DOI: 10.1016/j.atmosres.2017.11.005
Scopus记录号: 2-s2.0-85033444980
论文题名: Systematical estimation of GPM-based global satellite mapping of precipitation products over China
作者: Zhao H. ; Yang B. ; Yang S. ; Huang Y. ; Dong G. ; Bai J. ; Wang Z.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 201 起始页码: 206
结束页码: 217
语种: 英语
英文关键词: China
; Estimation
; GPM
; GSMaP
; IMERG
; Precipitation
Scopus关键词: Estimation
; Gages
; Mapping
; Mean square error
; Precipitation (chemical)
; Precipitation (meteorology)
; China
; Global precipitation measurement missions
; Global precipitation measurements
; GSMaP
; IMERG
; Linear correlation coefficient
; Quantitative assessments
; Spatio-temporal resolution
; Satellites
; estimation method
; mapping
; precipitation (climatology)
; quantitative analysis
; rainfall
; satellite imagery
; spacecraft
; spatiotemporal analysis
; China
英文摘要: As the Global Precipitation Measurement (GPM) Core Observatory satellite continues its mission, new version 6 products for Global Satellite Mapping of Precipitation (GSMaP) have been released. However, few studies have systematically evaluated the GSMaP products over mainland China. This study quantitatively evaluated three GPM-based GSMaP version 6 precipitation products for China and eight subregions referring to the Chinese daily Precipitation Analysis Product (CPAP). The GSMaP products included near-real-time (GSMaP_NRT), microwave-infrared reanalyzed (GSMaP_MVK), and gauge-adjusted (GSMaP_Gau) data. Additionally, the gauge-adjusted Integrated Multi-Satellite Retrievals for Global Precipitation Measurement Mission (IMERG_Gau) was also assessed and compared with GSMaP_Gau. The analyses of the selected daily products were carried out at spatiotemporal resolutions of 1/4° for the period of March 2014 to December 2015 in consideration of the resolution of CPAP and the consistency of the coverage periods of the satellite products. The results indicated that GSMaP_MVK and GSMaP_NRT performed comparably and underdetected light rainfall events (< 5 mm/day) in the northwest and northeast of China. All the statistical metrics of GSMaP_MVK were slightly improved compared with GSMaP_NRT in spring, autumn, and winter, whereas GSMaP_NRT demonstrated superior Pearson linear correlation coefficient (CC), fractional standard error (FSE), and root-mean-square error (RMSE) metrics during the summer. Compared with GSMaP_NRT and GSMaP_MVK, GSMaP_Gau possessed significantly improved metrics over mainland China and the eight subregions and performed better in terms of CC, RMSE, and FSE but underestimated precipitation to a greater degree than IMERG_Gau. As a quantitative assessment of the GPM-era GSMaP products, these validation results will supply helpful references for both end users and algorithm developers. However, the study findings need to be confirmed over a longer future study period when the longer-period IMERG retrospectively-processed data are available. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108992
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; Institute of Surveying and Mapping, Beijing, 100038, China; State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing, 100875, China; Yellow River Institute of Hydraulic Research, Zhengzhou, 450003, China
Recommended Citation:
Zhao H.,Yang B.,Yang S.,et al. Systematical estimation of GPM-based global satellite mapping of precipitation products over China[J]. Atmospheric Research,2018-01-01,201