| By embedding land use data and DEM data of high resolution, this paper used WRF model to simulate the weather of Beijing-Tianjin-Heibei(BTH) region,comparing the surface temperature, relative humidity, wind speed, wind direction and ground flux between observe data and numeral simulation result. Analysed the underlying surface effect on weather numeral simulation by simulating the summer clear sky of BTH region.By the other side, using urban canopy model in WRF to study the urbanization effect on local weather. The result showed that:1) WRF model had a well simulation result of meso-and-micro scale weather system,which can be used as the numeral simulation reference of the BTH region weather forecast. The WRF model had a better simulation result of horizontal and vertical resolution which would had a important effect on the fine scale weather forcast.2) As a finer underlying surface data can have a better simulation result, GLC2009 and ASTER data can be used in actual operational forecast. The difference among the land use classification standard would have some influence on the simulation result. In order to improve the simulation result of higher resolution micro-scale weather numeral simulation, not only to improve the resolution of land use data but also the distinction of the classification standard. A weather numeral simulation database consist of different simulation result produced by several underlying surface data as the classification difference would cause different result for some meteorological elements using the ensemble prediction. 3) The urban canopy model(single-level canopy model and multi-level canopy model) can improve the simulation result of WRF model. Multi-level canopy model(BEP) would have a better result than single-level canopy model(UCM). |
