2024-03-29T04:53:12Zhttp://nsidc.org/api/dataset/metadata/oaioai:nsidc.org/GLA092024-01-25T13:16:48Zecsretirednasa_nsidc_daac
GLA09GLAS/ICESat L2 Global Cloud Heights for Multi-layer CloudsZwally, H. J., R. Schutz, W. Hart, D. Hlavka, S. P. Palm, J. Spinhirne, and E. Welton.GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds2011-08-11Boulder, Colorado USANASA NSIDC DAAC: NASA National Snow and Ice Data Center Distributed Active Archive Center33false10.5067/ICESAT/GLAS/DATA222https://doi.org/10.5067/ICESAT/GLAS/DATA222GLA09Technical ContactNSIDCUser Servicesnsidc@nsidc.org1-303-492-61991-303-492-2468CIRES, 449 UCBUniversity of ColoradoBoulderCO80309-0449USAInvestigatorH.JayZwallyJay.Zwally@nasa.gov1-301-614-56431-301-614-5644Laboratory for Hydrospheric ProcessesNASA/Goddard Space Flight CenterCode 971GreenbeltMD20771USAInvestigatorRobertSchutzGLAS Science Team LeadUniversity of Texas at AustinCenter for Space ResearchAustinTX78712-1085USAInvestigatorSteveP.PalmScience Systems and Applications, Inc.LanhamMDInvestigatorWilliamHartScience Systems and Applications, Inc.LanhamMDInvestigatorDennisHlavkaScience Systems and Applications, Inc.LanhamMDInvestigatorJamesSpinhirneNASA/Goddard Space Flight CenterGreenbeltMD20771InvestigatorEllsworthWeltonNASA/Goddard Space Flight CenterGreenbeltMDEARTH SCIENCEAtmosphereCloudsCloud Height CLOUD HEIGHTEARTH SCIENCEAtmosphereCloudsCloud Vertical Distribution CLOUD VERTICAL DISTRIBUTIONElevationAttenuated Backscatter Cross-sectionBackscatterCloud HeightCloud LayerCloudsDAACEOSDISGLA09GLASGlobal Positioning SystemGPSICESatISIPSLaser Return EnergyLidarLidar BackscatterLidar Return SignalNASANSIDCOrbit NumberPrecision Attitude DeterminationPrecision Orbit DeterminationRangeALTIMETERSGLASGeoscience Laser Altimeter SystemICESATIce, Cloud, and land Elevation Satellite2003-02-202009-10-11complete-8686-180180Geographic RegionGlobal60 m to 70 m60 m to 70 m76.8 m1288 minuteICESATIce, Cloud and Land Elevation SatelliteBrowse products in PNG graphic format contain quality information; these are available along with corresponding data granules in the Data Pool or EOS Data Gateway.EnglishNASA/GSFC/EOS/EONASA NSIDC DAACNASA National Snow and Ice Data Center Distributed Active Archive Centerhttps://nsidc.org/daacData Center ContactNSIDCUser Servicesnsidc@nsidc.org1-303-492-6199National Snow and Ice Data CenterCIRES, 449 UCBUniversity of ColoradoBoulderCO80309-0449USAFTP82 MBBinaryBae, S. and B.E. Schutz. 2002. Precision attitude determination (PAD). GLAS algorithm theoretical basis document. Version 2.2. Austin, TX: Center for Space Research, University of Texas at Austin.
Center for Space Research. 'ICESat/GLAS.' January 2002. http://www.csr.utexas.edu/glas/.
Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS)
Systems and Operations Concept. Greenbelt, MD: Goddard Space Flight Center.
GLAS Science Team. 2000. Mission Operations Requirement Document (MORD) for the
Ice, Cloud and Land Elevation Satellite (ICESat) Mission. Greenbelt, MD: Goddard
Space Flight Center.
GLAS Science Team. 1997. GLAS Science Requirements. Version 2.01. Greenbelt, MD:
Goddard Space Flight Center.
Guzzi, R., ed. 2003. Exploring the atmosphere by remote sensing techniques. Heidelberg, Germany: Springer-Verlag.
Heroux, D. 2000. Progress report on GLAS interface effort with ECS NOSE. Rev. 29
December 2000. Landover, MD: Emergent-IT/Raytheon.
Herring, T.A. and K. Quinn. 1999. Atmospheric delay correction to GLAS laser
altimeter ranges. GLAS algorithm theoretical basis document. Version 1.0. Lanham, MD: Science Systems and Applications, Inc.
Jester, P., and J. Lee. 2002. GLAS standard data products specification - level 1. Version 6.0. Wallops Island, VA: Raytheon ITSS.
Lee, J. 2002. GSAS user's guide: Version 4.0. Wallops Island, VA: Raytheon ITSS.
Palm, S., W. Hart, and D. Hlavka. 2002. GLAS atmospheric data products. GLAS
algorithm theoretical basis document. Version 4.2. Lanham, MD: Science Systems
and Applications, Inc.
Rim, H., and B. Schutz. 2002. Precision orbit determination. GLAS algorithm theoretical basis document. Version 2.2. Austin, TX: Center for Space Research,
University of Texas at Austin.
Schutz, B. 2002. Laser footprint location (geolocation) and surface profiles.GLAS algorithm theoretical basis document. Version 3.0. Austin, TX: Center for Space Research, University of Texas at Austin.
Schutz, B. 2000. GLAS altimeter post-launch calibration/validation plan. Version
0.99. Austin, TX: Center for Space Research, University of Texas at Austin.
Stephens, G.L. 1994. Remote sensing of the lower atmosphere: an introduction. New York: Oxford University Press.
Wahr, J., D. Wingham, and C. Bentley. 2000. A method of combining ICESat and GRACE satellite data to constrain Antarctic mass balance. Journal of Geophysical Research 105(B7):16,279-16,294.
Yi, D., J. Minster, and C. Bentley. 1999. Ocean tidal loading corrections. GLAS
algorithm theoretical basis document. Version 1.0. Greenbelt, MD: Goddard Space
Flight Center.
Zwally, H.J., B. Schutz, D. Hancock, and A. Brenner. 2000. ICESat/GLAS Standard Data Products in HDF and SCF Formats. Version 1.2. Greenbelt, MD: Goddard Space Flight Center.NOTE ON GLAS BINARY DATA: Access to all ICESat/GLAS binary data products at NSIDC DAAC was removed 01 August 2017. The Binary Data Subsetter also has been decommissioned. ICESat/GLAS data remain available in <a href="http://nsidc.org/data/glah09/versions/33">HDF5 format</a>.
The Geoscience Laser Altimeter System (GLAS) instrument on the Ice, Cloud, and Land Elevation Satellite (ICESat) provides global measurements of polar ice sheet elevation to discern changes in ice volume (mass balance) over time. Secondary objectives of GLAS are to measure sea ice roughness and thickness, cloud and atmospheric properties, land topography, vegetation canopy heights, ocean surface topography, and surface reflectivity.
GLAS has a 1064 nm laser channel for surface altimetry and dense cloud heights, and a 532 nm lidar channel for the vertical distribution of clouds and aerosols.
Level-2 cloud heights for multi-layer clouds (GLA09) contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz.
Each data granule has an associated browse product that users can quickly view to determine the general quality of the data in the granule. Browse products consist of image plots of key parameters and statistics. Data are in scaled integer binary format, big-endian (Unix) byte order.VIEW RELATED INFORMATIONhttps://doi.org/10.5067/ICESAT/GLAS/DATA222DocumentationGET DATAhttps://nsidc.org/data/data-access-tool/GLA09/versions/33/Data Access ToolPROJECT HOME PAGEhttp://glas.wff.nasa.gov/ICESat/GLAS web site at NASA Wallops Flight FacilityPROJECT HOME PAGEhttp://icesat.gsfc.nasa.gov/ICESat/GLAS web site at NASA Goddard Space Flight CenterPROJECT HOME PAGEhttp://www.csr.utexas.edu/glas/ICESat/GLAS web site at University of TexasPROJECT HOME PAGEhttp://nsidc.org/data/icesat/ICESat/GLAS Data at NSIDCUSA/NASACEOS IDN DIFVERSION 9.92011-08-112024-01-25NSIDCVersion SummaryFor information about Version 33, see the NSIDC ICESat <a href="http://nsidc.org/data/icesat/data_releases.html#rel33">Description of Data Releases</a> page.NSIDCMinor VersionNSIDCCurrent Version1NSIDCLevel of ServiceNo Data AccessNSIDCFull Dataset CitationZwally, H. J., R. Schutz, W. Hart, D. Hlavka, S. P. Palm, J. Spinhirne, and E. Welton. 2011. <i>GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds.</i> Version 33. [indicate subset used]. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center. <a href="https://doi.org/10.5067/ICESAT/GLAS/DATA222">https://doi.org/10.5067/ICESAT/GLAS/DATA222</a>. 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