Japan Geoscience Union Meeting 2022

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS05] Weather, Climate, and Environmental Science Studies using High-Performance Computing

Mon. May 23, 2022 9:00 AM - 10:30 AM 106 (International Conference Hall, Makuhari Messe)

convener:Hisashi Yashiro(National Institute for Environmental Studies), convener:Takuya Kawabata(Meteorological Research Institute), Tomoki Miyakawa(Atmosphere and Ocean Research Institute, The University of Tokyo), convener:Koji Terasaki(RIKEN Center for Computational Science), Chairperson:Tomoki Miyakawa(Atmosphere and Ocean Research Institute, The University of Tokyo)

10:15 AM - 10:30 AM

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

*Yoshifumi Ota1, Miho Sekiguchi2, Yousuke Sato3 (1.Meteorological Research Institute, 2.Tokyo University of Marine Science and Technology, 3.Faculty of Science, Hokkaido University)

Keywords:Cloud, 3D solar radiation, radiative energy budget, spatial resolution

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.