中复杂度大气研究模式在河南 21.7 暴雨预报中的应用

IF 2.5 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES
Atmosphere Pub Date : 2024-08-12 DOI:10.3390/atmos15080959
Xingbao Wang, Qun Xu, Xiajun Deng, Hongjie Zhang, Qianhong Tang, Tingting Zhou, Fengcai Qi, Wenwu Peng
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引用次数: 0

摘要

为了提高强降水预报的准确性,对河南 21.7 暴雨进行了再预报。重新预报采用了中等复杂程度大气研究模式(ICAR)和水平网格间距为 1 公里的天气研究和预报模式(WRF)。结果表明,ICAR 预测的强降水主要聚集在山区的迎风坡。相比之下,WRF 预报的一些强降水则在山脉之外。ICAR 与 WRF 的主要区别在于 ICAR 排除了 "物理过程对风的影响以及可分辨的小尺度扰动之间的非线性相互作用"(简称为 "物理-动力相互作用")。因此,山区以外的强降水归因于 "物理-动力相互作用"。此外,山区迎风坡的强降水通常与观测结果一致,而山区以外的强降水则很少与观测结果一致。因此,山地迎风坡(山地以外)的强降水可预测性更高(更低)。基于这些发现和对强降水可预测性的理论思考,提出了利用 ICAR 预报来调整 WRF 预报的方案,从而提高强降水的预报精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of an Intermediate Complexity Atmospheric Research Model in the Forecasting of the Henan 21.7 Rainstorm
To improve the forecast accuracy of heavy precipitation, re-forecasts are conducted for the Henan 21.7 rainstorm. The Intermediate Complexity Atmospheric Research Model (ICAR) and the Weather Research and Forecasting Model (WRF) with a 1 km horizontal grid spacing are used for the re-forecasts. The results indicate that heavy precipitation forecasted by ICAR primarily accumulates on the windward slopes of the mountains. In contrast, some severe precipitation forecasted by WRF is beyond the mountains. The main difference between ICAR and WRF is that ICAR excludes the “impacts of physical processes on winds and the nonlinear interactions between the small resolvable-scale disturbances” (briefed as the “physical–dynamical interactions”). Thus, heavy precipitation beyond the mountains is attributed to the “physical–dynamical interactions”. Furthermore, severe precipitation on the windward slopes of the mountains typically aligns with the observations, whereas heavy rainfall beyond the mountains seldom matches the observations. Therefore, severe precipitation on the windward slopes of (beyond) the mountains is more (less) predictable. Based on these findings and theoretical thinking about the predictability of severe precipitation, a scheme of using the ICAR’s prediction to adjust the WRF’s prediction is proposed, thereby improving the forecast accuracy of heavy rainfall.
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来源期刊
Atmosphere
Atmosphere METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.60
自引率
13.80%
发文量
1769
审稿时长
1 months
期刊介绍: Atmosphere (ISSN 2073-4433) is an international and cross-disciplinary scholarly journal of scientific studies related to the atmosphere. It publishes reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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