Suppr超能文献

验证高分辨率 WRF NMM 模型在黑山复杂地形下的温度、风场和降水场。

Verification of temperature, wind and precipitation fields for the high-resolution WRF NMM model over the complex terrain of Montenegro.

机构信息

Institute of Hydrometeorology and Seismology, Podgorica, Montenegro.

NCC Montenegro, Univeristy Donja Gorica, Podgorica, Montenegro.

出版信息

Technol Health Care. 2023;31(4):1525-1539. doi: 10.3233/THC-229016.

Abstract

BACKGROUND

The necessity of setting up high-resolution models is essential to timely forecast dangerous meteorological phenomena.

OBJECTIVE

This study presents a verification of the numerical Weather Research and Forecasting non-hydrostatic Mesoscale Model (WRF NMM) for weather prediction using the High-Performance Computing (HPC) cluster over the complex relief of Montenegro.

METHODS

Verification was performed comparing WRF NMM predicted values and measured values for temperature, wind and precipitation for six Montenegrin weather stations in a five-year period using statistical parameters. The difficult task of adjusting the model over the complex Montenegrin terrain is caused by a rapid altitude change in in the coastal area, numerous karst fields, basins, river valleys and canyons, large areas of artificial lakes on a relatively small terrain.

RESULTS

Based on the obtained verification results, the results of the model vary during time of day, the season of the year, the altitude of the station for which the model results were verified, as well as the surrounding relief for them. The results show the best performance in the central region and show deviations for some metrological measures in some periods of the year.

CONCLUSION

This study can give recommendations on how to adapt a numerical model to a real situation in order to produce better weather forecast for the public.

摘要

背景

建立高分辨率模型对于及时预测危险气象现象至关重要。

目的

本研究通过使用高性能计算(HPC)集群对黑山复杂地形进行验证,展示了数值天气预报研究与预报非静力中尺度模型(WRF NMM)在天气预报中的应用。

方法

通过统计参数,将 WRF NMM 预测值与 Montenegro 的六个气象站在五年期间的温度、风和降水的测量值进行了比较。由于沿海地区海拔迅速变化、众多喀斯特地貌、盆地、河谷和峡谷、相对较小地形上的大面积人工湖等原因,模型在复杂的黑山地形上进行调整是一项艰巨的任务。

结果

根据获得的验证结果,模型的结果在一天中的时间、一年中的季节、被验证模型结果的气象站的海拔以及周围的地形等方面存在差异。结果表明,在中心区域表现最佳,并在一年中的某些时期对某些气象测量值显示出偏差。

结论

本研究可以为如何使数值模型适应实际情况以生成更好的公众天气预报提供建议。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验