Predictability of water resources with global climate models. Case of Northern Tunisia

The objective of the research is to explore the predictability of water resources directly with GCMs by analysing long-term effects of climate change on Northern Tunisia’s blue and green water. Hydrologic impacts rely on a rainfall-runoff lumped model using outputs of CMIP6 GCMs within the framework...

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Main Authors: Besbes, Mustapha, Chahed, Jamel
Format: Article
Language:English
Published: Académie des sciences 2023-06-01
Series:Comptes Rendus. Géoscience
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Online Access:https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.219/
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author Besbes, Mustapha
Chahed, Jamel
author_facet Besbes, Mustapha
Chahed, Jamel
author_sort Besbes, Mustapha
collection DOAJ
description The objective of the research is to explore the predictability of water resources directly with GCMs by analysing long-term effects of climate change on Northern Tunisia’s blue and green water. Hydrologic impacts rely on a rainfall-runoff lumped model using outputs of CMIP6 GCMs within the framework of the ssp2-45 scenario. Among the 30 CMIP6 models, the composite cnrm-esm2-1 and fgoals-g3 best restore observed runoff from 1995 to 2014 and give the best GCM. Hydrologic projections 2015–2100 show significant drops in rainfall (9%), runoff (21%), groundwater recharge (15%), as well as for green water (6%). The results show that the use of raw GCMs predictions on large basins is possible and provides precisions comparable to what is produced when using Regional Climate Models in medium size basins.
format Article
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institution Kabale University
issn 1778-7025
language English
publishDate 2023-06-01
publisher Académie des sciences
record_format Article
series Comptes Rendus. Géoscience
spelling doaj-art-7390e57b121b4fd4b608032229e459f82025-02-07T10:40:14ZengAcadémie des sciencesComptes Rendus. Géoscience1778-70252023-06-01355S146548610.5802/crgeos.21910.5802/crgeos.219Predictability of water resources with global climate models. Case of Northern TunisiaBesbes, Mustapha0https://orcid.org/0000-0001-5003-280XChahed, Jamel1https://orcid.org/0009-0008-7134-6064University of Tunis El Manar and Tunisian Academy of Sciences, Letters and Arts, TunisiaUniversity of Tunis El Manar, National Engineering School of Tunis, TunisiaThe objective of the research is to explore the predictability of water resources directly with GCMs by analysing long-term effects of climate change on Northern Tunisia’s blue and green water. Hydrologic impacts rely on a rainfall-runoff lumped model using outputs of CMIP6 GCMs within the framework of the ssp2-45 scenario. Among the 30 CMIP6 models, the composite cnrm-esm2-1 and fgoals-g3 best restore observed runoff from 1995 to 2014 and give the best GCM. Hydrologic projections 2015–2100 show significant drops in rainfall (9%), runoff (21%), groundwater recharge (15%), as well as for green water (6%). The results show that the use of raw GCMs predictions on large basins is possible and provides precisions comparable to what is produced when using Regional Climate Models in medium size basins.https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.219/Climate changeGlobal climate modelEarth system modelTunisiaBlue waterGreen water
spellingShingle Besbes, Mustapha
Chahed, Jamel
Predictability of water resources with global climate models. Case of Northern Tunisia
Comptes Rendus. Géoscience
Climate change
Global climate model
Earth system model
Tunisia
Blue water
Green water
title Predictability of water resources with global climate models. Case of Northern Tunisia
title_full Predictability of water resources with global climate models. Case of Northern Tunisia
title_fullStr Predictability of water resources with global climate models. Case of Northern Tunisia
title_full_unstemmed Predictability of water resources with global climate models. Case of Northern Tunisia
title_short Predictability of water resources with global climate models. Case of Northern Tunisia
title_sort predictability of water resources with global climate models case of northern tunisia
topic Climate change
Global climate model
Earth system model
Tunisia
Blue water
Green water
url https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.219/
work_keys_str_mv AT besbesmustapha predictabilityofwaterresourceswithglobalclimatemodelscaseofnortherntunisia
AT chahedjamel predictabilityofwaterresourceswithglobalclimatemodelscaseofnortherntunisia