TurnerLehman

# TurnerLehman - Using Modis to Correct for Underestimations...

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Using Modis to Correct for Underestimations of SWE From AMSR-E Laura Turner and Garrett Lehman

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Problem AMSR-E has a resolution of 25km Assumes complete coverage in a pixel Bare ground in a pixel causes underestimates of differences in Brightness Temperature Underestimating the differences between Tb’s causes underestimates of SWE
AMSR-E Facts and Limitations Uses differences in Tb between 18Ghz and 37GHz Accurate to about 5mm SWE 13-200mm= range limit of SWE accuracy Works even when there is cloud cover Trouble in mountainous regions Changes in grain size affect SWE calculations

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The Algorithm and More Limitations SWE=1.7(Tb18-Tb37) Both Vertical Threshold Tb’s Tb37>250K Threshold for Precipitation Wet Snow limitation Diff Tb>10k and Surface T >270
Algorithm w/ Bare Ground Emissivity doesn’t vary much for bare ground in 18 and 37Ghz Causes underestimates in diff of Tb’s Sensor really receives SWE=1.7(Tb19- Tb37)(1-F) F=the fraction of Bare Ground

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## This note was uploaded on 08/06/2008 for the course ESM 266 taught by Professor Dozier during the Spring '08 term at UCSB.

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TurnerLehman - Using Modis to Correct for Underestimations...

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