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Evaluation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products Using the Rain Gauge Network over China.
- Source :
- Journal of Hydrometeorology; Mar2021, Vol. 22 Issue 3, p547-559, 13p
- Publication Year :
- 2021
-
Abstract
- The Dual-Frequency Precipitation Radar (DPR) on board the Global Precipitation Measurement (GPM) mission core satellite provides the new-generation global observation of rain since 2014. The main objective of this paper is to evaluate the suitability and limitation of GPM-DPR level-2 products over China. The DPR rain rate products are compared with rain gauge data during the summers of 5 years (2014-18). The ground observation network is composed of more than 50 000 rain gauges. The DPR precipitation products for all scans (DPR_NS, DPR_MS, and DPR_HS) generally underestimate rain rates. However, DPR_MS agrees better with gauge estimates thanDPR_NS and DPR_HS, yielding the lowest mean error, systematic deviation, and highest Pearson correlation coefficient. In addition, all three swath types show obvious overestimation over gauge estimates between 0.5 and 1mmh<superscript>-1</superscript> and underestimation when gauge estimates are larger than 1mmh<superscript>-1</superscript>. The DPR_HS and DPR_MS agree better with gauge estimates below and above 2.5mmh<superscript>-1</superscript>, respectively. A deeper investigation was carried out to analyze the variation of DPR_MS's performance with respect to terrains over China. An obvious underestimation, relative to gauge estimates, occurs in Tibetan Plateau while a slight overestimation occurs in the North China Plain. Furthermore, our comprehensive analysis suggests that in Sichuan Basin, the DPR_MS exhibit the best agreement with gauge estimates. [ABSTRACT FROM AUTHOR]
- Subjects :
- RAIN gauges
RADAR
PEARSON correlation (Statistics)
Subjects
Details
- Language :
- English
- ISSN :
- 1525755X
- Volume :
- 22
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Hydrometeorology
- Publication Type :
- Academic Journal
- Accession number :
- 149316240
- Full Text :
- https://doi.org/10.1175/JHM-D-20-0156.1