本文主要研究内容
作者钟水新,杨帅,郭春伢,陈子通（2019）在《CAPABILITIES AND LIMITATIONS OF GRAPES SIMULATIONS OF EXTREME PRECIPITATION IN THE WARM SECTOR OVER A COMPLEX OROGRAPHY》一文中研究指出：A comprehensive observational study on a warm sector torrential rain(WSTR) on 20 May 2016 over south China is presented with a pioneering examination of simulation capabilities based on the Global/Regional Assimilation and Prediction System for Tropical Mesoscale Model(GRAPES_TMM). The results show that the meso-scale convective boundary formed between north wind from mountainous areas and the south wind from plain regions as well as the cold outflows boundary both contribute to the convections over Xinyi, and the convections were blocked and stayed stagnant in the trumpet-shaped topography for about 8 hours which eventually caused the torrential rains.Comparative verifications of the observational studies by simulations showed that GRAPES_TMM had better estimations of large-scale frontal precipitation than the local warm-sector torrential rains. The simulations of local torrential rains in the warm sector showed strong biases in precipitation location and amount. GRAPES_TMM also showed overestimated surface winds and a faster moving speed bias, as well as an overall underestimation of the nocturnal surface temperature during the WSTR. This work may lead to several prospective researches of its model improvements on model physics such as land surface process and PBL parameterization.
Abstract
A comprehensive observational study on a warm sector torrential rain(WSTR) on 20 May 2016 over south China is presented with a pioneering examination of simulation capabilities based on the Global/Regional Assimilation and Prediction System for Tropical Mesoscale Model(GRAPES_TMM). The results show that the meso-scale convective boundary formed between north wind from mountainous areas and the south wind from plain regions as well as the cold outflows boundary both contribute to the convections over Xinyi, and the convections were blocked and stayed stagnant in the trumpet-shaped topography for about 8 hours which eventually caused the torrential rains.Comparative verifications of the observational studies by simulations showed that GRAPES_TMM had better estimations of large-scale frontal precipitation than the local warm-sector torrential rains. The simulations of local torrential rains in the warm sector showed strong biases in precipitation location and amount. GRAPES_TMM also showed overestimated surface winds and a faster moving speed bias, as well as an overall underestimation of the nocturnal surface temperature during the WSTR. This work may lead to several prospective researches of its model improvements on model physics such as land surface process and PBL parameterization.
论文参考文献
论文详细介绍
论文作者分别是来自Journal of Tropical Meteorology的钟水新,杨帅,郭春伢,陈子通，发表于刊物Journal of Tropical Meteorology2019年02期论文，是一篇关于,Journal of Tropical Meteorology2019年02期论文的文章。本文可供学术参考使用，各位学者可以免费参考阅读下载，文章观点不代表本站观点，资料来自Journal of Tropical Meteorology2019年02期论文网站，若本站收录的文献无意侵犯了您的著作版权，请联系我们删除。