A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption

被引：20

作者：

Liu, Da ^{[1
,2
]}

Lei, Liping ^{[1
]}

Guo, Lijie ^{[1
,2
]}

Zeng, Zhao-Cheng ^{[1
,3
]}

机构：

[1] Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[3] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin 999077, Hong Kong, Peoples R China

来源：

ATMOSPHERE | 2015年 / 6卷 / 11期

基金：

国家高技术研究发展计划(863计划);

关键词：

temporal variation of Xco(2); clustering; emission and absorption; Greenhouse Gases Observing Satellite - Atmospheric CO2 Observations from Space (GOSAT-ACOS); NET PRIMARY PRODUCTIVITY; ATMOSPHERIC CO2; RETRIEVAL ALGORITHM; CARBON-CYCLE; SATELLITE-OBSERVATIONS; VALIDATION; DIOXIDE; FLUXES; MODEL;

D O I：

10.3390/atmos6111695

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Satellite observations can be used to detect the changes of CO2 concentration at global and regional scales. With the column-averaged CO2 dry-air mole fraction (Xco(2)) data derived from satellite observations, the issue is how to extract and assess these changes, which are related to anthropogenic emissions and biosphere absorptions. We propose a k-means cluster analysis to extract the temporally changing features of Xco(2) in the Central-Eastern Asia using the data from 2009 to 2013 obtained by Greenhouse Gases Observing Satellite (GOSAT), and assess the effects of anthropogenic emissions and biosphere absorptions on CO2 changes combining with the data of emission and vegetation net primary production (NPP). As a result, 14 clusters, which are 14 types of Xco(2) seasonal changing patterns, are obtained in the study area by using the optimal clustering parameters. These clusters are generally in agreement with the spatial pattern of underlying anthropogenic emissions and vegetation absorptions. According to correlation analysis with emission and NPP, these 14 clusters are divided into three groups: strong emission, strong absorption, and a tendency of balancing between emission and absorption. The proposed clustering approach in this study provides us with a potential way to better understand how the seasonal changes of CO2 concentration depend on underlying anthropogenic emissions and vegetation absorptions.

引用

页码：1695 / 1713

页数：19

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