TY - JOUR
T1 - Assessment of near-real-time satellite precipitation products from gsmap in monitoring rainfall variations over taiwan
AU - Huang, Wan Ru
AU - Liu, Pin Yi
AU - Hsu, Jie
AU - Li, Xiuzhen
AU - Deng, Liping
N1 - Funding Information:
This research was funded by the Ministry of Science and Technology of Taiwan under MOST 106-2628-M-003-001-MY4 and MOST 109-2625-M-003-004. X.L. was supported by National Natural Science Foundation of China (Project No. 41775043 and 42088101), and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (Grant 2020B1212060025). L.D. was supported by the National Natural Science Foundation of China (Grant No.41875071), ?Yangfan? Talent Project of Guangdong Province (Grant No. 000001005) and Doctoral Fund of Guangdong Ocean University (Grant No. R17002).
Funding Information:
Funding: This research was funded by the Ministry of Science and Technology of Taiwan under MOST 106-2628-M-003-001-MY4 and MOST 109-2625-M-003-004. X.L. was supported by National Natural Science Foundation of China (Project No. 41775043 and 42088101), and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (Grant 2020B1212060025). L.D. was supported by the National Natural Science Foundation of China (Grant No.41875071), “Yangfan” Talent Project of Guangdong Province (Grant No. Ocean University (Grant No. R17002).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/1/2
Y1 - 2021/1/2
N2 - 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.).
AB - 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.).
KW - Complex terrain
KW - Global precipitation mission
KW - Near-real-time
KW - Satellite
UR - http://www.scopus.com/inward/record.url?scp=85099239073&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099239073&partnerID=8YFLogxK
U2 - 10.3390/rs13020202
DO - 10.3390/rs13020202
M3 - Article
AN - SCOPUS:85099239073
SN - 2072-4292
VL - 13
SP - 1
EP - 17
JO - Remote Sensing
JF - Remote Sensing
IS - 2
M1 - 202
ER -