Articles | Volume 25, issue 23
https://doi.org/10.5194/acp-25-17301-2025
https://doi.org/10.5194/acp-25-17301-2025
Research article
 | 
02 Dec 2025
Research article |  | 02 Dec 2025

Understanding mesoscale convective processes over the Congo Basin using the Model for Prediction Across Scales-Atmosphere (MPAS-A)

Siyu Zhao, Rong Fu, Kelly Núñez Ocasio, Robert Nystrom, Cenlin He, Jiaying Zhang, Xianan Jiang, and Joao Teixeira

Data sets

Code and Data for "Understanding mesoscale convective processes over the Congo Basin using the Model for Prediction Across Scales-Atmosphere (MPAS-A)'' S. Zhao https://doi.org/10.5281/zenodo.15758254

Model code and software

Code and Data for "Understanding mesoscale convective processes over the Congo Basin using the Model for Prediction Across Scales-Atmosphere (MPAS-A)'' S. Zhao https://doi.org/10.5281/zenodo.15758254

knubez/TAMS: v0.1.7 Z. Moon and K. M. Núñez Ocasio https://doi.org/10.5281/zenodo.15353123

knubez/MPAS-Model: MPAS v8.0.1-isolevels M. Duda et al. https://doi.org/10.5281/zenodo.13696552

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Short summary
The Congo Basin has frequent organized thunderstorms producing much of the region’s rainfall, yet their development remains unclear due to limited data. Using a high-resolution global model, it shows the long-lasting storm is significantly linked to and supported by vertical wind shear up to 400 km ahead, with the mid-level jet stream playing a role in maintaining the shear. The findings highlight the value of such model in data-sparse regions for examining storms and their impacts.
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