WRF Environment Assessment in Guangzhou City with an Extracted Land-use Map from the Remote Sensing Data in 2000 as an Example

摘要

Mesoscale urban environment forecast combined with WRF is a current frontier in international academic. Taking Guangzhou as an example, the new land⁃use model presented by the present authors, the existing USGS and MODIS models in WRF were firstly compared to the remote sensing model in this article. The comparison result shows that the land⁃use model presented by the authors has the highest similarity with the remote sensing data. Secondly, the new land⁃use model was used to replace the defaulted land⁃use data in WRF for simulation. By comparing this simulation results with the WRF results using the defaulted USGS and MODIS model, it was showed that the geographic models have a great impact on the mesoscale environment forecast result. Also, the geographic information model presented in this article shows the best accuracy when comparing with the observation data. Results in this study are going to be an important reference in the contemporary international forefront of mesoscale urban environment studies by WRF.