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

Journal Article


Abstract


  • 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 PackageNo. 3 (CRDP3) focusing on the GHG-CCI core data products,which are column-averaged dryair

    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

    timeseries including initial validation results obtained by comparisons with Total Carbon ColumnObservingNetwork

    (TCCON) ground-based observations. We show that the GCOS requirements for systematic error (b1 ppm

    for XCO2, b10 ppb for XCH4) and long-termstability (b0.2 ppm/year for XCO2, b2 ppb/year for XCH4) aremet 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 ~1–2 ppm) but we also found significant differences depending on region and time period.

UOW Authors


  •   Buchwitz, Michael (external author)
  •   Reuter, Markus (external author)
  •   Schneising, O (external author)
  •   Hewson, Will (external author)
  •   Detmers, Rob (external author)
  •   Boesch, Hartmut (external author)
  •   Hasekamp, Otto (external author)
  •   Aben, Ilse (external author)
  •   Bovensmann, H (external author)
  •   Burrows, J P. (external author)
  •   Butz, Andre (external author)
  •   Chevallier, Frédéric (external author)
  •   Dils, Bart (external author)
  •   Frankenberg, Christian (external author)
  •   Heymann, Jens (external author)
  •   Lichtenberg, G (external author)
  •   de Maziere, Martine (external author)
  •   Notholt, Justus (external author)
  •   Parker, Robert J. (external author)
  •   Warneke, Thorsten (external author)
  •   Zehner, C (external author)
  •   Griffith, David
  •   Deutscher, Nicholas
  •   Kuze, A (external author)
  •   Suto, H (external author)
  •   Wunch, Debra (external author)

Publication Date


  • 2017

Citation


  • Buchwitz, M., Reuter, M., Schneising, O., Hewson, W., Detmers, R. G., Boesch, H., Hasekamp, O. P., Aben, I., Bovensmann, H., Burrows, J. P., Butz, A., Chevallier, F., Dils, B., Frankenberg, C., Heymann, J., Lichtenberg, G., De Maziere, M., Notholt, J., Parker, R., Warneke, T., Zehner, C., Griffith, D. W. T., Deutscher, N. M., Kuze, A., Suto, H. & 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: an interdisciplinary journal, 203 276-295.

Scopus Eid


  • 2-s2.0-85017506678

Number Of Pages


  • 19

Start Page


  • 276

End Page


  • 295

Volume


  • 203

Place Of Publication


  • United States

Abstract


  • 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 PackageNo. 3 (CRDP3) focusing on the GHG-CCI core data products,which are column-averaged dryair

    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

    timeseries including initial validation results obtained by comparisons with Total Carbon ColumnObservingNetwork

    (TCCON) ground-based observations. We show that the GCOS requirements for systematic error (b1 ppm

    for XCO2, b10 ppb for XCH4) and long-termstability (b0.2 ppm/year for XCO2, b2 ppb/year for XCH4) aremet 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 ~1–2 ppm) but we also found significant differences depending on region and time period.

UOW Authors


  •   Buchwitz, Michael (external author)
  •   Reuter, Markus (external author)
  •   Schneising, O (external author)
  •   Hewson, Will (external author)
  •   Detmers, Rob (external author)
  •   Boesch, Hartmut (external author)
  •   Hasekamp, Otto (external author)
  •   Aben, Ilse (external author)
  •   Bovensmann, H (external author)
  •   Burrows, J P. (external author)
  •   Butz, Andre (external author)
  •   Chevallier, Frédéric (external author)
  •   Dils, Bart (external author)
  •   Frankenberg, Christian (external author)
  •   Heymann, Jens (external author)
  •   Lichtenberg, G (external author)
  •   de Maziere, Martine (external author)
  •   Notholt, Justus (external author)
  •   Parker, Robert J. (external author)
  •   Warneke, Thorsten (external author)
  •   Zehner, C (external author)
  •   Griffith, David
  •   Deutscher, Nicholas
  •   Kuze, A (external author)
  •   Suto, H (external author)
  •   Wunch, Debra (external author)

Publication Date


  • 2017

Citation


  • Buchwitz, M., Reuter, M., Schneising, O., Hewson, W., Detmers, R. G., Boesch, H., Hasekamp, O. P., Aben, I., Bovensmann, H., Burrows, J. P., Butz, A., Chevallier, F., Dils, B., Frankenberg, C., Heymann, J., Lichtenberg, G., De Maziere, M., Notholt, J., Parker, R., Warneke, T., Zehner, C., Griffith, D. W. T., Deutscher, N. M., Kuze, A., Suto, H. & 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: an interdisciplinary journal, 203 276-295.

Scopus Eid


  • 2-s2.0-85017506678

Number Of Pages


  • 19

Start Page


  • 276

End Page


  • 295

Volume


  • 203

Place Of Publication


  • United States