Clustering Anomalous Circulations and Their Implications on the Prediction of Minimum 2-m Air Temperature over Northeastern China during Winter

被引:0
作者
Zhou, Yang [1 ]
Liu, Binshuo [1 ]
Lei, Boyang [1 ]
Zhao, Qifan [1 ]
Sun, Shanlei [1 ]
Chen, Haishan [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Key Lab Meteorol Disaster, Minist Educ, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
Climate prediction; Model evaluation/performance; Subseasonal variability; Clustering; MADDEN-JULIAN OSCILLATION; ARCTIC SEA-ICE; CLIMATE IMPACTS; VARIABILITY; PATTERNS; RAINFALL;
D O I
10.1175/MWR-D-24-0014.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The ERA5 reanalysis during cold months (November-March) of 1979-2020 was used for determining four cluster centroids through the k-means for classifying regional anomalies of the daily geopotential height at 500 hPa (H500) over northeastern China. Empirical orthogonal function (EOF) was used to reduce dimensionality. Four clusters were linked to the EOF patterns with clear meteorological meanings, which are associated with the evolution of ridges and troughs over northeastern China. Those systems relate to warm and cold advections at 850 hPa. In each H500 cluster, the advection is the major contributor leading to temperature changes at 850 hPa, which significantly fi cantly relates to the changes and anomalies of daily minimum air temperature at 2 m (T2min). Furthermore, the jet activities over Asia relate to more or less occurrence of specific fi c H500 clusters in jet phases. This is because anomalous westerlies are generally in favor of positive anomalies of the vorticity tendency at 500 hPa. For the reforecasts during 2004-19 in the Chinese Meteorology Administration (CMA) S2S model, the hit rates above 50% for all the H500 clusters are within 9.5 days, which are in between those for the fi rst two and the last two clusters. The correct prediction of H500 anomalies improves the T2min prediction up to 12 days, compared with 8 days for the incorrect one. The good prediction of the jet activities leads to a more accurate prediction of H500 anomalies. Therefore, improvement of the model prediction of jet activities and H500 anomalies will lead to better prediction of winter weather near the ground over northeastern China.
引用
收藏
页码:2287 / 2308
页数:22
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