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Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST
Tropical and sub-tropical South America are highly susceptible to extreme droughts. Recent events include two droughts (2005 and 2010) exceeding the 100-year return value in the Amazon and recurrent extreme droughts in the Nordeste region, with profound eco-hydrological and socioeconomic impacts. In...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517600/ https://www.ncbi.nlm.nih.gov/pubmed/28724896 http://dx.doi.org/10.1038/s41598-017-05373-2 |
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author | Erfanian, Amir Wang, Guiling Fomenko, Lori |
author_facet | Erfanian, Amir Wang, Guiling Fomenko, Lori |
author_sort | Erfanian, Amir |
collection | PubMed |
description | Tropical and sub-tropical South America are highly susceptible to extreme droughts. Recent events include two droughts (2005 and 2010) exceeding the 100-year return value in the Amazon and recurrent extreme droughts in the Nordeste region, with profound eco-hydrological and socioeconomic impacts. In 2015–2016, both regions were hit by another drought. Here, we show that the severity of the 2015–2016 drought ("2016 drought" hereafter) is unprecedented based on multiple precipitation products (since 1900), satellite-derived data on terrestrial water storage (since 2002) and two vegetation indices (since 2004). The ecohydrological consequences from the 2016 drought are more severe and extensive than the 2005 and 2010 droughts. Empirical relationships between rainfall and sea surface temperatures (SSTs) over the tropical Pacific and Atlantic are used to assess the role of tropical oceanic variability in the observed precipitation anomalies. Our results indicate that warmer-than-usual SSTs in the Tropical Pacific (including El Niño events) and Atlantic were the main drivers of extreme droughts in South America, but are unable to explain the severity of the 2016 observed rainfall deficits for a substantial portion of the Amazonia and Nordeste regions. This strongly suggests potential contribution of non-oceanic factors (e.g., land cover change and CO2-induced warming) to the 2016 drought. |
format | Online Article Text |
id | pubmed-5517600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55176002017-07-20 Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST Erfanian, Amir Wang, Guiling Fomenko, Lori Sci Rep Article Tropical and sub-tropical South America are highly susceptible to extreme droughts. Recent events include two droughts (2005 and 2010) exceeding the 100-year return value in the Amazon and recurrent extreme droughts in the Nordeste region, with profound eco-hydrological and socioeconomic impacts. In 2015–2016, both regions were hit by another drought. Here, we show that the severity of the 2015–2016 drought ("2016 drought" hereafter) is unprecedented based on multiple precipitation products (since 1900), satellite-derived data on terrestrial water storage (since 2002) and two vegetation indices (since 2004). The ecohydrological consequences from the 2016 drought are more severe and extensive than the 2005 and 2010 droughts. Empirical relationships between rainfall and sea surface temperatures (SSTs) over the tropical Pacific and Atlantic are used to assess the role of tropical oceanic variability in the observed precipitation anomalies. Our results indicate that warmer-than-usual SSTs in the Tropical Pacific (including El Niño events) and Atlantic were the main drivers of extreme droughts in South America, but are unable to explain the severity of the 2016 observed rainfall deficits for a substantial portion of the Amazonia and Nordeste regions. This strongly suggests potential contribution of non-oceanic factors (e.g., land cover change and CO2-induced warming) to the 2016 drought. Nature Publishing Group UK 2017-07-19 /pmc/articles/PMC5517600/ /pubmed/28724896 http://dx.doi.org/10.1038/s41598-017-05373-2 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Erfanian, Amir Wang, Guiling Fomenko, Lori Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST |
title | Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST |
title_full | Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST |
title_fullStr | Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST |
title_full_unstemmed | Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST |
title_short | Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST |
title_sort | unprecedented drought over tropical south america in 2016: significantly under-predicted by tropical sst |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517600/ https://www.ncbi.nlm.nih.gov/pubmed/28724896 http://dx.doi.org/10.1038/s41598-017-05373-2 |
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