A blended global snow product using visible, passive microwave and scatterometer satellite data
نویسندگان
چکیده
1 NASA/GSFC, Hydrospheric and Biospheric Sciences Laboratory, Greenbelt, MD, USA 2 HQ AF Weather Agency,106 Peacekeeper Dr., Suite 2N3, Offutt AFB, NE, USA 3 Science Systems and Applications, LANHAM, MD, USA 4 jet propulsion laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, USA 5 City University of New York, NY, NY, USA 6 Waterloo University, Geography Department, Waterloo, Ontario, Canada 7 Wylie Laboratories Inc., McLean, VA, USA
منابع مشابه
A Global Snowmelt Product Using Visible, Passive Microwave and Scatterometer Satellite Data
Seasonal snow cover is a key component of the Earth’s energy balance and a key storage mechanism for water. In many areas of the world, people rely on snowmelt runoff for their water resources. For example, melting snow contributes upwards of 70% of the total annual water supply in the western U.S., and in India, Pakistan, Afghanistan, and Nepal snow and ice melt from the Hindu Kush and Himalay...
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Output from satellite-borne passive microwave sensors has increasingly been recognized as an important means of monitoring snow cover. However, employing a single global algorithm t o extract a snow signal from multichannel microwave data does not accurately monitor snow across all landscapes. One such region where difficulties occur is the Tibetan Plateau, where global algorithms overestimate ...
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Sea level rise related to the melting and thinning of the Greenland Ice Sheet (GrIS), a subject of growing concern in recent years, will eventually affect the global climate. Although the melting of snow on the GrIS is actively monitored by passive microwave remote sensing, very few studies have estimated the seasonal GrIS snow depth using this technique. In this study, to estimate seasonal sno...
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