Author(s)

Triphonia Jacob Ngailo^1*, Nyimvua Shaban¹, Joachim Reuder², Michel D. S. Mesquita³, Edwin Rutalebwa⁴, Isaac Mugume⁵, Chiku Sangalungembe⁶

¹Department of Mathematics, University of Tanzania, Dar es Salaam, Tanzania.
²Geophysical Institute, University of Bergen, Bergen, Norway.
³Uni Research Climate, Bjerknes Centre for Climate Studies, University of Bergen, Bergen, Norway.
⁴General studies Department, Dar es Salaam Institute of Technology, Dar es Salaam, Tanzania.
⁵Department of Geography, Geoinformatics and Climate Sciences, Makerere University, Kampala, Uganda.
⁶Modelling Section, Tanzania Meteorological Agency, Dar es Salaam, Tanzania.

This paper evaluates the skills of physical Parameterization schemes in simulating extreme rainfall events over Dar es Salaam Region, Tanzania using the Weather Research and Forecasting (WRF) model. The model skill is determined during the 21 December 2011 flooding event. Ten sensitivity experiments have been conducted using Cumulus, Convective and Planetary boundary layer schemes to find the best combination and optimize the WRF model for the study area for heavy rainfall events. Model simulation results were verified against observed data using standard statistical tests. The model simulations show encouraging and better statistical results with the combination of Kain-Fritsch cumulus parameterization scheme, Lin microphysics scheme and Asymmetric Convection Model 2 (ACM2) planetary boundary scheme than any other combinations of physical parameterization schemes over Dar es Salaam region.

WRF, Dar es Salaam, Extreme Rainfall Events, Physical Parameterization Schemes

Ngailo, T. , Shaban, N. , Reuder, J. , Mesquita, M. , Rutalebwa, E. , Mugume, I. and Sangalungembe, C. (2018) Assessing Weather Research and Forecasting (WRF) Model Parameterization Schemes Skill to Simulate Extreme Rainfall Events over Dar es Salaam on 21 December 2011. Journal of Geoscience and Environment Protection, 6, 36-54. doi: 10.4236/gep.2018.61003.