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Development of Nonhydrostatic numerical model : I. Basic framework

非静水力数值模型的开发：一、基本框架

基本信息

批准号：
12440124
负责人：
IWASAKI Toshiki
金额：
$ 8.96万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2003
项目状态：
已结题

项目摘要

Accurate and multi-purpose nonhydrostatic numerical model systems will be very important infrastructures for the next generation of meteorology. The project aimed to establish the research community to develop the nonhydrostatic model system. For this purpose, we(1) promoted meteorological researches based on nonhydrostatic numerical model,(2) developed dynamical core of nonhydrostatic numerical models and(3) developed parameterization schemes for nonhydrostatic numerical models.The standard model, MRI/JMA nonhydrostatic model, was distributed to many scientists. Now, we are making the user's guide of this model. We reviewed the current status and future perspectives of nonhydrostatic models to cultivate this field and held workshop to exchange information every year.Simulation of flows associated with steep mountains is an important subject for nonhydrostatic model. We proposed standard experiments of mountain waves for intercomparison among models. This was very helpful for validation of model dynamical core and its improvement.There were several activities of development of physics parameterization scheme. We developed a procedure of cloud-resolving model to study parameterization schemes. Among them, we made research on cloud radiation -cloud formation feed back. The low-resolution model showed erroneously large feedback without considering subgrid-scale inhomogeneity. Also, we have improved a parameterization scheme for boundary layer and initialization procedures for heavy precipitation.

高精度、多用途的非静力数值模式系统将是下一代气象学的重要基础设施。该项目旨在建立研究团体，以开发非流体静力学模型系统。为此，我们（1）推动了基于非静力数值模式的气象研究，（2）发展了非静力数值模式的动力核心，（3）发展了非静力数值模式的参数化方案，并将标准模式MRI/JMA非静力模式分发给许多科学家。现在，我们正在制作这个模型的用户指南。我们回顾了非静力模式的现状和未来发展，以培养这一领域，并举行研讨会，每年交换信息。模拟与陡峭的山脉相关的流动是一个重要的课题，非静力模式。我们提出了标准的山波模型之间的相互比较实验。这对模式动力学核心的验证和改进有很大的帮助。我们开发了一个云分辨模式的程序来研究参数化方案。其中，对云辐射-云形成反馈进行了研究。低分辨率模型错误地显示了大反馈，而不考虑亚网格尺度的不均匀性。此外，我们还改进了边界层参数化方案和强降水初始化程序。