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A Blended Global Snow Product using Visible, Passive Microwave and Scatterometer Satellite DataA joint U.S. Air Force/NASA blended, global snow product that utilizes Earth Observation System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS), Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and QuikSCAT (Quick Scatterometer) (QSCAT) data has been developed. Existing snow products derived from these sensors have been blended into a single, global, daily, user-friendly product by employing a newly-developed Air Force Weather Agency (AFWA)/National Aeronautics and Space Administration (NASA) Snow Algorithm (ANSA). This initial blended-snow product uses minimal modeling to expeditiously yield improved snow products, which include snow cover extent, fractional snow cover, snow water equivalent (SWE), onset of snowmelt, and identification of actively melting snow cover. The blended snow products are currently 25-km resolution. These products are validated with data from the lower Great Lakes region of the U.S., from Colorado during the Cold Lands Processes Experiment (CLPX), and from Finland. The AMSR-E product is especially useful in detecting snow through clouds; however, passive microwave data miss snow in those regions where the snow cover is thin, along the margins of the continental snowline, and on the lee side of the Rocky Mountains, for instance. In these regions, the MODIS product can map shallow snow cover under cloud-free conditions. The confidence for mapping snow cover extent is greater with the MODIS product than with the microwave product when cloud-free MODIS observations are available. Therefore, the MODIS product is used as the default for detecting snow cover. The passive microwave product is used as the default only in those areas where MODIS data are not applicable due to the presence of clouds and darkness. The AMSR-E snow product is used in association with the difference between ascending and descending satellite passes or Diurnal Amplitude Variations (DAV) to detect the onset of melt, and a QSCAT product will be used to map areas of snow that are actively melting.
Document ID
20090012465
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Foster, James L.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hall, Dorothy K.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Eylander, John B.
(Air Force Weather Agency Offutt AFB, NE, United States)
Riggs, George A.
(Science Systems and Applications, Inc. Lanham, MD, United States)
Nghiem, Son V.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Tedesco, Marco
(City Univ. of New York NY, United States)
Kim, Edward
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Montesano, Paul M.
(Science Systems and Applications, Inc. Lanham, MD, United States)
Kelly, Richard E. J.
(Waterloo Univ. Ontario, Canada)
Casey, Kimberly A.
(Wyle Labs., Inc. McLean, VA, United States)
Choudhury, Bhaskar
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2009
Subject Category
Earth Resources And Remote Sensing
Distribution Limits
Public
Copyright
Public Use Permitted.
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