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Article

Assessment of Near-Real-Time Satellite Precipitation Products from GSMaP in Monitoring Rainfall Variations over Taiwan

1
Department of Earth Sciences, National Taiwan Normal University, Taipei 11677, Taiwan
2
Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
3
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
4
College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(2), 202; https://doi.org/10.3390/rs13020202
Received: 23 December 2020 / Revised: 5 January 2021 / Accepted: 7 January 2021 / Published: 8 January 2021
This study assessed four near-real-time satellite precipitation products (NRT SPPs) of Global Satellite Mapping of Precipitation (GSMaP)—NRT v6 (hereafter NRT6), NRT v7 (hereafter NRT7), Gauge-NRT v6 (hereafter GNRT6), and Gauge-NRT v7 (hereafter GNRT7)— in representing the daily and monthly rainfall variations over Taiwan, an island with complex terrain. The GNRT products are the gauge-adjusted version of NRT products. Evaluations for warm (May–October) and cold months (November–April) were conducted from May 2017 to April 2020. By using observations from more than 400 surface gauges in Taiwan as a reference, our evaluations showed that GNRT products had a greater error than NRT products in underestimating the monthly mean rainfall, especially during the warm months. Among SPPs, NRT7 performed best in quantitative monthly mean rainfall estimation; however, when examining the daily scale, GNRT6 and GNRT7 were superior, particularly for monitoring stronger (i.e., more intense) rainfall events during warm and cold months, respectively. Spatially, the major improvement from NRT6 to GNRT6 (from NRT7 to GNRT7) in monitoring stronger rainfall events over southwestern Taiwan was revealed during warm (cold) months. From NRT6 to NRT7, the improvement in daily rainfall estimation primarily occurred over southwestern and northwestern Taiwan during the warm and cold months, respectively. Possible explanations for the differences between the ability of SPPs are attributed to the algorithms used in SPPs. These findings highlight that different NRT SPPs of GSMaP should be used for studying or monitoring the rainfall variations over Taiwan for different purposes (e.g., warning of floods in different seasons, studying monthly or daily precipitation features in different seasons, etc.). View Full-Text
Keywords: near-real-time; complex terrain; satellite; global precipitation mission near-real-time; complex terrain; satellite; global precipitation mission
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MDPI and ACS Style

Huang, W.-R.; Liu, P.-Y.; Hsu, J.; Li, X.; Deng, L. Assessment of Near-Real-Time Satellite Precipitation Products from GSMaP in Monitoring Rainfall Variations over Taiwan. Remote Sens. 2021, 13, 202. https://doi.org/10.3390/rs13020202

AMA Style

Huang W-R, Liu P-Y, Hsu J, Li X, Deng L. Assessment of Near-Real-Time Satellite Precipitation Products from GSMaP in Monitoring Rainfall Variations over Taiwan. Remote Sensing. 2021; 13(2):202. https://doi.org/10.3390/rs13020202

Chicago/Turabian Style

Huang, Wan-Ru, Pin-Yi Liu, Jie Hsu, Xiuzhen Li, and Liping Deng. 2021. "Assessment of Near-Real-Time Satellite Precipitation Products from GSMaP in Monitoring Rainfall Variations over Taiwan" Remote Sensing 13, no. 2: 202. https://doi.org/10.3390/rs13020202

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