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Mechanisms driving ESM-based marine ecosystem predictive skill on the east African coast

  • Woojin Jeon
  • , Jong Yeon Park*
  • , Charles A. Stock
  • , John P. Dunne
  • , Xiaosong Yang
  • , Anthony Rosati
  • *Corresponding author for this work
  • Jeonbuk National University
  • National Oceanic and Atmospheric Administration

Research output: Contribution to journalJournal articlepeer-review

Abstract

The extension of seasonal to interannual prediction of the physical climate system to include the marine ecosystem has a great potential to inform marine resource management strategies. Along the east coast of Africa, recent findings suggest that skillful Earth system model (ESM)-based chlorophyll predictions may enable anticipation of fisheries fluctuations. The mechanisms underlying skillful chlorophyll predictions, however, were not identified, eroding confidence in potential adaptive management steps. This study demonstrates that skillful chlorophyll predictions up to two years in advance arise from the successful simulation of westward-propagating off-equatorial Rossby waves in the Indian ocean. Upwelling associated with these waves supplies nutrients to the surface layer for the large coastal areas by generating north- and southward propagating waves at the east African coast. Further analysis shows that the off-equatorial Rossby wave is initially excited by wind stress forcing caused by El Niño/Southern Oscillation-Indian Ocean teleconnections.

Original languageEnglish
Article number084004
JournalEnvironmental Research Letters
Volume17
Issue number8
DOIs
StatePublished - 2022.08.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • chlorophyll prediction
  • Earth system model
  • marine biogeochemistry

Quacquarelli Symonds(QS) Subject Topics

  • Environmental Sciences
  • Medicine
  • Engineering - Electrical & Electronic

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