陆面资料更新对郴州夏季2m气温和相对湿度模拟的影响

Impacts of Updated Land Surface Data on 2 m Temperature and Relative Humidity Simulation in Chenzhou during Summer

摘要:

使用WRF模式对郴州地区2022年夏季2 m温度和2 m相对湿度进行模拟，并对比分析采用两种高精度且高时效性的陆面资料（2022年MODIS土地利用数据，基于2022年MODIS NDVI反演的植被覆盖度数据）对WRF模式模拟结果的影响。结果表明：采用高精度且高时效性的陆面资料后可以明显改进郴州地区夏季2 m气温和2 m相对湿度的模拟，且70%站点改进变化显著，模拟预报准确率分别提高了8.21%和7.80%；2 m温度和2 m相对湿度对陆面资料的变化较为敏感，新资料植被覆盖度减少，植被类别改变和城市面积增加，使整体潜热降低、感热增加，导致郴州地区模拟结果2 m温度升高和2 m相对湿度降低。

Abstract:

By using the MODIS land use in 2022 and based on the vegetation coverage data retrieved from the MODIS NDVI (Normalized Difference Vegetation Index) in 2022, this study assesses the impact of land surface information on the performance of the Weather Research and Forecasting Model (WRF) over Chenzhou in summer. Results indicated that using the new high-resolution and high-timely land surface data can improve the simulated results of 2 m temperature and 2 m relative humidity, and 70% of stations experienced significant enhancement, with the hit rate increased by 8.21% and 7.80% in summer over Chenzhou; the 2 m temperature and 2 m relative humidity were very sensitive to the land surface data resolution. Specifically, the decrease in vegetation coverage, changes in vegetation types, and expansion of urban areas, as evidenced by new data, lead to a reduction in latent heat and an increase in sensible heat, which resulted in simulated higher 2 m temperatures and lower 2 m relative humidity in Chenzhou.