JpGU-AGU Joint Meeting 2017

講演情報

[EE] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS02] [EE] Cloud-Resolving Model Simulations for Cloud-Related Processes in Climate and Weather Studies

2017年5月22日(月) 10:45 〜 12:15 ポスター会場 (国際展示場 7ホール)

コンビーナ:Toshi Matsui(NASA GSFC & ESSIC UMD)、佐藤 正樹(東京大学大気海洋研究所)、Wei-Kuo Tao(Senior Scientist)

[AAS02-P09] The radiative impact of precipitating ice in a global nonhydrostatic model

*Chen Ying-Wen1清木 達也1小玉 知央1佐藤 正樹2,1野田 曉1 (1.独立行政法人 海洋研究開発機構、2.東京大学 大気海洋研究所)

キーワード:simulated precipitating ice in a high resolution model, longwave radiative impact by precipitating ice

This study examines the impact of precipitating ice (snow and graupel) on the longwave (LW) radiative flux by evaluating the output data from a global cloud-system resolving model. An offline radiation model based on the radiation transfer code, MSTRNX (Sekiguchi and Nakajima 2008) is employed, and the precipitating ice data, simulation results from a nonhydrostatic icosahedral model (NICAM, Satoh et al. 2014) with a double-moment cloud microphysics scheme with six-water categories (rain, cloud waver, cloud ice, snow, and graupel; Seiki and Nakajima 2014), are used. The horizontal resolution of model output data is approximately 14-km, the cloud process is solved explicitly, and the analyzed period is one boreal summer. Results show that the LW radiative flux in the tropical region is sensitive to the ice hydrometeor properties, and the snow contributing impact reaches a maximum about 2 W m-2 in the Indian Ocean region, while the average is 1.2 W m-2 in the tropics. Though there is a gap between our estimation and satellite borne estimations (5-10 W m-2; Waliser et al. 2011, Li et al. 2014), both suggest that the LW radiative impact by precipitating ice ignored in most general circulation models, is non-negligible. Specifically, the positive bias in the LW radiative flux in the tropical region appears in GCMs can be reduced by taking the interaction between the precipitating ice and the radiation field into account.