How Well Do Seasonal Climate Anomalies Match Expected El Niño-Southern Oscillation (ENSO) Impacts?

被引:3
|
作者
L'Heureux, Michelle L. [1 ]
Harnos, Daniel S. [1 ]
Becker, Emily [2 ]
Brettschneider, Brian [3 ]
Chen, Mingyue [1 ]
Johnson, Nathaniel C. [4 ]
Kumar, Arun [1 ]
Tippett, Michael K. [5 ]
机构
[1] NOAA, NWS, NCEP, Climate Predict Ctr, College Pk, MD 20740 USA
[2] Univ Miami, Cooperat Inst Marine & Atmospher Studies, Coral Gables, FL USA
[3] NOAA, Natl Weather Serv Alaska Reg Headquarters, Alaska Reg Headquarters, Anchorage, AK USA
[4] NOAA, Geophys Fluid Dynam Lab, OAR, Princeton, NJ USA
[5] Columbia Univ, Dept Appl Phys & Appl Math, New York, NY USA
关键词
North America; ENSO; Regression analysis; Climate variability; Seasonal variability; NORTH-AMERICA; NINO; PRECIPITATION; PREDICTABILITY; TEMPERATURE; VARIABILITY; REGION;
D O I
10.1175/BAMS-D-23-0252.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Did the strong 2023-24 El Ni & ntilde;o live up to the hype? While climate prediction is inherently probabilistic, many users compare El Ni & ntilde;o events against a deterministic map of expected impacts (e.g., wetter or drier regions). Here, using this event as a guide, we show that no El Ni & ntilde;o perfectly matches the ideal image and that observed anomalies will only partially match what was anticipated. In fact, the degree to which the climate anomalies match the expected ENSO impacts tends to scale with the strength of the event. The 2023-24 event generally matched well with ENSO expectations around the United States. However, this will not always be the case, as the analysis shows larger deviations from the historical ENSO pattern of impacts are commonplace, with some climate variables more prone to inconsistencies (e.g., temperature) than others (e.g., precipitation). Users should incorporate this inherent uncertainty in their risk and decision-making analysis.
引用
收藏
页码:E1542 / E1551
页数:10
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