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Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa
Detecting changes in climate is a prerequisite for a better understanding of the climate and developing adaptation and mitigation measures at a regional and local scale. In this study long-term trends in rainfall and maximum and minimum temperature (T-max and T-min) were analysed on seasonal and ann...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684806/ https://www.ncbi.nlm.nih.gov/pubmed/31388068 http://dx.doi.org/10.1038/s41598-019-47933-8 |
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author | Gebrechorkos, Solomon H. Hülsmann, Stephan Bernhofer, Christian |
author_facet | Gebrechorkos, Solomon H. Hülsmann, Stephan Bernhofer, Christian |
author_sort | Gebrechorkos, Solomon H. |
collection | PubMed |
description | Detecting changes in climate is a prerequisite for a better understanding of the climate and developing adaptation and mitigation measures at a regional and local scale. In this study long-term trends in rainfall and maximum and minimum temperature (T-max and T-min) were analysed on seasonal and annual time scales for East Africa. High resolution gridded rainfall (1981–2016) and temperature (1979–2010) data from international databases like the Climate Hazards Group are used. Long-term seasonal trend analysis shows a non-significant (except for small areas), decreasing (increasing) trend in rainfall in eastern (western) parts of Ethiopia and Kenya and a decreasing trend in large parts of Tanzania during the long rainy season. On the other hand, a non-significant increasing trend in large parts of the region is observed during the short rain season. With regard to annual trends, results largely confirm seasonal analyses: only a few significant trends in rainfall, but significant increasing trends in T-max (up to 1.9 °C) and T-min (up to 1.2 °C) for virtually the whole region. Our results demonstrate the need and added value of analysing climate trends based on data with high spatial resolution allowing sustainable adaptation measures at local scales. |
format | Online Article Text |
id | pubmed-6684806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66848062019-08-11 Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa Gebrechorkos, Solomon H. Hülsmann, Stephan Bernhofer, Christian Sci Rep Article Detecting changes in climate is a prerequisite for a better understanding of the climate and developing adaptation and mitigation measures at a regional and local scale. In this study long-term trends in rainfall and maximum and minimum temperature (T-max and T-min) were analysed on seasonal and annual time scales for East Africa. High resolution gridded rainfall (1981–2016) and temperature (1979–2010) data from international databases like the Climate Hazards Group are used. Long-term seasonal trend analysis shows a non-significant (except for small areas), decreasing (increasing) trend in rainfall in eastern (western) parts of Ethiopia and Kenya and a decreasing trend in large parts of Tanzania during the long rainy season. On the other hand, a non-significant increasing trend in large parts of the region is observed during the short rain season. With regard to annual trends, results largely confirm seasonal analyses: only a few significant trends in rainfall, but significant increasing trends in T-max (up to 1.9 °C) and T-min (up to 1.2 °C) for virtually the whole region. Our results demonstrate the need and added value of analysing climate trends based on data with high spatial resolution allowing sustainable adaptation measures at local scales. Nature Publishing Group UK 2019-08-06 /pmc/articles/PMC6684806/ /pubmed/31388068 http://dx.doi.org/10.1038/s41598-019-47933-8 Text en © The Author(s) 2019 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 Gebrechorkos, Solomon H. Hülsmann, Stephan Bernhofer, Christian Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa |
title | Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa |
title_full | Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa |
title_fullStr | Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa |
title_full_unstemmed | Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa |
title_short | Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa |
title_sort | long-term trends in rainfall and temperature using high-resolution climate datasets in east africa |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684806/ https://www.ncbi.nlm.nih.gov/pubmed/31388068 http://dx.doi.org/10.1038/s41598-019-47933-8 |
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