683 Use of GOES-R proxy data for snowmelt detection

Wednesday, 9 January 2013
Exhibit Hall 3 (Austin Convention Center)
Cezar Kongoli, Univ. of Maryland, College Park, MD; and Y. Liu and Y. Yu

This study presents an application of the future GOES-R Advanced Baseline Imager (ABI) measurements for snowmelt detection. A snowmelt detection algorithm would be synergetic to the GOES-R Flood/Standing Water algorithm in providing valuable information to hydrologists and forecasters for snowpack-runoff prediction and flood monitoring all-year round. The methodology put forth is a technique that uses GOES-12-14 series derived Land Surface Temperature (LST) information in combination with snow fraction and surface type to flag the melting snow sub-component of the GOES pixel. An investigation is also carried out using optical imagery from the Visible Infrared Imager Radiometer Suite (VIIRS) to examine the potential for improved day-time melt detection.
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