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has been cited by the following article:

• TITLE: Assessing Weather Research and Forecasting (WRF) Model Parameterization Schemes Skill to Simulate Extreme Rainfall Events over Dar es Salaam on 21 December 2011

  AUTHORS: Triphonia Jacob Ngailo, Nyimvua Shaban, Joachim Reuder, Michel D. S. Mesquita, Edwin Rutalebwa, Isaac Mugume, Chiku Sangalungembe

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

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.6 No.1, January 17, 2018

  ABSTRACT: 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.