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Volume 21 Issue 4
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A SPATIAL-TEMPORAL DISTRIBUTION CHARACTERISTICS STUDY ON THE ATMOSPHERIC CARBON DIOXIDE OBSERVED BY GOSAT SATELLITE REMOTE SENSING

  • Key Laboratory of Radiometric Calibration and Validation for Environmental Satellite, China Meteorological Administration National Satellite Meteorological Center, Beijing 100081 China


DOI: 10.16555/j.1006-8775.2015.04.009
  • Revised Date: 30 June, 2015
    Abstract
  • The variation of the atmospheric Carbon Dioxide (CO2) concentration plays an important role in global climate and agriculture. We analyzed the spatial-temporal characteristics of CO2 in the China region and around the globe with the CO2 column mixing ratios observed by the Japanese GOSAT satellite (Greenhouse Gases Observing Satellite). In order to make sure that the accuracy of the CO2 data retrieved by the satellite meets the needs of the climate characteristics analyses, we ran a validation on the CO2 column mixing ratios retrieved by the satellite against the ground-based TCCON (Total Carbon Column Observing Network) observation data. The result shows that the two sets of data have a correlation coefficient of higher than 0.7, and a bias of within 2.2 ppmv. Therefore, the GOSAT CO2 data can be used for the climate characteristics analysis of global CO2. Our analysis on the spatial-temporal characteristics of the CO2 column mixing ratios observed during the period of June 2009 through January 2014 proved that, with the impact of the natural emission of near ground CO2 and human activities, the global CO2 concentration has a significant latitudinal characteristics with its highest level averaging 390 ppmv in the 0-40oN latitudinal zone in the Northern Hemisphere, and 387 ppmv in the Southern Hemisphere. China has a relatively higher CO2 concentration with the highest level exceeding 398 ppmv, and the eastern area higher than the western area. The variation of global CO2 concentration shows a seasonal pattern, i.e. the CO2 concentration reaches its highest in spring in the Northern Hemisphere averaging more than 392 ppmv, second highest in winter, and lowest in summer averaging less than 387 ppmv. It fluctuates the most in the Northern Hemisphere with an average concentration of 392.5 ppmv in April, and 385.5 ppmv in July. While in the Southern Hemisphere, the seasonal fluctuation is smaller with the highest concentration occurring in July. Over the recent years, the global CO2 concentration has shown an elevating trend with an average annual increase rate of 1.58 ppmv per year. It is a challenge that the human kind has to face to slow down the increase of the CO2 concentration.
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  • [1]
    INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE. Climate Change 2007: The Physical Science Basis [M]. Cambridge: Cambridge University Press, 2007.
    [2]
    MASARIE K A, TANS P P. Extension and Integration of Atmospheric Carbon Dioxide Data into a Globally Consistent Measurement Record [J]. J Geophys Res, 1995, 100:11 593-11 610.
    [3]
    GUNTER W D, WONG S, CHEEL D B, et al. Large CO2 sinks: Their role in the mitigation of greenhouse gases from an international, national (Canadian) and provincial (Alberta) perspective [J]. Appl Energy, 1998, 61: 209-227.
    [4]
    ZHU Jian, HUANG Dan-qing, ZHOU Peng, et al. Simulating the response of non-uniformity of precipitation extremes over China to CO2 increasing by MIROC_HIRES model [J]. J Trop Meteorol, 2013, 19(4): 331-339.
    [5]
    LI Xin-zhou, LIU Xiao-dong. Numerical simulations of extreme precipitation in eastern China under A1B scenario [J]. J Trop Meteorol, 2014, 20(2): 121-134.
    [6]
    MA Li-ping, CHEN Lian-shou. The relationship between global warming and the variation in tropical cyclone frequency over the western North Pacific [J]. J Trop Meteorol, 2009, 15(1): 38-44.
    [7]
    WU Jian, LIU Jia. Variations of cloud fraction over East Asia under global warming conditions in the past 20 years [J]. J Trop Meteorol, 2013, 19(2): 171-180.
    [8]
    WORLD METEOROLOGICAL ORGANIZATION. The State of Green House Gases in the Atmosphere Using Global Observations through 2010 [M]. World Meteorological Organization, Greenhouse Gas Bulletin, 2011.
    [9]
    HUANG Y, SUN W J. Changes in topsoil organic carbon of croplands in mainland China over the last two decades [J]. Chin Sci Bull, 2006, 51: 1 785-1 803.
    [10]
    HUNGERSHOEFER K, BREON F M, PEYLIN P, et al. Evaluation of various observing systems for the global monitoring of CO2 surface fluxes [J]. Atmos Chem Phys, 2010, 10: 503-520.
    [11]
    GURNEY K R, LAW R M, DENNING A S, et al. Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models [J]. Nature, 2002, 415: 626-630.
    [12]
    BAKER D F, BOESCH H, DONEY S C, et al. Carbon source/sink information provided by column CO2 measurements from the Orbiting Carbon Observatory [J]. Atmos Chem Phys, 2010, 10: 4 145-4 165.
    [13]
    PALMER P I, FENG L, BOESCH H. Spatial resolution of tropical terrestrial CO2 fluxes inferred using space-borne CO2 sampled in different Earth orbits: The role of spatial error correlations [J]. Atmos Meas Tech, 2011, 4: 1 995-2 006.
    [14]
    CHEVALLIER F, ENGELEN R J, PEYLIN P. The contribution of AIRS data to the estimation of CO2 sources and sinks [J]. Geophys Res Lett, 2005, 32, L23801.
    [15]
    BOESCH H, BAKER D, CONNOR B, et al. Global characterization of CO2 column retrievals from shortwave-infrared satellite observations of the Orbiting Carbon Observatory-2 mission [J]. Remote Sens, 2011, 3: 270-304.
    [16]
    CHRISTI M J, STEPHENS G L. Retrieving profiles of atmospheric CO2 in clear sky and in the presence of thin cloud using spectroscopy from the near and thermal infrared: A preliminary case study [J]. J Geophys Res, 2004, 109: D04316.
    [17]
    KUANG Z, MARGOLIS J, TOON G, et al. Spaceborne measurements of atmospheric CO2 by high-resolution NIR spectrometry of reflected sunlight: An introductory study [J]. Geophys Res Lett, 2002, 29: 1 716.
    [18]
    MORINO I, UCHINO O, INOUE M, et al. Preliminary validation of column-averaged volume mixing ratios of carbon dioxide and methane retrieved from GOSAT short-wavelength infrared spectra [J]. Atmos Meas Tech, 2011, 4: 1 061-1 076.
    [19]
    NIES GOSAT. Summary of the GOSAT Level 2 Data Product Validation Activity. http://data.gosat.nies.go.jp/GosatUserInterface Gateway/guig/GuigPage/open.do,2012.
    [20]
    OSHCHEPKOV S, BRIL A, YOKOTA T. An improved photon path length probability density function-based radiative transfer model for space-based observation of greenhouse gases [J]. J Geophys Res, 2009, 114: D19207.
    [21]
    OSHCHEPKOV S, BRIL A, YOKOTA T, et al. Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space: Validation of PPDF-based CO2 retrievals from GOSAT [J]. J Geophys Res, 2012, 117: D12305.
    [22]
    BUTZ A, GUERLET S, HASEKAMP O, et al. Toward accurate CO2 and CH4 observations from GOSAT [J]. Geophys Res Lett, 2011, 38: L14812.
    [23]
    WUNCH D, TOON G C, BLAVIER J F L, et al. The total carbon column observing network [J]. Philos Trans R Soc A, 2011, 369: 2 087-2 112.
    [24]
    SHI N. Meteorological research and prediction of multivariate analysis methods [M]. Beijing: China Meteorological Press, 1995 (in Chinese).
    [25]
    COGAN A J, BOESCH H, PARKER R J, et al. Atmospheric carbon dioxide retrieved from the Greenhouse gases Observing Satellite (GOSAT): Comparison with ground-based TCCON observations and GEOS-Chem model calculations [J]. J Geophys Res, 2012, 117: D21301.
    [26]
    CHAHINE M T, CHEN L, DIMOTAKIS P, et al. Satellite remote sounding of mid-tropospheric CO2 [J]. Geophys Res Lett, 2008, 35: L12807.
    [27]
    ENTING I G, PIERMAN G I. Average global distribution of CO2 [M]. The global Carbon Cycle, HEIMANN M (ed.), NATO ASI Springer-Verlag, Berlin, 1993: 31-64.
    [28]
    DETTINGER M D, GHIL M. Seasonal and inter-annual variations of atmospheric CO2 and climate [J]. Tellus, 1998, 50B: 1-24.
    [29]
    BAI Wen-guang, ZHANG Xing-ying, ZHANG Peng. Temporal and distribution of tropospheric CO2 over China based on satellite observation [J]. Chinese Sci. Bull., 2010, 55(31): 3 612-3 618 (in Chinese).
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LIU Rui-xia, ZHANG Xing-ying, LIU Jie, et al. A SPATIAL-TEMPORAL DISTRIBUTION CHARACTERISTICS STUDY ON THE ATMOSPHERIC CARBON DIOXIDE OBSERVED BY GOSAT SATELLITE REMOTE SENSING[J]. Journal of Tropical Meteorology, 2015, 21(4): 408-416. DOI: 10.16555/j.1006-8775.2015.04.009
LIU Rui-xia, ZHANG Xing-ying, LIU Jie, et al. A SPATIAL-TEMPORAL DISTRIBUTION CHARACTERISTICS STUDY ON THE ATMOSPHERIC CARBON DIOXIDE OBSERVED BY GOSAT SATELLITE REMOTE SENSING[J]. Journal of Tropical Meteorology, 2015, 21(4): 408-416. DOI: 10.16555/j.1006-8775.2015.04.009
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  • Manuscript revised: 30 June, 2015

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