many advantages over active ones. These include low cost, compact size and weight, robustness, and high are passively Q-switched, only the lowest spatial mode can develop. Attempts to increase the pump power in order

  15. 11 Recent highlights On the role ofOn the role of

    E-Print Network [OSTI]

    Haak, Hein

    cause cooling because they reflect solar radiation (visible and ultraviolet light) back into space. Whether a given cirrus cloud has a net warming or cooling effect depends on its optical thickness area of the ice crystals. Lidar and Radar remote sensing ¡ Over the past number of years, a new

  16. Remote Sensing of Mountain Environments Andreas Kb, Department of Geography, University of Zurich, Switzerland

    E-Print Network [OSTI]

    Kääb, Andreas

    ;2 ˇ Visible light and near infrared (VNIR): sensors collect the reflected sunlight (passive sensor); data and near infrared light, short-wave infrared, thermal infrared, and microwaves) (Figure 1). Together, LIDAR; active sensor) apply often near infrared. ˇ Short-wave infrared (SWIR): some surfaces show

  17. From sedimentary records to sediment budgets: Multiple approaches to catchment sediment flux

    E-Print Network [OSTI]

    Paris-Sud XI, UniversitĂŠ de

    From sedimentary records to sediment budgets: Multiple approaches to catchment sediment flux.M., Germany Abstract This paper reviews the traditional approach to sediment budget studies in geomorphology sensing (LiDAR), geophysics and sediment-based dating techniques for flux rate estimation. The precision

  18. Frequency agile optical parametric oscillator

    DOE Patents [OSTI]

    Velsko, Stephan P. (Livermore, CA)

    1998-01-01T23:59:59.000Z

    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.

  19. Atmos. Chem. Phys., 11, 1193711949, 2011 www.atmos-chem-phys.net/11/11937/2011/

    E-Print Network [OSTI]

    Meskhidze, Nicholas

    ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction the United States Department of Energy (US DOE) Atmo- spheric Radiation Measurement (ARM) Mixed-Phase Arc, and plant growth (e.g. Prowse et al., 2009). Of clouds observed at high latitudes, mixed-phase stratiform

  20. THE MAGIC FIELD CAMPAIGN IN THE EASTERN NORTH PACIFIC E. R. Lewis

    E-Print Network [OSTI]

    Ohta, Shigemi

    at the 7th International Scientific Conference on the Global Water and Energy Cycle, the Hague, Netherlands (Atmospheric Radiation Measurement) Climate Research Facility of the US Department of Energy, occurred between radars, lidars, a ceilometer, microwave radiometers, a total sky imager, disdrometers, and other

  1. A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience

    E-Print Network [OSTI]

    Lefsky, Michael

    - radiometer and the Geoscience Laser Altimeter System, Geophys. Res. Lett., 37, L15401, doi:10.1029/2010GL, is sensitive throughout the range of biomass [Lefsky et al., 2005a, 2005b]. Each lidar waveform is a high spatial resolution record of the energy returned when a shortduration pulse of light is returned from

  2. The Interruption of Alpine Foehn by a Cold Front. Part I: Observations

    E-Print Network [OSTI]

    Gohm, Alexander

    propagation speed wf 1 m/s Inclination of the frontal surface is wf /uf 1/7.5 8° Freitag (1990 in valleys Interaction with local winds (e.g., foehn) foehn cold front Cold front in complex terrain ? ? #12 in Inn and Wipp Valley Temperature slope profile Doppler wind lidar in Wipp Valley #12;6 of 13 Case study

  3. Geospatial analysis of a coastal sand dune field evolution: Jockey's Ridge, North Carolina

    E-Print Network [OSTI]

    Mitasova, Helena

    Geospatial analysis of a coastal sand dune field evolution: Jockey's Ridge, North Carolina Helena, geospatial analysis, feature extraction, and quantification of change. These techniques were applied requires in-depth understanding of their evolution. Modern geospatial technologies such as lidar, real time

  4. Gravity waves in the arctic mesosphere during the MaCWAVE/MIDAS summer rocket program

    E-Print Network [OSTI]

    with the mean state. Previous rocket campaigns addressing gravity wave dynam- ics included MAC/SINE, MAC/EPSILON [Thrane, 1990], and CADRE/MALTED [Fritts et al., 1997]. [3] The MaCWAVE/MIDAS campaign in July 2002 the Andøya Rocket Range in northern Norway with ground-based lidar and radar measurements from the nearby

  5. 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

  6. Quantitative Methods for Comparing Different Polyline Stream Network Models

    SciTech Connect (OSTI)

    Danny L. Anderson; Daniel P. Ames; Ping Yang

    2014-04-01T23:59:59.000Z

    Two techniques for exploring relative horizontal accuracy of complex linear spatial features are described and sample source code (pseudo code) is presented for this purpose. The first technique, relative sinuosity, is presented as a measure of the complexity or detail of a polyline network in comparison to a reference network. We term the second technique longitudinal root mean squared error (LRMSE) and present it as a means for quantitatively assessing the horizontal variance between two polyline data sets representing digitized (reference) and derived stream and river networks. Both relative sinuosity and LRMSE are shown to be suitable measures of horizontal stream network accuracy for assessing quality and variation in linear features. Both techniques have been used in two recent investigations involving extracting of hydrographic features from LiDAR elevation data. One confirmed that, with the greatly increased resolution of LiDAR data, smaller cell sizes yielded better stream network delineations, based on sinuosity and LRMSE, when using LiDAR-derived DEMs. The other demonstrated a new method of delineating stream channels directly from LiDAR point clouds, without the intermediate step of deriving a DEM, showing that the direct delineation from LiDAR point clouds yielded an excellent and much better match, as indicated by the LRMSE.

  7. Volume estimates of trees with complex architecture from terrestrial laser scanning

    E-Print Network [OSTI]

    Lefsky, Michael

    consuming and can require destructive sampling. In this study we used a terrestrial lidar sensor; data was analyzed on the basis of branch size and the sampling pattern of the sensor. Two hundred and fifty. 2, 023521 (14 May 2008) Š 2008 Society of Photo-Optical Instrumentation Engineers [DOI: 10

  8. Sean C. Ahearn, Ph.D. Department of Geography Hunter College, The Doctoral Program in Earth and Environmental

    E-Print Network [OSTI]

    Frei, Allan

    and potential applications of high density LiDAR data for the City of New York" , Proceedings American Society Research". $409,000. 2. US Department of Energy. 2010-11. Co-PI. "NYC Solar Map", Directed development and Environmental Sciences, City University of New York; and Director: Center for Advanced Research of Spatial

  9. THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE

    E-Print Network [OSTI]

    Brennan, Sean

    . #12;i ABSTRACT With advances in range finding technology and computing power, vehicle automation ENGINEERING SIMULATION OF A VEHICLE DOCKING AND COLLISION AVOIDANCE SYSTEM USING LIDAR-BASED OBJECT TRACKING is becoming increasingly commonplace. One of the requirements for these vehicles is to meet or exceed

  10. Frequency agile optical parametric oscillator

    DOE Patents [OSTI]

    Velsko, S.P.

    1998-11-24T23:59:59.000Z

    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.

  11. A Nested Micro-Scale Simulation of a Lake Michigan Land-Breeze Front Gijs de Boer,Gregory J.Tripoli,Edwin W.Eloranta

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    Experiments (LAKE-ICE) on 21 December 1997,the University of Wisconsin Volume Imaging Lidar (UW-VIL) observedA Nested Micro-Scale Simulation of a Lake Michigan Land-Breeze Front Gijs de Boer,Gregory J.Tripoli,Edwin W.Eloranta Department of Atmospheric and Oceanic Sciences,The University of Wisconsin - Madison

  12. Introduction As part of the LAKE-ICE experiment the University of Wisconsin Volume

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    Introduction As part of the LAKE-ICE experiment the University of Wisconsin Volume Imaging Lidar (VIL) observed a land-breeze circulation along the western shore of Lake Michigan. During the classic structure of a density current along with gravity waves forced by the front. The University

  13. A GIS-Assisted Rail Construction Econometric Model that Incorporates LlDAR Data

    E-Print Network [OSTI]

    Hodgson, Michael E.

    A GIS-Assisted Rail Construction Econometric Model that Incorporates LlDAR Data David J. Cowen employed a raster GIS econometric routing model for the exploration of potential routes using construction in the grid-based econometric model was obtained from Light Detection and Ranging (LIDAR)data with accurate 0

  14. Morphological barrier island changes and recovery of dunes after Hurricane Dennis, St. George Island, Florida

    E-Print Network [OSTI]

    Fagherazzi, Sergio

    of the barrier island are analyzed, along with the short-term post-storm recovery of secondary dunes. ResultsMorphological barrier island changes and recovery of dunes after Hurricane Dennis, St. George September 2009 Keywords: Dune recovery LiDAR Overwash Hurricane Dennis Barrier island During the summer

  15. Effectsof ice-crystal structure on halo formation: cirrus cloud

    E-Print Network [OSTI]

    Takano, Yoshihide

    Effectsof ice-crystal structure on halo formation: cirrus cloud experimental and ray campaign, four 220halo-producing cirrus clouds were studied jointly from a ground- based polarization lidar of the aircraft, which collecteda total of 84slides byimpaction, preserving the ice crystals for later microscopic

  16. Session: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO.202) Track: Technical

    E-Print Network [OSTI]

    tower-mounted instruments. Typical turbine hub heights are now in excess of 70m. For such machinesSession: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO.202) Track: Technical COMMERCIAL LIDAR PROFILERS FOR WIND ENERGY. A COMPARATIVE GUIDE. (abstract

  17. Modeling a Prototype Optical Collision Avoidance Sensor For Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Hornsey, Richard

    of direct solar illumination. We demonstrate a prototype system based on a network of independent camera emulator allows for realistic field tests with consumer components. Aspects of the design, implementation. Numerous versions of the SAA instrument based on radar, LIDAR and passive- optical, among other

  18. HyperCube Updates Version 11.2 (05/9/14)

    E-Print Network [OSTI]

    and 64 bit) needed to process Lidar full wave form (FWF) sample data files (SDF) in now included. This functionality only applies to the Windows PC version. An SDF example data set, Duncan Knob.zip, has been added and process Riegl (www.riegl.com) full wave form (FWF) sample data files (SDF) has been added (menu File

  19. Quick Start The various sample data files after expansion (use Zip)

    E-Print Network [OSTI]

    library (49 signature files and 1 library list file, all in ASCII, 300 KB). Duncan Knob.sdf Lidar full wave form SDF file (60 MB). Duncan Knob.idx Required index file for Duncan Knob.sdf (4.5 MB). sbet_mission 1.out Smoothed Best Estimate of Trajectory file. Needed for Duncan Knob.sdf (98 MB). Immediate

  20. Building boundary is necessary for the real estate industry, flood management, and homeland security applications.

    E-Print Network [OSTI]

    Shan, Jie

    Abstract Building boundary is necessary for the real estate industry, flood management, and homeland security applications. The extraction of building boundary is also a crucial and difficult step, and Purdue University campus are evaluated. Introduction Airborne lidar (light detection and ranging

  1. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 11, NO. 1, JANUARY 2014 5 Retrieval of Forest Stand Age From SAR Image

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -Fernandez Abstract--Data on forest variables (e.g., biomass, trunk height, density) are necessary for environmental contender as an alternative to the usual o based relationships applied to this type of forest. Index Terms--Biomass of backscattering coefficient o/biomass relationships [4]. If available, LIDAR data that supply height estimations

  2. ICOWES2013 Conference 17-19 June 2013, Lyngby WINDS OBSERVED IN THE NORTHERN EUROPEAN SEAS WITH

    E-Print Network [OSTI]

    Haak, Hein

    ICOWES2013 Conference 17-19 June 2013, Lyngby 1 WINDS OBSERVED IN THE NORTHERN EUROPEAN SEAS and SSM/I have been compared to offshore meteorological data. For the final satellite-based wind atlas 9 shear observed from the lidars. #12;Another aim was to produce a wind atlas based on satellite data

  3. Session: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO.206) Track: Technical

    E-Print Network [OSTI]

    Session: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO the erection of masts equipped with calibrated cup or sonic anemometers. In order to reduce costs associated, the mean horizontal wind speed measured with a LiDAR shows very good comparison to cup anemometers. However

  4. Map-aided Fusion Using Evidential Grids for Mobile Perception in Urban Environment

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Map-aided Fusion Using Evidential Grids for Mobile Perception in Urban Environment Marek Kurdej knowl- edge. A geographic map is considered an additional source of information fused with a grid are detailed in sec- tion 2.4. Figure 1 presents a general overview of our approach. LIDAR Applanix maps ScanGrid

  5. First estimates of mass concentrations from Eyjafjll over The Netherlands using PCA on

    E-Print Network [OSTI]

    Graaf, Martin de

    First estimates of mass concentrations from EyjafjĂśll over The Netherlands using PCA on multi The Netherlands a limit has been proposed of 1 mg m-3. Here, we present preliminary results from Raman lidar measurements made in central Netherlands. A first estimate of the maximum mass loading that occurred over

  6. Session: Site assessment (CS4.4) Track: Scientific

    E-Print Network [OSTI]

    in horizontal focus distances. Results: Half hour periods as functions of direction show that the wind speed observed as it was expected. Conclusion: We can measure profiles with a LiDAR both of the mean wind speed, the wind direction, and, with more uncertainty, the momentum flux in vertical scanning mode and simple

  7. Prof. David Matthiesen, Ph.D. Faculty Director

    E-Print Network [OSTI]

    Rollins, Andrew M.

    capacity installed as of the end of 2011 and over 8,300 MW currently under construction in the U The WERC Center facilities include: A. Natural Power ZephIR ¡ LiDAR wind measurement system B. NPS North

  8. Annual Report of the EURATOM/CCFE Fusion Programme 2013 8 ITER SYSTEMS

    E-Print Network [OSTI]

    and undertake leading or major roles in the design and R&D of ITER specialist systems (Plasma Heating, Diagnostics and Remote Handling etc.). Seek to play other design roles in R&D of ITER specialist systems Resonance Heating (ICRH) system. Neutral Beam Injection heating system. Core LIDAR Thompson scattering

  9. Annual Report of the EURATOM/CCFE Fusion Programme 2012/13 8 ITER SYSTEMS

    E-Print Network [OSTI]

    Heating, Diagnostics and Remote Handling etc). ¡ Seek to play other design roles in R&D of ITER specialist in the following key ITER systems: ¡ Ion Cyclotron Resonance Heating (ICRH) system. ¡ Neutral Beam Injection heating system. ¡ Core LIDAR Thompson scattering to measure the electron temperature and density profiles

  10. Eurographics/ IEEE-VGTC Symposium on Visualization 2008 A. Vilanova, A. Telea, G. Scheuermann, and T. Mller

    E-Print Network [OSTI]

    Wartell, Zachary

    LIDAR remote sensing data and not just [the resulting] bare earth [Digital Elevation Maps (DEM)]," "research on using the entire point cloud of this remote sensing data for scien- tific applications has been including a main 3D view, a heat map view and a zoomed-in inspection view. For the main 3D view a three

  11. Ris-R-Report Flow distortion on boom mounted cup

    E-Print Network [OSTI]

    of this magnitude are severely problematic in the measurement of wind turbine power performance, wind resource assessment and for providing purposeful in-field comparisons between different sensors, e.g. lidar: References: 9 Information Service Department Risø National Laboratory for Sustainable Energy Technical

  12. Cruise Report R/V F. G. Walton Smith Cruise 0813

    E-Print Network [OSTI]

    Sundermeyer, Miles A.

    Cruise Report R/V F. G. Walton Smith Cruise 0813 7 - 11 September 2008 Development Cruise for Dye Experiments with Airborne LIDAR DRAFT Summary The purpose of the Walton Smith Cruise 0813 was to develop, Engineer Stewart Bell, Mate Jimmy Bovina, Cook William Smith, ABS Dennis Ilias, Marine Technician, RSMAS

  13. The Bolund Experiment Design of Measurement Campaign using CFD

    E-Print Network [OSTI]

    determination of mean wind, wind gradients and turbulence intensity on potential wind turbine positions complex terrain for reliable estimation of power production and wind turbine loads. ¡ Development of remote sensing techniques (Lidar) for measuring wind conditions in complex terrain, including

  14. Ris-R-Report 12MW: final report

    E-Print Network [OSTI]

    at the Horns Rev offshore wind farm deploying a lidar and a sodar on the transformer platform. The observed the scientific basis relevant for the next generation of huge 12 MW wind turbines operating offshore. The project data were successfully compared to offshore mast data and the wind profile was extended 100 m above

  15. Integrating multi-temporal spectral and structural information to map wetland vegetation in a lower Connecticut River tidal marsh

    E-Print Network [OSTI]

    Royer, Dana

    : Coastal wetlands Image classification LiDAR Phragmites australis QuickBird Spectroradiometer Vegetation variability of the dominant marsh plant species, Spartina patens, Phragmites australis and Typha spp-native genotype of Phragmites australis (Cav.) Trin. ex Steud (common reed) in Connecticut marshes (Barrett

  16. Tracking Dynamic Boundary Fronts using Range Sensors

    E-Print Network [OSTI]

    Ramamritham, Krithi

    are being deployed for real-time monitoring applica- tions, such as detecting leakage of hazardous material location whereas in the latter approach a sensor finds approximate distance to a remote location where degrees and gather reflec- tivity and wind velocity information. Lidars (LIght Detection and Ranging

  17. 3-D MAPPING TECHNOLOGIES FOR HIGH LEVEL WASTE TANKS

    SciTech Connect (OSTI)

    Marzolf, A.; Folsom, M.

    2010-08-31T23:59:59.000Z

    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.

  18. 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)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layered NbS2 and NbSe2 .2004 North Slope

  19. Remote laser detection of natural gas leakages from pipelines

    SciTech Connect (OSTI)

    Petukhov, V O; Gorobets, V A [B.I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk (Belarus); Andreev, Yu M [Institute of Monitoring of Climatic and Ecological Systems, Siberian Division of the Russian Academy of Sciences, Tomsk (Russian Federation); Lanskii, G V

    2010-02-28T23:59:59.000Z

    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)

  20. Continuous Profiles of Cloud Microphysical Properties for the Fixed Atmospheric Radiation Measurement Sites

    SciTech Connect (OSTI)

    Jensen, M; Jensen, K

    2006-06-01T23:59:59.000Z

    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.

  1. REL ATRIO DE DESENVOLVIMENTO HUMANO 2007/2008 1 "O progresso humano no automtico nem inevitvel. Somos actualmente con ontados

    E-Print Network [OSTI]

    pobres do mundo, milhþes de pessoas são jå obrigadas a lidar com os impactos das alteraçþes climåticas. Esses impactos não captam uma atenção de destaque nos meios de comunicação mundiais en- quanto eventos número de situaçþes de seca, de tempestades mais violentas, de cheias, e de stress ambiental estå

  2. Reconciling Ground-Based and Space-Based Estimates of the Frequency of Occurrence and Radiative Effect of Clouds around Darwin, Australia

    SciTech Connect (OSTI)

    Protat, Alain; Young, Stuart; McFarlane, Sally A.; L'Ecuyer, Tristan; Mace, Gerald G.; Comstock, Jennifer M.; Long, Charles N.; Berry, Elizabeth; Delanoe, Julien

    2014-02-01T23:59:59.000Z

    The objective of this paper is to investigate whether estimates of the cloud frequency of occurrence and associated cloud radiative forcing as derived from ground-based and satellite active remote sensing and radiative transfer calculations can be reconciled over a well instrumented active remote sensing site located in Darwin, Australia, despite the very different viewing geometry and instrument characteristics. It is found that the ground-based radar-lidar combination at Darwin does not detect most of the cirrus clouds above 10 km (due to limited lidar detection capability and signal obscuration by low-level clouds) and that the CloudSat radar - Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) combination underreports the hydrometeor frequency of occurrence below 2 km height, due to instrument limitations at these heights. The radiative impact associated with these differences in cloud frequency of occurrence is large on the surface downwelling shortwave fluxes (ground and satellite) and the top-of atmosphere upwelling shortwave and longwave fluxes (ground). Good agreement is found for other radiative fluxes. Large differences in radiative heating rate as derived from ground and satellite radar-lidar instruments and RT calculations are also found above 10 km (up to 0.35 Kday-1 for the shortwave and 0.8 Kday-1 for the longwave). Given that the ground-based and satellite estimates of cloud frequency of occurrence and radiative impact cannot be fully reconciled over Darwin, caution should be exercised when evaluating the representation of clouds and cloud-radiation interactions in large-scale models and limitations of each set of instrumentation should be considered when interpreting model-observations differences.

  3. Oktober 26. 2009 Prediction of Load and Power Fluctuations from Wind Turbine

    E-Print Network [OSTI]

    and into the tangential direction of rotation of the wind turbine given by 1 0tan 2 2 0 (1.6) This is because a lidarOktober 26. 2009 Vers 003 Prediction of Load and Power Fluctuations from Wind Turbine Spinner for the fluctuating loads on the blade tip: The lift force on a section of a wind turbine's blade is given by the lift

  4. A Geologic Characterization of the Alongshore Variability in Beach-Dune Morphology: Padre Island National Seashore, Texas

    E-Print Network [OSTI]

    Weymer, Bradley

    2012-07-16T23:59:59.000Z

    Page 1 Location map showing aerial LiDAR image from December, 2010 and satellite image of the three study sites ..................... 5 2 Example of coppice dunes along the backbeach stabilized by seaweed..., 1958). It is common, especially during the summer months for large amounts of Sargassum seaweed to wash up onshore, which is described by Weise (1980) to aide in the development of coppice dune fields along the foreshore (Figure 2a). From summer...

  5. A study of a dual polarization laser backscatter system for remote identification and measurement of water pollution

    E-Print Network [OSTI]

    Sheives, Thomas Carlyle

    1974-01-01T23:59:59.000Z

    OF TABLES Table IV-1 Lidar Polarimeter Specifications ~Pa e 45 VI-1 Several Parameters Used for Computations in Single Scatter Model 65 VI-2 Scattering and Extinction Coefficients for Polystyrene Latex and Teflon Particles . 65 Values of Refractive... Up Aboard The Boat Excellence 55 55 57 59 VI-1 Comparison of Calculated Single Scatter Return with Experimental Data as a Function of Field of View and Latex Particle Concentration . . . . . 67 ~Fi ure VI-2 Comparison of Transmit...

  6. ARM - Evaluation Product - Vertical Air Motion during Large-Scale

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  7. The effect of aerosol vertical profiles on satellite-estimated surface particle sulfate concentrations

    SciTech Connect (OSTI)

    Liu, Yang; Wang, Zifeng; Wang, Jun; Ferrare, Richard A.; Newsom, Rob K.; Welton, Ellsworth J.

    2011-02-15T23:59:59.000Z

    The aerosol vertical distribution is an important factor in determining the relationship between satellite retrieved aerosol optical depth (AOD) and ground-level fine particle pollution concentrations. We evaluate how aerosol profiles measured by ground-based lidar and simulated by models can help improve the association between AOD retrieved by the Multi-angle Imaging Spectroradiometer (MISR) and fine particle sulfate (SO4) concentrations using matched data at two lidar sites. At the Goddard Space Flight Center (GSFC) site, both lidar and model aerosol profiles marginally improve the association between SO4 concentrations and MISR fractional AODs, as the correlation coefficient between cross-validation (CV) and observed SO4 concentrations changes from 0.87 for the no-scaling model to 0.88 for models scaled with aerosol vertical profiles. At the GSFC site, a large amount of urban aerosols resides in the well-mixed boundary layer so the column fractional AODs are already excellent indicators of ground-level particle pollution. In contrast, at the Atmospheric Radiation Measurement Program (ARM) site with relatively low aerosol loadings, scaling substantially improves model performance. The correlation coefficient between CV and observed SO4 concentrations is increased from 0.58 for the no-scaling model to 0.76 in the GEOS-Chem scaling model, and the model bias is reduced from 17% to 9%. In summary, despite the inaccuracy due to the coarse horizontal resolution and the challenges of simulating turbulent mixing in the boundary layer, GEOS-Chem simulated aerosol profiles can still improve methods for estimating surface aerosol (SO4) mass from satellite-based AODs, particularly in rural areas where aerosols in the free troposphere and any long-range transport of aerosols can significantly contribute to the column AOD.

  8. STELLOPT Modeling of the 3D Diagnostic Response in ITER

    SciTech Connect (OSTI)

    Lazerson, Samuel A

    2013-05-07T23:59:59.000Z

    The ITER three dimensional diagnostic response to an n=3 resonant magnetic perturbation is modeled using the STELLOPT code. The in-vessel coils apply a resonant magnetic perturbation (RMP) fi eld which generates a 4 cm edge displacement from axisymmetry as modeled by the VMEC 3D equilibrium code. Forward modeling of flux loop and magnetic probe response with the DIAGNO code indicates up to 20 % changes in measured plasma signals. Simulated LIDAR measurements of electron temperature indicate 2 cm shifts on the low field side of the plasma. This suggests that the ITER diagnostic will be able to diagnose the 3D structure of the equilibria.

  9. Cloudnet Project

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

    Hogan, Robin

    Cloudnet is a research project supported by the European Commission. This project aims to use data obtained quasi-continuously for the development and implementation of cloud remote sensing synergy algorithms. The use of active instruments (lidar and radar) results in detailed vertical profiles of important cloud parameters which cannot be derived from current satellite sensing techniques. A network of three already existing cloud remote sensing stations (CRS-stations) will be operated for a two year period, activities will be co-ordinated, data formats harmonised and analysis of the data performed to evaluate the representation of clouds in four major european weather forecast models.

  10. A multichannel, synchronous laser signal processing system

    E-Print Network [OSTI]

    Hulse, William Colbern

    2012-06-07T23:59:59.000Z

    . Janice Carter and Mrs. Connie Schilhab, This research was funded by the United States Coast Guard under contract DOT- CG-34017-A. To Roselyn TABLE OF CONTENTS ~hh h ABSTRACT ACKNOWLEDGEMENTS DEDICATION TABLE OF CONTENTS. LIST OF FIGURES. LIST... Pe Q Q pe Qe @Qe Qe Qe Qe p? pe p, Qe 100 200 300 400 Turbidity (FTU) 500 600 700 Figure 1-1. Lidar Depolarization Ratio as a Function of Turbidity Chopper Linear Pol Laser Receiving Optics Telephoto Lense Pho odiod s Figure I...

  11. ARM CLASIC ER2 CRS/EDOP

    SciTech Connect (OSTI)

    Gerald Heymsfield

    2010-12-20T23:59:59.000Z

    Data was taken with the NASA ER-2 aircraft with the Cloud Radar System and other instruments in conjunction with the DOE ARM CLASIC field campaign. The flights were near the SGP site in north Central Oklahoma and targeted small developing convection. The CRS is a 94 GHz nadir pointing Doppler radar. Also on board the ER-2 was the Cloud Physics Lidar (CPL). Seven science flights were conducted but the weather conditions did not cooperate in that there was neither developing convection, or there was heavy rain.

  12. Variability in Long-Wave Runup as a Function of Nearshore Bathymetric Features

    E-Print Network [OSTI]

    Dunkin, Lauren M.

    2011-08-08T23:59:59.000Z

    and can be highly variable. The dynamic environment along the coast requires the thorough analysis of offshore features (Plant and Holman, 1997; Wang and Davis, 1998) which can be obtained through Light Detection and Ranging (lidar) (Brock et al., 2002... the movement of the sandbar to growth ratio. The results show that the sandbars moved onshore when the significant wave height was less than 1 m and offshore for wave heights greater than 1 m (Plant and Holman, 1997). The magnitude of the sandbar response...

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

    SciTech Connect (OSTI)

    Richard A. Ferrare; David D. Turner

    2011-09-01T23:59:59.000Z

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

  14. ARM - Publications: Science Team Meeting Documents

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by Microtops AtmosphericApplication and EvaluationUsing ARMOnImpact ofCombinationAircraftLidar

  15. ARM - Evaluation Product - Multispectral Thermal Imager (MTI)

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  16. ARM - Evaluation Product - NSA-Barrow AmeriFlux and Methane VAP

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  17. ARM - Evaluation Product - Organic Aerosol Component VAP

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  18. ARM - Evaluation Product - Precipitation Radar Moments Mapped to a

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  19. ARM - Evaluation Product - Quantitative Precipitation Estimates (QPE) from

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/InfraredProductsMicroPulse LIDAR Cloudthe CSAPR

  20. ARM - Evaluation Product - Radiatively Important Parameters Best Estimate

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/InfraredProductsMicroPulse LIDAR Cloudthe CSAPR(RIPBE)

  1. ARM - Evaluation Product - Sonde-Adjust

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/InfraredProductsMicroPulse LIDAR Cloudthe

  2. ARM - Evaluation Product - Station-based Surface Data Set

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/InfraredProductsMicroPulse LIDAR CloudtheProductsStation-based

  3. Research Highlight

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations of Aerosol

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations of AerosolEvaluation of

  5. Research Highlight

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  6. Research Highlight

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  1. Research Highlight

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  1. Research Highlight

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  5. Microscopic Reactive Diffusion of Uranium in the Contaminated Sediments at

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  7. Microscopy with Slow Electrons: From LEEM to XPEEM

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  8. Microseismic Tracer Particles for Hydraulic Fracturing

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  9. Microsoft BPA proposal extends Port Townsend Paper contract nine years

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  11. Microsoft PowerPoint - 00_agenda_02_ops_in_fy13.pptx

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  12. Microsoft PowerPoint - 01XEPO-0_SystemOverview.pptx

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

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  14. Microsoft PowerPoint - 02.11.2010_Smart Grid Conference.pptx

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  15. Microsoft PowerPoint - 02XEPO-0_Lustre.pptx

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  16. Microsoft PowerPoint - 02_A_AWG_Monterey_ALIVE_Schmid_short.ppt [Compatibility Mode]

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  17. Microsoft PowerPoint - 02_C_knobelsp.ppt [Compatibility Mode]

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  18. Microsoft PowerPoint - 03.2010_Metering Billing MDM America.pptx

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  19. Microsoft PowerPoint - 03072012 ModSim_Industry_Montgomery.pptx

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  20. Microsoft PowerPoint - 0326_clowd.ppt [Compatibility Mode]

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  1. Microsoft PowerPoint - 0326_jensen.ppt [Compatibility Mode]

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  2. Microsoft PowerPoint - 03_McFarlane_AWG.ppt [Compatibility Mode]

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  3. Microsoft PowerPoint - 04_bedka_turner_awg_advertisement.ppt [Compatibility Mode]

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  4. Microsoft PowerPoint - 05_ARM 2007 Meeting.ppt [Compatibility Mode]

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  5. Microsoft PowerPoint - 06_ARM_AWG_Lacis_2007.ppt [Compatibility Mode]

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  6. Microsoft PowerPoint - 0709-NERSC-XT+ToolsTutorial.ppt

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  8. Slide 1

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  9. Slide 1

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  10. Midlatitude Cirrus Clouds and Multiple Tropopauses from a 2002-2006 Climatology over the SIRTA Observatory

    E-Print Network [OSTI]

    Noel, Vincent

    2007-01-01T23:59:59.000Z

    This study present a comparison of lidar observations of midlatitude cirrus clouds over the SIRTA observatory between 2002 and 2006 with multiple tropopauses (MT) retrieved from radiosounding temperature profiles. The temporal variability of MT properties (frequency, thickness) are discussed. Results show a marked annual cycle, with MT frequency reaching its lowest point in May (~18% occurrence of MT) and slowly rising to more than 40% in DJF. The average thickness of the MT also follows an annual cycle, going from less than 1 km in spring to 1.5 km in late autumn. Comparison with lidar observations show that cirrus clouds show a preference for being located close below the 1st tropopause. When the cloud top is above the 1st tropopause (7% of observations), in 20% of cases the cloud base is above it as well, resulting in a cirrus cloud "sandwiched" between the two tropopauses. Compared to the general distribution of cirrus, cross-tropopause cirrus show a higher frequency of large optical depths, while inter-t...

  11. Cloud Properties and Radiative Heating Rates for TWP

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

    Comstock, Jennifer

    A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013). The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associated VAPs.

  12. Satellite-based laser windsounder

    SciTech Connect (OSTI)

    Schultz, J.F.; Czuchlewski, S.J.; Quick, C.R. [and others

    1997-08-01T23:59:59.000Z

    This is the final report of a one-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The project`s primary objective is to determine the technical feasibility of using satellite-based laser wind sensing systems for detailed study of winds, aerosols, and particulates around and downstream of suspected proliferation facilities. Extensive interactions with the relevant operational organization resulted in enthusiastic support and useful guidance with respect to measurement requirements and priorities. Four candidate wind sensing techniques were evaluated, and the incoherent Doppler technique was selected. A small satellite concept design study was completed to identify the technical issues inherent in a proof-of-concept small satellite mission. Use of a Mach-Zehnder interferometer instead of a Fabry-Perot would significantly simplify the optical train and could reduce weight, and possibly power, requirements with no loss of performance. A breadboard Mach-Zehnder interferometer-based system has been built to verify these predictions. Detailed plans were made for resolving other issues through construction and testing of a ground-based lidar system in collaboration with the University of Wisconsin, and through numerical lidar wind data assimilation studies.

  13. Stability and Turbulence in the Atmospheric Boundary Layer: A Comparison of Remote Sensing and Tower Observations

    SciTech Connect (OSTI)

    Friedrich, K.; Lundquist, J. K.; Aitken, M.; Kalina, E. A.; Marshall, R. F.

    2012-01-01T23:59:59.000Z

    When monitoring winds and atmospheric stability for wind energy applications, remote sensing instruments present some advantages to in-situ instrumentation such as larger vertical extent, in some cases easy installation and maintenance, measurements of vertical humidity profiles throughout the boundary layer, and no restrictions on prevailing wind directions. In this study, we compare remote sensing devices, Windcube lidar and microwave radiometer, to meteorological in-situ tower measurements to demonstrate the accuracy of these measurements and to assess the utility of the remote sensing instruments in overcoming tower limitations. We compare temperature and wind observations, as well as calculations of Brunt-Vaisala frequency and Richardson numbers for the instrument deployment period in May-June 2011 at the U.S. Department of Energy National Renewable Energy Laboratory's National Wind Technology Center near Boulder, Colorado. The study reveals that a lidar and radiometer measure wind and temperature with the same accuracy as tower instruments, while also providing advantages for monitoring stability and turbulence. We demonstrate that the atmospheric stability is determined more accurately when the liquid-water mixing ratio derived from the vertical humidity profile is considered under moist-adiabatic conditions.

  14. Cloud Properties and Radiative Heating Rates for TWP

    SciTech Connect (OSTI)

    Comstock, Jennifer

    2013-11-07T23:59:59.000Z

    A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013). The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associated VAPs.

  15. Assessment of Uncertainty in Cloud Radiative Effects and Heating Rates through Retrieval Algorithm Differences: Analysis using 3-years of ARM data at Darwin, Australia

    SciTech Connect (OSTI)

    Comstock, Jennifer M.; Protat, Alain; McFarlane, Sally A.; Delanoe, Julien; Deng, Min

    2013-05-22T23:59:59.000Z

    Ground-based radar and lidar observations obtained at the Department of Energy’s Atmospheric Radiation Measurement Program’s Tropical Western Pacific site located in Darwin, Australia are used to retrieve ice cloud properties in anvil and cirrus clouds. Cloud microphysical properties derived from four different retrieval algorithms (two radar-lidar and two radar only algorithms) are compared by examining mean profiles and probability density functions of effective radius (Re), ice water content (IWC), extinction, ice number concentration, ice crystal fall speed, and vertical air velocity. Retrieval algorithm uncertainty is quantified using radiative flux closure exercises. The effect of uncertainty in retrieved quantities on the cloud radiative effect and radiative heating rates are presented. Our analysis shows that IWC compares well among algorithms, but Re shows significant discrepancies, which is attributed primarily to assumptions of particle shape. Uncertainty in Re and IWC translates into sometimes-large differences in cloud radiative effect (CRE) though the majority of cases have a CRE difference of roughly 10 W m-2 on average. These differences, which we believe are primarily driven by the uncertainty in Re, can cause up to 2 K/day difference in the radiative heating rates between algorithms.

  16. Flight Testing of an Advanced Airborne Natural Gas Leak Detection System

    SciTech Connect (OSTI)

    Dawn Lenz; Raymond T. Lines; Darryl Murdock; Jeffrey Owen; Steven Stearns; Michael Stoogenke

    2005-10-01T23:59:59.000Z

    ITT Industries Space Systems Division (Space Systems) has developed an airborne natural gas leak detection system designed to detect, image, quantify, and precisely locate leaks from natural gas transmission pipelines. This system is called the Airborne Natural Gas Emission Lidar (ANGEL) system. The ANGEL system uses a highly sensitive differential absorption Lidar technology to remotely detect pipeline leaks. The ANGEL System is operated from a fixed wing aircraft and includes automatic scanning, pointing system, and pilot guidance systems. During a pipeline inspection, the ANGEL system aircraft flies at an elevation of 1000 feet above the ground at speeds of between 100 and 150 mph. Under this contract with DOE/NETL, Space Systems was funded to integrate the ANGEL sensor into a test aircraft and conduct a series of flight tests over a variety of test targets including simulated natural gas pipeline leaks. Following early tests in upstate New York in the summer of 2004, the ANGEL system was deployed to Casper, Wyoming to participate in a set of DOE-sponsored field tests at the Rocky Mountain Oilfield Testing Center (RMOTC). At RMOTC the Space Systems team completed integration of the system and flew an operational system for the first time. The ANGEL system flew 2 missions/day for the duration for the 5-day test. Over the course of the week the ANGEL System detected leaks ranging from 100 to 5,000 scfh.

  17. Review of remote-sensor potential for wind-energy studies

    SciTech Connect (OSTI)

    Hooke, W.H.

    1981-03-01T23:59:59.000Z

    This report evaluates a number of remote-sensing systems such as radars, lidars, and acoustic echo sounders which are potential alternatives to the cup- and propeller anemometers routinely used in wind energy siting. The high costs and demanding operational requirements of these sensors currently preclude their use in the early stages of a multi-phase wind energy siting strategy such as that recently articulated by Hiester and Pennell (1981). Instead, these systems can be used most effectively in the lattermost stages of the siting process - what Hiester and Pennell (1981) refer to as the site development phase, necessary only for the siting of large wind-energy conversion systems (WECS) or WECS clusters. Even for this particular application only four techniques appear to be operational now; that is, if used properly, these techniques should provide the data sets currently considered adequate for wind-energy siting purposes. They are, in rough order of increasing expense and operating demands: optical transverse wind sensors; acoustic Doppler sounders; time-of-flight and continuous wave (CW) Doppler lidar; and frequency-modulated, continuous wave (FM-CW) Doppler radar.

  18. Science Goals for the ARM Recovery Act Radars

    SciTech Connect (OSTI)

    JH Mather

    2012-05-29T23:59:59.000Z

    Science Goals for the ARM Recovery Act Radars. In October 2008, an ARM workshop brought together approximately 30 climate research scientists to discuss the Atmospheric Radiation Measurement (ARM) Climate Research Facility's role in solving outstanding climate science issues. Through this discussion it was noted that one of ARM's primary contributions is to provide detailed information about cloud profiles and their impact on radiative fluxes. This work supports cloud parameterization development and improved understanding of cloud processes necessary for that development. A critical part of this work is measuring microphysical properties (cloud ice and liquid water content, cloud particle sizes, shapes, and distribution). ARM measurements and research have long included an emphasis on obtaining the best possible microphysical parameters with the available instrumentation. At the time of the workshop, this research was reaching the point where additional reduction in uncertainties in these critical parameters required new instrumentation for applications such as specifying radiative heating profiles, measuring vertical velocities, and studying the convective triggering and evolution of three-dimensional (3D) cloud fields. ARM was already operating a subset of the necessary instrumentation to make some progress on these problems; each of the ARM sites included (and still includes) a cloud radar (operating at 35 or 94 GHz), a cloud lidar, and balloon-borne temperature and humidity sensors. However, these measurements were inadequate for determining detailed microphysical properties in most cases. Additional instrumentation needed to improve retrievals of microphysical processes includes radars at two additional frequencies for a total of three at a single site (35 GHz, 94 GHz, and a precipitation radar) and a Doppler lidar. Evolving to a multi-frequency scanning radar is a medium-term goal to bridge our understanding of two-dimensional (2D) retrievals to the 3D cloud field. These additional microphysical measurements would allow detailed cloud properties to be derived even in the presence of light precipitation. It is important to couple these detailed measurements of cloud microphysics to vertical motion on the cloud scale to couple microphysics with meteorological processes. Vertically pointing Doppler radars provide the vertical motion of cloud particles but, to separate particle motion from air motion, a wind profiler is required. The American Recovery and Reinvestment Act provided the means to address these needs and implement a multi-frequency suite of radars, including scanning radars, at each of the ARM sites. In addition, Doppler lidars have been deployed at several sites. With these new measurement capabilities, ARM has the measurement capabilities to tackle the problems of improving microphysical profile descriptions and evaluating the relationship between our current narrow-field-of view, zenith perspective on clouds to a description of the full 3D cloud field and its temporal evolution.

  19. FY 2005 Miniature Spherical Retroreflectors Final Report

    SciTech Connect (OSTI)

    Anheier, Norman C.; Bernacki, Bruce E.; Johnson, Bradley R.; Riley, Brian J.; Sliger, William A.

    2005-12-01T23:59:59.000Z

    Research done by the Infrared Photonics team at Pacific Northwest National Laboratory (PNNL) is focused on developing miniature spherical retroreflectors using the unique optical and material properties of chalcogenide glass to reduce both performance limiting spherical and chromatic aberrations. The optimized optical performance will provide efficient signal retroreflection that enables a broad range of remote detection scenarios for mid-wave infrared (MWIR) and long-wave infrared (LWIR) sensing applications. Miniature spherical retroreflectors can be developed to aid in the detection of signatures of nuclear proliferation or other chemical vapor or radiation signatures. Miniature spherical retroreflectors are not only well suited to traditional bistatic LIDAR methods for chemical plume detection and identification, but could enable remote detection of difficult semi-volatile chemical materials or low level radiation sources.

  20. Quantum optical technologies for metrology, sensing and imaging

    E-Print Network [OSTI]

    Jonathan P. Dowling; Kaushik P. Seshadreesan

    2014-12-24T23:59:59.000Z

    Over the past 20 years, bright sources of entangled photons have led to a renaissance in quantum optical interferometry. Optical interferometry has been used to test the foundations of quantum mechanics and implement some of the novel ideas associated with quantum entanglement such as quantum teleportation, quantum cryptography, quantum lithography, quantum computing logic gates, and quantum metrology. In this paper, we focus on the new ways that have been developed to exploit quantum optical entanglement in quantum metrology to beat the shot-noise limit, which can be used, e.g., in fiber optical gyroscopes and in sensors for biological or chemical targets. We also discuss how this entanglement can be used to beat the Rayleigh diffraction limit in imaging systems such as in LIDAR and optical lithography.

  1. System, method, and apparatus for remote measurement of terrestrial biomass

    DOE Patents [OSTI]

    Johnson, Patrick W (Jefferson, MD)

    2011-04-12T23:59:59.000Z

    A system, method, and/or apparatus for remote measurement of terrestrial biomass contained in vegetative elements, such as large tree boles or trunks present in an area of interest, are provided. The method includes providing an airborne VHF radar system in combination with a LiDAR system, overflying the area of interest while directing energy toward the area of interest, using the VHF radar system to collect backscatter data from the trees as a function of incidence angle and frequency, and determining a magnitude of the biomass from the backscatter data and data from the laser radar system for each radar resolution cell. A biomass map is generated showing the magnitude of the biomass of the vegetative elements as a function of location on the map by using each resolution cell as a unique location thereon. In certain preferred embodiments, a single frequency is used with a linear array antenna.

  2. Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques

    SciTech Connect (OSTI)

    Melius, J.; Margolis, R.; Ong, S.

    2013-12-01T23:59:59.000Z

    A number of methods have been developed using remote sensing data to estimate rooftop area suitable for the installation of photovoltaics (PV) at various geospatial resolutions. This report reviews the literature and patents on methods for estimating rooftop-area appropriate for PV, including constant-value methods, manual selection methods, and GIS-based methods. This report also presents NREL's proposed method for estimating suitable rooftop area for PV using Light Detection and Ranging (LiDAR) data in conjunction with a GIS model to predict areas with appropriate slope, orientation, and sunlight. NREL's method is validated against solar installation data from New Jersey, Colorado, and California to compare modeled results to actual on-the-ground measurements.

  3. Comparison of POLDER Apparent and Corrected Oxygen Pressure to ARM/MMCR Cloud Boundary Pressures

    SciTech Connect (OSTI)

    Vanbauce, Claudine; Cadet, Bertrand; Marchand, Roger T.

    2003-03-06T23:59:59.000Z

    POLDER (POLarization and Directionality of the Earth’s Reflectances) cloud oxygen pressures are compared to cloud boundary pressures obtained from the combination of Lidar and Millimeter Wave Cloud Radar ground measurements located at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site. Without ground reflection correction, the apparent pressures are found to be closer to the mean cloud pressure than to the cloud top pressure. Nevertheless, for almost a quarter of our comparison cases the apparent pressure level is found to be below the cloud base level. This problem practically disappears applying a simple correction for the surface reflection effect. The corrected oxygen pressures are then found to be very close (12 hPa on average) to the mean cloud pressure.

  4. Towards a full Atmospheric Calibration system for the Cherenkov Telescope Array

    E-Print Network [OSTI]

    Doro, M; Blanch, O; Font, LL; Garrido, D; Lopez-Oramas, A

    2013-01-01T23:59:59.000Z

    The current generation of Cherenkov telescopes is mainly limited in their gamma-ray energy and flux reconstruction by uncertainties in the determination of atmospheric parameters. The Cherenkov Telescope Array (CTA) aims to provide high-precision data extending the duty cycle as much as possible. To reach this goal, it is necessary to continuously and precisely monitor the atmosphere by means of remote-sensing devices, which are able to provide altitude-resolved and wavelength-dependent extinction factors, sensitive up to the tropopause and higher. Raman LIDARs are currently the best suited technology to achieve this goal with one single instrument. However, the synergy with other instruments like radiometers, solar and stellar photometers, all-sky cameras, and possibly radio-sondes is desirable in order to provide more precise and accurate results, and allows for weather forecasts and now-casts. In this contribution, we will discuss the need and features of such multifaceted atmospheric calibration systems.

  5. Atmospheric Radiation Measurement (ARM) Data from the Eastern North Atlantic Site (ENA), Graciosa Island, Azores

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

    Wood, Robert

    From May 2009 through December 2010, the ARM Mobile Facility obtained data from a location near the airport on Graciosa Island to support the Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) field campaign. The campaign was led by principal investigator Robert Wood. Results from this campaign confirmed that the Azores have the ideal mix of conditions to study how clouds, aerosols, and precipitation interact. This new observation site will have significant enhancements to instruments previously deployed to the Azores, including a Ka-/W-band scanning cloud radar, precipitation radar, and Doppler lidar. It has the full support of the Azorean government and collaborators at the University of the Azores. Los Alamos National Laboratory will operate the site for the ARM Facility.

  6. Investment Dimension: Enhanced Data Equals Better Climate Models

    SciTech Connect (OSTI)

    Roeder, Lynne R.

    2010-11-01T23:59:59.000Z

    Through the American Recovery and Reinvestment Act of 2009, the U.S. Department of Energy provided the Atmospheric Radiation Measurement (ARM) Climate Research Facility with $60 million for new and upgraded instrumentation, equipment, and infrastructure to improve atmospheric data sets. These enhancements will take place among the permanent ARM research sites in Oklahoma and Alaska in the United States, and near the equator in the tropical Western Pacific. They will also advance the capabilities of ARM’s mobile and aerial research platforms. This article focuses on key enhancements - particularly new scanning radars, enhanced lidar technologies, aerosol observation systems, and in situ aircraft probes - that will provide unprecedented data sets for the modeling community.

  7. Infrared sensors and sensor fusion; Proceedings of the Meeting, Orlando, FL, May 19-21, 1987

    SciTech Connect (OSTI)

    Buser, R.G.; Warren, F.B.

    1987-01-01T23:59:59.000Z

    The present conference discusses topics in the fields of IR sensor multifunctional design; image modeling, simulation, and detection; IR sensor configurations and components; thermal sensor arrays; silicide-based IR sensors; and IR focal plane array utilization. Attention is given to the fusion of lidar and FLIR for target segmentation and enhancement, the synergetic integration of thermal and visual images for computer vision, the 'Falcon Eye' FLIR system, multifunctional electrooptics and multiaperture sensors for precision-guided munitions, and AI approaches to data integration. Also discussed are the comparative performance of Ir silicide and Pt silicide photodiodes, high fill-factor silicide monolithic arrays, and the characterization of noise in staring IR focal plane arrays.

  8. High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation

    SciTech Connect (OSTI)

    Peterka, Tom; Morozov, Dmitriy; Phillips, Carolyn

    2014-11-14T23:59:59.000Z

    Computing a Voronoi or Delaunay tessellation from a set of points is a core part of the analysis of many simulated and measured datasets: N-body simulations, molecular dynamics codes, and LIDAR point clouds are just a few examples. Such computational geometry methods are common in data analysis and visualization; but as the scale of simulations and observations surpasses billions of particles, the existing serial and shared-memory algorithms no longer suffice. A distributed-memory scalable parallel algorithm is the only feasible approach. The primary contribution of this paper is a new parallel Delaunay and Voronoi tessellation algorithm that automatically determines which neighbor points need to be exchanged among the subdomains of a spatial decomposition. Other contributions include periodic and wall boundary conditions, comparison of our method using two popular serial libraries, and application to numerous science datasets.

  9. Aerosol characterization study using multi-spectrum remote sensing measurement techniques.

    SciTech Connect (OSTI)

    Glen, Crystal Chanea; Sanchez, Andres L.; Lucero, Gabriel Anthony; Schmitt, Randal L.; Johnson, Mark S.; Tezak, Matthew Stephen; Servantes, Brandon Lee

    2013-09-01T23:59:59.000Z

    A unique aerosol flow chamber coupled with a bistatic LIDAR system was implemented to measure the optical scattering cross sections and depolarization ratio of common atmospheric particulates. Each of seven particle types (ammonium sulfate, ammonium nitrate, sodium chloride, potassium chloride, black carbon and Arizona road dust) was aged by three anthropogenically relevant mechanisms: 1. Sulfuric acid deposition, 2. Toluene ozonolysis reactions, and 3. m-Xylene ozonolysis reactions. The results of pure particle scattering properties were compared with their aged equivalents. Results show that as most particles age under industrial plume conditions, their scattering cross sections are similar to pure black carbon, which has significant impacts to our understanding of aerosol impacts on climate. In addition, evidence emerges that suggest chloride-containing aerosols are chemically altered during the organic aging process. Here we present the direct measured scattering cross section and depolarization ratios for pure and aged atmospheric particulates.

  10. Balloon-borne photometric studies of the stratospheric aerosol layer after Mt. Pinatubo eruption

    SciTech Connect (OSTI)

    Ramachandran, S.; Jayaraman, A.; Acharya, Y.B.; Subbaraya, B.H. [Physical Research Laboratory, Ahmedabad (India)

    1994-08-01T23:59:59.000Z

    Using Sun-tracking photometers on board balloons, the Pinatubo volcanic aerosol layer has been studied over Hyderabad (17.5 deg N) during October 1991 and April 1992. From the angular distribution of the scattered radiation intensity measurements the aerosol size parameters is derived. Over a decade of aerosol measurements at Hyderabad, aerosol extinction and number density obtained during October 1991 in the stratosphere are found to be the highest ever obtained with a distinct aerosol layer between 16 and 30 km. The derived aerosol size parameter shows layered structures. Analysis of the size parameter obtained during April 1992 indicates formation of aerosols at higher altitudes by coagulation with a subsequent reduction in the aerosol number density. The obtained results are found to agree well with that of an independent lidar measurement made over Ahmedabad (23 deg N) and with the stratospheric aerosol and gas experiment II (SAGE II) results.

  11. Quantum optical technologies for metrology, sensing and imaging

    E-Print Network [OSTI]

    Jonathan P. Dowling; Kaushik P. Seshadreesan

    2015-02-27T23:59:59.000Z

    Over the past 20 years, bright sources of entangled photons have led to a renaissance in quantum optical interferometry. Optical interferometry has been used to test the foundations of quantum mechanics and implement some of the novel ideas associated with quantum entanglement such as quantum teleportation, quantum cryptography, quantum lithography, quantum computing logic gates, and quantum metrology. In this paper, we focus on the new ways that have been developed to exploit quantum optical entanglement in quantum metrology to beat the shot-noise limit, which can be used, e.g., in fiber optical gyroscopes and in sensors for biological or chemical targets. We also discuss how this entanglement can be used to beat the Rayleigh diffraction limit in imaging systems such as in LIDAR and optical lithography.

  12. Nonperturbative measurement of the local magnetic field using pulsed polarimetry for fusion reactor conditions (invited)

    SciTech Connect (OSTI)

    Smith, Roger J. [University of Washington, Seattle, Washington 98195-2250 (United States)

    2008-10-15T23:59:59.000Z

    A novel diagnostic technique for the remote and nonperturbative sensing of the local magnetic field in reactor relevant plasmas is presented. Pulsed polarimetry [Patent No. 12/150,169 (pending)] combines optical scattering with the Faraday effect. The polarimetric light detection and ranging (LIDAR)-like diagnostic has the potential to be a local B{sub pol} diagnostic on ITER and can achieve spatial resolutions of millimeters on high energy density (HED) plasmas using existing lasers. The pulsed polarimetry method is based on nonlocal measurements and subtle effects are introduced that are not present in either cw polarimetry or Thomson scattering LIDAR. Important features include the capability of simultaneously measuring local T{sub e}, n{sub e}, and B{sub ||} along the line of sight, a resiliency to refractive effects, a short measurement duration providing near instantaneous data in time, and location for real-time feedback and control of magnetohydrodynamic (MHD) instabilities and the realization of a widely applicable internal magnetic field diagnostic for the magnetic fusion energy program. The technique improves for higher n{sub e}B{sub ||} product and higher n{sub e} and is well suited for diagnosing the transient plasmas in the HED program. Larger devices such as ITER and DEMO are also better suited to the technique, allowing longer pulse lengths and thereby relaxing key technology constraints making pulsed polarimetry a valuable asset for next step devices. The pulsed polarimetry technique is clarified by way of illustration on the ITER tokamak and plasmas within the magnetized target fusion program within present technological means.

  13. Lake Michigan Offshore Wind Feasibility Assessment

    SciTech Connect (OSTI)

    Boezaart, Arnold [GVSU; Edmonson, James [GVSU; Standridge, Charles [GVSU; Pervez, Nahid [GVSU; Desai, Neel [University of Michigan; Williams, Bruce [University of Delaware; Clark, Aaron [GVSU; Zeitler, David [GVSU; Kendall, Scott [GVSU; Biddanda, Bopi [GVSU; Steinman, Alan [GVSU; Klatt, Brian [Michigan State University; Gehring, J. L. [Michigan State University; Walter, K. [Michigan State University; Nordman, Erik E. [GVSU

    2014-06-30T23:59:59.000Z

    The purpose of this project was to conduct the first comprehensive offshore wind assessment over Lake Michigan and to advance the body of knowledge needed to support future commercial wind energy development on the Great Lakes. The project involved evaluation and selection of emerging wind measurement technology and the permitting, installation and operation of the first mid-lake wind assessment meteorological (MET) facilities in Michigan’s Great Lakes. In addition, the project provided the first opportunity to deploy and field test floating LIDAR and Laser Wind Sensor (LWS) technology, and important research related equipment key to the sitting and permitting of future offshore wind energy development in accordance with public participation guidelines established by the Michigan Great Lakes Wind Council (GLOW). The project created opportunities for public dialogue and community education about offshore wind resource management and continued the dialogue to foster Great Lake wind resource utilization consistent with the focus of the GLOW Council. The technology proved to be effective, affordable, mobile, and the methods of data measurement accurate. The public benefited from a substantial increase in knowledge of the wind resources over Lake Michigan and gained insights about the potential environmental impacts of offshore wind turbine placements in the future. The unique first ever hub height wind resource assessment using LWS technology over water and development of related research data along with the permitting, sitting, and deployment of the WindSentinel MET buoy has captured public attention and has helped to increase awareness of the potential of future offshore wind energy development on the Great Lakes. Specifically, this project supported the acquisition and operation of a WindSentinel (WS) MET wind assessment buoy, and associated research for 549 days over multiple years at three locations on Lake Michigan. Four research objectives were defined for the project including to: 1) test and validate floating LIDAR technology; 2) collect and access offshore wind data; 3) detect and measure bird and bat activity over Lake Michigan; 4) conduct an over water sound propagation study; 5) prepare and offer a college course on offshore energy, and; 6) collect other environmental, bathometric, and atmospheric data. Desk-top research was performed to select anchorage sites and to secure permits to deploy the buoy. The project also collected and analyzed data essential to wind industry investment decision-making including: deploying highly mobile floating equipment to gather offshore wind data; correlating offshore wind data with conventional on-shore MET tower data; and performing studies that can contribute to the advancement and deployment of offshore wind technologies. Related activities included: • Siting, permitting, and deploying an offshore floating MET facility; • Validating the accuracy of floating LWS using near shoreline cup anemometer MET instruments; • Assessment of laser pulse technology (LIDAR) capability to establish hub height measurement of wind conditions at multiple locations on Lake Michigan; • Utilizing an extended-season (9-10 month) strategy to collect hub height wind data and weather conditions on Lake Michigan; • Investigation of technology best suited for wireless data transmission from distant offshore structures; • Conducting field-validated sound propagation study for a hypothetical offshore wind farm from shoreline locations; • Identifying the presence or absence of bird and bat species near wind assessment facilities; • Identifying the presence or absence of benthic and pelagic species near wind assessment facilities; All proposed project activities were completed with the following major findings: • Floating Laser Wind Sensors are capable of high quality measurement and recordings of wind resources. The WindSentinel presented no significant operational or statistical limitations in recording wind data technology at a at a high confidence level as compared to traditional an

  14. Ice Formation in Arctic Mixed-Phase Clouds: Insights from a 3-D Cloud-Resolving Model with Size-Resolved Aerosol and Cloud Microphysics

    SciTech Connect (OSTI)

    Fan, Jiwen; Ovtchinnikov, Mikhail; Comstock, Jennifer M.; McFarlane, Sally A.; Khain, Alexander

    2009-02-27T23:59:59.000Z

    The single-layer mixed-phase clouds observed during the Atmospheric Radiation Measurement (ARM) program’s Mixed-Phase Arctic Cloud Experiment (MPACE) are simulated with a 3-dimensional cloud-resolving model the System for Atmospheric Modeling (SAM) coupled with an explicit bin microphysics scheme and a radar-lidar simulator. Two possible ice enhancement mechanisms – activation of droplet evaporation residues by condensation-followed-by-freezing and droplet freezing by contact freezing inside-out, are scrutinized by extensive comparisons with aircraft and radar and lidar measurements. The locations of ice initiation associated with each mechanism and the role of ice nuclei (IN) in the evolution of mixed-phase clouds are mainly addressed. Simulations with either mechanism agree well with the in-situ and remote sensing measurements on ice microphysical properties but liquid water content is slightly underpredicted. These two mechanisms give very similar cloud microphysical, macrophysical, dynamical, and radiative properties, although the ice nucleation properties (rate, frequency and location) are completely different. Ice nucleation from activation of evaporation nuclei is most efficient near cloud top areas concentrated on the edges of updrafts, while ice initiation from the drop freezing process has no significant location preference (occurs anywhere that droplet evaporation is significant). Both enhanced nucleation mechanisms contribute dramatically to ice formation with ice particle concentration of 10-15 times higher relative to the simulation without either of them. The contribution of ice nuclei (IN) recycling from ice particle evaporation to IN and ice particle concentration is found to be very significant in this case. Cloud can be very sensitive to IN initially and form a nonquilibrium transition condition, but become much less sensitive as cloud evolves to a steady mixed-phase condition. The parameterization of Meyers et al. [1992] with the observed MPACE IN concentration is able to predict the observed mixed-phase clouds reasonably well. This validation may facilitate the application of this parameterization in the cloud and climate models to simulate Arctic clouds.

  15. Environmental monitoring: civilian applications of remote sensing

    SciTech Connect (OSTI)

    Bolton, W.; Lapp, M.; Vitko, J. Jr. [Sandia National Labs., Livermore, CA (United States); Phipps, G. [Sandia National Labs., Albuquerque, NM (United States)

    1996-11-01T23:59:59.000Z

    This report documents the results of a Laboratory Directed Research and Development (LDRD) program to explore how best to utilize Sandia`s defense-related sensing expertise to meet the Department of Energy`s (DOE) ever-growing needs for environmental monitoring. In particular, we focused on two pressing DOE environmental needs: (1) reducing the uncertainties in global warming predictions, and (2) characterizing atmospheric effluents from a variety of sources. During the course of the study we formulated a concept for using unmanned aerospace vehicles (UAVs) for making key 0798 climate measurements; designed a highly accurate, compact, cloud radiometer to be flown on those UAVs; and established the feasibility of differential absorption Lidar (DIAL) to measure atmospheric effluents from waste sites, manufacturing processes, and potential treaty violations. These concepts have had major impact since first being formulated in this ,study. The DOE has adopted, and DoD`s Strategic Environmental Research Program has funded, much of the UAV work. And the ultraviolet DIAL techniques have already fed into a major DOE non- proliferation program.

  16. Modeling and Analysis of Solar Radiation Potentials on Building Rooftops

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL

    2012-01-01T23:59:59.000Z

    The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.

  17. The Atmospheric Monitoring System of the JEM-EUSO Space Mission

    E-Print Network [OSTI]

    Frias, M D Rodriguez; Bozzo, E; del Peral, L; Neronov, A; Wada, S

    2015-01-01T23:59:59.000Z

    An Atmospheric Monitoring System (AMS) is a mandatory and key device of a space-based mission which aims to detect Ultra-High Energy Cosmic Rays (UHECR) and Extremely-High Energy Cosmic Rays (EHECR) from Space. JEM-EUSO has a dedicated atmospheric monitoring system that plays a fundamental role in our understanding of the atmospheric conditions in the Field of View (FoV) of the telescope. Our AMS consists of a very challenging space infrared camera and a LIDAR device, that are being fully designed with space qualification to fulfil the scientific requirements of this space mission. The AMS will provide information of the cloud cover in the FoV of JEM-EUSO, as well as measurements of the cloud top altitudes with an accuracy of 500 m and the optical depth profile of the atmosphere transmittance in the direction of each air shower with an accuracy of 0.15 degree and a resolution of 500 m. This will ensure that the energy of the primary UHECR and the depth of maximum development of the EAS ( Extensive Air Shower)...

  18. The Two-Column Aerosol Project (TCAP) Science Plan

    SciTech Connect (OSTI)

    Berkowitz, CM; Berg, LK; Cziczo, DJ; Flynn, CJ; Kassianov, EI; Fast, JD; Rasch, PJ; Shilling, JE; Zaveri, RA; Zelenyuk, A; Ferrare, RA; Hostetler, CA; Cairns, B; Russell, PB; Ervens, B

    2011-07-27T23:59:59.000Z

    The Two-Column Aerosol Project (TCAP) field campaign will provide a detailed set of observations with which to (1) perform radiative and cloud condensation nuclei (CCN) closure studies, (2) evaluate a new retrieval algorithm for aerosol optical depth (AOD) in the presence of clouds using passive remote sensing, (3) extend a previously developed technique to investigate aerosol indirect effects, and (4) evaluate the performance of a detailed regional-scale model and a more parameterized global-scale model in simulating particle activation and AOD associated with the aging of anthropogenic aerosols. To meet these science objectives, the Atmospheric Radiation Measurement (ARM) Climate Research Facility will deploy the ARM Mobile Facility (AMF) and the Mobile Aerosol Observing System (MAOS) on Cape Cod, Massachusetts, for a 12-month period starting in the summer of 2012 in order to quantify aerosol properties, radiation, and cloud characteristics at a location subject to both clear and cloudy conditions, and clean and polluted conditions. These observations will be supplemented by two aircraft intensive observation periods (IOPs), one in the summer and a second in the winter. Each IOP will deploy one, and possibly two, aircraft depending on available resources. The first aircraft will be equipped with a suite of in situ instrumentation to provide measurements of aerosol optical properties, particle composition and direct-beam irradiance. The second aircraft will fly directly over the first and use a multi-wavelength high spectral resolution lidar (HSRL) and scanning polarimeter to provide continuous optical and cloud properties in the column below.

  19. Estimating solar access of typical residential rooftops: A case study in San Jose, CA

    SciTech Connect (OSTI)

    Levinson, Ronnen M.; Gupta, Smita; Akbari, Hashem; Pomerantz, Melvin

    2008-03-03T23:59:59.000Z

    Shadows cast by trees and buildings can limit the solar access of rooftop solar-energy systems, including photovoltaic panels and thermal collectors. This study characterizes rooftop shading in a residential neighborhood of San Jose, CA, one of four regions analyzed in a wider study of the solar access of California homes.High-resolution orthophotos and LiDAR (Light Detection And Ranging) measurements of surface height were used to create a digital elevation model of all trees and buildings in a 4 km2 residential neighborhood. Hourly shading of roofing planes (the flat elements of roofs) was computed geometrically from the digital elevation model. Parcel boundaries were used to determine the extent to which roofing planes were shaded by trees and buildings in neighboring parcels.In the year in which surface heights were measured (2005), shadows from all sources ("total shading") reduced the insolation received by S-, SW-, and W-facing residential roofing planes in the study area by 13 - 16percent. Shadows cast by trees and buildings in neighboring parcels reduced insolation by no more than 2percent. After 30 years of simulated maximal tree growth, annual total shading increased to 19 - 22percent, and annual extraparcel shading increased to 3 - 4percent.

  20. High opacity white plumes from coal-fired and oil-fired sources

    SciTech Connect (OSTI)

    Lee, K.T. (National Cheng Kung Univ. (TW))

    1988-01-01T23:59:59.000Z

    In recent years, with the installation of high efficiency particulate emission control devices on utility and industrial boilers, high-opacity white plumes have become more of a problem because formerly the emissions of primary particulate matter obscured and/or served as a condensing surface for the condensable material. The problem common to some of these installations is the violation of opacity standards due to the presence of a high-opacity persistent plume that emits from the stack. Oil fired boilers violating opacity standards typically comply with mass emission standards while coal fired boilers typically violate visual emission standards when simultaneously violating mass emission standards. The investigation reported here focuses on the atypical case when in-situ transmissometer measurements show compliance but plume opacity as measured by Reference Method 9 or LIDAR exceeds opacity standards. This case comes about due to gas phase reactions that produce fine aerosols, vapor phase condensation and physical agglomeration of sub-micron sized clusters and particles. The plume opacity control technology applicable to these aerosols which are created and/or grown in white plume is discussed in this paper.

  1. Remote sensing-based characterization of plant functional type distributions at the Barrow Environmental Observatory

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

    Kumar, Jitendra; Hoffman, Forrest M.

    Arctic ecosystems have been observed to be warming faster than the global average and are predicted to experience accelerated changes in climate due to global warming. Arctic vegetation is particularly sensitive to warming conditions and likely to exhibit shifts in species composition, phenology and productivity under changing climate. Mapping and monitoring of changes in vegetation is essential to understand the effect of climate change on the ecosystem functions. Vegetation exhibits unique spectral characteristics which can be harnessed to discriminate plant types and develop quantitative vegetation indices. We have combined high resolution multi-spectral remote sensing from the WorldView 2 satellite with LIDAR-derived digital elevation models to characterize the tundra landscape on the North Slope of Alaska. Classification of landscape using spectral and topographic characteristics yields spatial regions with expectedly similar vegetation characteristics. A field campaign was conducted during peak growing season to collect vegetation harvests from a number of 1m x 1m plots in the study region, which were then analyzed for distribution of vegetation types in the plots. Statistical relationships were developed between spectral and topographic characteristics and vegetation type distributions at the vegetation plots. These derived relationships were employed to statistically upscale the vegetation distributions for the landscape based on spectral characteristics. Vegetation distributions developed are being used to provide Plant Functional Type (PFT) maps for use in the Community Land Model (CLM).

  2. Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010

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

    Zachary Langford; Forrest Hoffman; Jitendra Kumar

    Arctic ecosystems have been observed to be warming faster than the global average and are predicted to experience accelerated changes in climate due to global warming. Arctic vegetation is particularly sensitive to warming conditions and likely to exhibit shifts in species composition, phenology and productivity under changing climate. Mapping and monitoring of changes in vegetation is essential to understand the effect of climate change on the ecosystem functions. Vegetation exhibits unique spectral characteristics which can be harnessed to discriminate plant types and develop quantitative vegetation indices. We have combined high resolution multi-spectral remote sensing from the WorldView 2 satellite with LIDAR-derived digital elevation models to characterize the tundra landscape on the North Slope of Alaska. Classification of landscape using spectral and topographic characteristics yields spatial regions with expectedly similar vegetation characteristics. A field campaign was conducted during peak growing season to collect vegetation harvests from a number of 1m x 1m plots in the study region, which were then analyzed for distribution of vegetation types in the plots. Statistical relationships were developed between spectral and topographic characteristics and vegetation type distributions at the vegetation plots. These derived relationships were employed to statistically upscale the vegetation distributions for the landscape based on spectral characteristics. Vegetation distributions developed are being used to provide Plant Functional Type (PFT) maps for use in the Community Land Model (CLM).

  3. Apparatus and method for heterodyne-generated two-dimensional detector array using a single element detector

    DOE Patents [OSTI]

    Strauss, Charlie E. (Santa Fe, NM)

    1997-01-01T23:59:59.000Z

    Apparatus and method for heterodyne-generated, two-dimensional detector array using a single detector. Synthetic-array heterodyne detection, permits a single-element optical detector to behave as though it were divided into an array of separate heterodyne detector elements. A fifteen-element synthetic array has successfully been experimentally realized on a single-element detector, permitting all of the array elements to be read out continuously and in parallel from one electrical connection. A CO.sub.2 laser and a single-element HgCdTe photodiode are employed. A different heterodyne local oscillator frequency is incident upon the spatially resolvable regions of the detector surface. Thus, different regions are mapped to different heterodyne beat frequencies. One can determine where the photons were incident on the detector surface even though a single electrical connection to the detector is used. This also prevents the destructive interference that occurs when multiple speckles are imaged (similar to spatial diversity), In coherent LIDAR this permits a larger field of view. An acoustooptic modulator generates the local oscillator frequencies and can achieve adequate spatial separation of optical frequencies of the order of a megahertz apart.

  4. Apparatus and method for heterodyne-generated two-dimensional detector array using a single element detector

    DOE Patents [OSTI]

    Strauss, C.E.

    1997-11-18T23:59:59.000Z

    Apparatus and method are disclosed for heterodyne-generated, two-dimensional detector array using a single detector. Synthetic-array heterodyne detection, permits a single-element optical detector to behave as though it were divided into an array of separate heterodyne detector elements. A fifteen-element synthetic array has successfully been experimentally realized on a single-element detector, permitting all of the array elements to be read out continuously and in parallel from one electrical connection. A CO{sub 2} laser and a single-element HgCdTe photodiode are employed. A different heterodyne local oscillator frequency is incident upon the spatially resolvable regions of the detector surface. Thus, different regions are mapped to different heterodyne beat frequencies. One can determine where the photons were incident on the detector surface even though a single electrical connection to the detector is used. This also prevents the destructive interference that occurs when multiple speckles are imaged (similar to spatial diversity), In coherent LIDAR this permits a larger field of view. An acoustooptic modulator generates the local oscillator frequencies and can achieve adequate spatial separation of optical frequencies of the order of a megahertz apart. 4 figs.

  5. Large Scale Ice Water Path and 3-D Ice Water Content

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

    Liu, Guosheng

    Cloud ice water concentration is one of the most important, yet poorly observed, cloud properties. Developing physical parameterizations used in general circulation models through single-column modeling is one of the key foci of the ARM program. In addition to the vertical profiles of temperature, water vapor and condensed water at the model grids, large-scale horizontal advective tendencies of these variables are also required as forcing terms in the single-column models. Observed horizontal advection of condensed water has not been available because the radar/lidar/radiometer observations at the ARM site are single-point measurement, therefore, do not provide horizontal distribution of condensed water. The intention of this product is to provide large-scale distribution of cloud ice water by merging available surface and satellite measurements. The satellite cloud ice water algorithm uses ARM ground-based measurements as baseline, produces datasets for 3-D cloud ice water distributions in a 10 deg x 10 deg area near ARM site. The approach of the study is to expand a (surface) point measurement to an (satellite) areal measurement. That is, this study takes the advantage of the high quality cloud measurements at the point of ARM site. We use the cloud characteristics derived from the point measurement to guide/constrain satellite retrieval, then use the satellite algorithm to derive the cloud ice water distributions within an area, i.e., 10 deg x 10 deg centered at ARM site.

  6. Atmospheric Emitted Radiance Interferometer (AERI) Archived Data at the University of Wisconsin Space Science and Engineering Center (SSEC)

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

    The AERI instrument is an advanced version of the high spectral resolution interferometer sounder (HIS) designed and fabricated at the University of Wisconsin (Revercomb et al. 1988) to measure upwelling infrared radiances from an aircraft. The AERI is a fully automated ground-based passive infrared interferometer that measures downwelling atmospheric radiance from 3.3 - 18.2 mm (550 - 3000 cm-1) at less than 10-minute temporal resolution with a spectral resolution of one wavenumber. It has been used in DOEĆs Atmospheric Radiation Measurement (ARM) program. Much of the data available here at the Cooperative Institute for Meteorological Satellite Studies (CIMSS), an institute within the University of Wisconsin’s Space Science and Engineering Center, may also be available in the ARM Archive. On this website, data and images from six different field experiments are available, along with AERIPLUS realtime data for the Madison, Wisconsin location. Realtime data includes temperature and water vapor time-height cross sections, SKEWT diagrams, convective stability indices, and displays from a rooftop Lidar instrument. The field experiments took place in Oaklahoma and Wisconsin with the AERI prototype.

  7. Hyperspectral Aerosol Optical Depths from TCAP Flights

    SciTech Connect (OSTI)

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

    2013-11-13T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Zaveri, RA; Shaw, WJ; Cziczo, DJ

    2010-07-12T23:59:59.000Z

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

  9. Influence of sky radiance measurement errors on inversion-retrieved aerosol properties

    SciTech Connect (OSTI)

    Torres, B.; Toledano, C.; Cachorro, V. E.; Bennouna, Y. S.; Fuertes, D.; Gonzalez, R.; Frutos, A. M. de [Atmospheric Optics Group (GOA), University of Valladolid, Valladolid (Spain); Berjon, A. J. [Izana Atmospheric Research Center, Meteorological State Agency of Spain (AEMET), Sta. Cruz de Tenerife (Spain); Dubovik, O.; Goloub, P.; Podvin, T.; Blarel, L. [Laboratory of Atmospheric Optics, Universite Lille 1, Villeneuve d'Ascq (France)

    2013-05-10T23:59:59.000Z

    Remote sensing of the atmospheric aerosol is a well-established technique that is currently used for routine monitoring of this atmospheric component, both from ground-based and satellite. The AERONET program, initiated in the 90's, is the most extended network and the data provided are currently used by a wide community of users for aerosol characterization, satellite and model validation and synergetic use with other instrumentation (lidar, in-situ, etc.). Aerosol properties are derived within the network from measurements made by ground-based Sun-sky scanning radiometers. Sky radiances are acquired in two geometries: almucantar and principal plane. Discrepancies in the products obtained following both geometries have been observed and the main aim of this work is to determine if they could be justified by measurement errors. Three systematic errors have been analyzed in order to quantify the effects on the inversion-derived aerosol properties: calibration, pointing accuracy and finite field of view. Simulations have shown that typical uncertainty in the analyzed quantities (5% in calibration, 0.2 Degree-Sign in pointing and 1.2 Degree-Sign field of view) yields to errors in the retrieved parameters that vary depending on the aerosol type and geometry. While calibration and pointing errors have relevant impact on the products, the finite field of view does not produce notable differences.

  10. Multiangle Observations of Arctic Clouds from FIRE ACE: June 3, 1998 Case Study

    SciTech Connect (OSTI)

    Marchand, Roger T.; Ackerman, Thomas P.; King, M. D.; Moroney, C.; Davies, R.; Muller, J.-P. A. L.; Gerber, H.

    2001-07-27T23:59:59.000Z

    In May and June 1998 the Airborne Multiangle Imaging Spectroradiometer (AirMISR) participated in the FIRE Arctic Cloud Experiment (ACE). AirMISR is an airborne instrument for obtaining multiangle imagery similar to that of the satellite-borne MISR instrument. This paper presents a detailed analysis of the data collected on June 3, 1998. In particular, AirMISR radiance measurements are compared with measurements made by two other instruments, the Cloud Absorption Radiometer (CAR) and the MODIS airborne simulator (MAS), as well as to plane-parallel radiative transfer simulations. It is found that the AirMISR radiance measurements and albedo estimates compare favorably both with the other instruments and with the radiative transfer simulations. In addition to radiance and albedo, the multiangle AirMISR data can be used to obtain estimates of cloud top height using stereoimaging techniques. Comparison of AirMISR retrieved cloud top height (using the complete MISR-based stereoimaging approach) shows excellent agreement with the measurements from the airborne Cloud Lidar System (CLS) and ground-based millimeter-wave cloud radar.

  11. Long-term Observations of the Convective Boundary Layer Using Insect Radar Returns at the SGP ARM Climate Research Facility

    SciTech Connect (OSTI)

    Chandra, A S; Kollias, P; Giangrande, S E; Klein, S A

    2009-08-20T23:59:59.000Z

    A long-term study of the turbulent structure of the convective boundary layer (CBL) at the U.S. Department of Energy Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP) Climate Research Facility is presented. Doppler velocity measurements from insects occupying the lowest 2 km of the boundary layer during summer months are used to map the vertical velocity component in the CBL. The observations cover four summer periods (2004-08) and are classified into cloudy and clear boundary layer conditions. Profiles of vertical velocity variance, skewness, and mass flux are estimated to study the daytime evolution of the convective boundary layer during these conditions. A conditional sampling method is applied to the original Doppler velocity dataset to extract coherent vertical velocity structures and to examine plume dimension and contribution to the turbulent transport. Overall, the derived turbulent statistics are consistent with previous aircraft and lidar observations. The observations provide unique insight into the daytime evolution of the convective boundary layer and the role of increased cloudiness in the turbulent budget of the subcloud layer. Coherent structures (plumes-thermals) are found to be responsible for more than 80% of the total turbulent transport resolved by the cloud radar system. The extended dataset is suitable for evaluating boundary layer parameterizations and testing large-eddy simulations (LESs) for a variety of surface and cloud conditions.

  12. Using Surface Remote Sensors to Derive Radiative Characteristics of Mixed-Phase Clouds: An Example from M-PACE

    SciTech Connect (OSTI)

    de Boer, Gijs; Collins, William D.; Menon, Surabi; Long, Charles N.

    2011-12-02T23:59:59.000Z

    Measurements from ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction with a column version of the Rapid Radiative Transfer Model (RRTMG) and radiosonde measurements to derive the surface radiative properties under mixed-phase cloud conditions. These clouds were observed during the United States Department of Energy (US DOE) Atmospheric Radiation Measurement (ARM) Mixed-Phase Arctic Clouds Experiment (M-PACE) between September and November of 2004. In total, sixteen half hour time periods are reviewed due to their coincidence with radiosonde launches. Cloud liquid (ice) water paths are found to range between 11.0-366.4 (0.5-114.1) gm-2, and cloud physical thicknesses fall between 286-2075 m. Combined with temperature and hydrometeor size estimates, this information is used to calculate surface radiative flux densities using RRTMG, which are demonstrated to generally agree with measured flux densities from surface-based radiometric instrumentation. Errors in longwave flux density estimates are found to be largest for thin clouds, while shortwave flux density errors are generally largest for thicker clouds. A sensitivity study is performed to understand the impact of retrieval assumptions and uncertainties on derived surface radiation estimates. Cloud radiative forcing is calculated for all profiles, illustrating longwave dominance during this time of year, with net cloud forcing generally between 50 and 90 Wm-2.

  13. Measurements of the operating characteristics of a 1064 nm pumped KTP RISTRA OPO.

    SciTech Connect (OSTI)

    Gimmestad, Gary (Georgia Tech Research Institute, Atlanta, GA); Armstrong, Darrell Jewell; Wood, Jack (Georgia Tech Research Institute, Atlanta, GA); Roberts, David (Georgia Tech Research Institute, Atlanta, GA)

    2009-07-01T23:59:59.000Z

    Measurements of the operating characteristics of a 1064 nm pumped potassium titanyl phosphte (KTP) optical parametric oscillator (OPO) were carried out at the Electro Optics Systems Laboratory of Georgia Tech Research Institute (GTRI). The OPO was developed by Sandia National Laboratories and employs a nonplanar image-rotating geometry that is known by the acronym RISTRA, denoting Rotated Image Singly-Resonant Twisted RectAngle. The OPO was configured for pumping by the 1064 nm fundamental wavelength of a Q-switched Nd:YAG laser to generate a signal wavelength at 1627 nm and idler wavelength at 3074.8 nm. GTRI will be incorporate the OPO into a multi-wavelength lidar platform called the Integrated Atmospheric Characterization System (IACS). Prior to completion of the system design for the IACS platform, personnel at GTRI carried out a series of risk reduction experiments to measure the operating characteristics of the OPO. Sandia's role in this effort included technical assistance with numerical modeling of OPO performance, selection of nonlinear optical crystals, specification of cavity-mirror dielectric coatings, selection of vendors for optical components, and advice concerning integration of the RISTRA OPO into the IACS platform. This report describes results of the risk reduction measurements and it also provides some background information on the operating characteristics of RISTRA OPO's but is not intended to be a tutorial. A working knowledge of pulsed solid-state lasers, laser cavity modes, laser beam quality and beam propagation, and three-wave mixing in nonlinear crystals, is useful.

  14. Planetary Boundary Layer from AERI and MPL

    SciTech Connect (OSTI)

    Sawyer, Virginia

    2014-02-13T23:59:59.000Z

    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.

  15. Use of the ARM Measurement of Spectral Zenith Radiance For Better Understanding Of 3D Cloud-Radiation Processes and Aerosol-Cloud Interaction

    SciTech Connect (OSTI)

    D. Jui-Yuan Chiu

    2010-10-19T23:59:59.000Z

    Our proposal focuses on cloud-radiation processes in a general 3D cloud situation, with particular emphasis on cloud optical depth and effective particle size. We also focus on zenith radiance measurements, both active and passive. The proposal has three main parts. Part One exploits the Ă?¢Ă?Â?Ă?Â?solar-backgroundĂ?¢Ă?Â?Ă? mode of ARM lidars to allow them to retrieve cloud optical depth not just for thin clouds but for all clouds. This also enables the study of aerosol cloud interactions with a single instrument. Part Two exploits the large number of new wavelengths offered by ARMĂ?¢Ă?Â?Ă?Â?s zenith-pointing ShortWave Spectrometer (SWS), especially during CLASIC, to develop better retrievals not only of cloud optical depth but also of cloud particle size. We also propose to take advantage of the SWSĂ?¢Ă?Â?Ă?Â? 1 Hz sampling to study the Ă?¢Ă?Â?Ă?Â?twilight zoneĂ?¢Ă?Â?Ă? around clouds where strong aerosol-cloud interactions are taking place. Part Three involves continuing our cloud optical depth and cloud fraction retrieval research with ARMĂ?¢Ă?Â?Ă?Â?s 2NFOV instrument by, first, analyzing its data from the AMF-COPS/CLOWD deployment, and second, making our algorithms part of ARMĂ?¢Ă?Â?Ă?Â?s operational data processing.

  16. Planetary Boundary Layer from AERI and MPL

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

    Sawyer, Virginia

    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. Idaho field experiment 1981. Volume 2: measurement data

    SciTech Connect (OSTI)

    Start, G E; Sagendorf, J F; Ackermann, G R; Cate, J H; Hukari, N F; Dickson, C R

    1984-04-01T23:59:59.000Z

    The 1981 Idaho Field Experiment was conducted in southeastern Idaho over the upper Snake River Plain. Nine test-day case studies were conducted between July 15 and 30, 1981. Releases of SF/sub 6/ gaseous tracer were made for 8-hour periods from 46m above ground. Tracer was sampled hourly, for 12 sequential hours, at about 100 locations within an area 24km square. Also, a single total integrated sample of about 30 hours duration was collected at approximately 100 sites within an area 48 by 72km square (using 6km spacings). Extensive tower profiles of meteorology at the release point were collected. RAWINSONDES, RABALS and PIBALS were collected at 3 to 5 sites. Horizontal, low-altitude winds were monitored using the INEL MESONET. SF/sub 6/ tracer plume releases were marked with co-located oil fog releases and bi-hourly sequential launches of tetroon pairs. Aerial LIDAR observations of the oil fog plume and airborne samples of SF/sub 6/ were collected. High altitude aerial photographs of daytime plumes were collected. Volume II lists the data in tabular form or cites the special supplemental reports by other participating contractors. While the primary user file and the data archive are maintained on 9 track/1600 cpi magnetic tapes, listings of the individual values are provided for the user who either cannot utilize the tapes or wishes to preview the data. The accuracies and quality of these data are described.

  18. Final technical Report DE-FG02-06ER65187

    SciTech Connect (OSTI)

    Edwin Eloranta

    2009-07-17T23:59:59.000Z

    Simulations from the University of Wisconsin Non-Hydrostatic Modeling System (UW-NMS) along with those from other models indicate a strong tendency to overproduce ice, resulting in a decimation of the liquid portion of mixed-phase stratus through the Bergeron-Findeissen process. Immersion freezing was illustrated to be a major contributor to ice production within these cloud layers, and aerosol properties were illustrated to be an important consideration in the simulation of this process. In particular, the soluble mass fraction and aerosol insoluble mass type were demonstrated to influence simulation of the immersion freezing process, Data collected by the Arctic High Spectral Resolution Lidar and Millimeter Cloud Radar during the M-PACE period was analyzed in order to provide a statistical dataset for validation of simulations of mixed-phase stratus. 270 hours of single-layer cases were reviewed, and mean values for cloud base height, cloud thickness, cloud optical thickness, cloud temperature, wind direction, and liquid and ice particle size, particle number density, and water content were derived.

  19. Microphysical and Dynamical Influences on Cirrus Cloud Optical Depth Distributions

    SciTech Connect (OSTI)

    Kay, J.; Baker, M.; Hegg, D.

    2005-03-18T23:59:59.000Z

    Cirrus cloud inhomogeneity occurs at scales greater than the cirrus radiative smoothing scale ({approx}100 m), but less than typical global climate model (GCM) resolutions ({approx}300 km). Therefore, calculating cirrus radiative impacts in GCMs requires an optical depth distribution parameterization. Radiative transfer calculations are sensitive to optical depth distribution assumptions (Fu et al. 2000; Carlin et al. 2002). Using raman lidar observations, we quantify cirrus timescales and optical depth distributions at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site in Lamont, OK (USA). We demonstrate the sensitivity of outgoing longwave radiation (OLR) calculations to assumed optical depth distributions and to the temporal resolution of optical depth measurements. Recent work has highlighted the importance of dynamics and nucleation for cirrus evolution (Haag and Karcher 2004; Karcher and Strom 2003). We need to understand the main controls on cirrus optical depth distributions to incorporate cirrus variability into model radiative transfer calculations. With an explicit ice microphysics parcel model, we aim to understand the influence of ice nucleation mechanism and imposed dynamics on cirrus optical depth distributions.

  20. Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010

    SciTech Connect (OSTI)

    Zachary Langford; Forrest Hoffman; Jitendra Kumar

    2014-01-01T23:59:59.000Z

    Arctic ecosystems have been observed to be warming faster than the global average and are predicted to experience accelerated changes in climate due to global warming. Arctic vegetation is particularly sensitive to warming conditions and likely to exhibit shifts in species composition, phenology and productivity under changing climate. Mapping and monitoring of changes in vegetation is essential to understand the effect of climate change on the ecosystem functions. Vegetation exhibits unique spectral characteristics which can be harnessed to discriminate plant types and develop quantitative vegetation indices. We have combined high resolution multi-spectral remote sensing from the WorldView 2 satellite with LIDAR-derived digital elevation models to characterize the tundra landscape on the North Slope of Alaska. Classification of landscape using spectral and topographic characteristics yields spatial regions with expectedly similar vegetation characteristics. A field campaign was conducted during peak growing season to collect vegetation harvests from a number of 1m x 1m plots in the study region, which were then analyzed for distribution of vegetation types in the plots. Statistical relationships were developed between spectral and topographic characteristics and vegetation type distributions at the vegetation plots. These derived relationships were employed to statistically upscale the vegetation distributions for the landscape based on spectral characteristics. Vegetation distributions developed are being used to provide Plant Functional Type (PFT) maps for use in the Community Land Model (CLM).