全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于GOSAT卫星观测的大气CO2浓度与模型模拟的比较

DOI: 10.1007/s11430-013-4807-y, PP. 61-71

Keywords: GOSAT卫星,GEOS-Chem模型,大气CO2浓度,不一致性,区域比较

Full-Text   Cite this paper   Add to My Lib

Abstract:

?卫星从空间对大气CO2的实时观测可以客观地获取全球和区域大气CO2浓度的变化信息;另一方面,利用全球大气输送模型的数值模式模拟得到时空连续的全球大气CO2浓度是目前科学家们定性和定量地研究大气CO2全球输送过程及时空变化规律的主要途径之一.卫星观测和模型模拟以两种不同的方式为我们提供大气CO2浓度信息,但对于这两种方式所揭示的全球以及区域大气CO2浓度特征的差异还没有一个综合的对比分析与评价.本文收集2009年6月到2010年5月的GOSAT卫星观测数据,利用GEOS-Chem模型模拟了同时期全球大气CO2浓度,对比分析两种方式揭示的大气CO2时空变化特征差异,通过比较中国陆地与同纬度美国陆地区域的差异,评价分析卫星观测和模型模拟各自的合理性和不确定性.结果指出卫星GOSAT观测反演的大气CO2浓度总体低于模型模拟2ppm左右,与地面观测验证的结果相近.但是两者的差异在不同的区域上明显不同,在中国陆地区域显示了从0.6~5.6ppm很大的差值变化,而在全球陆地区域为1.6~3.7ppm、美国陆地区域为1.4~2.7ppm.卫星GOSAT观测与模型模拟在美国陆地显示了0.81的拟合优度,高于全球陆地区域的0.67和中国区域的0.68.综合分析结果指出在中国区域卫星观测与模型模拟的不一致性高于美国和全球,其原因与卫星观测反演算法中输入参数的不整合所引起的CO2浓度反演误差以及模型模拟中驱动参数数据的准确性有关.

References

[1]  NIES GOSAT Project. 2010. Algorithm theoretical basis document for CO2 and CH4 column amounts retrieval from GOSAT TANSO-FTS SWIR, NIES-GOSAT-PO-017, V1.0
[2]  Ota Y, Yoshida Y, Yokota T. 2008. Study of retrieving column amount of carbon dioxide from satellite-based near-infrared observation of solar scatter light in clear sky condition-error estimation optimization of vertical pressure grid. J Remote Sens Soc Jpn, 128, 2: 152-160
[3]  Reuter M, Bovensmann H, Buchwitz M, et al. 2011. Retrieval of atmospheric CO2 with enhanced accuracy and precision from SCIAMACHY: Validation with FTS measurements and comparison with model results. J Geophys Res, 116: D04301, doi: 10.1029/2010JD015047
[4]  Schneising O, Buchwitz M, Burrows J P, et al. 2008. Three years of greenhouse gas column-averaged dry air mole fractions retrieved from satellite-Part 1: Carbon dioxide. Atmos Chem Phys, 8: 3827-3853
[5]  Solomon S, Qin D, Manning M, et al. 2007. Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). Cambridge: Cambridge University Press
[6]  Suntharalingam P, Jacob D J, Palmer P I, et al. 2004. Improved quantification of Chinese carbon fluxes using CO2/CO correlations in Asian outflow. J Geophys Res, 109: D18S18, doi: 10.1029/2003JD004362
[7]  Uchino O, Kikuchi N, Sakai T, et al. 2012. Influence of aerosols and thin cirrus clouds on the GOSAT-observed CO2: A case study over Tsukuba. Atmos Chem Phys, 12: 3393-3404
[8]  Wunch D, Toon G C, Blavier J F L, et al. 2011a. The total carbon column observing network. Philos Trans R Soc A-Math Phys Eng Sci, 369: 2087-2112
[9]  Wunch D, Wennberg P O, Toon G C, et al. 2011b. A method for evaluating bias in global measurements of CO2 total columns from space. Atmos Chem Phys, 11: 12317-12337
[10]  Yokota T, Yoshida Y, Eguchi N, et al. 2009. Global concentrations of CO2 and CH4 retrieved from GOSAT: First preliminary results. Sola, 5: 160-163
[11]  孔少飞, 陆炳, 韩斌, 等. 2010. 天津近海大气中CH4, N2O和CO2季节变化分析. 中国科学: 地球科学, 40: 666-676
[12]  刘立新, 周凌晞, 张晓春, 等. 2009. 我国4个国家级本底站大气CO2浓度变化特征. 中国科学D辑: 地球科学, 39: 222-228
[13]  曾招城, 雷莉萍, 郭丽洁. 等. 2013. 结合时间相关特征改进中国区域二氧化碳卫星观测数据的地统计分析. 科学通报, 58: 497
[14]  周涛, 仪垂祥, Bakwin P S, 等. 2008. 大气CO2浓度变化与生物群系气候异常之间的关联分析. 中国科学D辑: 地球科学, 38: 224-231
[15]  Andres R J, Marland G, Fung I, et al. 1996. A 1°×1° distribution of carbon dioxide emissions from fossil fuel consumption and cement manufacture. Glob Biogeochem Cycle, 10: 419-429
[16]  Baker D F, Law R M, Gurney K M, et al. 2006. TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988-2003. Glob Biogeochem Cycle, 20: GB1002, doi: 10.1029/2004GB002439
[17]  Bey I, Jacob D J, Yantosca R M, et al. 2001. Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation. J Geophys Res, 106: D19, 23073-23095
[18]  Boden T A, Marland G, Andres R J. 1995. Estimates of global, regional, and national annual CO2 emissions from fossil-fuel burning, hydraulic cement production, and gas flaring: 1950-1992. Environ Sci Div, doi: 10.2172/207068
[19]  Bovensmann H, Buchwitz M, Burrows J P, et al. 2010. A remote sensing technique for global monitoring of power plant CO2 emissions from space and related applications. Atmos Meas Tech, 3: 781-811
[20]  Butz A, Guerlet S, Hasekamp O, et al. 2011. Toward accurate CO2 and CH4 observations from GOSAT. Geophys Res Lett, 38: L14812, doi: 10.1029/2011GL047888
[21]  Canadell J G, Corinne Le Quéré, Raupach M R, et al. 2007. Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. Proc Natl Acad Sci USA, 104: 18866-18870
[22]  Chevallier F, Breon F M, Rayner P J. 2007. Contribution of the orbiting carbon observatory to the estimation of CO2 sources and sinks: Theoretical study in a variational data assimilation framework. J Geophys Res, 112: D09307, doi: 10.1029/2006JD007375
[23]  Cogan A J, Boesch H, Parker R J, et al. 2012. Atmospheric carbon dioxide retrieved from the Greenhouse gases Observing SATellite (GOSAT): Comparison with ground-based TCCON observations and GEOS-Chem model calculations. J Geophys Res, 117: D21301, doi: 10.1029/2012JD018087
[24]  Crisp D, Atlas R M, Breon F M, et al. 2004. The orbiting carbon observatory (OCO) mission. Adv Space Res, 34: 700-709
[25]  Feng L, Palmer P I, Yang Y, et al. 2011. Evaluating a 3-D transport model of atmospheric CO2 using ground-based, aircraft, and space-borne data. Atmos Chem Phys, 11: 2789-2803
[26]  Gurney K R, Chen Y H, Maki T, et al. 2005. Sensitivity of atmospheric CO2 inversions to seasonal and interannual variations in fossil fuel emissions. J Geophys Res, 110: D10308, doi: 10.1029/2004JD005373
[27]  Gregg J S, Andres R J, Marland G. 2008. China: Emissions pattern of the world leader in CO2 emissions from fossil fuel consumption and cement production. Geophys Res Lett, 35: L08806, doi: 10.1029/2007GL032887
[28]  Houweling S, Breon F M, Aben I, et al. 2004. Inverse modeling of CO2 sources and sinks using satellite data: A synthetic inter-comparison of measurement techniques and their performance as a function of space and time. Atmos Chem Phys, 4: 523-538
[29]  Hungershoefer K, Breon F M, Peylin P, et al. 2010. Evaluation of various observing systems for the global monitoring of CO2 surface fluxes. Atmos Chem Phys, 10: 10503-10520
[30]  Ingmann P, Veihelmann B, Langen J, et al. 2012. Requirements for the GMES atmosphere service and ESA''s implementation concept: Sentinels-4/-5 and -5p. Remote Sens Environ, 120: 58-69
[31]  Marland G, Boden T A, Andres R J. 2008. Global, regional, and national fossil fuel CO2 emissions. In Trends: A Compendium of Data on Global Change. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory. U.S. Department of Energy, Oak Ridge, Tenn., U.S.
[32]  Nassar R, Jones D B A, Suntharalingam P, et al. 2010. Modeling global atmospheric CO2 with improved emission inventories and CO2 production from theoxidation of other carbon species. Geosci Model Dev, 3: 689-716
[33]  NIES GOSAT Project. 2012. Summary of the GOSAT Level 2 data products validation activity. GOSAT Project

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133