Comparison of SCIAMACHY and AIRS CO 2 measurements over China from 2003 to 2005

Chao Wang; Runhe Shi; Cong Zhou; Chaoshun Liu; Wei Gao

doi:10.1117/12.893153

Comparison of SCIAMACHY and AIRS CO ₂ measurements over China from 2003 to 2005

Chao Wang
, Runhe Shi^*
, Cong Zhou
, Chaoshun Liu
, Wei Gao

^*Corresponding author for this work

School of Geographic Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Increased CO ₂ (carbon dioxide) has been considered as one of key factors of global warming. Intending to describe the capability of CO ₂ measurement by space-borne sensors quantitatively, this paper compares two data sets of CO ₂ monthly products retrieved from AIRS and SCIAMACHY over China from 2003 to 2005. The increasing trend of CO ₂ concentration can be detected consistently from both of the data sets. However, the seasonal variation of AIRS CO ₂ is larger than SCIAMACHY CO ₂ because the former represents CO ₂ existing in the mid-troposphere while the latter represents in the lower-troposphere. CO ₂ concentration reaches its yearly maximum in spring (April and May) and reaches its yearly minimum in late-autumn and winter (October to December and January) for both data sets. The coverage of AIRS monthly CO ₂ is much better than that of SCIAMACHY over China and it shows that Xinjiang, Tibet, Inner Mongolia and northeast China have higher values than other regions in China especially in April and May due to local climate and vegetation growth process.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability VIII
DOIs	https://doi.org/10.1117/12.893153
State	Published - 2011
Event	Remote Sensing and Modeling of Ecosystems for Sustainability VIII - San Diego, CA, United States Duration: 22 Aug 2011 → 23 Aug 2011

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8156
ISSN (Print)	0277-786X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability VIII
Country/Territory	United States
City	San Diego, CA
Period	22/08/11 → 23/08/11

Keywords

AIRS
Carbon dioxide (CO )
SCIAMACHY
Spatiotemporal distribution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1117/12.893153

Cite this

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title = "Comparison of SCIAMACHY and AIRS CO 2 measurements over China from 2003 to 2005",

abstract = "Increased CO 2 (carbon dioxide) has been considered as one of key factors of global warming. Intending to describe the capability of CO 2 measurement by space-borne sensors quantitatively, this paper compares two data sets of CO 2 monthly products retrieved from AIRS and SCIAMACHY over China from 2003 to 2005. The increasing trend of CO 2 concentration can be detected consistently from both of the data sets. However, the seasonal variation of AIRS CO 2 is larger than SCIAMACHY CO 2 because the former represents CO 2 existing in the mid-troposphere while the latter represents in the lower-troposphere. CO 2 concentration reaches its yearly maximum in spring (April and May) and reaches its yearly minimum in late-autumn and winter (October to December and January) for both data sets. The coverage of AIRS monthly CO 2 is much better than that of SCIAMACHY over China and it shows that Xinjiang, Tibet, Inner Mongolia and northeast China have higher values than other regions in China especially in April and May due to local climate and vegetation growth process.",

keywords = "AIRS, Carbon dioxide (CO ), SCIAMACHY, Spatiotemporal distribution",

author = "Chao Wang and Runhe Shi and Cong Zhou and Chaoshun Liu and Wei Gao",

year = "2011",

doi = "10.1117/12.893153",

language = "英语",

isbn = "9780819487667",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability VIII",

note = "Remote Sensing and Modeling of Ecosystems for Sustainability VIII ; Conference date: 22-08-2011 Through 23-08-2011",

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Wang, C, Shi, R, Zhou, C, Liu, C & Gao, W 2011, Comparison of SCIAMACHY and AIRS CO ₂ measurements over China from 2003 to 2005. in Remote Sensing and Modeling of Ecosystems for Sustainability VIII., 81560N, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, San Diego, CA, United States, 22/08/11. https://doi.org/10.1117/12.893153

Comparison of SCIAMACHY and AIRS CO ₂ measurements over China from 2003 to 2005. / Wang, Chao; Shi, Runhe; Zhou, Cong et al.
Remote Sensing and Modeling of Ecosystems for Sustainability VIII. 2011. 81560N (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8156).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Increased CO 2 (carbon dioxide) has been considered as one of key factors of global warming. Intending to describe the capability of CO 2 measurement by space-borne sensors quantitatively, this paper compares two data sets of CO 2 monthly products retrieved from AIRS and SCIAMACHY over China from 2003 to 2005. The increasing trend of CO 2 concentration can be detected consistently from both of the data sets. However, the seasonal variation of AIRS CO 2 is larger than SCIAMACHY CO 2 because the former represents CO 2 existing in the mid-troposphere while the latter represents in the lower-troposphere. CO 2 concentration reaches its yearly maximum in spring (April and May) and reaches its yearly minimum in late-autumn and winter (October to December and January) for both data sets. The coverage of AIRS monthly CO 2 is much better than that of SCIAMACHY over China and it shows that Xinjiang, Tibet, Inner Mongolia and northeast China have higher values than other regions in China especially in April and May due to local climate and vegetation growth process.

AB - Increased CO 2 (carbon dioxide) has been considered as one of key factors of global warming. Intending to describe the capability of CO 2 measurement by space-borne sensors quantitatively, this paper compares two data sets of CO 2 monthly products retrieved from AIRS and SCIAMACHY over China from 2003 to 2005. The increasing trend of CO 2 concentration can be detected consistently from both of the data sets. However, the seasonal variation of AIRS CO 2 is larger than SCIAMACHY CO 2 because the former represents CO 2 existing in the mid-troposphere while the latter represents in the lower-troposphere. CO 2 concentration reaches its yearly maximum in spring (April and May) and reaches its yearly minimum in late-autumn and winter (October to December and January) for both data sets. The coverage of AIRS monthly CO 2 is much better than that of SCIAMACHY over China and it shows that Xinjiang, Tibet, Inner Mongolia and northeast China have higher values than other regions in China especially in April and May due to local climate and vegetation growth process.

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