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      Enhanced future changes in wet and dry extremes over Africa at convection-permitting scale

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          Abstract

          African society is particularly vulnerable to climate change. The representation of convection in climate models has so far restricted our ability to accurately simulate African weather extremes, limiting climate change predictions. Here we show results from climate change experiments with a convection-permitting (4.5 km grid-spacing) model, for the first time over an Africa-wide domain (CP4A). The model realistically captures hourly rainfall characteristics, unlike coarser resolution models. CP4A shows greater future increases in extreme 3-hourly precipitation compared to a convection-parameterised 25 km model (R25). CP4A also shows future increases in dry spell length during the wet season over western and central Africa, weaker or not apparent in R25. These differences relate to the more realistic representation of convection in CP4A, and its response to increasing atmospheric moisture and stability. We conclude that, with the more accurate representation of convection, projected changes in both wet and dry extremes over Africa may be more severe.

          Abstract

          For the first time, climate change experiments with a convection-permitting model have been carried out over an Africa-wide domain. These show more severe future changes in both wet and dry extremes over Africa compared to a traditional coarser resolution climate model.

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          Most cited references54

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                Author and article information

                Contributors
                elizabeth.kendon@metoffice.gov.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                23 April 2019
                23 April 2019
                2019
                : 10
                : 1794
                Affiliations
                [1 ]ISNI 0000000405133830, GRID grid.17100.37, Met Office Hadley Centre, Fitzroy Road, ; Exeter, EX1 3PB UK
                [2 ]ISNI 0000 0004 1936 8403, GRID grid.9909.9, Institute for Climate and Atmospheric Science, University of Leeds, ; Leeds, LS2 9JT UK
                Author information
                http://orcid.org/0000-0002-6727-1732
                Article
                9776
                10.1038/s41467-019-09776-9
                6478940
                31015416
                834bf984-bd4f-4fb0-9d11-f764db962f0c
                © Crown 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/.

                History
                : 14 November 2018
                : 18 March 2019
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                © The Author(s) 2019

                Uncategorized
                climate and earth system modelling,projection and prediction,hydrology
                Uncategorized
                climate and earth system modelling, projection and prediction, hydrology

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