An early-warning indicator for Amazon droughts exclusively based on tropical Atlantic sea surface temperatures

Catrin Ciemer, Lars Rehm, Jürgen Kurths, Reik V. Donner, Ricarda Winkelmann, Niklas Boers

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Droughts in tropical South America have an imminent and severe impact on the Amazon rainforest and affect the livelihoods of millions of people. Extremely dry conditions in Amazonia have been previously linked to sea surface temperature (SST) anomalies in the adjacent tropical oceans. Although the sources and impacts of such droughts have been widely studied, establishing reliable multi-year lead statistical forecasts of their occurrence is still an ongoing challenge. Here, we further investigate the relationship between SST and rainfall anomalies using a complex network approach. We identify four ocean regions which exhibit the strongest overall SST correlations with central Amazon rainfall, including two particularly prominent regions in the northern and southern tropical Atlantic. Based on the time-dependent correlation between SST anomalies in these two regions alone, we establish a new early-warning method for droughts in the central Amazon basin and demonstrate its robustness in hindcasting past major drought events with lead-times up to 18 months.

Original languageEnglish
Article number094087
JournalEnvironmental Research Letters
Volume15
Issue number9
DOIs
StatePublished - Sep 2020
Externally publishedYes

Keywords

  • Amazon rainforest
  • Complex networks
  • Droughts
  • Prediction

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