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+50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters

GRACE Terrestrial Water Storage (TWS) provides unique and unprecedented perspectives about freshwater availability and change globally. However, GRACE-TWS records are relatively short for long-term hydroclimatic variability studies, dating back to April 2002. In this paper, we made use of Noah Land...

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Autores principales: Hasan, Emad, Tarhule, Aondover, Zume, Joseph T., Kirstetter, Pierre-Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707189/
https://www.ncbi.nlm.nih.gov/pubmed/31444409
http://dx.doi.org/10.1038/s41598-019-48813-x
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author Hasan, Emad
Tarhule, Aondover
Zume, Joseph T.
Kirstetter, Pierre-Emmanuel
author_facet Hasan, Emad
Tarhule, Aondover
Zume, Joseph T.
Kirstetter, Pierre-Emmanuel
author_sort Hasan, Emad
collection PubMed
description GRACE Terrestrial Water Storage (TWS) provides unique and unprecedented perspectives about freshwater availability and change globally. However, GRACE-TWS records are relatively short for long-term hydroclimatic variability studies, dating back to April 2002. In this paper, we made use of Noah Land Surface Model (LSM), and El Niño–Southern Oscillation (ENSO) data in an autoregressive model with exogenous variables (ARX) to reconstruct a 66-year record of TWS for nine major transboundary river basins (TRBs) in Africa. Model performance was evaluated using standard indicators, including the Nash Sutcliffe Efficiency criteria, cumulative density frequency, standardized residuals plots, and model uncertainty bounds. Temporally, the reconstruction results were evaluated for trend, cycles, and mode of variability against ancillary data from the WaterGAP Model (WGHM-TWS) and GPCC-based precipitation anomalies. The temporal pattern reveals good agreement between the reconstructed TWS, WGHM-TWS, and GPCC, (p-value < 0.0001). The reconstructed TWS suggests a significant declining trend across the northern and central TRBs since 1951, while the southern basins show an insignificant trend. The mode of variability analysis indicates short storage periodicity of four to sixteen-month in the northern basins, while strong intra-annual variability in the central and southern basins. The long-term TWS records provide additional support to Africa’s water resources research on hydroclimatic variability and change in shared transboundary water basins.
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spelling pubmed-67071892019-09-08 +50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters Hasan, Emad Tarhule, Aondover Zume, Joseph T. Kirstetter, Pierre-Emmanuel Sci Rep Article GRACE Terrestrial Water Storage (TWS) provides unique and unprecedented perspectives about freshwater availability and change globally. However, GRACE-TWS records are relatively short for long-term hydroclimatic variability studies, dating back to April 2002. In this paper, we made use of Noah Land Surface Model (LSM), and El Niño–Southern Oscillation (ENSO) data in an autoregressive model with exogenous variables (ARX) to reconstruct a 66-year record of TWS for nine major transboundary river basins (TRBs) in Africa. Model performance was evaluated using standard indicators, including the Nash Sutcliffe Efficiency criteria, cumulative density frequency, standardized residuals plots, and model uncertainty bounds. Temporally, the reconstruction results were evaluated for trend, cycles, and mode of variability against ancillary data from the WaterGAP Model (WGHM-TWS) and GPCC-based precipitation anomalies. The temporal pattern reveals good agreement between the reconstructed TWS, WGHM-TWS, and GPCC, (p-value < 0.0001). The reconstructed TWS suggests a significant declining trend across the northern and central TRBs since 1951, while the southern basins show an insignificant trend. The mode of variability analysis indicates short storage periodicity of four to sixteen-month in the northern basins, while strong intra-annual variability in the central and southern basins. The long-term TWS records provide additional support to Africa’s water resources research on hydroclimatic variability and change in shared transboundary water basins. Nature Publishing Group UK 2019-08-23 /pmc/articles/PMC6707189/ /pubmed/31444409 http://dx.doi.org/10.1038/s41598-019-48813-x 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
Hasan, Emad
Tarhule, Aondover
Zume, Joseph T.
Kirstetter, Pierre-Emmanuel
+50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters
title +50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters
title_full +50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters
title_fullStr +50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters
title_full_unstemmed +50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters
title_short +50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters
title_sort +50 years of terrestrial hydroclimatic variability in africa’s transboundary waters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707189/
https://www.ncbi.nlm.nih.gov/pubmed/31444409
http://dx.doi.org/10.1038/s41598-019-48813-x
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