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

被引：32

作者：

Wen, Yixin ^{[1
]}

Behrangi, Ali ^{[1
]}

Lambrigtsen, Bjorn ^{[1
]}

Kirstetter, Pierre-Emmanuel ^{[2
,3
]}

机构：

[1] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA

[2] Univ Oklahoma, Adv Radar Res Ctr, Norman, OK 73019 USA

[3] NOAA, Natl Severe Storms Lab, Norman, OK 73019 USA

来源：

REMOTE SENSING | 2016年 / 8卷 / 11期

关键词：

QPE; SWE; weather radar; GPM; REAL-TIME; PRECIPITATION; REFLECTIVITY; IDENTIFICATION; TEMPERATURE; PROFILES; DENSITY; SYSTEM;

D O I：

10.3390/rs8110904

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

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