Does GOSAT capture the true seasonal cycle of carbon dioxide

Abstract. The seasonal cycle accounts for a dominant mode of total column CO2 (XCO2) annual variability and is connected to CO2 uptake and release; it thus represents an important quantity to test the accuracy of the measurements from space. We quantitatively evaluate the XCO2 seasonal cycle of the Greenhouse Gases Observing Satellite (GOSAT) observations from the Atmospheric CO2 Observations from Space (ACOS) retrieval system and compare average regional seasonal cycle features to those directly measured by the Total Carbon Column Observing Network (TCCON). We analyse the mean seasonal cycle amplitude, dates of maximum and minimum XCO2, as well as the regional growth rates in XCO2 through the fitted trend over several years. We find that GOSAT/ACOS captures the seasonal cycle amplitude within 1.0 ppm accuracy compared to TCCON, except in Europe, where the difference exceeds 1.0 ppm at two sites, and the amplitude captured by GOSAT/ACOS is generally shallower compared to TCCON. This bias over Europe is not as large for the other GOSAT retrieval algorithms (NIES v02.21, RemoTeC v2.35, UoL v5.1, and NIES PPDF-S v.02.11), although they have significant biases at other sites. We find that the ACOS bias correction partially explains the shallow amplitude over Europe. The impact of the co-location method and aerosol changes in the ACOS algorithm were also tested and found to be few tenths of a ppm and mostly non-systematic. We find generally good agreement in the date of minimum XCO2 between ACOS and TCCON, but ACOS generally infers a date of maximum XCO2 2–3 weeks later than TCCON. We further analyse the latitudinal dependence of the seasonal cycle amplitude throughout the Northern Hemisphere and compare the dependence to that predicted by current optimized models that assimilate in situ measurements of CO2. In the zonal averages, models are consistent with the GOSAT amplitude to within 1.4 ppm, depending on the model and latitude. We also show that the seasonal cycle of XCO2 depends on longitude especially at the mid-latitudes: the amplitude of GOSAT XCO2 doubles from western USA to East Asia at 45–50° N, which is only partially shown by the models. In general, we find that model-to-model differences can be larger than GOSAT-to-model differences. These results suggest that GOSAT/ACOS retrievals of the XCO2 seasonal cycle may be sufficiently accurate to evaluate land surface models in regions with significant discrepancies between the models.

[1]  P. Palmer,et al.  Interpreting the variability of space-borne CO 2 column-averaged volume mixing ratios over North America using a chemistry transport model , 2008 .

[2]  J. Notholt,et al.  Automated ground-based remote sensing measurements of greenhouse gases at the Białystok site in comparison with collocated in situ measurements and model data , 2011 .

[3]  Shamil Maksyutov,et al.  Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations , 2014 .

[4]  Pieter P. Tans,et al.  Evidence for interannual variability of the carbon cycle from the National Oceanic and Atmospheric Administration/Climate Monitoring and Diagnostics Laboratory Global Air Sampling Network , 1994 .

[5]  Justus Notholt,et al.  Total Column Carbon Observing Network (TCCON) Site: Bremen , 2014 .

[6]  Justus Notholt,et al.  Total Column Carbon Observing Network (TCCON) Site: Orleans , 2014 .

[7]  Hartmut Boesch,et al.  Atmospheric carbon dioxide retrieved from the Greenhouse gases Observing SATellite (GOSAT): Comparison with ground‐based TCCON observations and GEOS‐Chem model calculations , 2012 .

[8]  Y. Sawa,et al.  Column‐averaged volume mixing ratio of CO2 measured with ground‐based Fourier transform spectrometer at Tsukuba , 2009 .

[9]  Fabienne Maignan,et al.  CO2 surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements , 2010 .

[10]  B. Connor,et al.  Intercomparison of remote sounding instruments , 1999 .

[11]  Dimitris Menemenlis,et al.  Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks , 2014 .

[12]  Sarah L. Dance,et al.  Estimating surface CO 2 fluxes from space-borne CO 2 dry air mole fraction observations using an ensemble Kalman Filter , 2008 .

[13]  Tapio Schneider,et al.  Sources of variations in total column carbon dioxide , 2010 .

[14]  Geoffrey C. Toon,et al.  Total Column Carbon Observing Network (TCCON) Site: Jet Propulsion Laboratory , 2014 .

[15]  David Crisp,et al.  Comparison of Cloud-Screening Methods Applied to GOSAT Near-Infrared Spectra , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[16]  S. Murayama,et al.  Longitudinally different variations of lower tropospheric carbon dioxide concentrations over the North Pacific Ocean , 1992 .

[17]  Tatsuya Yokota,et al.  Simultaneous retrieval of atmospheric CO2 and light path modification from space-based spectroscopic observations of greenhouse gases: methodology and application to GOSAT measurements over TCCON sites. , 2013, Applied optics.

[18]  Akihiko Kuze,et al.  Toward accurate CO_2 and CH_4 observations from GOSAT , 2011 .

[19]  John Robinson,et al.  Total Column Carbon Observing Network (TCCON) Site: Lauder 125HR , 2014 .

[20]  Rebecca Castano,et al.  A method for evaluating bias in global measurements of CO 2 total columns from space , 2011 .

[21]  Carl Ekdahl,et al.  Atmospheric carbon dioxide variations at Mauna Loa Observatory, Hawaii , 1976 .

[22]  David Crisp,et al.  Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[23]  S. Dance,et al.  Estimating surface CO2 fluxes from space-borne CO2 dry air mole fraction observations using an ensemble Kalman Filter , 2009 .

[24]  Pauli Heikkinen,et al.  Total Column Carbon Observing Network (TCCON) Site: Sodankyla , 2014 .

[25]  James T. Randerson,et al.  Differences between surface and column atmospheric CO2 and implications for carbon cycle research , 2004 .

[27]  Justus Notholt,et al.  Calibration of TCCON column-averaged CO2: the first aircraft campaign over European TCCON sites , 2011 .

[28]  Tapio Schneider,et al.  The imprint of surface fluxes and transport on variations in total column carbon dioxide , 2011 .

[29]  大山 博史 Column-averaged volume mixing ratio of CO2 measured with ground-based Fourier transform spectrometer at Tsukuba , 2009 .

[30]  S. Houweling,et al.  Reduced carbon uptake during the 2010 Northern Hemisphere summer from GOSAT , 2013 .

[31]  Tatsuya Yokota,et al.  Preliminary validation of column-averaged volume mixing ratios of carbon dioxide and methane retrieved from GOSAT short-wavelength infrared spectra , 2010 .

[32]  Hartmut Boesch,et al.  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 , 2013 .

[33]  A. Pitman The evolution of, and revolution in, land surface schemes designed for climate models , 2003 .

[34]  Hiroshi Watanabe,et al.  Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO2 retrievals over TCCON sites , 2013 .

[35]  Geoffrey C. Toon,et al.  Total Column Carbon Observing Network (TCCON) Site: Park Falls , 2014 .

[36]  O. Hasekamp,et al.  A joint effort to deliver satellite retrieved atmospheric CO 2 concentrations for surface flux inversions: the ensemble median algorithm EMMA , 2012 .

[37]  Shamil Maksyutov,et al.  TransCom 3 CO2 inversion intercomparison: 1. Annual mean control results and sensitivity to transport and prior flux information , 2003 .

[38]  Makoto Saito,et al.  On the Benefit of GOSAT Observations to the Estimation of Regional CO2 Fluxes , 2011 .

[39]  Tatsuya Yokota,et al.  Impact of aerosol and thin cirrus on retrieving and validating XCO2 from GOSAT shortwave infrared measurements , 2013 .

[40]  Taro Takahashi,et al.  Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models , 2002, Nature.

[41]  François-Marie Bréon,et al.  Contribution of the Orbiting Carbon Observatory to the estimation of CO2 sources and sinks: Theoretical study in a variational data assimilation framework , 2007 .

[42]  Rebecca Castano,et al.  The ACOS CO 2 retrieval algorithm – Part II: Global X CO 2 data characterization , 2012 .

[43]  D. Griffith,et al.  Solar Fourier transform infrared spectra (Wollongong) , 2014 .

[44]  Justus Notholt,et al.  The Total Carbon Column Observing Network , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[45]  Rebecca Castano,et al.  The ACOS CO 2 retrieval algorithm – Part 1: Description and validation against synthetic observations , 2011 .

[46]  James B. Abshire,et al.  Calibration of the Total Carbon Column Observing Network using aircraft profile data , 2010 .

[47]  S. Barnett,et al.  Philosophical Transactions of the Royal Society A : Mathematical , 2017 .

[48]  Ralf Sussmann,et al.  Total Column Carbon Observing Network (TCCON) Site: Garmisch , 2014 .

[49]  David Crisp,et al.  The Orbiting Carbon Observatory (OCO) mission , 2004 .

[50]  K. Strong,et al.  Consistent evaluation of GOSAT, SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON , 2015 .

[51]  Hartmut Boesch,et al.  The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets , 2013 .

[52]  Philippe Ciais,et al.  Benchmarking the seasonal cycle of CO2 fluxes simulated by terrestrial ecosystem models , 2015 .

[53]  Tatsuya Yokota,et al.  Global Concentrations of CO2 and CH4 Retrieved from GOSAT: First Preliminary Results , 2009 .

[54]  J. Randerson,et al.  An atmospheric perspective on North American carbon dioxide exchange: CarbonTracker , 2007, Proceedings of the National Academy of Sciences.

[55]  Tatsuya Yokota,et al.  Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data , 2013 .

[56]  Nicholas C. Parazoo,et al.  The covariation of Northern Hemisphere summertime CO 2 with surface temperature in boreal regions , 2013 .

[57]  Makoto Saito,et al.  Regional CO2 flux estimates for 2009–2010 based on GOSAT and ground-based CO2 observations , 2012 .

[58]  Martine De Mazière,et al.  Total Column Carbon Observing Network (TCCON) Site: Reunion Island , 2014 .

[59]  Fabienne Maignan,et al.  Global CO2 fluxes inferred from surface air-sample measurements and from TCCON retrievals of the CO2 total column , 2011 .

[60]  Kohei Arai,et al.  Total Column Carbon Observing Network (TCCON) Site: Saga , 2014 .

[61]  Masakatsu Nakajima,et al.  Thermal and near infrared sensor for carbon observation Fourier-transform spectrometer on the Greenhouse Gases Observing Satellite for greenhouse gases monitoring. , 2009, Applied optics.

[62]  Frank Hase,et al.  Total Column Carbon Observing Network (TCCON) Site: Izana , 2014 .

[63]  G. Toon,et al.  Carbon dioxide column abundances at the Wisconsin Tall Tower site , 2006 .

[64]  Liang Feng,et al.  Evaluating a 3-D transport model of atmospheric CO 2 using ground-based, aircraft, and space-borne data , 2010 .

[65]  Geoffrey C. Toon,et al.  Total Column Carbon Observing Network (TCCON) Site: Lamont , 2014 .

[66]  Brian J. Connor,et al.  Total Column Carbon Observing Network (TCCON) Site: Darwin , 2014 .

[67]  P. Rayner,et al.  The utility of remotely sensed CO2 concentration data in surface source inversions , 2001 .