Opportunities and Barriers for Skillful Subseasonal Prediction of East Asian Summer Precipitation

被引:0
|
作者
Liu, Fei [1 ]
Zhou, Jiahui [1 ,10 ]
Wang, Bin [2 ]
Leung, Jeremy Cheuk-Hin [3 ,11 ]
Chen, Deliang [4 ,12 ]
Lin, Zhongda [5 ]
Kang, In-Sik [6 ]
Chao, Qingchen [7 ]
Ke, Zongjian [7 ]
Fan, Ke [1 ]
Liu, Boqi [8 ]
Huang, Gang [5 ]
Hsu, Pang-Chi [9 ]
Dong, Wenjie [1 ]
机构
[1] School of Atmospheric Sciences, Sun Yat-Sen University, Key Laboratory of Tropical Atmosphere-Ocean System Ministry of Education, Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China
[2] Department of Atmospheric Sciences, International Pacific Research Center, University of Hawai‘i at Mānoa, Honolulu,HI, United States
[3] Guangzhou Institute of Tropical and Marine Meteorology, Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou, China
[4] Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
[5] State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
[6] State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
[7] National Climate Center, China Meteorological Administration, Beijing, China
[8] State Key Laboratory of Severe Weather (LaSW), Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China
[9] Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Inf
[10] Guangdong meteorological data center, Guangzhou, China
[11] Hunan Institute of Advanced Technology, Changsha, China
[12] Department of Earth System Sciences, Tsinghua University, Beijing, China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Atmospheric thermodynamics - Elastic waves - Precipitation (meteorology) - Weather forecasting;
D O I
10.1175/BAMS-D-24-0055.1
中图分类号
学科分类号
摘要
Accurate subseasonal (2–8weeks) prediction of monsoon precipitation is crucial for mitigating flood and heatwave disasters caused by intraseasonal variability (ISV). However, current state-of-the-art subseasonal-to-seasonal (S2S) models have limited prediction skills beyond 1 week when predicting weekly precipitation. Our findings suggest that predictability primarily arises from strong ISV events, and the prediction skills for ISV events depend on the propagation stability of preceding signals, regardless of models. This allows us to identify opportunities and barriers (OBs) within S2S models, clarifying what the models can and cannot achieve in ISV event prediction. Focusing on the complex East Asian summer monsoon (EASM), we discover that stable propagation of Eurasian and tropical atmospheric wave trains toward East Asia serves as an opportunity. This opportunity offers a 1-week leading prediction skill of up to 0.85 and skillful prediction up to 13 days ahead for 43% of all ISV events. However, the Tibetan Plateau barrier highlights the limitation of EASM predictability. Identifying these OBs will help us gain confidence in making more accurate subseasonal prediction. © 2024 American Meteorological Society.
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