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Evaluation of Rainfall‐Snowfall Separation Performance in Remote Sensing Datasets
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2021
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Source: Geophysical Research Letters, 48(21)
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Journal Title:Geophysical Research Letters
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Description:The first step to accurately measure global snowfall is to separate rainfall from snowfall correctly (i.e., precipitation phase discrimination). This study first evaluates the phase discrimination performance in four remote sensing datasets, including observations from ground radar, spaceborne radars, and spaceborne radiometer, relative to ground observations. Results show that the snowfall discrimination accuracy varies greatly among these datasets ranging from 42% to 96%, dependent on whether and how the temperature information are considered. For example, over half of the snowfall from the Global Precipitation Measurement Mission (GPM) spaceborne radar is actually rainfall at the
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Source:Geophysical Research Letters, 48(21)
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ISSN:0094-8276;1944-8007;
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Rights Information:Other
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Compliance:Library
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