Global Snow Cover Monitoring with Spaceborne K_u-band Scatterometer

This paper presents a study to demonstrate the potential of a spaceborne u -band scatterometer to monitor global snow cover. Global u -band data were acquired by the National Aeronautics and Space Administration (NASA) Scatterometer (NSCAT) operated on the Advanced Earth Observing Satellite (ADEOS)...

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Bibliographic Details
Main Authors: Son V. Nghiem, Wu-Yang Tsai
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2001
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.954
http://techreports.jpl.nasa.gov/2000/00-1896.pdf
Description
Summary:This paper presents a study to demonstrate the potential of a spaceborne u -band scatterometer to monitor global snow cover. Global u -band data were acquired by the National Aeronautics and Space Administration (NASA) Scatterometer (NSCAT) operated on the Advanced Earth Observing Satellite (ADEOS) from September 1996 to June 1997. NSCAT backscatter patterns over the northern hemisphere reveals boundaries between different snow classes, defined by the Cold Regions Research and Engineering Laboratory (CRREL), Hanover, NH, snow classification system at different times of the snow season. We show the evolution of the backscatter signature throughout the entire seasonal snow cycle. Within the snow extent determined by the National Oceanic and Atmospheric Administration (NOAA), Washington, DC, and Climate Prediction Center (CPC), operational snow product, u -band backscatter data expose detailed features and rapid changes as observed in in-situ snow depth data from surface weather stations in U.S., Canada, and Russia. Sensitivity of u -band backscatter to snow conditions is illustrated with the dramatic change over the U.S. northern plains and the Canadian prairie region corresponding to the snow event leading to the 1997 Flood of the Century. We discuss snow field experiments and data analysis plan to understand snow scattering mechanisms, to interpret snow backscatter, and to derive its relationship with snow physical parameters. In view of current and future satellite u -band scatterometers, the development of algorithms for quantitative snow cover monitoring is pertinent.