Abstract
Convective-permitting ensemble simulations are used to understand the roles of thermodynamic and dynamic processes in changing intense storms over the West African Sahel due to increases in atmospheric greenhouse gas concentrations. Ensemble simulations with 16 members represent recent August conditions during the height of the boreal summer monsoon season over the Sahel. They are compared with 5 Future-Warming ensemble simulations with increased greenhouse gas concentrations under the late-21st -century high-emission SSP5-8.5 scenario and initial/boundary conditions from the Current-Climate data plus the multi-model mean anomalies derived from CMIP6 experiments. The Current-Climate simulations reproduce observed precipitation and environmental conditions over the Sahel well. The frequency of heavy rainfall events with 24-hr rainfall > 77 mm (the 99.9th percentile) increases by \(\ge\)38.2% in the Future-Warming simulations. While the low- to mid-level vertical wind shear increases in the Future-Warming simulations, we find no significant correlations between the environmental shear strength and peak storm rain rates. In contrast, lower (middle) tropospheric moisture and temperature are correlated (anticorrelated) with peak rain rates and/or the maximum updraft velocity of intense events, consistent with significant correlations between the increased atmospheric instability and storm intensity. Thus, thermodynamic processes and not dynamical (shear-related) processes dominate the rainfall intensification over the Sahel in the simulations. Nevertheless, the enhanced shear strength is associated with larger rain-shield areas and propagation speeds of intense storms in Future-Warming. Wind shear strength is also correlated with pre-storm atmospheric instability, which grows less/more under strong/weak shear with greenhouse gas increases and is relevant for sub/super Clausius-Clapeyron scaling of precipitation.
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Data availability
All datasets analyzed in this study are freely available from their original sources. Model data available from author on request.
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Acknowledgements
Support from NSF Award #1929074 is gratefully acknowledged. The HPC and database resources needed for the analysis were supplied by the Texas Advanced Computing Center (TACC) at The University of Texas at Austin. URL: http://www.tacc.utexas.edu.
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This work was funded by NSF Award #1929074.
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Zhao, S., Cook, K.H. & Vizy, E.K. Greenhouse gas-induced modification of intense storms over the west African sahel through thermodynamic and dynamic processes. Clim Dyn (2024). https://doi.org/10.1007/s00382-024-07193-3
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DOI: https://doi.org/10.1007/s00382-024-07193-3