Subseasonal Potential Predictability of Horizontal Water Vapor Transport and Precipitation Extremes in the North Pacific

被引:0
作者
Higgins, Timothy B. [1 ]
Subramanian, Aneesh C. [1 ]
Chapman, Will E. [2 ]
Lavers, David A. [3 ]
Winters, Andrew C. [1 ]
机构
[1] Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA
[2] Natl Ctr Atmospher Res, Boulder, CO USA
[3] European Ctr Medium Range Weather Forecasting, Reading, England
基金
美国国家科学基金会;
关键词
Atmospheric river; Forecast veri fi cation/skill; Hindcasts; Probability forecasts/models/distribution; Seasonal forecasting; ATMOSPHERIC RIVERS; CALIFORNIA DROUGHT; CLIMATE-CHANGE; SCALE; TELECONNECTIONS; VARIABILITY; PATTERNS; STRENGTH; EVENTS; FLOW;
D O I
10.1175/WAF-D-23-0170.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Accurate forecasts of weather conditions have the potential to mitigate the social and economic damages they cause. To make informed decisions based on forecasts, it is important to determine the extent to which they could be skillful. This study focuses on subseasonal forecasts out to a lead time of four weeks. We examine the differences between the potential predictability, which is computed under the assumption of a " perfect model, " of integrated vapor transport (IVT) and precipitation under extreme conditions in subseasonal forecasts across the northeast Paci fi c. Our results demonstrate signi fi cant forecast skill of extreme IVT and precipitation events (exceeding the 90th percentile) into week 4 for speci fi c areas, particularly when anomalously wet conditions are observed in the true model state. This forecast skill during weeks 3 and 4 is closely associated with a zonal extension of the North Paci fi c jet. These fi ndings of the source of skillful subseasonal forecasts over the U.S. West Coast could have implications for water management in these regions susceptible to drought and fl ooding extremes. Additionally, they may offer valuable insights for governments and industries on the U.S. West Coast seeking to make informed decisions based on extended weather prediction.
引用
收藏
页码:833 / 846
页数:14
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