dc.contributor.author
Ciemer, Catrin
dc.contributor.author
Rehm, Lars
dc.contributor.author
Kurths, Jürgen
dc.contributor.author
Donner, Reik V.
dc.contributor.author
Winkelmann, Ricarda
dc.contributor.author
Boers, Niklas
dc.date.accessioned
2020-10-26T06:53:58Z
dc.date.available
2020-10-26T06:53:58Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/28639
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-28388
dc.description.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.
en
dc.format.extent
10 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
complex networks
en
dc.subject
Amazon rainforest
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::530 Physik::530 Physik
dc.title
An early-warning indicator for Amazon droughts exclusively based on tropical Atlantic sea surface temperatures
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
094087
dcterms.bibliographicCitation.doi
10.1088/1748-9326/ab9cff
dcterms.bibliographicCitation.journaltitle
Environmental Research Letters
dcterms.bibliographicCitation.number
9
dcterms.bibliographicCitation.volume
15
dcterms.bibliographicCitation.url
https://doi.org/10.1088/1748-9326/ab9cff
refubium.affiliation
Physik
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1748-9326
refubium.resourceType.provider
WoS-Alert