Strong El Niño Events Lead to Robust Multi‐Year ENSO Predictability

Details

• Journal Title:
  Geophysical Research Letters
• Personal Author:
  Lenssen, N. ; DiNezio, P. ; Goddard, L. ; Deser, C. ; Kushnir, Y. ; Mason, S. J. ; Newman, M. ; Okumura, Y.
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; PSL (Physical Sciences Laboratory)
• Description:
  The El Niño‐Southern Oscillation (ENSO) phenomenon—the dominant source of climate variability on seasonal to multi‐year timescales—is predictable a few seasons in advance. Forecast skill at longer multi‐year timescales has been found in a few models and forecast systems, but the robustness of this predictability across models has not been firmly established owing to the cost of running dynamical model predictions at longer lead times. In this study, we use a massive collection of multi‐model hindcasts performed using model analogs to show that multi‐year ENSO predictability is robust across models and arises predominantly due to skillful prediction of multi‐year La Nina events following strong El Niño events.
• Source:
  Geophysical Research Letters, 51(12)
• DOI:
  https://doi.org/10.1029/2023gl106988
• ISSN:
  0094-8276 ; 1944-8007
• Format:
  pdf
• Publisher:
  American Geophysical Union (AGU)
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by-nc-nd/4.0/
• Rights Information:
  CC BY-NC-ND
• Compliance:
  Library
• Main Document Checksum:
  urn:sha-512:392856e3d2316a02620bbf13f06685d29535a772cb247ad0449b310f860fcf9609def6c09bbe8ea7424a5685f72da44f31518be41b2f3802b1310d814b447b06
• Download URL:
  https://repository.library.noaa.gov/view/noaa/68604/noaa_68604_DS1.pdf
• File Type:
  [PDF - 1007.84 KB ]