Zilefac Elvis Asong joined the Global Institute for Water Security in June 2012 to pursue a PhD. He holds a BSc. with honours in Physical Geography (2008) from the University of Buea, Cameroon and a Masters in Water Resources Engineering (2010) from Lund University, Sweden. He worked as a consulting hydrologist at COWI A/S Denmark in 2011. His research interests include: physical and regional climatology; the impact of climate change on hydrological regimes and water resources under non-stationarity; development of statistical downscaling models for downscaling of AOGCM output; regional flood frequency and risk analysis; seasonal hydrological forecast; analysis of drought characteristics; weather generation for water and agricultural applications. He obtained his PhD in December 2015 and received the Best Doctoral Thesis Award in Water Security Research from the GIWS. At present, he is contributing to the Canadian Changing Cold Region Network large-scale hydrological modeling team by evaluating the recently released Global Precipitation Measurement estimates over Southern Canada against ground precipitation observations. He is also using an ensemble of high-resolution (4 * 4 km) regional climate model simulations based on WRF to study historical and future changes in the hydroclimatology of western Canada. 

• Hydro-climatology
• Climate change
• Downscaling
• Hydro-meteorological extremes
• Stochastic modelling
• Streamflow simulation

Asong Z. E., Khaliq MN, Wheater HS (2015) Regionalization of precipitation characteristics in the Canadian Prairie Provinces using large-scale atmospheric covariates and geophysical attributes. Stochastic Environmental Research and Risk Assessment, 29 (3), 8750892. 

Asong Z. E, Khaliq MN, Wheater HS (2016) Multisite multivariate modelling of daily precipitation and temperature in the Canadian Prairie Provines using Generalized Linear Models. Climate Dynamics, pp 1-21, doi:10.1007/s00382-016-3004-z

Asong Z.E, Khaliq MN, Wheater HS (2016) Projected Changes in Precipitation and Temperature over the Canadian Prairie Provinces using the Generalized Linear Model Statistical Downscaling Approach, Journal of Hydrology, doi:10.1016/j.jhydrol.2016.05.044