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Analysis of climate variability, trends, and prediction in the most active parts of the Lake Chad basin, Africa

An understanding of climate variability, trends, and prediction for better water resource management and planning in a basin is very important. Since the water resources of the Lake Chad basin (LCB) are highly vulnerable to changing climate, in the present study, a combination of trend analysis meth...

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Autores principales: Mahmood, Rashid, Jia, Shaofeng, Zhu, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474870/
https://www.ncbi.nlm.nih.gov/pubmed/31004113
http://dx.doi.org/10.1038/s41598-019-42811-9
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author Mahmood, Rashid
Jia, Shaofeng
Zhu, Wenbin
author_facet Mahmood, Rashid
Jia, Shaofeng
Zhu, Wenbin
author_sort Mahmood, Rashid
collection PubMed
description An understanding of climate variability, trends, and prediction for better water resource management and planning in a basin is very important. Since the water resources of the Lake Chad basin (LCB) are highly vulnerable to changing climate, in the present study, a combination of trend analysis methods was used to examine the climate variability and trends for the period of 1951–2015 using observed and Climate Research Unit (CRU) data, and a combination of spectral analysis techniques was used for the prediction of temperature and precipitation using CRU data. Eighty-four percent of the temperature time series indicated extremely strong signals of increasing trends (α = 0.001) and 25–38% of the precipitation time series indicated strong decreasing trends (α = 0.05). Temperature is expected to increase and precipitation is expected to decrease in the future. However, surprisingly, in some regions located in the South, the temperature was predicted to decrease slightly in 2021–2030 relative to 2006–2015. This decrease might occur because these regions are highly protected natural resource areas and forests are frequently present. On the whole, the temperature was predicted to increase by 0.65–1.6 °C and precipitation was predicted to decrease by 13–11% in the next two decades (i.e., 2016–2025 and 2026–2035) relative to 1961–1990. Periodic analysis showed a 20- to 25-year cycle in precipitation in all basins and a 40- to 45-year cycle in temperature but only in the Chari-Logone basin.
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spelling pubmed-64748702019-04-26 Analysis of climate variability, trends, and prediction in the most active parts of the Lake Chad basin, Africa Mahmood, Rashid Jia, Shaofeng Zhu, Wenbin Sci Rep Article An understanding of climate variability, trends, and prediction for better water resource management and planning in a basin is very important. Since the water resources of the Lake Chad basin (LCB) are highly vulnerable to changing climate, in the present study, a combination of trend analysis methods was used to examine the climate variability and trends for the period of 1951–2015 using observed and Climate Research Unit (CRU) data, and a combination of spectral analysis techniques was used for the prediction of temperature and precipitation using CRU data. Eighty-four percent of the temperature time series indicated extremely strong signals of increasing trends (α = 0.001) and 25–38% of the precipitation time series indicated strong decreasing trends (α = 0.05). Temperature is expected to increase and precipitation is expected to decrease in the future. However, surprisingly, in some regions located in the South, the temperature was predicted to decrease slightly in 2021–2030 relative to 2006–2015. This decrease might occur because these regions are highly protected natural resource areas and forests are frequently present. On the whole, the temperature was predicted to increase by 0.65–1.6 °C and precipitation was predicted to decrease by 13–11% in the next two decades (i.e., 2016–2025 and 2026–2035) relative to 1961–1990. Periodic analysis showed a 20- to 25-year cycle in precipitation in all basins and a 40- to 45-year cycle in temperature but only in the Chari-Logone basin. Nature Publishing Group UK 2019-04-19 /pmc/articles/PMC6474870/ /pubmed/31004113 http://dx.doi.org/10.1038/s41598-019-42811-9 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
Mahmood, Rashid
Jia, Shaofeng
Zhu, Wenbin
Analysis of climate variability, trends, and prediction in the most active parts of the Lake Chad basin, Africa
title Analysis of climate variability, trends, and prediction in the most active parts of the Lake Chad basin, Africa
title_full Analysis of climate variability, trends, and prediction in the most active parts of the Lake Chad basin, Africa
title_fullStr Analysis of climate variability, trends, and prediction in the most active parts of the Lake Chad basin, Africa
title_full_unstemmed Analysis of climate variability, trends, and prediction in the most active parts of the Lake Chad basin, Africa
title_short Analysis of climate variability, trends, and prediction in the most active parts of the Lake Chad basin, Africa
title_sort analysis of climate variability, trends, and prediction in the most active parts of the lake chad basin, africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474870/
https://www.ncbi.nlm.nih.gov/pubmed/31004113
http://dx.doi.org/10.1038/s41598-019-42811-9
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