Evaluation of the Regional Climate Model <scp>ALARO</scp>‐0 Over the <scp>CORDEX</scp>‐Africa Domain

ABSTRACT High‐resolution climate data is needed for assessing the regional and local impact of climate change. Therefore, in this study, for the first time, a simulation at the resolution of 12.5 km was done over the African domain using the regional climate model ALARO‐0. This simulation was evaluated using multiple reference datasets, including observations, a reanalysis dataset, and other model simulations. In general, the performance of ALARO‐0 in simulating mean monthly and seasonal temperature was comparable to the references. However, ALARO‐0 systematically underestimated the daily temperature range, with biases similar to or higher than those of other regional climate model runs over Africa. Some notable biases were found for precipitation, with a tendency towards overestimation over most African regions. ALARO‐0 is, however, outperforming the other existing model runs in estimating both the timing of the onset and the unimodal shape of the West African monsoon rainfall. A relatively large spread of precipitation values in the observational datasets was observed, especially over highly elevated areas, which makes the evaluation of the models over these regions difficult and less reliable. To conclude, ALARO‐0 shows potential as a regional climate model over Africa, as in general, the performance in simulating mean temperature and precipitation was satisfactory and in accordance with other models and observations. Bias corrections are, however, needed over certain regions or when simulating minimum and maximum temperature, as biases could reach high values.

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Publication Details

Journal
International Journal of Climatology
Published
2025-05-05
DOI
https://doi.org/10.1002/joc.8895
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of the Regional Climate Model ALARO‐0 Over the CORDEX‐Africa Domain

Sam Crauwels, Laura Decorte, Rafiq Hamdi, Erna Hailey Blancquaert et al.
International Journal of Climatology
Climate variability and models
article

Evaluation of the Regional Climate Model ALARO‐0 Over the CORDEX‐Africa Domain

Sam Crauwels, Laura Decorte, Rafiq Hamdi, Erna Hailey Blancquaert, Michiel Van Ginderachter
article en

Abstract

ABSTRACT High‐resolution climate data is needed for assessing the regional and local impact of climate change. Therefore, in this study, for the first time, a simulation at the resolution of 12.5 km was done over the African domain using the regional climate model ALARO‐0. This simulation was evaluated using multiple reference datasets, including observations, a reanalysis dataset, and other model simulations. In general, the performance of ALARO‐0 in simulating mean monthly and seasonal temperature was comparable to the references. However, ALARO‐0 systematically underestimated the daily temperature range, with biases similar to or higher than those of other regional climate model runs over Africa. Some notable biases were found for precipitation, with a tendency towards overestimation over most African regions. ALARO‐0 is, however, outperforming the other existing model runs in estimating both the timing of the onset and the unimodal shape of the West African monsoon rainfall. A relatively large spread of precipitation values in the observational datasets was observed, especially over highly elevated areas, which makes the evaluation of the models over these regions difficult and less reliable. To conclude, ALARO‐0 shows potential as a regional climate model over Africa, as in general, the performance in simulating mean temperature and precipitation was satisfactory and in accordance with other models and observations. Bias corrections are, however, needed over certain regions or when simulating minimum and maximum temperature, as biases could reach high values.

International Journal of ClimatologyVol. 45(10)
Royal Meteorological Institute of Belgium (BE), Chinese Academy of Sciences (CN), Stellenbosch University (ZA), Ghent University (BE), Xinjiang Institute of Ecology and Geography (CN), KU Leuven (BE)
Belgian Federal Science Policy Office
Openalex Percentile: Top 90%
Climate variability and models
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