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Consistency in XCO_2 Retrievals from Sciamachy, Gosat and OCO-2 for Spatio-Temporal Characteristics at a Global Scale

Lei, Liping and Zhong, Hui and Wu, Changjiang and Zeng, Zhaocheng and He, Zhonghua and Wu, Yanhong (2018) Consistency in XCO_2 Retrievals from Sciamachy, Gosat and OCO-2 for Spatio-Temporal Characteristics at a Global Scale. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018). IEEE , Piscataway, NJ, pp. 3120-3122. ISBN 978-1-5386-7150-4. http://resolver.caltech.edu/CaltechAUTHORS:20181109-083621868

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Abstract

Long-term XCO_2 retrievals, which are obtained by the three measurements including SCIAMACHY, GOSAT and OCO-2, are publicly available from 2003 to date. These XCO_2 data can help us better understanding the underlying processes of uptake and release of CO_2 in biosphere and anthropogenic emissions at global scales via probing into the characteristics of the spatio-temporal variations of XCO_2 . We investigated the inconsistency of the spatio-temporal variations of XCO_2 in these three measurements by combining with NDVI data. We apply a global land mapping XCO_2 datasets generated by data-driven spatiotemporal geostatistics method to the correlation analysis with NDVI. As a result, XCO_2 demonstrate smooth variations in time without jumping in the time node between the three measurements. They demonstrate similar patterns of correlation coefficients with NDVI which could indicate the process of CO_2 interchange in biosphere-atmosphere.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/IGARSS.2018.8518288DOIArticle
https://ieeexplore.ieee.org/document/8518288PublisherArticle
Additional Information:© 2018 IEEE. This research was supported by the National Research Program on Global Changes and Adaptation: “Big data on global changes: data sharing platform and recognition” (Grant No. 2016YFA0600303, Grant No. 2016YFA0600304). We acknowledge the ACOS-GOSAT v3.5 data were produced by the ACOS/OCO-2 project at the Jet Propulsion Laboratory, California Institute of Technology, and obtained from the ACOS/OCO-2 data archive maintained at the NASA Goddard Earth Science Data and Information Services Center; the SCIAMACHY-XCO_2 BESD v02.01.01 data have been obtained from ESA (Europe Space Agency: http://www.esa-ghg-cci.org/). NIES v02.21 only contains the raw XCO_2 retrieval values, which has been downloaded from https://data.gosat.nies.go.jp/. We also acknowledge the GOSAT Project for acquiring the spectra; MODIS NDVI products MOD09 (MYD13C2, MOD11C3) were download from USGS websites (http://e4ftl01.cr.usgs.gov).
Funders:
Funding AgencyGrant Number
National Research Program on Global Changes and Adaptation2016YFA0600303
National Research Program on Global Changes and Adaptation2016YFA0600304
Subject Keywords:XCO_2, spatio-temporal variations, inconsistency, correlation
Record Number:CaltechAUTHORS:20181109-083621868
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20181109-083621868
Official Citation:L. Lei, H. Zhong, C. Wu, Z. Zeng, Z. He and Y. Wu, "Consistency in XCO2 Retrievals from Sciamachy, Gosat and OCO-2 for Spatio-Temporal Characteristics at a Global Scale," IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018, pp. 3120-3122. doi: 10.1109/IGARSS.2018.8518288
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:90785
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:13 Nov 2018 17:43
Last Modified:13 Nov 2018 17:43

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