日本地球惑星科学連合2024年大会

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[E] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG36] 衛星による地球環境観測

2024年5月27日(月) 15:30 〜 16:45 105 (幕張メッセ国際会議場)

コンビーナ:沖 理子(宇宙航空研究開発機構)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)、高橋 暢宏(名古屋大学 宇宙地球環境研究所)、座長:可知 美佐子(宇宙航空研究開発機構 地球観測研究センター)、高橋 暢宏(名古屋大学 宇宙地球環境研究所)

16:00 〜 16:15

[ACG36-18] Long term evaluation of the latest version of the Global Satellite Mapping of Precipitation (GSMaP)

*山本 宗尚1久保田 拓志1 (1.国立研究開発法人宇宙航空研究開発機構地球観測研究センター)

キーワード:GSMaP、降水、衛星

The Global Satellite Mapping of Precipitation (GSMaP) provides precipitation estimation by combining observations from multiple microwave radiometers (PMW) onboard low Earth orbit satellites and infrared radiometers (IR) onboard geostationary meteorological satellites. The latest version of GSMaP (product version 05 (V05) and algorithm version 8) released in December 2021. This version contains implementation of new scheme such as rainfall normalization module among PMWs and histogram matching between PMW and IR information, extension of data provision period (January 1998 - March 2000, total more than 25 years), and several updates. Some climatology statistics from daily to monthly such as average, extreme rainfall, and drought index are also updated.
In this study, we investigated the performance of GSMaP to compare the previous version (V04) of GSMaP, some other satellite rainfall products, and rain gauges over the whole period. For example, in India, bias of monthly mean rainfall, failure of rain detection, and overestimation of each rain sample in GSMaP V05 is mitigated as compared to those in V04. bias and correlation are better than the Integrated Multi-satellite Retrievals for GPM (IMERG). An underestimation of rainfall is confirmed along the coastal regions of the Western Ghats. However, the underestimation is mitigated for the gauge-calibrated products, even in the near real-time product.