日本地球惑星科学連合2022年大会

講演情報

[E] 口頭発表

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-AS05] スーパーコンピュータを用いた気象・気候・環境科学

2022年5月23日(月) 09:00 〜 10:30 106 (幕張メッセ国際会議場)

コンビーナ:八代 尚(国立研究開発法人国立環境研究所)、コンビーナ:川畑 拓矢(気象研究所)、宮川 知己(東京大学 大気海洋研究所)、コンビーナ:寺崎 康児(理化学研究所計算科学研究センター)、座長:宮川 知己(東京大学 大気海洋研究所)

10:15 〜 10:30

[AAS05-06] Spatial-scale Characteristics of a Three-dimensional Cloud-resolving Radiation Budget based on Monte Carlo Radiative Transfer Simulations

*太田 芳文1関口 美保2佐藤 陽祐3 (1.気象庁気象研究所、2.東京海洋大学、3.北海道大学大学院理学研究院)

キーワード:雲、三次元太陽放射、放射エネルギー収支、空間解像度

A three-dimensional (3D) atmospheric radiative transfer (RT) model based on the Monte Carlo method was developed to evaluate the cloud-resolving radiation budget. The simulation data of stratocumulus (open and closed cell types) stimulated by a large eddy simulation model were used to obtain a detailed cloud field dataset at different spatial resolutions between 100 m and 1 km orders. The combination of the 3D RT model and LES data is a simple and practical way to evaluate the radiative energy budget in a cloud-resolving system because LES data are available in spatial continuity. Moreover, LES data produced by high performance computation are useful because of the large computational domain and the finer spatial resolution.
By applying the 3D RT model offline to a multiscale cloud field dataset, the 3D distribution and magnitude of the solar radiative heating rate were estimated for each spatial resolution. The results showed that the magnitude of the local solar radiative heating effect significantly changes in the range of spatial resolution between 100 m and 1 km. The solar radiative heating rate can reach 6 K/hr locally in the case of the spatial resolution at 100-m order, whereas it is approximately 1 K/hr at most in the case of the spatial resolution at 1-km order. However, the domain-averaged values of the solar radiative heating rates were almost invariant at different spatial resolutions. The results indicate that a radiation scheme for the cloud-resolving model needs to be constructed while considering spatial resolutions, along with cloud parameterization.