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Remote Sens. 2016, 8(11), 904; doi:10.3390/rs8110904

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

1
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
2
Advanced Radar Research Center, University of Oklahoma, Norman, OK 73019, USA
3
NOAA/National Severe Storms Laboratory, Norman, OK 73019, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Yudong Tian, Ken Harrison, Magaly Koch and Prasad S. Thenkabail
Received: 9 September 2016 / Revised: 20 October 2016 / Accepted: 24 October 2016 / Published: 1 November 2016
(This article belongs to the Special Issue Uncertainties in Remote Sensing)
View Full-Text   |   Download PDF [3350 KB, uploaded 1 November 2016]   |  

Abstract

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. View Full-Text
Keywords: QPE; SWE; weather radar; GPM QPE; SWE; weather radar; GPM
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wen, Y.; Behrangi, A.; Lambrigtsen, B.; Kirstetter, P.-E. Evaluation and Uncertainty Estimation of the Latest Radar and Satellite Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States. Remote Sens. 2016, 8, 904.

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