Temporal and distribution characteristic of CO<sub>2</sub> concentration over China based on GOSAT satellite data

Anjian DENG; Haibo GUO; Jie HU; Chengzhen JIANG; Peigeng LIU; Haifeng JING

doi:10.11834/jrs.20208324

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Temporal and distribution characteristic of CO₂ concentration over China based on GOSAT satellite data
Vol. 24, Issue 3, Pages: 319-325(2020)
Published： 07 March 2020 ，
DOI： 10.11834/jrs.20208324

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邓安健，郭海波，胡洁，姜成桢，刘培更，荆海峰.2020.GOSAT卫星数据监测中国大陆上空CO₂浓度时空变化特征.遥感学报，24（3）： 319-325

Deng A J， Guo H B， Hu J， Jiang C Z， Liu P G and Jing H F. 2020. Analysis of temporal and distribution characteristic of CO₂ concentration over China based on GOSAT satellite data. Journal of Remote Sensing（Chinese）， 24（3）： 319-325
邓安健，郭海波，胡洁，姜成桢，刘培更，荆海峰.2020.GOSAT卫星数据监测中国大陆上空CO₂浓度时空变化特征.遥感学报，24（3）： 319-325 DOI： 10.11834/jrs.20208324.

Deng A J， Guo H B， Hu J， Jiang C Z， Liu P G and Jing H F. 2020. Analysis of temporal and distribution characteristic of CO₂ concentration over China based on GOSAT satellite data. Journal of Remote Sensing（Chinese）， 24（3）： 319-325 DOI： 10.11834/jrs.20208324.

摘要

中国地区大气CO

浓度对全球气候变化有重要的影响。本文基于日本GOSAT卫星短波红外CO

的长期观测数据，对2010年—2016年中国大陆上空CO

浓度的分布特征和变化趋势进行分析研究。利用高精度的地基TCCON站点CO

观测对GOSAT CO

数据进行精度验证，结果表明，GOSAT CO

具有较高的精度，相对TCCON CO

的偏差为－1.04±2.10 ppm，两者的相关系数高达0.90；利用中国地区7年的GOSAT CO

观测数据分析研究显示，CO

浓度高值主要分布在中国的浙江—江苏—安徽地区、京津冀地区和湖南—湖北—河南—陕西地区；截至2016年，中国大部地区CO

浓度超过400 ppm；中国大陆CO

平均浓度呈现明显的逐年增长趋势，从2010年的387.76 ppm增长到2016年的402.18 ppm，年增长率约为2.31 ppm/a，略高于同期全球平均水平。

Abstract

Atmospheric CO

concentration over China has significant effects on the global climate change. To reliably predict the impact of atmospheric CO

on global climate change

it is necessary to clarify the distribution and variation of atmospheric CO

concentration. Based on long term short-wavelength infrared CO

dataset observed by GOSAT

the temporal variation and spatial distribution characteristics and variation trend of atmospheric CO

concentration was investigated and analysed over China during 2010 to 2016. To ensure the quality of GOSAT CO

dataset used in this paper

the GOSAT XCO

dataset was validated with high precise XCO

from ground-based TCCON sites. Multi-year mean of XCO

was illustrated to show the spatial heterogeneity of CO

concentration over China. Interannual variation and annual growth of XCO

was also presented and discussed. The results showed that GOSAT XCO

dataset was biased by -1.04±2.10 ppm with respect to TCCON XCO

and the correlation coefficient was 0.90 between them. Seven years (2010~2016) of GOSAT CO

dataset showed that high CO

concentrations were mainly located in Zhejiang-Jiangsu-Anhui region

Beijing-Tianjin-Hebei region

and Hunan-Hubei-Henan-Shanxi region in China. The CO

concentration reached 400 ppm over most regions in China until 2016. The annual average of CO

concentration showed an increase trend year by year over China

increasing from 387.76 in 2010 to 402.18 ppm in 2016. The annual growth rate of CO

concentration was evaluated to be 2.31 ppm/a during this period over China

which was slightly higher than the average in the world. This paper shows that the CO

concentration observations from satellites could provide some references for the climate change response strategies and atmospheric environment control.

关键词

CO2浓度分布模式CO2年增长率中国大陆GOSAT卫星

Keywords

CO2 concentrationdistribution patternannual growth rate of CO2China mainlandGOSAT

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Spatio-temporal characteristics of CO₂ in global land area from 2010 to 2020 based on GOSAT satellite data

Temporal and distribution characteristic of CO2 concentration over China based on GOSAT satellite data

DOI： 10.11834/jrs.20208324

摘要

Abstract

关键词

Keywords

references

Temporal and distribution characteristic of CO₂ concentration over China based on GOSAT satellite data