Survey Report:
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
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.
and Hirotaka Matsuda, “Dynamical Downscaling for Assessment of the Climate in Ghana,” J. Disaster Res., Vol.9, No.4, pp. 412-421, 2014.
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