Validation of Satellite Daily Rainfall Estimates Over Indonesia

Forum Geografi

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Field Value
 
Title Validation of Satellite Daily Rainfall Estimates Over Indonesia
 
Creator Fatkhuroyan, Fatkhuroyan
Wati, Trinah
Sukmana, Alfan
Kurniawan, Roni
 
Subject
GSMaP; rainfall; rain-gauge

 
Description Rainfall is the most important factor in the Earth’s water and energy cycles. The aim of this research is to evaluate the accuracy of Global Satellite Mapping of Rainfall (GSMaP) data by referencing daily rain-gauged rainfall measurements across the Indonesian Maritime Continent. We compare the daily rainfall data from GSMaP Moving Kalman Filter (MVK) to readings from 152 rain-gauge observation stations across Indonesia from March 2014 to December 2017. The results show that the correlation coefficient (CC) provides better validation in the rainy season while root mean square error (RMSE) is more accurate in the dry season. The highest proportion correct (PC) value is obtained for Bali-NTT, while the highest probability of detection (POD) and false alarm ratio (FAR) values are obtained for Kalimantan. GSMaP-MVK data is over-estimated compared to observations in Indonesia, with the mean accuracy for daily rainfall estimation being 85.47% in 2014, 85.74% in 2015, 82.73 in 2016, and 82.59% in 2017.
 
Publisher Universitas Muhammadiyah Surakarta
 
Contributor BMKG
JAXA Japan
 
Date 2018-11-26
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
text/html
 
Identifier http://journals.ums.ac.id/index.php/fg/article/view/6288
10.23917/forgeo.v32i2.6288
 
Source Forum Geografi; Vol 32, No 2 (2018): December 2018; 170-180
2460-3945
0852-0682
 
Language eng
 
Relation http://journals.ums.ac.id/index.php/fg/article/view/6288/4207
http://journals.ums.ac.id/index.php/fg/article/view/6288/4316
 
Coverage


 
Rights Copyright (c) 2018 fatkhuroyan fatkhuroyan, Trinah Wati, alfan sukmana, roni kurniawan
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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