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JDR Vol.9 No.4 pp. 412-421
(2014)
doi: 10.20965/jdr.2014.p0412

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Dynamical Downscaling for Assessment of the Climate in Ghana

Masaru Inatsu*1, Tsubasa Nakayama*1, Yoshie Maeda*2,*3,
and Hirotaka Matsuda*3,*4

*1Graduate School of Science, Hokkaido University, N10W8, Kita, Sapporo 060-0810, Japan

*2Japan Weather Association, 3-1-1 Higashi-Ikebukuro, Toshima, Tokyo 170-6055, Japan

*3Integrated Research System for Sustainability Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8654, Japan

*4Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan

Received:
October 18, 2013
Accepted:
May 7, 2014
Published:
August 1, 2014
Keywords:
rainfall, regional model, dynamical downscaling, climate change
Abstract

Dynamical downscaling (DDS), in which a regional atmospheric model (RAM) experiment nested into coarser-resolution data provides a spatio-temporal fine dataset for a particular region, was performed to assess the present climate in Ghana. The DDS successfully evaluated realistic seasonal march and inter-annual variability in rainfall, in comparison with gauge and satellite observation. The DDS also indicated that land-lake and land-sea circulation interacted with the West African monsoon likely characterized the local climate in Ghana.

Cite this article as:
Masaru Inatsu, Tsubasa Nakayama, Yoshie Maeda, and
and Hirotaka Matsuda, “Dynamical Downscaling for Assessment of the Climate in Ghana,” J. Disaster Res., Vol.9, No.4, pp. 412-421, 2014.
Data files:
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