地球信息科学学报 ›› 2015, Vol. 17 ›› Issue (11): 1278-1285.doi: 10.3724/SP.J.1047.2015.01278

• 全球卫星气候遥感数据 •    下一篇

卫星气候数据集的应用研究与发展分析

唐世浩1(), 刘荣高2   

  1. 1. 中国气象局 中国遥感卫星辐射测量和定标重点开放实验室 国家卫星气象中心,北京 100081
    2. 中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2015-04-23 修回日期:2015-05-26 出版日期:2015-11-10 发布日期:2015-11-10
  • 作者简介:

    作者简介:唐世浩(1971-),男,研究员,博士,研究方向为定量遥感产品反演与应用。E-mail: tangsh@cma.gov.cn

  • 基金资助:
    气象行业科研专项(GYHY201106014、GYHY201406001)

Research Progress of Satellite-based Climate Dataset

TANG Shihao1,*(), LIU Ronggao2   

  1. 1. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, CMA, Beijing 100081, China
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2015-04-23 Revised:2015-05-26 Online:2015-11-10 Published:2015-11-10
  • Contact: TANG Shihao E-mail:tangsh@cma.gov.cn
  • About author:

    *The author: CHEN Nan, E-mail:fjcn99@163.com

摘要:

卫星气候数据集是卫星气候研究的基础。在规范卫星气候数据集基本概念的基础上,针对现有基本气候数据集(FCDR)和专题气候数据集(TCDR)的分类方式,无法反映卫星气候数据特点的问题,认为应将专题气候数据集进一步划分为单一遥感仪器专题气候数据集、多种遥感仪器融合专题气候数据集及卫星与多源资料融合专题气候数据集等几类。这种分类方法便于用户更好地了解和使用卫星气候数据。然后,重点围绕基本气候变量和基本卫星气候变量含义、卫星气候数据集生产规范、国内外主要卫星气候数据生产计划等方面,综述了卫星气候数据集建设及规范化生产已取得的最新研究进展。在此基础上,分析了卫星气候数据集建设和应用中存在的主要问题,展望了卫星气候数据集发展,同时对我国卫星气候数据集建设提出具体建议。

关键词: 卫星, 遥感, 卫星气候, 卫星气候数据集, 气候变化

Abstract:

Climate dataset is the basis of satellite-based climate research. This paper formalizes some basic concepts of satellite data from the view of climate study first. On that basis, the classification problem of Climate Data Records(CDR) is discussed. The authors proposed that current classification method, which classifies CDR into two categories, FCDR(Fundamental Climate Data Record)and TCDR(Thematic Climate Data Record), is not enough to reflect the characteristics of remote sensing dataset. It‘s necessary to further classify TCDR into three categories, including dataset generated from single instrument, dataset generated from multiple instruments, and dataset generated from multiple sources. The advantage of this classification scheme is that it’s helpful to discriminate climate datasets which have the same name but generated from different data sources or by different algorithms. In this manner, users can understand and utilize the data more easily and correctly. Then, this paper introduces Essential Climate Variables (ECV), essential satellite-based climate variables and the guideline for the generation of satellite-based climate datasets respectively, and reviews the recent progresses made by NOAA, NASA, ESA and other international remote sensing organizations. The author especially emphasized that some guidelines and principles for the generation of satellite-based climate data records have been proposed and made common senses among the majority of international remote sensing organizations, and new climate data records following international standards are being produced. Finally, the paper discusses some issues faced during the construction and application of satellite-based climate datasets, and gives some specific suggestions on the development of China's satellite-based climate datasets.

Key words: satellite, remote sensing, satellite climatology, satellite-based climate dataset, climate change