This study evaluated and improved the Real-Time Global Satellite Mapping of Precipitation (GSMaP_NOW) of the Jakarta flood on January 1, 2020. We used 68 gauges for training, 17 gauges for evaluation, GSMaP_NOW, and GSMaP_GAUGE_NOW products. Improvement methods were delta method (D), local bias (LB), conditional merging (CM), kriging with external drift (KED), and collocated co-kriging (CCK). The results showed that GSMAP_NOW and GSMAP_GAUGE_NOW had poor accuracy towards the gauges, all merging methods were underestimated for heavy precipitation, and KED was the best method, followed by LB and D, to improve accuracy significantly and reduce the error of GSMaP_NOW. For future studies, another case and another method can be used to make comprehensive results.
Accuracy improvement of merging real-time global satellite mapping of precipitation (GSMaP_NOW) and gauge: A case study of Jakarta flood on January 1, 2020
THE 9TH INTERNATIONAL SEMINAR ON AEROSPACE SCIENCE AND TECHNOLOGY – ISAST 2022 ; 2022 ; Bogor, Indonesia
AIP Conference Proceedings ; 2941 , 1
11.12.2023
7 pages
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
American Institute of Physics | 2021
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