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

Author:

L’Heureux Michelle L.1,Harnos Daniel S.1,Becker Emily2,Brettschneider Brian3,Chen Mingyue1,Johnson Nathaniel C.4,Kumar Arun1,Tippett Michael K.5

Affiliation:

1. NOAA/NWS/NCEP/Climate Prediction Center, College Park, Maryland;

2. University of Miami, Cooperative Institute for Marine and Atmospheric Studies, Coral Gables, Florida;

3. NOAA/National Weather Service Alaska Region Headquarters, Anchorage, Alaska;

4. NOAA/OAR/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey;

5. Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York

Abstract

Abstract Did the strong 2023–24 El Niño live up to the hype? While climate prediction is inherently probabilistic, many users compare El Niño 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 Niño 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.

Publisher

American Meteorological Society

Reference34 articles.

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