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

被引:21
|
作者
Ciemer, Catrin [1 ,2 ]
Rehm, Lars [3 ]
Kurths, Juergen [1 ,2 ,4 ]
Donner, Reik, V [1 ,5 ]
Winkelmann, Ricarda [1 ,6 ]
Boers, Niklas [7 ,8 ]
机构
[1] Potsdam Inst Climate Impact Res, POB 601203, D-14412 Potsdam, Germany
[2] Humboldt Univ, Dept Phys, Berlin, Germany
[3] Free Univ Berlin, Dept Phys, Berlin, Germany
[4] Nizhnii Novgorod State Univ, Nizhnii Novgorod, Russia
[5] Magdeburg Stendal Univ Appl Sci, Dept Water Environm Construct & Safety, Magdeburg, Germany
[6] Univ Potsdam, Inst Phys & Astron, Potsdam, Germany
[7] Free Univ Berlin, Dept Math & Comp Sci, Berlin, Germany
[8] Univ Exeter, Dept Math & Global Syst Inst, Exeter, Devon, England
基金
欧盟地平线“2020”; 巴西圣保罗研究基金会;
关键词
complex networks; droughts; prediction; Amazon rainforest; RAINFALL VARIABILITY; AMERICAN RAINFALL; PACIFIC; BASIN; OCEAN;
D O I
10.1088/1748-9326/ab9cff
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:9
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