Evaluation and Uncertainty Estimation of the Latest Radar and Satellite Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States

Snow contributes to regional and global water budgets, and is of critical importance to water resources management and our society. Along with advancement in remote sensing tools and techniques to retrieve snowfall, verification and refinement of these estimates need to be performed using ground-val...

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Published inRemote sensing (Basel, Switzerland) Vol. 8; no. 11; p. 904
Main Authors Wen, Yixin, Behrangi, Ali, Lambrigtsen, Bjorn, Kirstetter, Pierre-Emmanuel
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2016
Subjects
Algorithms
Datasets
Doppler effect
GPM
Measurement techniques
Meteorological satellites
Precipitation
Precipitation (meteorology)
QPE
Radar
Rain
Rainfall measurement
Regions
Remote sensing
Retrieval
Satellites
Snow
Snowfall
SWE
Telemetry
Time zones
Water shortages
weather radar
United States > US
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Summary:Snow contributes to regional and global water budgets, and is of critical importance to water resources management and our society. Along with advancement in remote sensing tools and techniques to retrieve snowfall, verification and refinement of these estimates need to be performed using ground-validation datasets. A comprehensive evaluation of the Multi-Radar/Multi-Sensor (MRMS) snowfall products and Integrated Multi-satellitE Retrievals for GPM (Global Precipitation Measurement) (IMERG) precipitation products is conducted using the Snow Telemetry (SNOTEL) daily precipitation and Snow Water Equivalent (SWE) datasets. Severe underestimations are found in both radar and satellite products. Comparisons are conducted as functions of air temperature, snowfall intensity, and radar beam height, in hopes of resolving the discrepancies between measurements by remote sensing and gauge, and finally developing better snowfall retrieval algorithms in the future.
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ISSN:2072-4292
2072-4292
DOI:10.3390/rs8110904