Effect of dynamical downscaling to cyclone simulation: A study case for Haiyan typhoon

Abstract

The capacity of a global gridded climate data in describing tropical cyclone (TC) activity might be still less adequate due to its coarse resolution or the TC intensity itself. Grid refinement method such as a dynamical downscaling is one way to add values of the climate attributes in the data. However, the performance of the dynamical downscaling itself still con-tains many uncertainties. This paper aims to evaluate the effect of the dynamical downscaling model on the climate simulation during a strong tropical cyclone Haiyan. The snapshots and the best track data from the historical satellite imagery will be used for validation. In general the downscaled cyclone simulation does not give a significant change to the driven data, but it results in more finer resolution of wind field and improves the time and the position of the eye of the cyclone.