基于不同土地利用产品的华东地区夏季陆气相互作用模拟研究  

Simulation of Summer Land Air Interactions in East China Based on Different Land Use Products

作　　者：昝雨露 高艳红 蒋盈沙 苏培玺 ZAN Yulu;GAO Yanhong;JIANG Yingsha;SU Peixi(Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions,Northwest Institute of Ecology and Environmental Resources,Chinese Academy of Sciences,Lanzhou 730000,Gansu,China;University of Chinese Academy of Sciences,Beijing 100049,China;Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences,Fudan University,Shanghai 200438,China)

机构地区：[1]中国科学院西北生态环境资源研究院/中国科学院寒旱区陆面过程与气候变化重点实验室,甘肃兰州730000 [2]中国科学院大学,北京100049 [3]复旦大学大气与海洋科学系/大气科学研究院,上海200438

出　　处：《高原气象》2023年第3期687-700,共14页Plateau Meteorology

基　　金：国家重点研发计划项目(2017YFC1502101)。

摘　　要：土地利用和土地覆盖变化(Land Use and Land Cover Chang,LUCC)通过影响局地陆面过程及陆气相互作用进而影响局地天气和气候。为探究LUCC产品对陆气相互作用的影响,本文采用了三套LUCC产品,包括USGS、Landsat和MODIS,模拟研究不同LUCC产品对华东地区土壤和近地面温度、湿度的影响。结果表明,不同LUCC产品的土地利用类型差异主要在城市、农田和以草地、森林为主的自然植被。与USGS产品相比,Landsat和MODIS产品的城市和森林面积分别增加了2%和15%以上,农田面积则减少了17%左右。模拟结果表明,Landsat和MODIS产品的城市面积增加导致该区域的土壤温度和湿度增加,感热通量分别增加了28.1 W·m^(-2)、68.3 W·m^(-2),潜热通量分别减少了28.3 W·m^(-2)、81 W·m^(-2),这使得2 m气温增加了1.5℃左右,相对湿度减小了约9%。USGS产品中的农田和草地在Landsat和MODIS中改变为森林也使得土壤温度、湿度和近地面能量通量、温度和湿度的空间分布随之产生变化,但相比于城市面积改变导致的变化较为复杂。此外,不同LUCC产品之间的城市面积变化对土壤温度、湿度和近地面能量通量、温度和湿度的影响要大于农田和自然植被变化产生的影响。最后,对比三个试验模拟的土壤温度、土壤湿度、2 m气温和相对湿度结果与GLDAS(the Global Land Data Assimilation System)或站点观测资料的相关性、均方根误差、平均偏差和认同指数可以发现,使用更准确、细致的Landsat产品的模式对近地面气象条件的模拟性能要优于USGS和MODIS产品模拟结果。Land use and land cover change(LUCC)affects local weather and climate by influencing local land surface processes and land-air interactions.To investigate the effects of the LUCC products on land-air interactions,this paper uses three sets of LUCC data,USGS,Landsat and MODIS,to simulate and study the effects of the LUCC products on soil and near-surface temperatures and humidity in East China.The results show that the differences in land use types among the LUCC products are mainly in urban,agricultural land and natural vegetation dominated by grasslands and forests.Compared with USGS,Landsat and MODIS urban and forest areas increased by more than 2%and 15%,respectively,while the agricultural area decreased by about 17%.The increase in Landsat and MODIS urban areas increased soil temperature and moisture,and increased sensible heat flux by 28.1 W·m^(-2)and 68.3 W·m^(-2),respectively,and decreased latent heat flux by 28.3 W·m^(-2)and 81 W·m^(-2)respectively,increasing 2-m air temperature by about 1.5℃and decreasing relative humidity by about 9%.The change of agricultural and grassland in USGS to forests in Landsat and MODIS changed the spatial distribution of soil temperature,moisture,and near-surface energy fluxes,temperature and humidity.However,these changes are more complex compared to the changes in the urban area.Additionally,urban area changes between LUCC products have a greater impact on soil temperature,moisture and near-surface energy fluxes,temperature and humidity than agricultural and natural vegetation changes.Finally,by comparing the correlation,root mean square error,mean bias and index of agreement of the soil temperature,soil moisture,2 m temperature and relative humidity results of the three experiments with GLDAS(the Global Land Data Assimilation System),station observation data,it can be found that the simulation performance of near-surface meteorological conditions using the Landsat product(more accurate and detailed product)is better than that of USGS and MODIS product simulation resu

关 键 词：土地利用/土地覆盖变化 WRF模式数值模拟 城市扩张 陆气相互作用 

分 类 号：P461[天文地球—大气科学及气象学]