Impact of cumulus parameterization schemes on summer extreme precipitation simulation in the Yellow River Basin: the 2018 case

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES
Shihao Chen, Xing Lv, Baohui Men
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引用次数: 0

Abstract

This study uses the Weather Research and Forecasting (WRF) model with five different cumulus parameterization schemes (CPSs) at a resolution of 30 km to simulate the summer (June, July, and August) extreme precipitation event in the Yellow River Basin (YRB) in 2018. The goal of this study is to investigate the sensitivity of extreme precipitation simulation in the YRB during the summer of 2018 to CPSs in the WRF model. The results show that all five CPSs were capable of approximately simulating the direction of the rain bands in the YRB during the summer of 2018, but the simulation results of all CPSs tended to overestimate the value of precipitation amount. Upon further evaluation using seven different methods, it was found that the Betts–Miller–Janjic (BMJ) scheme provided the best simulation of this event. The complex orography of the YRB has a significant influence on moisture transport. The WRF model may have overestimated the moisture flux, which could have contributed to the overestimation of precipitation. The summer extreme precipitation event in the YRB during 2018 may have been influenced by an influx of excessive moisture from the western boundary.
积云参数化方案对黄河流域夏季极端降水模拟的影响:2018 年案例
本研究使用分辨率为 30 千米的天气研究与预报(WRF)模式,采用五种不同的积云参数化方案(CPSs),模拟了 2018 年黄河流域夏季(6 月、7 月和 8 月)极端降水事件。本研究旨在探讨 2018 年夏季黄河流域极端降水模拟对 WRF 模型中 CPS 的敏感性。结果表明,五种 CPS 均能近似模拟 2018 年夏季 YRB 的雨带方向,但所有 CPS 的模拟结果均有高估降水量值的倾向。在使用七种不同方法进行进一步评估后发现,Betts-Miller-Janjic(BMJ)方案对此次事件的模拟效果最佳。YRB 的复杂地形对水汽输送有很大影响。WRF 模式可能高估了水汽通量,从而导致降水量被高估。2018 年期间,YRB 的夏季极端降水事件可能受到了来自西部边界的过量水汽涌入的影响。
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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
168
审稿时长
>12 weeks
期刊介绍: Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.
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