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Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019
Drought indices are a numerical representation of drought conditions aimed to provide quantitative assessments of the magnitude, spatial extent, timing, and duration of drought events. Since the adverse effects of droughts vary according to the characteristics of the event, the socioeconomic vulnera...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755802/ https://www.ncbi.nlm.nih.gov/pubmed/36540868 http://dx.doi.org/10.1007/s11069-022-05759-0 |
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author | Tomasella, Javier Cunha, Ana Paula M. A. Simões, Paloma Angelina Zeri, Marcelo |
author_facet | Tomasella, Javier Cunha, Ana Paula M. A. Simões, Paloma Angelina Zeri, Marcelo |
author_sort | Tomasella, Javier |
collection | PubMed |
description | Drought indices are a numerical representation of drought conditions aimed to provide quantitative assessments of the magnitude, spatial extent, timing, and duration of drought events. Since the adverse effects of droughts vary according to the characteristics of the event, the socioeconomic vulnerabilities, exposed communities or environments, there is a profusion of drought indicators to assess drought impacts in different sectors. In this study, we evaluated the performance of two drought indices, the Standardized Precipitation Index—SPI and Standardized Precipitation Evapotranspiration Index—SPEI over Brazil derived from gridded meteorological information over the period 1980–2019. Firstly, we compared the gridded derived indices against the same indices derived from weather station data and available from a global dataset for time scales of 3, 6, 12, 24 months. Then we analyzed the spatio-temporal trends in SPI and SPEI time-series, which revealed statistically significant trends toward drier conditions across central Brazil for all time scales, though with more intensity for time scales of 12 months and larger. Trends were more significant in magnitude for SPEI than SPI, indicating an important role in the increase in evaporation, driven by increasingly higher temperatures. Finally, we demonstrated that climate signals are already having a disruptive effect on the country's energy security. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11069-022-05759-0. |
format | Online Article Text |
id | pubmed-9755802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-97558022022-12-16 Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019 Tomasella, Javier Cunha, Ana Paula M. A. Simões, Paloma Angelina Zeri, Marcelo Nat Hazards (Dordr) Original Paper Drought indices are a numerical representation of drought conditions aimed to provide quantitative assessments of the magnitude, spatial extent, timing, and duration of drought events. Since the adverse effects of droughts vary according to the characteristics of the event, the socioeconomic vulnerabilities, exposed communities or environments, there is a profusion of drought indicators to assess drought impacts in different sectors. In this study, we evaluated the performance of two drought indices, the Standardized Precipitation Index—SPI and Standardized Precipitation Evapotranspiration Index—SPEI over Brazil derived from gridded meteorological information over the period 1980–2019. Firstly, we compared the gridded derived indices against the same indices derived from weather station data and available from a global dataset for time scales of 3, 6, 12, 24 months. Then we analyzed the spatio-temporal trends in SPI and SPEI time-series, which revealed statistically significant trends toward drier conditions across central Brazil for all time scales, though with more intensity for time scales of 12 months and larger. Trends were more significant in magnitude for SPEI than SPI, indicating an important role in the increase in evaporation, driven by increasingly higher temperatures. Finally, we demonstrated that climate signals are already having a disruptive effect on the country's energy security. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11069-022-05759-0. Springer Netherlands 2022-12-16 2023 /pmc/articles/PMC9755802/ /pubmed/36540868 http://dx.doi.org/10.1007/s11069-022-05759-0 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Tomasella, Javier Cunha, Ana Paula M. A. Simões, Paloma Angelina Zeri, Marcelo Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019 |
title | Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019 |
title_full | Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019 |
title_fullStr | Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019 |
title_full_unstemmed | Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019 |
title_short | Assessment of trends, variability and impacts of droughts across Brazil over the period 1980–2019 |
title_sort | assessment of trends, variability and impacts of droughts across brazil over the period 1980–2019 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755802/ https://www.ncbi.nlm.nih.gov/pubmed/36540868 http://dx.doi.org/10.1007/s11069-022-05759-0 |
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