EGU26-3814, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-3814
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Monday, 04 May, 11:50–12:00 (CEST)
 
Room 0.31/32
 The global Sahel Monsoon Ocean-Pressure Index reconciles its regional and large-scale features
Alain Tamoffo1, Torsten Weber1, Fernand Mouassom2, Benjamin Le-Roy1, Claas Teichmann1, Daniela Jacob1, Alessandro Dosio3, and Akintomide Akinsanola4,5
Alain Tamoffo et al.
  • 1Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Hamburg, Germany, Regional and Local Climate Change, Chilehaus, Eingang B, Department of Physics, Hamburg, Germany (alaintamoffotchio@gmail.com)
  • 2Department of Mathematics and Statistics, Memorial University of Newfoundland, St. John’s, Newfoundland, Canada
  • 3European Commission, Joint Research Centre (JRC), Ispra, Italy
  • 4Department of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, IL, USA
  • 5Environmental Science Division, Argonne National Laboratory, Lemont, Illinois, USA

Monitoring Sahelian rainfall variability is increasingly critical as climate extremes intensify across the region. Here, we develop the Sahelian Monsoon Ocean-Pressure Index (SMOPI), a new global synthetic index constructed from five dynamically coherent sea-level pressure regions statistically linked to June-September Sahel monsoon rainfall (Tamoffo et al. 2025). SMOPI portrays intra-seasonal and interannual variability, and crucially, reflects the influence of both regional processes and large-scale teleconnections on monsoon dynamics. SMOPI aligns with the dominant rainfall variability mode both in reanalyses and 29 CMIP6 models. Strong/positive SMOPI phases coincide with wet years and are associated with enhanced convergence, favorable jet configurations, and robust Pacific, Atlantic, and Indian Ocean teleconnections. Conversely, weak/negative SMOPI phases correspond to drought conditions and divergent moisture fluxes. SMOPI exposes climate model failures in reproducing historical droughts and offers new physical insights into rainfall-driving mechanisms. It has a potential to be a scalable, transferable diagnostic tool for monitoring, forecasting, and evaluating Sahelian monsoon rainfall under global warming.

Tamoffo, A.T., Weber, T., Mouassom, F.L. et al. The global Sahel monsoon ocean-pressure index reconciles its regional and large-scale features. npj Clim Atmos Sci 8, 323 (2025). https://doi.org/10.1038/s41612-025-01226-2

How to cite: Tamoffo, A., Weber, T., Mouassom, F., Le-Roy, B., Teichmann, C., Jacob, D., Dosio, A., and Akinsanola, A.:  The global Sahel Monsoon Ocean-Pressure Index reconciles its regional and large-scale features, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3814, https://doi.org/10.5194/egusphere-egu26-3814, 2026.