This is a dataset that belongs to a manuscript which currently has the same name. The work is carried out as part of the model uncertainty model intercomparison project (MUMIP), which documents uncertainty experiments with physics parameterisations of numerical models of the atmosphere. Therefore, it categorises as work within meteorology and climate physics. For a comprehensive technical description we refer to the associated manuscript and the README_MUMIP_* file.

This is a dataset that belongs to a manuscript which currently has the same name. The work is carried out as part of the model uncertainty model intercomparison project (MUMIP), which documents uncertainty experiments with physics parameterisations of numerical models of the atmosphere. Therefore, it categorises as work within meteorology and climate physics. For a comprehensive technical description we refer to the associated manuscript and the README_MUMIP_* file and also visit the following data repository: https://doi.org/10.5281/zenodo.18163757

This is a dataset that belongs to a manuscript which currently has the same name. The work is carried out as part of the model uncertainty model intercomparison project (MUMIP), which documents uncertainty experiments with physics parameterisations of numerical models of the atmosphere. Therefore, it categorises as work within meteorology and climate physics. For a comprehensive technical description we refer to the associated manuscript and the README_MUMIP_* file and also visit the following data repository: https://doi.org/10.5281/zenodo.18163757

This is a dataset that belongs to a manuscript which currently has the same name. The work is carried out as part of the model uncertainty model intercomparison project (MUMIP), which documents uncertainty experiments with physics parameterisations of numerical models of the atmosphere. Therefore, it categorises as work within meteorology and climate physics. For a comprehensive technical description we refer to the associated manuscript and the README_MUMIP_* file.

Study cases in the common format DEPHY. This study cases are adapted to study land-atmosphere coupling in climate models or numerical weather prediction models.

Study cases in the common format DEPHY. This study cases are adapted to study land-atmosphere coupling in climate models or numerical weather prediction models.

These files are ARPEGE-SURFEX and Méso-NH-SURFEX model simulations based on the BLLAST land-atmosphere coupled study cases (https://zenodo.org/records/15045485). These simulation files are analysed in the article "Process-level evaluation of the land-atmosphere interactions within CNRM-CM6-1 single-column model configuration" (Bernard et al., JAMES, 2025). Treatment script are available here : https://github.com/em-bernard/BLLAST_data_analysis_python_scripts

These files are ARPEGE-SURFEX and Méso-NH-SURFEX model simulations based on the BLLAST land-atmosphere coupled study cases (https://zenodo.org/records/15045485). These simulation files are analysed in the article "Process-level evaluation of the land-atmosphere interactions within CNRM-CM6-1 single-column model configuration" (Bernard et al., JAMES, 2025). Treatment script are available here : https://github.com/em-bernard/BLLAST_data_analysis_python_scripts

The present ASCII file provides the dates of the daily extreme precipitating events (EPEs) for each of the 15 1°x1° pixels covering Burkina Faso as detected by Sanogo et al. (2022). The original raingauge dataset was provided by the Burkinabe National Meteorological Agency (Agence Nationale de la Météorologie). It consists in 142 raingauge stations covering most of Burkina Faso and providing daily rainfall accumulation over the period 1995–2016. Raingauge data were aggregated in 1°x1° pixels, and only pixels with at least five stations were considered. EPEs are detected for each of these pixels as the days when rainfall exceeds the 99th all-day percentile computed over the 1995-2016 period (Note Sanogo et al. 2022 used the period 2001-2013 for consistency with other datasets). See Sanogo et al. 2022 for details. The present dates serve as a basis for the composite analysis in Peyrillé et al. (2023). The ASCII file is organised as follows: one line per event, with latitude (degrees north), longitude (degrees east), year, month and day separated by spaces. Latitude and longitude refer to the center of each 1°x1° pixel. Peyrillé, P., R. Roehrig, and S. Sanogo, 2023: Tropical Waves are key drivers of Extreme Precipitation Events in the Central Sahel. Submitted to Geophysical Research Letters. Sanogo, S., P. Peyrilé, R. Roehrig, F. Guichard, F., and O. Ouedraogo, 2022: Extreme precipitating events in satellite and rain gauge products over the Sahel. Journal of Climate, 35(6), 1915– 1938. https://doi.org/10.1175/JCLI-D-21-0390.1

The present ASCII file provides the dates of the daily extreme precipitating events (EPEs) for each of the 15 1°x1° pixels covering Burkina Faso as detected by Sanogo et al. (2022). The original raingauge dataset was provided by the Burkinabe National Meteorological Agency (Agence Nationale de la Météorologie). It consists in 142 raingauge stations covering most of Burkina Faso and providing daily rainfall accumulation over the period 1995–2016. Raingauge data were aggregated in 1°x1° pixels, and only pixels with at least five stations were considered. EPEs are detected for each of these pixels as the days when rainfall exceeds the 99th all-day percentile computed over the 1995-2016 period (Note Sanogo et al. 2022 used the period 2001-2013 for consistency with other datasets). See Sanogo et al. 2022 for details. The present dates serve as a basis for the composite analysis in Peyrillé et al. (2023). The ASCII file is organised as follows: one line per event, with latitude (degrees north), longitude (degrees east), year, month and day separated by spaces. Latitude and longitude refer to the center of each 1°x1° pixel. Peyrillé, P., R. Roehrig, and S. Sanogo, 2023: Tropical Waves are key drivers of Extreme Precipitation Events in the Central Sahel. Submitted to Geophysical Research Letters. Sanogo, S., P. Peyrilé, R. Roehrig, F. Guichard, F., and O. Ouedraogo, 2022: Extreme precipitating events in satellite and rain gauge products over the Sahel. Journal of Climate, 35(6), 1915– 1938. https://doi.org/10.1175/JCLI-D-21-0390.1