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The intraseasonal surface air temperature reversal and its predictability analysis in 2021/2022 winter over China
被引:2
|作者:
Yang, Hanwei
[1
]
Ma, Yue
[2
]
Gong, Zhiqiang
[3
,4
]
Feng, Guolin
[3
,4
]
机构:
[1] Shanghai Climate Ctr, Key Lab Cities Mitigat & Adaptat Climate Change Sh, Shanghai 200030, Peoples R China
[2] Shanghai Jiading Dist Meteorol Bur, Shanghai 201800, Peoples R China
[3] China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing 100081, Peoples R China
[4] China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing 100081, Peoples R China
基金:
中国国家自然科学基金;
上海市自然科学基金;
关键词:
intraseasonal reversal;
predictability;
seasonal prediction system;
surface air temperature;
winter;
ARCTIC OSCILLATION;
BLOCKING;
VARIABILITY;
MONSOON;
D O I:
10.1002/joc.8068
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
In 2021/2022 winter, an intraseasonal surface air temperature (SAT) reversal occurred in China, shifting from regional warm to cold phase in late January 2022. The intraseasonal variations of winter SAT in China are tightly connected with 500 hPa potential height. In particular, the Arctic Oscillation (AO) positive phase is diagnosed to be contributing to the SAT reversal. Under its influence, the intraseasonal build-up and collapse of blockings over Urals Mountain led to the cold surges in February 2022. Seasonal prediction systems (SPSs) such as NCEP_CFSv2, EC_SYSTEM5 and BCC_CSM1.1 are assessed to have poor predictability in this SAT reversal and similar historical events, owing to not only the poor skills in winter SAT predictions but also the integral inertia in SPSs. Prediction skill only increases as the forecasting time approaches, owing to initial values. Besides, the SPSs can simulate the physical process of the influence on SAT from circulation. The poor predictability is attributed to the poor prediction skills in mid-high latitude circulation pattern and potential height over China.
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页码:3977 / 3993
页数:17
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