【摘要】 地表覆盖是陆面和气候模式中的一个重要基础数据。以陆面过程模式BCC_AVIM为例,介绍模式中的地表覆盖数据变量、数据分辨率、不同类型数据的来源,重点比较分类方法差异巨大且类型众多的植被覆盖。综述比较了国际和国内常用的几套全球地表覆盖数据的来源、分类系统和分类方法以及空间分辨率,根据陆面过程模式的地表覆盖数据需求,确定不同全球土地覆盖数据在模式中的应用方法,讨论分析了全球地表覆盖产品在模式应用中存在的差距,提出不同遥感数据产品之间一致性较差的可能解决方案,探讨遥感数据产品在模式中应用的可能方式,以期更好地发挥全球地表覆盖数据产品的作用。更多还原

【Abstract】 The land cover(LC) data is an important basic input in land surface and climate models.The LC datasets are introduced in this paper by taking the BCC_AVIM model as an example,including the data resolution,sources of different land types,and especially the vegetation cover with different types and classification methods are comparatively analyzed.The available international and domestic global LC datasets about the sources,classification strategy methods,and spatial resolutions are briefly overviewed.The applications of the various LC datasets into the land surface model are briefly discussed.There are some gaps between LC datasets and model use.Then,the possible solution to the poor consistency among different LC remote sensing datasets and possible application methods of the LC datasets in numerical models are addressed so as to make better use of the global LC datasets.更多还原