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气象:2021,47(4):488-498
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2020年汛期气候预测效果评述及先兆信号分析
刘芸芸,王永光,龚振淞,娄德君
(国家气候中心,中国气象局气候研究开放实验室,北京 100081; 南京信息工程大学气象灾害预报预警与评估协同创新中心,南京 210044; 黑龙江省齐齐哈尔市气象局,齐齐哈尔 161006)
Precursory Signals of the 2020 Summer Climate in China and Evaluation of Real-Time Prediction
LIU Yunyun,WANG Yongguang,GONG Zhensong,LOU Dejun
(Laboratory for Climate Studies, National Climate Centre, CMA, Beijing 100081; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044; Qiqihar Meteorological Office, Heilongjiang Province, Qiqihar 161006)
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投稿时间:2021-02-07    修订日期:2021-03-16
中文摘要: 2020年汛期准确预测了“我国气候状况总体偏差,极端天气气候事件偏多”“涝重于旱”的总体特征,对长江中下游、黄河中上游、海河流域以及松花江流域降水较常年同期偏多和辽河流域降水偏少的预测与实况吻合。较好把握了华南前汛期雨季开始偏早、梅雨开始偏早和结束偏晚、华北雨季开始偏晚等雨季进程;但低估了长江中下游降水偏多的异常程度,对江淮西部、汉水降水明显偏多预测不准确,对四川盆地降水异常偏多也估计不足。对全国气温偏高以及我国南方高温日数偏多等主要趋势特征的预测与实况一致,对汛期台风数量较常年偏少及前期生成偏少后期生成偏多,以及在夏末至秋季较常年同期活跃的变化趋势的预测也均与实况吻合。2020年汛期预测重点考虑了前冬赤道中东太平洋弱暖水衰减的演变趋势对东亚夏季环流的滞后影响,同时热带印度洋的持续暖海温的接力作用有利于西太平洋副热带高压持续偏强偏西、菲律宾异常反气旋偏强。预测中低估了热带印度洋的异常偏暖程度及其对长江中下游、江淮地区降水的影响,导致预测中出现了较大偏差。国家气候中心模式对我国东部地区降水整体偏多的特征把握较好,这主要与模式对夏季平均的热带和副热带主要环流系统的空间分布型预测准确有关。但对季节内尺度的环流变化特征把握不好,包括中高纬欧亚地区在6—7月表现出的“两脊一槽”双阻型环流,以及7月副热带高压脊线位置持续偏南,季节进程较常年明显偏晚。
Abstract:It was accurately predicted that in the flood season of 2020, the overall characteristics of “China’s generally poor climate condition, more extreme weather and climate events” and “more serious flooding than drought”. The predictions of abundant precipitation in the middle and lower reaches of the Yangtze River Valley, the middle and upper reaches of the Yellow River Valley, the Haihe River Valley, and the Songhuajiang River Valley, and the deficit precipitation in the Liaohe River Basin, are consistent with observations. The subseasonal monsoon rainy season processes, including the earlier start of South China pre-flood season, the earlier onset and later retreat of Meiyu in Yangtze-Huaihe River Valley, and the later start of North China rainy season than normal, were also well predicted in the climate operation. However, we underestimated the abnormal degree of excessive precipitation in the middle and lower reaches of the Yangtze River, and did not accurately predict the precipitation anomaly in the western reach of the Huaihe River, the Hanshui River, and the Sichuan Basin. The predictions of the surface air temperature are in line with the observations which was warmer than normal in most of China and more high-temperature days in South China. Moreover, we had a good grasp of the tropical cyclone frequency, tracks, and active/inactive periods over the Northwest Pacific and the South China Sea in 2020. For the diagnostic analyses, the weak sea surface temperature (SST) warming in the central and eastern Pacific in pre-winter plus continuous warming in the tropical Indian Ocean were considered to be important predictors. Under the influence of the tropical SST anomalies, the western Pacific subtropical high (WPSH) tended to be stronger and further westward, and anomalous anticyclone dominated the Philippine Sea. Nevertherless, the degree of abnormal warming in the tropical Indian Ocean SST and its impact on the precipitation in the middle and lower reaches of the Yangtze-Huaihe Rivers were underestimated, which is a significant deviation in the prediction. The Climate System Model of the National Climate Centre (NCC_CSM1.1(m)) had a good performance overall in predicting the observation of more precipitation in eastern China, which was mainly related to the accurate prediction of the spatial distribution patterns of atmospheric circulation systems over the tropical and subtropical regions in summer by dynamic models. The subseasonal circulation variations, however, were not well captured, including the double blocking high circulation with “two ridges and one trough” in the mid and high latitudes of Eurasia region in June and July, the persistent southward position of WPSH ridgeline in July, with obviously late subseasonal process.
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基金项目:国家重点研发计划(2017YFA0603701)、中央引导地方科技发展专项 (ZY18C12)、中国气象局创新发展专项(CXFZ2021Z033)和中国气象局预报员专项(CMAYBY2020-164)共同资助
引用文本:
刘芸芸,王永光,龚振淞,娄德君,2021.2020年汛期气候预测效果评述及先兆信号分析[J].气象,47(4):488-498.
LIU Yunyun,WANG Yongguang,GONG Zhensong,LOU Dejun,2021.Precursory Signals of the 2020 Summer Climate in China and Evaluation of Real-Time Prediction[J].Meteor Mon,47(4):488-498.