Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

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

Ciemer, C., Rehm, L., Kurths, J., Donner, R. V., Winkelmann, R., Boers, N. (2020): An early-warning indicator for Amazon droughts exclusively based on tropical Atlantic sea surface temperatures. - Environmental Research Letters, 15, 9, 094087.
https://doi.org/10.1088/1748-9326/ab9cff

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Ciemer_2020_Environ._Res._Lett._15_094087.pdf (Verlagsversion), 2MB
Name:
Ciemer_2020_Environ._Res._Lett._15_094087.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Ciemer, Catrin1, Autor              
Rehm, Lars2, Autor
Kurths, Jürgen1, Autor              
Donner, Reik V.1, Autor              
Winkelmann, Ricarda1, Autor              
Boers, Niklas1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: 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.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2020-09-072020
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1088/1748-9326/ab9cff
MDB-ID: Entry suspended
PIKDOMAIN: RD4 - Complexity Science
PIKDOMAIN: RD1 - Earth System Analysis
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Weather
Regional keyword: South America
Research topic keyword: Oceans
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Organisational keyword: RD1 - Earth System Analysis
Working Group: Ice Dynamics
Working Group: Network- and machine-learning-based prediction of extreme events
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Environmental Research Letters
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 15 (9) Artikelnummer: 094087 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150326
Publisher: IOP Publishing