Midsummer precipitation prediction over eastern China by the dynamic downscaling method

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Science Letters Pub Date : 2024-04-14 DOI:10.1002/asl.1238
Zhong Kai Bo, Li Juan Chen, Wei Ping Xu, Wei Zong Gu
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Abstract

This study assesses the midsummer precipitation prediction over eastern China by the dynamic downscaling method. Based on the Climate Forecast System version 2 of the National Centers for Environmental Prediction and the Weather Research and Forecasting Model, the prediction performance of global and regional models on the July precipitation over eastern China is further analyzed by hindcast experiments from 1982 to 2010 and prediction experiments from 2011 to 2021. The results suggest that the regional model forced by the global model can noticeably improve the prediction skill for precipitation in eastern China, especially in the region from the South of North China to the Yangtze River Basin, referred as the northern China in this paper. In addition, we perform a diagnostic analysis of the reason for the improvement of the model prediction skill. The results indicate that the high resolution of the regional model and the refinement of physical process parameterizations contribute to improving the simulation ability for the East Asian atmospheric circulation pattern, heat flux, especially for the meridional teleconnection pattern in East Asia and the sensible heat flux in the northern China, thus further improving precipitation prediction.

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用动态降尺度方法预测中国东部的仲夏降水量
本研究采用动态降尺度方法对中国东部地区的盛夏降水预测进行了评估。基于美国国家环境预报中心气候预报系统第二版和天气研究与预报模式,通过1982-2010年的后报试验和2011-2021年的预报试验,进一步分析了全球模式和区域模式对中国东部7月降水的预报性能。结果表明,由全球模式强迫的区域模式可以明显改善华东地区的降水预测技能,尤其是华北南部至长江流域(本文中称为华北地区)的降水预测技能。此外,我们还对模式预报技能提高的原因进行了诊断分析。结果表明,区域模式的高分辨率和物理过程参数化的细化有助于提高对东亚大气环流模式、热通量,特别是对东亚经向遥联系模式和华北地区显热通量的模拟能力,从而进一步改善降水预测。
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来源期刊
Atmospheric Science Letters
Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.90
自引率
3.30%
发文量
73
审稿时长
>12 weeks
期刊介绍: Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.
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