z-logo
open-access-imgOpen Access
Ground Validation of GPM IMERG-F Precipitation Products with the Point Rain Gauge Records on the Extreme Rainfall Over a Mountainous Area of Sumatra Island
Author(s) -
Ravidho Ramadhan,
Marzuki Marzuki,
Robi Muharsyah,
Ayu Putri Ningsih,
Hiroyuki Hashiguchi,
Toyoshi Shimomai,
Mutya Vonnisa,
Syarifatul Ulfah,
Wiwit Suryanto,
Sholihun Sholihun
Publication year - 2022
Publication title -
jurnal penelitian pendidikan ipa
Language(s) - English
Resource type - Journals
eISSN - 2460-2582
pISSN - 2407-795X
DOI - 10.29303/jppipa.v8i1.1155
Subject(s) - precipitation , environmental science , global precipitation measurement , rain gauge , climatology , satellite , meteorology , geography , geology , aerospace engineering , engineering
Accurate satellite precipitation estimates over areas of complex topography are still challenging, while such accuracy is of importance to the adoption of satellite data for hydrological applications. This study evaluated the ability of Integrated Multi-satellitE Retrievals for GPM -Final (IMERG) V06 product to observe the extreme rainfall over a mountainous area of Sumatra Island. Fifteen years of optical rain gauge (ORG) observation at Kototabang, West Sumatra, Indonesia (100.32°E, 0.20°S, 865 m above sea level), were used as reference surface measurement. The performance of IMERG-F was evaluated using 13 extreme rain indexes formulated by the Expert Team on Climate Change Detection and Indices (ETCCDI). The IMERG-F overestimated the values of all precipitation amount-based indices (PRCPTOT, R85P, R95P, and R99P), three precipitation frequency-based indices (R1mm, R10mm, R20mm), one precipitation duration-based indices (CWD), and one precipitation intensity-based indices (RX5day). Furthermore, the IMERG-F underestimated the values of precipitation frequency-based indices (R50mm), one precipitation duration-based indices (CDD), one precipitation intensity-based indices (SDII). In terms of correlation, only five indexes have a correlation coefficient (R) > 0.5, consistent with Kling–Gupta Efficiency (KGE) value. These results confirm the need to improve the accuracy of the IMERG-F data in mountainous areas.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here