Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

African Climate Change Uncertainty in Perturbed Physics Ensembles: Implications of Global Warming to 4°C and Beyond*

Domaine:

climate

Type de record:

paper
Créateur:
RacRicDav
Éditeur:
Ame
Hôte:
Abstract The importance of investigating regional climate changes associated with degrees of global warming is increasingly being recognized, but the majority of relevant research has been based on multimodel ensembles (MMEs) from the Coupled Model Intercomparison Project (CMIP). This has left two important questions unanswered: Are there plausible futures which are not represented by the models in CMIP? And, how would regional climates evolve under enhanced global warming, beyond 4°C? In this paper, two perturbed physics ensembles (PPEs) are used to address these issues with reference to African precipitation. Examination of model versions that generate warming greater than 4°C in the twenty-first century shows that changes in African precipitation are enhanced gradually, even to high global temperatures; however, there may be nonlinearities that are not incorporated here due to limited model complexity. The range of projections from the PPEs is compared to data from phases 3 and 5 of CMIP (CMIP3 and CMIP5), revealing regional differences. This is partly the result of implausible model versions, but the PPE dataset can be justifiably constrained given its size and systematic nature, highlighting an additional advantage over MMEs. After applying constraints, the PPEs still show changes that are outside the range of CMIP, most prominently strong dry signals in west equatorial Africa and the Sahel, implying that MMEs may underestimate risks for these regions. Analysis of African precipitation changes therefore demonstrates that regional assessments that rely on CMIP3 and CMIP5 may overlook uncertainties associated with model parameterizations and pronounced warming. More systematic approaches are needed for conservative estimates of danger.

Visit

doi.org

Similaires

Descriptions of MOHC perturbed physics ensembles (PPE) experiments investigating changes in African temperature and precipitationAfrican Newspaper Coverage of Climate Change or Global Warming, 2004-2026Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertaintyAfrican Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - January 2021African Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - September 2021African Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - October 2021

Descriptions of MOHC perturbed physics ensembles (PPE) experiments investigating changes in African temperature and precipitation

Data from two perturbed physics ensembles developed by the Met Office Hadley Centre as part of the Q

African Newspaper Coverage of Climate Change or Global Warming, 2004-2026

The Media and Climate Change Observatory Data monitors 117 sources (across newspapers, radio and TV)

Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

The effect of climate change on the spatiotemporal dynamics of malaria transmission is studied using

African Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - January 2021

The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio

African Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - September 2021

The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio

African Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - October 2021

The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV)