Project investigators

    • Prof. Ossénatou Mamadou, University of Abomey-Calavi, Benin
  • ACE MITIC, Senegal
    • Prof. Mamadou Bousso, Gaston Berger University, Senegal

Other partners

  • Prof. Marc Aubinet, University of Liège, Belgium

Title: Geometric methods and Wavelet transform for driving information in Atmospheric Sciences

Project type: Research Project (4 years)

Abstract : Facing rapid changes in climate and dramatic warming of the Earth, it is critical that we detect and quantify the underlying processes that control the changing amplitude of climate variables (radiation, water vapor, sensible heat, CO2, etc.). This will lead to an accurate understanding of such processes and will help to better predict their evolution, their feedback cycles and how much they bear on changes in the West African climate. Even though advanced studies have been carried out worldwide, we cannot transpose “blindly” the developed models to West Africa without performing some robust review and analysis. For instance, in the temperate climate, the soil temperature is the most significant driver of the soil CO2 emission into the atmosphere while it seems to be the soil moisture in some cultivated areas in sudanian climate (West Africa). Therefore, it urges to develop appropriate and adapted methods to detect, to analyze and to track drivers for climate variables in view of prediction and actions to take for sustainable environment. To this end, GWAS will combine fundamental/applied mathematics methods/tools in order to provide relevant contribution in atmospheric sciences. From fundamental mathematics, the project will use geometric analysis and Wavelet transforms while as applied mathematics tools, use will be made of machine learning and deep learning together with topological analysis. With these, GWAS will follow the course of main drivers and patterns using eleven (11) years of in-situ measurements (acquired within an international research program). By gathering researchers in West Africa and bringing them into challenging problems related to their region, GWAS would set up a multidisciplinary network of researchers to contribute to the ideas for developing the region.


  • Research themes in digital science: Mathematics, Wavelet transforms, Statistics, Data Science, Machine Learning, Deep Learning
  • Other research themes and application areas: Atmospheric Sciences, Micrometeorology, Sustainable Environment
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