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陆面过程模式BCC_AVIM中地表覆盖数据现状
周文艳1, 罗勇2, 史学丽1, 李伟平1, 张艳武1
(1.国家气候中心;2.清华大学地球系统科学研究中心/全球变化研究院)
2 Center for Earth System Science/Institute for Global Change StudiesTsinghua University
zhouwenyan1, luoyong2, shixueli1, liweiping1, 张艳武1
(1.National climate center;2.Tsinghua University)
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投稿时间:2018-10-22    修订日期:2019-08-08
中文摘要: 本文以陆面过程模式BCC_AVIM为例,介绍陆面过程模式地表覆盖数据变量,数据分辨率,不同类型地表覆盖数据的来源,重点介绍分类方法差异巨大且类型众多的植被覆盖,阐述地表覆盖数据在气候数值模拟研究中的重要性。介绍了国际和国内流行的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大小,结合陆面过程模式中的地表覆盖数据来源资料和需求,给出全球土地覆盖数据在陆面过程模式中实际应用的具体处理方法,讨论和分析了全球地表覆盖产品在陆面过程模式中的应用存在一定的差距,提出不同遥感数据产品之间一致性较差的解决方法,探讨遥感数据产品在模式中应用的可能方式,更好发挥全球地表覆盖数据产品的作用。
Abstract:This paper mainly introduces the base data information of land cover in land surface model. Taking BCC_AVIM model as an example, it introduces the land surface basic data variables, data resolution and the sources of different types of land cover data. It mainly introduces the vegetation coverage with huge differences in classification methods and various types. The importance of land cover base data in numerical simulation of climate is described. This paper introduces the data sources, classification systems, classification methods and spatial resolution of global land cover data, which are domestic and international popular.In combination with the source and demand of data with the land surface model. the processing method of global land cover used in land surface model is given. The gap between the two and the solutions is discussed. The solutions for poor consistency between different remote sensing data products is proposed, and The possible ways of better application of remote sensing data products is also proposed in the model in the future. All is to play the role of global land cover data products.
文章编号:201810220466     中图分类号:    文献标志码:
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
引用文本:
周文艳,罗勇,史学丽,李伟平,张艳武,0.[en_title][J].Meteor Mon,():-.
zhouwenyan,luoyong,shixueli,liweiping,张艳武,0.2 Center for Earth System Science/Institute for Global Change StudiesTsinghua University[J].Meteor Mon,():-.