Comprehensive analysis of GEO-KOMPSAT-2A and FengYun satellite-based precipitation estimates across Northeast

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dc.contributor.authorYin, Gaohong
dc.contributor.authorBaik, Jongjin
dc.contributor.authorPark, Jongmin
dc.date.accessioned2022-06-14T16:57:17Z
dc.date.available2022-06-14T16:57:17Z
dc.date.issued2022-05-03
dc.description.abstractGeostationary meteorological satellites provide precipitation estimates with a high spatio-temporal resolution, which is important for near real-time precipitation monitoring. This study systematically evaluated geostationary orbit (GEO) satellite-based quantitative precipitation estimates (QPEs) from Chinese Fengyun-2 G (FY-2 G), Fengyun-4A (FY-4A), and South Korean Geo-KOMPSAT-2A (GK-2A) across Northeast Asia in 2020. Compared against ground-based rainfall gauges at a 6-hourly scale, FY-2 G provided the highest accuracy in the China region with a high correlation coefficient (R = 0.53) and a low bias (−0.26 mm) due to the ground calibration process in FY-2 G. Conversely, GK-2A provided more accurate precipitation estimates for South Korea and Japan stations. FY-4A QPE generally showed a large positive bias throughout different seasons, although it provided satisfactory R and categorical statistics. FY-based QPEs slightly overestimated summer precipitation, especially over South Korea and Japan region, while GK-2A tended to underestimate summer precipitation. All examined QPEs showed poor accuracy during the winter season due to the frozen particles and ice clouds. Intensity analysis revealed that FY-based QPEs tended to overestimate the occurrence of no rain and heavy rain cases, whereas GK-2A underestimated no rain and heavy rain cases and overestimated light rain occurrence. It is also found that all examined QPEs captured the temporal variation of precipitation during storm events, while FY-based products overestimated heavy precipitation peaks and GK-2A underestimated peak precipitation. The findings in the study provided valuable information to further improve current infrared precipitation retrieval algorithms.en_US
dc.description.sponsorshipThis work is supported by the Japan Society for the Promotion of Science (JSPS) via Grants-in-Aid No. 21K20443, as well as the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2021R1C1C2006215). We appreciate China Meteorological Administration (CMA) National Satellite Meteorological Center (NSMC) for providing FengYun-2G (FY-2G) and FengYun-4A (FY-4A) QPE product, Korea Meteorological Administration (KMA) for providing Geo-Kompsat-2A (GK-2A) QPE product and hourly ground-based precipitation measurements over South Korea, and NOAA National Center for Environmental Information for providing 6-hourly ground-based precipitation measurements over China and Japan. This work was supported by the National Research Foundation of Korea [NRF-2021R1C1C2006215]; Japan Society for the Promotion of Science [21K20443].en_US
dc.description.urihttps://www.tandfonline.com/doi/full/10.1080/15481603.2022.2067970en_US
dc.format.extent20 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2ie9o-i5sd
dc.identifier.citationGaohong Yin, Jongjin Baik & Jongmin Park (2022) Comprehensive analysis of GEO-KOMPSAT-2A and FengYun satellite-based precipitation estimates across Northeast Asia, GIScience & Remote Sensing, 59:1, 782-800, DOI: 10.1080/15481603.2022.2067970en_US
dc.identifier.urihttps://doi.org/10.1080/15481603.2022.2067970
dc.identifier.urihttp://hdl.handle.net/11603/24911
dc.language.isoen_USen_US
dc.publisherTaylor & Francisen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.titleComprehensive analysis of GEO-KOMPSAT-2A and FengYun satellite-based precipitation estimates across Northeasten_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-7110-4881en_US

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