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气象:2019,45(10):1476-1482
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陆面过程模式BCC_AVIM中地表覆盖数据现状
周文艳,罗勇,史学丽,李伟平,张艳武
(国家气候中心,北京 100081; 清华大学地球系统科学系,全球变化研究院,北京 100084)
Status of Land Cover Datasets for the BCC_AVIM Land Surface Model
ZHOU Wenyan,LUO Yong,SHI Xueli,LI Weiping,ZHANG Yanwu
(National Climate Centre, Beijing 100081; Center for Earth System Science/Institute for Global Change Studies of Tsinghua University, Beijing 100084)
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投稿时间:2018-10-22    修订日期:2019-07-15
中文摘要: 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。
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.
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基金项目:国家重点研究计划(2016YFA0602602、2017YFA0604304)、公益性行业(气象)科研专项(20150601)、国家重点研究计划和国家自然科学面上基金项目(41075057)共同资助
引用文本:
周文艳,罗勇,史学丽,李伟平,张艳武,2019.陆面过程模式BCC_AVIM中地表覆盖数据现状[J].气象,45(10):1476-1482.
ZHOU Wenyan,LUO Yong,SHI Xueli,LI Weiping,ZHANG Yanwu,2019.Status of Land Cover Datasets for the BCC_AVIM Land Surface Model[J].Meteor Mon,45(10):1476-1482.