Nat. Hazards Earth Syst. Sci., 14, 2179–2187, 2014 www.nat-hazards-earth-syst-sci.net/14/2179/2014/ doi:10.5194/nhess-14-2179-2014 © Author(s) 2014. CC Attribution 3.0 License. The efficiency of the Weather Research and Forecasting (WRF) model for simulating typhoons T. Haghroosta1, W. R. Ismail2,3, P. Ghafarian4, and S. M. Barekati5 1Center for Marine and Coastal Studies (CEMACS), Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia 2Section of Geography, School of Humanities, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia 3Centre for Global Sustainability Studies, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia 4Iranian National Institute for Oceanography and Atmospheric Science, Tehran, Iran 5Iran Meteorological Organization, Tehran, Iran Correspondence to: T. Haghroosta (
[email protected]) Received: 18 December 2013 – Published in Nat. Hazards Earth Syst. Sci. Discuss.: 14 January 2014 Revised: – – Accepted: 29 July 2014 – Published: 26 August 2014 Abstract. The Weather Research and Forecasting (WRF) 1 Introduction model includes various configuration options related to physics parameters, which can affect the performance of the model. In this study, numerical experiments were con- Numerical weather forecasting models have several configu- ducted to determine the best combination of physics param- ration options relating to physical and dynamical parameter- eterization schemes for the simulation of sea surface tem- ization; the more complex the model, the greater variety of peratures, latent heat flux, sensible heat flux, precipitation physical processes involved. For this reason, there are several rate, and wind speed that characterized typhoons. Through different physical and dynamical schemes which can be uti- these experiments, several physics parameterization options lized in simulations.