Ahmadov R.,C. Gerbig, R. Kretschmer, S. Körner, C. Rödenbeck, P. Bousquet, and M. Ramonet, 2009: Comparing high resolution WRF-VPRM simulations and two global CO2 transport models with coastal tower measurements of CO2. Biogeosciences, 6, 807-817, https://doi.org/10.5194/bg-6-807-2009 |
Andrews, A. E.,Coauthors, 2014: CO2, CO, and CH4 measurements from tall towers in the NOAA Earth System Research Laboratory's Global Greenhouse Gas Reference Network: Instrumentation, uncertainty analysis, and recommendations for future high-accuracy greenhouse gas monitoring efforts. Atmospheric Measurement Techniques, 7, 647-687, https://doi.org/10.5194/amt-7-647-2014 |
Baker, D. F.,Coauthors, 2006: TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988-2003. Global Biogeochemical Cycles, 20, GB1002, https://doi.org/10.1029/2004GB002439 |
Bakwin P. S.,P. P. Tans, D. F. Hurst, and C. L. Zhao, 1998: Measurements of carbon dioxide on very tall towers: Results of the NOAA/CMDL program. Tellus, 50B, 401-415, https://doi.org/10.3402/tellusb.v50i5.16216 |
Ballav, S., Coauthors, 2012: Simulation of CO2 concentration over East Asia using the regional transport model WRF-CO2. J. Meteor. Soc. Japan, 90(6), 959-976, https://doi.org/10.2151/jmsj.2012-607 |
Cheng S. Y.,L. X. Zhou, P. P. Tans, X. Q. An, and Y. S. Liu, 2018: Comparison of atmospheric CO2 mole fractions and source-sink characteristics at four WMO/GAW stations in China. Atmos. Environ., 180, 216-225, https://doi.org/10.1016/j.atmosenv.2018.03.010 |
Cheng Y. L.,X. Q. An, F. H. Yun, S. X. Fang, L. Xu, L. X. Zhou, and L. X. Liu, 2013: Simulation of CO2 variations at Chinese background atmospheric monitoring stations between 2000 and 2009: Applying a CarbonTracker model. Chinese Science Bulletin, 2013, 58, 3986-3993, https://doi.org/10.1007/s11434-013-5895-y |
Dee, D. P.,Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597, https://doi.org/10.1002/qj.828 |
Fang S. X.,L. X. Zhou, P. P. Tans, P. Ciais, M. Steinbacher, L. Xu, and T. Luan, 2014: In situ measurement of atmospheric CO2 at the four WMO/GAW stations in China. Atmospheric Chemistry and Physics, 14, 2541-2554, https://doi.org/10.5194/acp-14-2541-2014 |
Fukuyama Y.,2013: Atmospheric CO2 monthly concentration data, Yonagunijima, World Data Centre for Greenhouse Gases. Japan Meteorology Agency, Tokyo. [Available online at http://ds.data.jma.go.jp/gmd/wdcgg/ |
Gerbig C.,S. Körner, and J. C. Lin, 2008: Vertical mixing in atmospheric tracer transport models: Error characterization and propagation. Atmospheric Chemistry and Physics, 8, 591-602, https://doi.org/10.5194/acp-8-591-2008 |
Gurney, K. R.,Coauthors, 2002: Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models. Nature, 415, 6872, 626-630, https://doi.org/10.1038/415626a |
Hansen, J., Coauthors, 2007: Dangerous human-made interference with climate: A GISS modelE study. Atmospheric Chemistry and Physics, 7, 2287-2312, https://doi.org/10.5194/acp-7-2287-2007 |
IPCC, 2013: Climate Change 2013: The Physical Science Basis, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Report on Climate Change. Cambridge University Press, United Kingdom and New York, NY, USA, 1535 pp. |
Keeling C. D.,R. B. Bacastow, A. F. Carter, S. C. Piper, T. P. Whorf, M. Heimann, M. W. G. Mook, and H. Roeloffzen, 1989: A Three Dimensional Model of Atmospheric CO2 Transport Based on Observed Winds. I: Analysis of Observed Data. American Geophysical Union, Washington D. C., 165- 236.10.1029/GM055p0277992ac82fe029564288e986138c7dd58ehttp%3A%2F%2Fonlinelibrary.wiley.com%2Fresolve%2Freference%2FXREF%3Fid%3D10.1029%2FGM055p0165http://onlinelibrary.wiley.com/resolve/reference/XREF?id=10.1029/GM055p0165Temporal and spatial patterns of atmospheric carbon dioxide elucidate the global carbon cycle as it functions on time scales ranging from days to decades. In preparation for interpreting these patterns with a three-dimensional model of atmospheric tracer transport, we have summarized COmeasurements obtained by the Scripps Institution of Oceanography since 1957 from an array of stations between the Arctic Basin and the South Pole. Ten stations contributed to the array, supplemented by sampling on ships and ice floes. After applying consistent calibrating criteria to the full set of data, we have decomposed each record into an annually periodic signal and a seasonally adjusted time series, smoothed to emphasize interannual variations. We have computed harmonic coefficients to express the average seasonal cycle. We have determined seasonally adjusted concentrations for 1962, 1968, and annually from 1978 to 1986, to reflect slowly varying characteristics of the carbon cycle, and we have assembled these data in north-to-south profiles to reveal spatial patterns. We have similarly assembled isotopic data derived from measurements of the C/C isotopic ratio of atmospheric CO, made always on the same air measured for its COconcentration. We have extended the data sets for stations at Mauna Loa Observatory, Hawaii and the South Pole through 1988 to create a continuous time series which approximates the global change in COconcentration over 32 years and the isotopic ratio over 11 years. To establish interannual changes in the carbon cycle, we have developed a compartment model which treats the transfers of carbon between global atmospheric and terrestrial biospheric carbon pools, and between these pools and a world ocean in which vertical transport occurs by diffusion. In a variant to this model the oceanic submodel was replaced with a three-dimensional oceanic transport model. Both the concentration and isotopic ratio of COshow clearly defined seasonal cycles and evidence that the carbon cycle responds to El Ni o events that recur in the records approximately every 4 years. According to the isotopic data, oscillations in COassociated with El Ni o events are produced by opposing oceanic and biospheric fluxes several times larger than the net fluxes inferred from the COconcentration data alone. On a longer time scale the concentration data show a weak, approximately 11 year, cycle possibly driven by variations in solar irradiance. On a still longer time scale the data indicate that a larger apparent fraction of COfrom fossil fuel combustion has been retained in the air during the past 14 years than formerly, in spite of a reduced acceleration in worldwide fuel consumption which, according to the compartment model, should have led to a lesser retention in the air after 1974. The isotopic records suggest that this increased retention is partially a result of ocean warming, but is predominantly caused by an accelerated release of COby the terrestrial biosphere. |
Keppel-Aleks, G., Coauthors, 2012: The imprint of surface fluxes and transport on variations in total column carbon dioxide. Biogeosciences, 9, 875-891, https://doi.org/10.5194/bg-9-875-2012 |
Kretschmer R.,C. Gerbig, U. Karstens, and F.-T. Koch, 2012: Error characterization of CO2 vertical mixing in the atmospheric transport model WRF-VPRM. Atmospheric Chemistry and Physics, 12, 2441-2458,https://doi.org/10.5194/acp-12-2441-2012 |
Kretschmer R.,C. Gerbig, U. Karstens, G. Biavati, A. Vermeulen, F. Vogel, S. Hammer, and K. U. Totsche, 2014: Impact of optimized mixing heights on simulated regional atmospheric transport of CO2. Atmospheric Chemistry and Physics, 14, 7149-7172, https://doi.org/10.5194/acp-14-7149-2014 |
Krol M., S., and Coauthors, 2005: The two-way nested global chemistry-transport zoom model TM5: Algorithm and applications. Atmospheric Chemistry and Physics, 5, 417-432, https://doi.org/10.5194/acp-5-417-2005 |
Law, R. M.,Coauthors, 2008: TransCom model simulations of hourly atmospheric CO2: Experimental overview and diurnal cycle results for 2002. Global Biogeochemical Cycles, 22, GB3009, https://doi.org/10.1029/2007GB003050 |
Lin J. C.,C. Gerbig, 2005: Accounting for the effect of transport errors on tracer inversions. Geophys. Res. Lett., 32, L01802, https://doi.org/10.1029/2004GL021127 |
Patra, P. K.,Coauthors, 2008: TransCom model simulations of hourly atmospheric CO2: Analysis of synoptic-scale variations for the period 2002-2003. Global Biogeochemical Cycles, 22, GB4013, https://doi.org/10.1029/2007GB003081 |
Peters, W., Coauthors, 2007: An atmospheric perspective on North American carbon dioxide exchange: CarbonTracker. Proceedings of the National Academy of Sciences of the United States of America, 104, 18 925-18 930, https://doi.org/10.1073/pnas.0708986104 |
Peters, W., Coauthors, 2010: Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations. Global Change Biology, 16, 1317-1337, https://doi.org/10.1111/j.1365-2486.2009.02078.x |
Prather M. J.,X. Zhu, S. E. Strahan, S. D. Steenrod, and J. M. Rodriguez, 2008: Quantifying errors in trace species transport modeling. Proceedings of the National Academy of Sciences of the United States of America, 105, 19 617-19 621, https://doi.org/10.1073/pnas.0806541106 |
Qu, Y., Coauthors, 2013: Comparison of atmospheric CO2 observed by GOSAT and two ground stations in China. Int. J. Remote Sens., 34(11), 3938-3946, https://doi.org/10.1080/01431161.2013.768362 |
Sasaki H.,2006: Atmospheric CO2 hourly concentration data. Minamitorishima, Ryori and Yonagunijima, World Data Centre for Greenhouse Gases, Japan Meteorological Meteorological Agency. [Available online from http://gqw.kishou.go.jp/wdcgg.html |
Shim C.,J. Lee, and Y. X. Wang, 2013: Effect of continental sources and sinks on the seasonal and latitudinal gradient of atmospheric carbon dioxide over East Asia. Atmos. Environ., 79, 853-860, https://doi.org/10.1016/j.atmosenv.2013.07.055 |
Swathi P. S.,N. K. Indira, P. J. Rayner, M. Ramonet, D. Jagadheesha, B. C. Bhatt, and V. K. Gaur, 2013: Robust inversion of carbon dioxide fluxes over temperate Eurasia in 2006-2008. Current Science, 105, 201- 208. |
Takahashi, T., Coauthors, 2009: Climatological mean and decadal change in surface ocean pCO2, and net sea-air CO2 flux over the global oceans. Deep Sea Research Part II: Topical Studies in Oceanography, 56(8-10), 554-577, http://dx.doi.org/10.1016/j.dsr2.2008.12.009 |
Tans P. P.,I. Y. Fung, and T. Takahashi, 1990: Observational constraints on the global atmospheric CO2 budget. Science, 247(4949), 1431-1438, https://doi.org/10.1126/science.247.4949.1431 |
Tian, H. Q.,Coauthors, 2016: The terrestrial biosphere as a net source of greenhouse gases to the atmosphere. Nature, 531, 225-228, https://doi.org/10.1038/nature16946 |
Tolk L. F.,A. G. C. A. Meesters, A. J. Dolman, and W. Peters, 2008: Modelling representation errors of atmospheric CO2 mixing ratios at a regional scale. Atmospheric Chemistry and Physics, 8, 6587-6596, https://doi.org/10.5194/acp-8-6587-2008 |
Watson A. J.,N. Metzl, and U. Schuster, 2011: Monitoring and interpreting the ocean uptake of atmospheric CO2. Philosophical Transactions of the Royal Society A, 369, 1997-2008, https://doi.org/10.1098/rsta.2011.0060 |
Yang Z.,R. A. Washenfelder, G. Keppel-Aleks N. Krakauer, J. T. Rand erson, P. P. Tans, C. Sweeney, and P. O. Wennberg, 2007: New constraints on Northern Hemisphere growing season net flux. Geophys. Res. Lett., 34, L12807, https://doi.org/10.1029/2007GL029742 |
Zhang, D. Q.,Coauthors, 2008: Temporal and spatial variations of the atmospheric CO2 concentration in China. Geophys. Res. Lett., 35, L03801, https://doi.org/10.1029/2007GL032531 |
Zhou L. X.,D. E. J. Worthy, P. M. Lang, M. K. Ernst, X. C. Zhang, Y. P. Wen, and J. L.,2004: Ten years of atmospheric methane observations at a high elevation site in Western China. Atmos. Environ., 38, 7041-7054, https://doi.org/10.1016/j.atmosenv.2004.02.072 |
Zhou L. X.,J. W. C. White, T. J. Conway, H. Mukai, K. MacClune, X. C. Zhang, Y. P. Wen, and J. L. Li, 2006: Long-term record of atmospheric CO2 and stable isotopic ratios at Waliguan Observatory: Seasonally averaged 1991-2002 source/sink signals, and a comparison of 1998-2002 record to the 11 selected sites in the Northern Hemisphere. Global Biogeochemical Cycles, 20, GB2001, https://doi.org/10.1029/2004GB002431 |