K
Koji Dairaku
Researcher at Japan Agency for Marine-Earth Science and Technology
Publications - 35
Citations - 563
Koji Dairaku is an academic researcher from Japan Agency for Marine-Earth Science and Technology. The author has contributed to research in topics: Climate model & Precipitation. The author has an hindex of 13, co-authored 33 publications receiving 484 citations. Previous affiliations of Koji Dairaku include National Institute for Environmental Studies.
Papers
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Evaluation and intercomparison of downscaled daily precipitation indices over Japan in present-day climate: Strengths and weaknesses of dynamical and bias correction-type statistical downscaling methods
TL;DR: In this paper, the authors evaluated the accuracy of four regional climate models (NHRCM, NRAMS, TRAMS, and TWRF) and one bias correction-type statistical model (CDFDM) for daily precipitation indices under the present-day climate (1985-2004) over Japan on a 20 km grid interval.
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Rainfall Amount, Intensity, Duration, and Frequency Relationships in the Mae Chaem Watershed in Southeast Asia
TL;DR: In this paper, a tipping-bucket rain gauge network was established in the Mae Chaem watershed in the mountains of northwestern Thailand as part of the Global Energy and Water Cycle Experiment (GEWEX) Asian Monsoon Experiment-Tropics (GAME-T).
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Improved Performance of Simulated Japanese Climate with a Multi-Model Ensemble
Noriko N. Ishizaki,Izuru Takayabu,Mitsuo Oh'izumi,Hidetaka Sasaki,Koji Dairaku,Satoshi Iizuka,Fujio Kimura,Hiroyuki Kusaka,Sachiho A. Adachi,Kazuo Kurihara,Kazuyo Murazaki,Kenji Tanaka +11 more
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Reconsidering the Quality and Utility of Downscaling
Izuru Takayabu,Hideki Kanamaru,Koji Dairaku,Rasmus E. Benestad,Hans von Storch,Jens Hesselbjerg Christensen +5 more
TL;DR: Takayabu et al. as mentioned in this paper performed dynamical downscaling using regional climate models (RCMs) with global atmospheric states as the input, but there is no consensus among researchers on how to define and estimate the resolvable scale of the various climatic variables obtained by DDS.
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Future change of daily precipitation indices in Japan: A stochastic weather generator‐based bootstrap approach to provide probabilistic climate information
Toshichika Iizumi,Izuru Takayabu,Koji Dairaku,Hiroyuki Kusaka,Motoki Nishimori,Gen Sakurai,Noriko N. Ishizaki,Sachiho A. Adachi,Mikhail A. Semenov +8 more
TL;DR: In this article, a stochastic weather generator (WG)-based bootstrap approach is proposed to provide the probabilistic climate change information on mean precipitation as well as extremes, which applies a WG (i.e., LARS-WG) to daily precipitation under the present-day and future climate conditions derived from dynamical and statistical downscaling models.