Resources Science ›› 2015, Vol. 37 ›› Issue (9): 1785-1796.

• Orginal Article • Previous Articles     Next Articles

Selection of WRF land use/cover data and usage in urban heat island simulations

CAO Zheng1(), LIAN Lishu1(), GU Zongwei2, ZHU Pingsheng2, LI Baofu1   

  1. 1. Geography and Tourism College of Qufu Normal University,Rizhao 276826,China
    2. Meteorological Bureau of Zaozhuang,Zaozhuang 277000, China
  • Received:2014-09-23 Revised:2015-05-18 Online:2015-09-25 Published:2015-09-25


Given that WRF land use/cover data is delayed and incorrect, we selected three kinds of prevailing land use/cover data (MOD2012, GLC2009 and GLC2000) to compare with WRF inside LUCC data, and then selected LUCC data for UHI simulation. We found that MODIS2012 LUCC can best reveal the amount and spatial distribution of land use type among chosen data. When the MODIS2012 data is used in the WRF model, the correlation coefficient and rms error of simulated temperature, precipitation and wind speed is increased compared with simulation results, of which WRF inside LUCC data is used. The UHI intensity, which is 0.671 in study area, is strongest in October and weakest (0.467) in April. The maximum daily UHI intensity appears between 22:00 h to 23:00 h, and the minimum daily UHI intensity appears during 13:00 h to 14:00 h. Zaozhuang urban area has more influence on UHI intensity center location. Due to the influence of the prevailing wind, the UHI intensity center in Shizhong district of Zaozhuang and Tengzhou moves north in spring and summer, while the UHI intensity center in Shizhong district of Zaozhuang and Tengzhou moves south in autumn and winter. According to the temperature contribution of different land use types, the temperature contribution of built-up is the highest, and the smallest is that of water. The order of temperature contribution of different land use type is built-up> farmland > forest > unused >grassland > water.

Key words: land use/cover, WRF model, simulation, urban heat island, Zaozhuang City