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The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO₂ and CH₄ retrieval algorithm products with measurements from the TCCON

Dils, B. and Buchwitz, M. and Reuter, M. and Schneising, O. and Boesch, H. and Parker, R. and Guerlet, S. and Aben, I. and Blumenstock, T. and Burrows, J. P. and Butz, A. and Deutscher, N. M. and Frankenberg, C. and Hase, F. and Hasekamp, O. P. and Heymann, J. and De Mazière, M. and Notholt, J. and Sussmann, R. and Warneke, T. and Griffith, D. and Sherlock, V. and Wunch, D. (2014) The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO₂ and CH₄ retrieval algorithm products with measurements from the TCCON. Atmospheric Measurement Techniques, 7 (6). pp. 1723-1744. ISSN 1867-8548. https://resolver.caltech.edu/CaltechAUTHORS:20200529-093433440

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Abstract

Column-averaged dry-air mole fractions of carbon dioxide and methane have been retrieved from spectra acquired by the TANSO-FTS (Thermal And Near-infrared Sensor for carbon Observations-Fourier Transform Spectrometer) and SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric Cartography) instruments on board GOSAT (Greenhouse gases Observing SATellite) and ENVISAT (ENVIronmental SATellite), respectively, using a range of European retrieval algorithms. These retrievals have been compared with data from ground-based high-resolution Fourier transform spectrometers (FTSs) from the Total Carbon Column Observing Network (TCCON). The participating algorithms are the weighting function modified differential optical absorption spectroscopy (DOAS) algorithm (WFMD, University of Bremen), the Bremen optimal estimation DOAS algorithm (BESD, University of Bremen), the iterative maximum a posteriori DOAS (IMAP, Jet Propulsion Laboratory (JPL) and Netherlands Institute for Space Research algorithm (SRON)), the proxy and full-physics versions of SRON's RemoTeC algorithm (SRPR and SRFP, respectively) and the proxy and full-physics versions of the University of Leicester's adaptation of the OCO (Orbiting Carbon Observatory) algorithm (OCPR and OCFP, respectively). The goal of this algorithm inter-comparison was to identify strengths and weaknesses of the various so-called round- robin data sets generated with the various algorithms so as to determine which of the competing algorithms would proceed to the next round of the European Space Agency's (ESA) Greenhouse Gas Climate Change Initiative (GHG-CCI) project, which is the generation of the so-called Climate Research Data Package (CRDP), which is the first version of the Essential Climate Variable (ECV) "greenhouse gases" (GHGs). For XCO₂, all algorithms reach the precision requirements for inverse modelling (< 8 ppm), with only WFMD having a lower precision (4.7 ppm) than the other algorithm products (2.4–2.5 ppm). When looking at the seasonal relative accuracy (SRA, variability of the bias in space and time), none of the algorithms have reached the demanding < 0.5 ppm threshold. For XCH₄, the precision for both SCIAMACHY products (50.2 ppb for IMAP and 76.4 ppb for WFMD) fails to meet the < 34 ppb threshold for inverse modelling, but note that this work focusses on the period after the 2005 SCIAMACHY detector degradation. The GOSAT XCH₄ precision ranges between 18.1 and 14.0 ppb. Looking at the SRA, all GOSAT algorithm products reach the < 10 ppm threshold (values ranging between 5.4 and 6.2 ppb). For SCIAMACHY, IMAP and WFMD have a SRA of 17.2 and 10.5 ppb, respectively.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.5194/amt-7-1723-2014DOIArticle
ORCID:
AuthorORCID
Buchwitz, M.0000-0001-7616-1837
Reuter, M.0000-0001-9141-3895
Schneising, O.0000-0003-1725-8246
Boesch, H.0000-0003-3944-9879
Parker, R.0000-0002-0801-0831
Burrows, J. P.0000-0003-1547-8130
Butz, A.0000-0003-0593-1608
Deutscher, N. M.0000-0002-2906-2577
Frankenberg, C.0000-0002-0546-5857
Warneke, T.0000-0001-5185-3415
Griffith, D.0000-0002-7986-1924
Wunch, D.0000-0002-4924-0377
Additional Information:© Author(s) 2014. This work is distributed under the Creative Commons Attribution 3.0 License. Received: 30 Aug 2013 – Discussion started: 02 Oct 2013 – Revised: 22 Apr 2014 – Accepted: 22 Apr 2014 – Published: 17 Jun 2014. This work was primarily funded by ESA/ESRIN (GHG-CCI), with additional funds from EU FP7 (grant agreement no. 283576, MACC-II), DLR (SADOS), the State and the University of Bremen and PRODEX SECPEA/A3C. We thank the members of the GOSAT Project (JAXA, NIES, and Ministry of the Environment (MoE), Japan) for providing GOSAT Level 1B and Level 2 data products (GOSAT RA1PI project CONSCIGO). We also thank TCCON and related funding organizations (NASA grants NNX11AG01G, NAG5-12247 and NNG05-GD07G; NASA Orbiting Carbon Observatory Program; DOE ARM program; the Australian Research Council, DP0879468 and LP0562346; the EU projects IMECC, InGoS and GEOmon; and the Senate of Bremen). Edited by: H. Worden.
Funders:
Funding AgencyGrant Number
European Research Council (ERC)283576
Deutsches Zentrum für Luft- und Raumfahrt (DLR)UNSPECIFIED
State of BremenUNSPECIFIED
University of BremenUNSPECIFIED
European Space Agency (ESA) PROgramme for the Development of scientific EXperiments (PRODEX)UNSPECIFIED
NASANNX11AG01G
NASANAG5-12247
NASANNG05-GD07G
Orbiting Carbon Observatory (OCO)UNSPECIFIED
Department of Energy (DOE)UNSPECIFIED
Australian Research CouncilDP0879468
Australian Research CouncilLP0562346
Senate of BremenUNSPECIFIED
Issue or Number:6
Record Number:CaltechAUTHORS:20200529-093433440
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200529-093433440
Official Citation:Dils, B., Buchwitz, M., Reuter, M., Schneising, O., Boesch, H., Parker, R., Guerlet, S., Aben, I., Blumenstock, T., Burrows, J. P., Butz, A., Deutscher, N. M., Frankenberg, C., Hase, F., Hasekamp, O. P., Heymann, J., De Mazière, M., Notholt, J., Sussmann, R., Warneke, T., Griffith, D., Sherlock, V., and Wunch, D.: The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO2 and CH4 retrieval algorithm products with measurements from the TCCON, Atmos. Meas. Tech., 7, 1723–1744, https://doi.org/10.5194/amt-7-1723-2014, 2014.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:103556
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:01 Jun 2020 14:59
Last Modified:01 Jun 2020 14:59

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