2020
DOI: 10.3390/rs12010141
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A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China

Abstract: The near-real-time satellite-derived precipitation estimates are attractive for a wide range of applications like extreme precipitation monitoring and natural hazard warning. Recently, a gauge-adjusted near-real-time GSMaP precipitation estimate (GSMaP_Gauge_NRT) was produced to improve the quality of the original GSMaP_NRT. In this study, efforts were taken to investigate and validate the performance of the GSMaP_Gauge_NRT using gauge observations over Mainland China. The analyses indicated that GSMaP_NRT gen… Show more

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Cited by 36 publications
(16 citation statements)
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“…These differences between NRTs and GNRTs are consistent with those inferred from Figures 2-4. Similar underestimation issues to those seen in GNRTs are also noted by [30] across other regions of the world. To further clarify the performances of SPPs, we calculated the corresponding RMSE between CWB and SPPs.…”
Section: Rainfall Evaluation For Warm Monthssupporting
confidence: 73%
“…These differences between NRTs and GNRTs are consistent with those inferred from Figures 2-4. Similar underestimation issues to those seen in GNRTs are also noted by [30] across other regions of the world. To further clarify the performances of SPPs, we calculated the corresponding RMSE between CWB and SPPs.…”
Section: Rainfall Evaluation For Warm Monthssupporting
confidence: 73%
“…Flood Early Warning System (FEWS) need high accuracy rainfall data in order to simulate the river discharge and produce the inundation map. For extreme rainfall monitoring, the near real time satellite data are used for many applications like natural hazard warning [2]. In this study, we used the Global Satellite Mapping of Precipitation (GSMaP) which were downloaded from JAXA Global Rainfall Watch (https://sharaku.eorc.jaxa.jp/GSMaP/).…”
Section: Datamentioning
confidence: 99%
“…The GSMaP algorithm utilizes various PMW radiometers to retrieve quantitative precipitation estimation 46 . In this study, the version GSMaP-Gauge 47 was chosen and applied, which was later referred to as GSMaP.…”
Section: Study Area and Datamentioning
confidence: 99%