Convection-permitting regional climate change simulations for understanding future climate and informing decision-making in Africa

Catherine A. Senior*, John H. Marsham, Ségolène Berthou, Laura E. Burgin, Sonja S. Folwell, Elizabeth J. Kendon, Cornelia M. Klein, Richard G. Jones, Neha Mittal, David P. Rowell, Lorenzo Tomassini, Théo Vischel, Bernd Becker, Cathryn E. Birch, Julia Crook, Andrew J. Dougill, Declan L. Finney, Richard J. Graham, Neil C.G. Hart, Christopher D. JackLawrence S. Jackson, Rachel James, Bettina Koelle, Herbert Misiani, Brenda Mwalukanga, Douglas J. Parker, Rachel A. Stratton, Christopher M. Taylor, Simon O. Tucker, Caroline M. Wainwright, Richard Washington, Martin R. Willet

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

45 Citations (Scopus)

Abstract

Pan-Africa convection-permitting regional climate model simulations have been performed to study the impact of high resolution and the explicit representation of atmospheric moist convection on the present and future climate of Africa. These unique simulations have allowed European and African climate scientists to understand the critical role that the representation of convection plays in the ability of a contemporary climate model to capture climate and climate change, including many impact-relevant aspects such as rainfall variability and extremes. There are significant improvements in not only the small-scale characteristics of rainfall such as its intensity and diurnal cycle, but also in the large-scale circulation. Similarly, effects of explicit convection affect not only projected changes in rainfall extremes, dry spells, and high winds, but also continental-scale circulation and regional rainfall accumulations. The physics underlying such differences are in many cases expected to be relevant to all models that use parameterized convection. In some cases physical understanding of small-scale change means that we can provide regional decision-makers with new scales of information across a range of sectors. We demonstrate the potential value of these simulations both as scientific tools to increase climate process understanding and, when used with other models, for direct user applications. We describe how these ground-breaking simulations have been achieved under the U.K. Government's Future Climate for Africa Programme. We anticipate a growing number of such simulations, which we advocate should become a routine component of climate projection, and encourage international coordination of such computationally and humanresource expensive simulations as effectively as possible.

Original languageEnglish
Pages (from-to)E1206-E1223
Number of pages18
JournalBulletin of the American Meteorological Society
Volume102
Issue number6
Early online date21 Jun 2021
DOIs
Publication statusPublished - Jun 2021

Bibliographical note

Funding Information:
Acknowledgments. The authors were supported by the Natural Environment Research Council/ Department for International Development via the Future Climates for Africa (FCFA)-funded program. Authors Senior, Folwell, Kendon, Tomassini, Birch, Graham, Jackson, James, Parker, Stratton, Tucker, and Willett were funded under the Improving Model Processes for African Climate (IMPALA: NE/M017265/1, NE/M017214/1, NE/M017230/1, NE/M017206/1, NE/M017176/1) project. Authors Marsham, Burgin, Mittal, Rowell, Finney, Misiani, and Wainwright were funded under the Integrating Hydro-Climate Science into Policy Decision for Climate-Resilient Infrastructure and Livelihoods in East Africa (HyCRISTAL: NE/M019985/1,NE/M02038X/1, NE/M020371/1) project. Authors Berthou, Klein, Vischel, Taylor, and Crook were funded under the African Monsoon Multidisciplinary Analysis 2050 (AMMA-2050: NE/M020428/1, NE/M019969/1, NE/M019977/1, NE/M020126/1) project. Authors Jack, Jones, Koelle, and Mwalukanga were funded under the Future Resilience for African CiTies And Lands (FRACTAL, NE/M020061/1) project. Authors Hart and Washington were funded under the Uncertainty reduction in Models For Understanding deveLopment Applications (UMFULA; NE/ M020207). The CP4-Africa and R25 datasets generated under the FCFA IMPALA project are publicly available from the Centre for Environmental Data Analysis (CEDA) archive (http://archive.ceda.ac.uk/)

Funding Information:
The authors were supported by the Natural Environment Research Council/Department for International Development via the Future Climates for Africa (FCFA)-funded program. Authors Senior, Folwell, Kendon, Tomassini, Birch, Graham, Jackson, James, Parker, Stratton, Tucker, and Willett were funded under the Improving Model Processes for African Climate (IMPALA: NE/M017265/1, NE/M017214/1, NE/M017230/1, NE/M017206/1, NE/M017176/1) project. Authors Marsham, Burgin, Mittal, Rowell, Finney, Misiani, and Wainwright were funded under the Integrating Hydro-Climate Science into Policy Decision for Climate-Resilient Infrastructure and Livelihoods in East Africa (HyCRISTAL: NE/M019985/1,NE/M02038X/1, NE/M020371/1) project. Authors Berthou, Klein, Vischel, Taylor, and Crook were funded under the African Monsoon Multidisciplinary Analysis 2050 (AMMA-2050: NE/M020428/1, NE/M019969/1, NE/M019977/1, NE/M020126/1) project. Authors Jack, Jones, Koelle, and Mwalukanga were funded under the Future Resilience for African CiTies And Lands (FRACTAL, NE/M020061/1) project. Authors Hart and Washington were funded under the Uncertainty reduction in Models For Understanding deveLopment Applications (UMFULA; NE/ M020207). The CP4-Africa and R25 datasets generated under the FCFA IMPALA project are publicly available from the Centre for Environmental Data Analysis (CEDA) archive (http://archive.ceda.ac.uk/)

Publisher Copyright:
© 2021 American Meteorological Society.

Keywords

  • Climate change
  • Climate models
  • Climate prediction
  • Convective storms
  • Model evaluation/performance

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