气候变化研究进展2017，Vol.13Issue(2)：95-102,8.DOI:10.12006/j.issn.1673-1719.2016.152
基于SCIAMACHY反演数据的全球CO2浓度时空变化特征研究
Study on the Spatial-Temporal Change Characteristics of Global CO2 Concentration Based on SCIAMACHY Retrievals
摘要
Abstract
Retrieval estimation based on satellite spectrum characteristics is the principle means to observe the global carbon dioxide concentration and analyze its spatial-temporal tendency today. However, only discrete carbon dioxide concentration data can be obtained limited to the observation condition and retrieval technique. So spatial interpolation method is needed to produce continuous carbon dioxide concentration in space. In this study, the XCO2 concentration data released by the SCIAMACHY research team was taken as the basic data, several classical interpolation methods (IDW, Kriging, and Spline) were compared in the XCO2 concentration interpolation, and the error statistical indicators (MAE, Max_AE, RMSE) showed that IDW was the optimal method for this research. Then, spatial distribution data of XCO2 concentration in the global continent from January 2003 to April 2012 were produced based on IDW, and its spatial-temporal tendency was also analyzed. The XCO2 concentration in global scale all showed an increased trend during this period, and on the average level of the global continent, the increase of XCO2 concentration was 17.43×10-6, the average increase rate of XCO2 was about 2×10-6 per year, and the rate of increase in the Northern Hemisphere was higher than that in the Southern Hemisphere.关键词
SCIAMACHY/XCO2/空间插值/时空分析Key words
SCIAMACHY/XCO2/spatial interpolation/spatial-temporal analysis引用本文复制引用
赵明伟,李晨晨,张兴赢,王春,江岭,孙京禄..基于SCIAMACHY反演数据的全球CO2浓度时空变化特征研究[J].气候变化研究进展,2017,13(2):95-102,8.基金项目
国科技部 863 碳卫星项目 (2011AA12A104) （2011AA12A104）
公益气象行业专项 (GYHY201106045) （GYHY201106045）
高分辨率对地观测专项的气象行业应用示范项目(E310/1112) （E310/1112）
应用共性关键技术项 (32-Y20A17-9001-15/17) （32-Y20A17-9001-15/17）
滁州学院科研启动项目 (2015qd08) （2015qd08）
测绘遥感信息工程国家重点实验室开放基金项目 (14I02) （14I02）
