メソスケール気象モデルを用いた九州地域の通年シミュレーションとその統計的評価

概要

論文の詳細を見る
High resolution meso-scale meteorological model by two way nesting technique was applied to simulate the annual variation of meteorological fields over the Kyushu Region. As a mesoscale meteorological model, RAMS (Regional Atmospheric Modeling System) was used and all of cloud microphysical processes for precipitation, cumulus convection, boundary-layer turbulence and land-surface processes options were used for the simulation. Model results were intensively examined with the Japan Meteorological Agency’s observation data within Kyushu area. Statistics of the mean, standard deviation, RMSD, MBE, Skill score and Threat score were used to evaluate the agreements between observation and model fields. It was found that the model results explained the daily and seasonal variations of wind, temperature, relative humidity and precipitation field very well. However, model precipitation field underestimated the precipitation amount especially during the summer season, and overestimate the summer time temperature at the Pacific Ocean side stations. Overall agreement of annual mean wind speed and temperature was within the error range of ±9 % and ±4%, respectively.
九州大学の論文