M
Munehisa K. Yamamoto
Researcher at Kyoto University
Publications - 19
Citations - 468
Munehisa K. Yamamoto is an academic researcher from Kyoto University. The author has contributed to research in topics: Precipitation & Orographic lift. The author has an hindex of 9, co-authored 18 publications receiving 301 citations.
Papers
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Book ChapterDOI
Global Satellite Mapping of Precipitation (GSMaP) Products in the GPM Era
Takuji Kubota,Kazumasa Aonashi,Tomoo Ushio,Shoichi Shige,Yukari N. Takayabu,Misako Kachi,Yoriko Arai,Tomoko Tashima,Takeshi Masaki,Nozomi Kawamoto,Tomoaki Mega,Munehisa K. Yamamoto,Atsushi Hamada,Moeka Yamaji,Guosheng Liu,Riko Oki +15 more
TL;DR: In this article, the Global Satellite Mapping of Precipitation (GSMaP) has been provided by the Japan Aerospace Exploration Agency (JAXA) to distribute hourly global precipitation map with 0.1° × 0. 1° lat/lon grid.
Journal ArticleDOI
Implementation of an orographic/nonorographic rainfall classification scheme in the GSMaP algorithm for microwave radiometers
TL;DR: In this article, an orographic/nonorographic rainfall classification scheme was incorporated into the Global Satellite Mapping of Precipitation algorithm for passive microwave radiometers, which improved rainfall estimation over the entire Asian region.
Journal ArticleDOI
Role of Orography, Diurnal Cycle, and Intraseasonal Oscillation in Summer Monsoon Rainfall over the Western Ghats and Myanmar Coast
TL;DR: In this paper, the authors examined the rainfall over the coastal regions of western India [WG] and Myanmar [Arakan Yoma (AY), two regions experiencing the heaviest rainfall during the Asian summer monsoon, using a Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) dataset spanning 16 years.
Journal ArticleDOI
Improvement of High-Resolution Satellite Rainfall Product for Typhoon Morakot (2009) over Taiwan
Aina Taniguchi,Shoichi Shige,Munehisa K. Yamamoto,Tomoaki Mega,Satoshi Kida,Takuji Kubota,Misako Kachi,Tomoo Ushio,Kazumasa Aonashi +8 more
TL;DR: In this article, the authors improved the high-resolution Global Satellite Mapping of Precipitation (GSMaP) product for Typhoon Morakot (2009) over Taiwan by using an orographic/nonorographic rainfall classification scheme.
Journal ArticleDOI
Further Improvement of the Heavy Orographic Rainfall Retrievals in the GSMaP Algorithm for Microwave Radiometers
TL;DR: In this paper, an orographic/nonorographic rainfall classification scheme has been introduced for the operational algorithm of the Global Satellite Mapping of Precipitation (GSMaP) for passive microwave radiometers.