2021 年中国西部秋季极端降雨事件的亚季节可预测性

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Research Pub Date : 2024-12-04 DOI:10.1016/j.atmosres.2024.107829
Han Zhang, Ke Fan
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引用次数: 0

摘要

2021年,中国西部地区出现了一次异常强降水,打破了1961年以来的历史降水记录。降水中心有明显的北移。利用ECMWF(欧洲中期天气预报中心)和CMA(中国气象局)S2S(亚季节到季节预测)项目模式的实时预报数据,研究了ARWC极端事件及其相关系统的亚季节可预测性,为秋季极端降水的预报提供了理论依据。结果表明,两种模式均低估了观测到的异常降水,但ECMWF能够提前8 d预测事件不同阶段的空间分布和强度,而CMA模式的预测能力较差。ECMWF和CMA分别提前8天和5天成功预报了降水的季内北移。进一步的分析表明,ECMWF和CMA可以在1 ~ 10天的时间内重现与EAWJ季节内变化相关的中高纬波型,有助于更好地预测降雨的季节内北移。它们对热带对流的预测能力存在差异,ECMWF更准确地提前1-22天再现了印度洋-太平洋暖池和太平洋中东部的异常偶极子热带对流活动,以及海洋大陆上空对流最终减弱的特征。与CMA模式相比,这使得ECMWF模式对2021年极端ARWC两个时期的预测能力更高,从而更好地预测了WPSH的季节内变化。
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Subseasonal predictability of the extreme autumn rainfall event in West China in 2021
In 2021, an exceptionally intense autumn rainfall event occurred in West China (WC), breaking historical precipitation records since 1961. A notable northward migration of rainfall center was observed during the season. This study utilized real-time forecast data from the ECMWF (European Centre for Medium-Range Weather Forecasts) and CMA (China Meteorological Administration) models under the S2S (Subseasonal-to-Seasonal Prediction) project to examine the subseasonal predictability of the extreme ARWC event and its associated systems, providing a theoretical basis for forecasting extreme autumn rainfall. The results showed that both models underestimated the observed anomalous precipitation, however, ECMWF was able to predict the spatial distribution and intensity of different phases of the event up to 8 days in advance, while the CMA model exhibited poor skill. ECMWF and CMA both successfully predicted the intraseasonal northward migration of the rainfall 8 days and 5 days in advance, respectively. Further analysis revealed that ECMWF and CMA can reproduce the mid–high-latitude wave patterns associated with the intraseasonal variations in the EAWJ at lead times of 1–10 days, contributing to better predictions of the intraseasonal northward migration of the rainfall. Their ability to predict the tropical convection differed, with ECMWF more accurately reproducing the anomalous dipole tropical convection activities over the Indo-Pacific Warm Pool and the central-eastern Pacific 1–22 days in advance, and the characteristic that the convection eventually weakens over the maritime continent. This led to better predictions of the intraseasonal variations of the WPSH, giving the ECMWF model a higher forecasting skill for both periods of the extreme ARWC in 2021 compared to the CMA model.
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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