Dr. Hervé Awoye

- Developed and compared different Bayesian hierarchical models to reduce the uncertainty and attribute weights to CMIP3 and CMIP5 global climate model projections of seasonal precipitation and near-surface air temperature over height sub-regions in the Mediterranean area

- Statistical processing of large climate datasets - Signal extraction from observed and modeled climate data - Quality-control of agricultural statistics from different sources and development of a crop production database - Development of robust statistical crop models to project future climate change impacts in agriculture by combining multivariate regression techniques, bootstrap resampling, cross-validation and Bayesian statistics

- Statistically processed hydrometric data sets - Adapted the ecohydrological model SWAT to predict rainfall – runoff and soil erosion processes in some agricultural watersheds - Analysed the sensibility of the outputs to the SWAT model parameters - Conducted field surveys for a diagnostic study of inland valleys - Conducted field surveys for the analysis of soil hydraulic conductivity and the assessment of erosion rate - Provided scientific support to Master’s students for field and laboratory works

- Agricultural Climatology - Climate change assessment - Climate impact research - Stochastic & Statistical modeling (Frequentist & Bayesian Statistics) - Processing of large data sets - Geostatistics - Scientific computing / Model development

- Biodiversity and Natural Resource Management - Biometrics

- Natural Resource Management - Ecohydrological modeling - Water management in agriculture - Rural engineering - Applied Statistics

Agriculture