Yamoah (2026) Data. Uncertainties in highresmip models in simulating rainfall over West Africa based on the choice of reference data

Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-04-21
• Authors: Kwame Karikari Yamoah
• DOI: 10.57680/asep.0648887

Research Groups

• Academy of Sciences of the Czech Republic (AV ČR)

Short Summary

This study evaluates the uncertainties in HighResMIP model simulations of rainfall and extreme precipitation over West Africa, specifically analyzing how the choice of reference data influences these assessments.

Objective

• To determine the impact of different reference datasets on the evaluation of HighResMIP models' ability to simulate rainfall and extreme precipitation indices in West Africa.

Study Configuration

• Spatial Scale: West Africa, with specific focus on the Guinea and Sahel climatic zones.
• Temporal Scale: 1983 to 2014, focusing on the summer monsoon period (June–September).

Methodology and Data

• Models used: HighResMIP (High Resolution Model Intercomparison Project).
• Data sources: HighResMIP simulations and various reference datasets (provided in NetCDF format).
• Analysis: Calculation of extreme precipitation indices and monthly rainfall totals.

Main Results

• The study generated comprehensive datasets of monthly and seasonal (JJAS) precipitation for West Africa.
• It produced specific extreme precipitation indices for the Guinea and Sahel zones, demonstrating that the perceived accuracy of HighResMIP models varies significantly depending on the reference data selected for validation.

Contributions

• Provides a quantitative assessment of the uncertainties associated with reference data selection when validating high-resolution climate models for West African monsoon precipitation.
• Offers a processed dataset of precipitation extremes and monthly values for the Guinea and Sahel regions.

Funding

• GA MŠMT(CZ) EH22_008/0004635
• RVO:86652079

Citation

@article{Yamoah2026Data,
  author = {Yamoah, Kwame Karikari},
  title = {Data. Uncertainties in highresmip models in simulating rainfall over West Africa based on the choice of reference data},
  journal = {Open MIND},
  year = {2026},
  doi = {10.57680/asep.0648887},
  url = {https://doi.org/10.57680/asep.0648887}
}