HR: 09:15h
AN: C11C-06 [Abstracts]
TI: Estimating SWE globally using AMSR-E observations: validation and algorithm development
AU: * Kelly, R E
EM: rejkelly@fes.uwaterloo.ca
AF: Department of Geography
University of Waterloo, 200 University Avenue West, Waterloo, ON N2L3G1, Canada
AU: Foster, J L
EM: James.L.Foster@nasa.gov
AF: Hydrospheric and Biospheric Sciences Laboratory
NASA/Goddard Space Flight Center, Greenbelt Road, Greenbelt, MD 20771, United States
AU: Hall, D K
EM: Dorothy.K.Hall@nasa.gov
AF: Hydrospheric and Biospheric Sciences Laboratory
NASA/Goddard Space Flight Center, Greenbelt Road, Greenbelt, MD 20771, United States
AU: Tedesco, M
EM: mtedesco@umbc.edu
AF: GEST
University of Maryland Baltimore County, University of Maryland Baltimore County
5523 Research Park Drive, Suite 320, Baltimore, MD 21228, United States
AB:
The Advanced Microwave Scanning Radiometer - EOS (AMSR-E) instrument aboard
NASA's Aqua satellite mission is used to estimate daily, five day maximum and monthly
average snow water equivalent on a polar projected 25 x 25 km grid. The five-day and monthly products are based
on the daily product which uses microwave brightness temperature observations at 10, 18, 36 and 89 GHz, two
MODIS land cover products and a snow density "climatology" based on
Russian and Canadian data. The current version (B07) of the product implements a dynamic algorithm that has
developed from a static approach based on a method by Chang et al. (1987). Retrievals are performed at the
native spatial resolution to reflect the measurement "process". This paper
describes validation and algorithm developments to the product based on an assessment of the B07 version.
New developments to the algorithm that improve the detection capability and that better correct for vegetation are
described. The paper also identifies a pathway that will enable the product to reach level 1 validation status.
DE: 0700 CRYOSPHERE (4540)
DE: 0736 Snow (1827, 1863)
DE: 0758 Remote sensing
DE: 6969 Remote sensing
SC: Cryosphere [C]
MN: 2007 Fall Meeting