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Nobuhiro Takahashi
Researcher at Nagoya University
Publications - 80
Citations - 2393
Nobuhiro Takahashi is an academic researcher from Nagoya University. The author has contributed to research in topics: Radar & Global Precipitation Measurement. The author has an hindex of 18, co-authored 80 publications receiving 2008 citations. Previous affiliations of Nobuhiro Takahashi include National Institute of Information and Communications Technology.
Papers
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Journal ArticleDOI
Global Precipitation Map using Satelliteborne Microwave Radiometers by the GSMaP Project : Production and Validation
Takuji Kubota,Shoichi Shige,H. Hashizume,Kazumasa Aonashi,Nobuhiro Takahashi,Sinta Seto,Yukari N. Takayabu,Tomoo Ushio,Katsuhiro Nakagawa,Koyuru Iwanami,Misako Kachi,Ken-ichi Okamoto +11 more
TL;DR: Rain rates retrieved from the GSMaP_TMI are in better agreement with the PR estimates over land everywhere except over tropical Africa in the boreal summer.
Journal ArticleDOI
A Kalman Filter Approach to the Global Satellite Mapping of Precipitation (GSMaP) from Combined Passive Microwave and Infrared Radiometric Data
Tomoo Ushio,Kazushi Sasashige,Takuji Kubota,Shoichi Shige,Ken-ichi Okamoto,Kazumasa Aonashi,Toshiro Inoue,Nobuhiro Takahashi,Toshio Iguchi,Misako Kachi,Riko Oki,Takeshi Morimoto,Zen-Ichiro Kawasaki +12 more
TL;DR: In this article, a system has been developed and implemented that integrates passive microwave radiometer data with IR data in order to have high temporal (1 hour) and spatial (0.1 degree) resolution global precipitation estimates.
Journal ArticleDOI
GSMaP Passive Microwave Precipitation Retrieval Algorithm : Algorithm Description and Validation
Kazumasa Aonashi,Jun Awaka,Masafumi Hirose,Toshikaki Kozu,Takuji Kubota,Guosheng Liu,Shoichi Shige,Satoshi Kida,Sinta Seto,Nobuhiro Takahashi,Yukari N. Takayabu +10 more
TL;DR: In this paper, the authors describe a precipitation-retrieval algorithm for the tropical rain measurement mission (TRMM) Microwave Imager (TMI) that was developed under the Global Satellite Mapping of Precipitation project (GSMaP) by improving the authors' previous algorithm.
Proceedings ArticleDOI
The global satellite mapping of precipitation (GSMaP) project
TL;DR: Two products which are a product of surface rainfall rate with 0.1 degree and 1 hour resolution on a global basis and GSMaP_Gauge which is a gauge adjusted product to the GSM aP_MVK for climatological studies are introduced, focusing particularly on structure and performance of the algorithm and some initial evaluation tests.
Proceedings Article
A dual-frequency rain profiling method without the use of a surface reference technique : Learning from Earth's Shapes and Colors
TL;DR: A method to estimate the drop size distribution (DSD) parameters for dual-frequency radar observations that does not rely on the surface echoes is proposed, and the comparison between the results derived from the surface reference technique and thosederived from the proposed method are presented and discussed.