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Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set

Buchwitz, Michael and Reuter, Maximilian and Schneising, O and Hewson, W and Detmers, R. G. and Boesch, Hartmut and Hasekamp, Otto and Aben, Ilse and Bovensmann, Heinrich and Burrows, John P. and Butz, Andre and Chevallier, F and Dils, Bart and Frankenberg, C. and Heymann, J. and Lichtenberg, Günter and De Maiziere, M and Notholt, Justus and Parker, R and Warneke, T and Zehner, Claus and Griffith, D. W. T. and Deutscher, N. M. and Kuze, A. and Suto, H. and Wunch, D. (2017) Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set. Remote Sensing of Environment, 203, pp. 276-295. Elsevier. doi: 10.1016/j.rse.2016.12.027. ISSN 0034-4257.

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Official URL: https://www.sciencedirect.com/science/article/pii/S0034425716305065


"Carbon dioxide (CO2) and methane (CH4) are the two most important greenhouse gases emitted by mankind. Better knowledge of the surface sources and sinks of these Essential Climate Variables (ECVs) and related carbon uptake and release processes is needed for important climate change related applications such as improved climate modelling and prediction. Some satellites provide near-surface-sensitive atmospheric CO2 and CH4 observations that can be used to obtain information on CO2 and CH4 surface fluxes. The goal of the GHG-CCI project of the European Space Agency's (ESA) Climate Change Initiative (CCI) is to use satellite data to generate atmospheric CO2 and CH4 data products meeting demanding GCOS (Global Climate Observing System) greenhouse gas (GHG) ECV requirements. To achieve this, retrieval algorithms are regularly being improved followed by annual data reprocessing and analysis cycles to generate better products in terms of extended time series and continuously improved data quality. Here we present an overview about the latest GHG-CCI data set called Climate Research Data Package No. 3 (CRDP3) focusing on the GHG-CCI core data products, which are column-averaged dry-air mole fractions of CO2 and CH4, i.e., XCO2 and XCH4, as retrieved from SCIAMACHY/ENVISAT and TANSO/GOSAT satellite radiances covering the time period end of 2002 to end of 2014. We present global maps and time series including initial validation results obtained by comparisons with Total Carbon Column Observing Network (TCCON) ground-based observations. We show that the GCOS requirements for systematic error (<1ppm for XCO2, <10ppb for XCH4) and long-term stability (<0.2ppm/year for XCO2, <2ppb/year for XCH4) are met for nearly all products (an exception is SCIAMACHY methane especially since 2010). For XCO2 we present comparisons with global models using the output of two CO2 assimilation systems (MACC version 14r2 and CarbonTracker version CT2013B). We show that overall there is reasonable consistency and agreement between all data sets (within ~1-2ppm) but we also found significant differences depending on region and time period."

Item URL in elib:https://elib.dlr.de/114011/
Document Type:Article
Additional Information:ESA CCI GHG Project
Title:Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Buchwitz, MichaelIUP, Universität BremenUNSPECIFIED
Reuter, MaximilianIUP, Universität bremenUNSPECIFIED
Schneising, OIUP, Universität BremenUNSPECIFIED
Hewson, WUniversity of Leicester, UKUNSPECIFIED
Detmers, R. G.SRON Netherlands Institute for Space ResearchUNSPECIFIED
Boesch, HartmutUniversity of Leicester, UKUNSPECIFIED
Hasekamp, OttoSRON Netherlands Institute for Space ResearchUNSPECIFIED
Aben, IlseSRON Netherlands Institute for Space ResearchUNSPECIFIED
Bovensmann, HeinrichIUP, Universität BremenUNSPECIFIED
Burrows, John P.IUP, Universität BremenUNSPECIFIED
Butz, AndreKarlsruhe Institute of Technology (KIT), KarlsruheUNSPECIFIED
Chevallier, FLaboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette, FranceUNSPECIFIED
Dils, BartBelgian Institute for Space Aeronomy (BIRA), Brussels, BelgiumUNSPECIFIED
Frankenberg, C.california inst. of technology, pasadena, usaUNSPECIFIED
Heymann, J.IUP, Universität BremenUNSPECIFIED
Lichtenberg, GünterGuenter.Lichtenberg (at) dlr.deUNSPECIFIED
De Maiziere, MBelgian Institute for Space Aeronomy (BIRA), Brussels, BelgiumUNSPECIFIED
Notholt, JustusIUP, Universität BremenUNSPECIFIED
Parker, RUniversity of Leicester, UKUNSPECIFIED
Warneke, TIUP, Universität BremenUNSPECIFIED
Griffith, D. W. T.University of Wollongong, Wollongong, AustraliaUNSPECIFIED
Deutscher, N. M.IUP, Universität BremenUNSPECIFIED
Kuze, A.Japan Aerospace Exploration Agency (JAXA), Tsukuba, JapanUNSPECIFIED
Suto, H.Japan Aerospace Exploration Agency (JAXA), Tsukuba, JapanUNSPECIFIED
Wunch, D.California Institute of Technology, Pasadena, CA, United StatesUNSPECIFIED
Date:9 December 2017
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1016/j.rse.2016.12.027
Page Range:pp. 276-295
EditorsEmailEditor's ORCID iD
Keywords:SCIAMACHY, GOSAT, Greenhouse gases, Carbon dioxide, Methane, Climate change
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Lichtenberg, Günter
Deposited On:15 Sep 2017 11:14
Last Modified:11 Jan 2018 17:29

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