AAS02-P01

会場:コンベンションホール

時間:5 月 26 日 18:15-19:30

多次元ビン法 NHM の開発
Multi-dimensional bin-microphysics model coupled with JMANHM
橋本 明弘 1∗HASHIMOTO, Akihiro1∗
11気象庁気象研究所
Meteorological Research Institute, Japan Meteorological Agency

The progresses of computer technology enable us to perform a simulation of cloud system using more and more sophisticatednumerical model. A high-end model gets to have more diversity of the physicochemical properties of aerosols and hydrometeors,and of the interaction processes between them. Development of a bin-microphysics model started in 1970’s and application tothe studies on aerosol, cloud, and precipitation increased for decades. Today, this type of model comes to represent the spectraof shape and density as well as mass of hydrometeors. (Chen and Lamb, 1994, Misumi et al. 2010, Hashino and Tripoli, 2011).
Multi-dimensional bin-microphysics model (Misumi et al. 2010) has been implemented into Japan Meteorological Agency NonHydrostatic Model (JMA-NHM) in order to simulate the microphysical processes of cloud system in detail. Program optimization
for the K computer has been done. Overview of the model and the optimization will be presented.
The multi-dimensional bin-microphysics model has been developed by a domestic community of microphysics researchers inorder to simulate cloud microphysical processes in detail. The model has three and five independent variables for representing
physicochemical properties of liquid and solid hydrometeors, respectively. Each variable is discretized into a finite number ofbins. All the discretized variables form multi-dimensional bin spaces. The properties of droplets are expressed as the spectra ofmass values of pure water and two types of aerosol in the bin space. For solid hydrometeors, aspect ratio and volume are also
considered as constituent parameters of bin space.
Program optimization has been done in terms of the process parallelization in the bin space in order to reduce the memory
requirements for a process, since the single node memory is 16 GB in the K computer and the total memory requirement of themodel easily exceeds the limit. In addition, the program has been modified for loop blocking and dimension reduction of work
array to improve memory utilization. Performance investigation is going on for large-scale parallel computation with the model.
Acknowledgement
This study is supported by the High Performance Computing Infrastructure (HPCI) Strategic Program for Innovative Research(SPIRE) under the management of the Ministry of Education, Culture, Sports, Science and Technology.
References
Chen, J.-P., and D. Lamb, 1994: Simulation of cloud microphysical and chemical processes using a multicomponent framework. Part I: Description of the microphysical model. J. Atmos. Sci., 51, 2613?2630.
Hashino, T., and G. J. Tripoli, 2011: The spectral ice habit prediction system (SHIPS). part IV: Box model simulations of thehabit-dependent aggregation process. J. Atmos. Sci., 68, 1142-1161.
Misumi, R., A. Hashimoto, M. Murakami, N. Kuba, N. Orikasa, A. Saito, T. Tajiri, K. Yamashita and J.-P. Chen, 2010: Microphysical structure of a developing convective snow cloud simulated by an improved version of the multi-dimensional bin model.
Atmos. Sci. Let., 11, 186-191. doi:10.1002/asl.268
キーワード: 多次元ビン法雲微物理過程, 非静力学領域モデル
Keywords: Multi-dimensional bin-microphysics, Non-hydrostatic regional model1/1