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September 10, 2025AtmosphereOpen Access

Assessing the Performance of the WRF Model in Simulating Squall Line Processes over the South African Highveld

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WRF model successfully reproduced synoptic-scale processes of squall line events, highlighting its efficacy.
Comparison with ERA5 datasets revealed a broader spatial distribution in rainfall predictions, overestimating large-scale precipitation.
Observed dryline features were well-captured in simulations for some cases, while orographic influences challenged simulations in others.
This work underscores the need for enhancements in weather forecasting models to improve accuracy in simulating extreme weather events.

Authors

IMInnocent L. MbokodoNorth-West University RBRoelof BurgerNorth-West University AFAnn M. FridlindGoddard Institute for Space Studies

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Implication

This analysis examines the WRF model's ability to simulate squall line processes, indicating discrepancies in rainfall predictions in the South African Highveld.

Cite This Study

Mbokodo et al. (2025) studied this question.

synapsesocial.com/papers/68c198c59b7b07f3a061a8a9 https://doi.org/10.3390/atmos16091055

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Implication

This analysis examines the WRF model's ability to simulate squall line processes, indicating discrepancies in rainfall predictions in the South African Highveld.

Assessing the Performance of the WRF Model in Simulating Squall Line Processes over the South African Highveld

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Discussion

Implication

Cite This Study

Assessing the Performance of the WRF Model in Simulating Squall Line Processes over the South African Highveld

Key Points

Discussion

Implication

Cite This Study

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