The Weather Research and Forecasting (WRF) Model used for Forecast

 

The Weather Research and Forecasting (WRF) model is a new-generation mesocale Numerical Weather Prediction (NWP) system designed to serve both operational forecasting and atmospheric research needs. It features multiple dynamical cores, a 3-dimensional variational (3DVAR) data assimilation system, and a software architecture allowing for computational parallelism and system extensibility. WRF is suitable for a broad spectrum of applications across scales ranging from meters to thousands of kilometers. Applications of WRF include research and operational numerical weather prediction (NWP), data assimilation and parameterized-physics research, downscaling climate simulations, driving air quality models, atmosphere-ocean coupling, and idealized simulations (i.e., boundary-layer eddies, convection, baroclinic waves). There are two dynamics solvers in the WRF system: the Advanced Research WRF (ARW) solver (originally referred to as the Eulerian mass or "em") developed primarily at National Centre for Atmospheric Research (NCAR), USA, and the NMM (Nonhydrostatic Mesoscale Model) solver developed at National Centre for Environmental Prediction (NCEP), USA. The ARW system consists of the ARW dynamics solver with other components of the WRF system needed to produce a simulation. The WRF- ARW (version 4.1) has been implemented for this particular forecast as an experiment for the students of Department of Meteorology, University of Dhaka. This model has been run at 27 km horizontal resolutions with 40 vertical levels using initial & boundary conditions obtained from NCEP. The main features of the model employed for this study is summarized in the following Table.

 

Table: Summary of the WRF Model