Impact of improved landuse data set over Taiwan island in the WRF model

This paper will present the impact of the revised landuse dataset in the WRF model. In WRF model, typical land-use classification is given by 30-second-resolution United States Geological Survey (USGS) global land cover characteristics database with 24 vegetation categories. This land-use dataset is derived from 1-km Advanced Very High Resolution Radiometer (AVHRR) data in a 12-month period spanning from April 1992 to March 1993. However, the USGS landuse dataset exhibited a large difference from the actual land-use distributions over Taiwan land. In this study, we replaced the typical landuse of the WRF model by using the updated high-resolution local landuse dataset. The most difference of the two dataset is the representation of the urban, mixed forest, and agriculture. Since Taiwan is an isolated island, the impact of the update landuse dataset is highly expected in the weather and climat regime. We will present the forcast impact of the landuse dataset for the enhanced local circulation case, active afternoon thunderstorm case, and an one-month forecast uing the high-resolution WRF model.