Application of a Monte Carlo integration method to collision and coagulation growth processes of hydrometeors in a bin-type model
Application of a Monte Carlo integration method to collision and coagulation growth processes of hydrometeors in a bin-type model
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DOI：
10.1029/2008jd011247
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发表时间：
2009-05
影响因子：
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通讯作者：
Yousuke Sato;T. Nakajima;Kentaroh Suzuki;T. Iguchi
中科院分区：
文献类型：
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作者：
Yousuke Sato;T. Nakajima;Kentaroh Suzuki;T. Iguchi
[1]为了提高计算效率，开发了计算水成物碰撞-混凝生长过程的新算法，并将其实现到bin云微物理模型中。碰撞凝聚生长的计算是盒型云微物理计算的瓶颈，需要耗费大量的计算时间。过程效率的提高可以显著减少计算时间。本文提出了一种新的随机算法，并将其应用于非流体静力云模型的碰撞-凝聚生长过程中。仿真结果表明，该算法的计算时间缩短了90%左右。我们验证了新方案的模拟结果的误差范围比传统箱型模型和真实大气的内部变率要小得多。新制定的方案已在日本气象厅的中尺度业务模式中实施。在数值天气预报模拟中，对降水场进行了较精确的模拟。
[1] New algorithms for calculating the collision-coagulation growth process of hydrometeors were developed and implemented into a bin cloud microphysics model in order to improve its computational efficiency. Computation of collision-coagulation growth is a bottleneck in the bin-type cloud microphysics calculation that takes a large amount of computing time. Improvement in the efficiency of the process can significantly reduce computing time. In this study, a new stochastic algorithm was developed and implemented into the collision-coagulation growth process of a nonhydrostatic cloud model. Simulations showed that the computing time was reduced by about 90%. We verified that the error range of the simulation results from the new scheme is much smaller than the internal variability involved the traditional bin-type model and also in the real atmosphere. The newly developed scheme was implemented into the mesoscale operational model of the Japan Meteorological Agency. The precipitation field was accurately simulated in a numerical weather prediction simulation.