High-Resolution Regional Climate Modeling

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 2997

Special Issue Editor

Israel Meteorological Service, P.O. Box 25, Bet-Dagan, Tel Aviv 5025001, Israel
Interests: NWP; RCM; cloud physics

Special Issue Information

Dear Colleagues,

Climate change is currently the focus of public attention. Therefore, accurate projections are essential for decision-makers to take action by costly mitigation and adaptation measures. As extreme weather values are the most important issue for society, only high-resolution models may succeed in projecting the future changes in frequency and intensity of high-impact weather events. The current computation power enables us to start projecting the future with convective resolving regional climate models (RCMs). These models may enhance the climate projection accuracy in areas with mesoscale features such as complex terrain and sea breeze. Furthermore, precipitation projections that currently suffer from coarse-scale parametrizations may resolve better convection regimes and give decision-makers a better projection of future precipitation patterns.

Manuscripts solicited in this Special Issue are in research areas including, but not limited to, the following topics:

  • Convective permitting climate projections;
  • Quantify the added value of high-resolution RCMs compared to CMIP data;
  • Projection of changes in extreme events frequency and intensity;
  • Natural variability compared to RCMs projections;
  • Variability in RCMs past climate and projected climate;
  • Statistical downscaling of high-resolution RCMs.

Dr. Yoav Levi
Guest Editor

Manuscript Submission Information

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Keywords

  • climate change
  • climate projections
  • regional climate model (RCM)
  • convection-permitting
  • dynamical downscaling
  • limited area modelling
  • extreme values

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Published Papers (1 paper)

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Research

20 pages, 8286 KiB  
Article
Performance of CMIP6 HighResMIP on the Representation of Onset and Cessation of Seasonal Rainfall in Southern West Africa
by Francis Nkrumah, Kwesi Akumenyi Quagraine, Kwesi Twentwewa Quagraine, Caroline Wainwright, Gandomè Mayeul Leger Davy Quenum, Abraham Amankwah and Nana Ama Browne Klutse
Atmosphere 2022, 13(7), 999; https://doi.org/10.3390/atmos13070999 - 21 Jun 2022
Cited by 5 | Viewed by 2648
Abstract
Changes in rainfall onset and cessation dates are critical for improving decision making and adaptation strategies in numerous socio-economic sectors. An objective method of determining onset and cessation date is employed over Southern West Africa (SWA) in this study. The method is applied [...] Read more.
Changes in rainfall onset and cessation dates are critical for improving decision making and adaptation strategies in numerous socio-economic sectors. An objective method of determining onset and cessation date is employed over Southern West Africa (SWA) in this study. The method is applied over 34 years of the quasi-global rainfall dataset from the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) and five High Resolution Model Intercomparison Project (HighResMIP) model datasets under the Coupled Model Intercomparison Project Phase 6 (CMIP6) experiment. Generally, a strong agreement exists between CHIRPS and the HighResMIP models in capturing the behaviour of seasonal rainfall over SWA, with models able to capture the bimodal rainfall season. The ability of models in capturing onset and cessation dates as observed in CHIRPS shows the strength of these models in representing the short break between the two wet seasons that is otherwise known as the ‘Little Dry Season’. Patterns observed in the onset and cessation dates over the SWA region are consistent with the northward and southward displacement of the Intertropical Convergence Zone (ITCZ). The seasonal timing of the models shows good agreement with observations such that most mean onset/cessation dates agree within 26 days. While IPSL-CM6A-ATM-HR, a model among the five HighResMIPs used in the study, best agrees with CHIRPS in representing onset and cessation dates during the unimodal rainfall season, no one model best agrees with CHIRPS during the bimodal season, with models outperforming each other in representing onset/cessation dates with little variation. Full article
(This article belongs to the Special Issue High-Resolution Regional Climate Modeling)
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