Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals

被引:36
|
作者
Wang, Hengmao [1 ]
Jiang, Fei [1 ,2 ]
Wang, Jun [1 ]
Ju, Weimin [1 ]
Chen, Jing M. [1 ,3 ]
机构
[1] Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
[2] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
[3] Univ Toronto, Dept Geog, Toronto, ON M5S3G3, Canada
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
GLOBAL FIRE EMISSIONS; ATMOSPHERIC CO2; REGIONAL CO2; SATELLITE-OBSERVATIONS; HIGH-RESOLUTION; SINKS; PERFORMANCE; CALIBRATION; VALIDATION; ALGORITHM;
D O I
10.5194/acp-19-12067-2019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, both the Greenhouse Gases Observing Satellite (GOSAT) and the Orbiting Carbon Observatory 2 (OCO-2) XCO2 retrievals produced by the NASA Atmospheric CO2 Observations from Space (ACOS) project (version b7.3) are assimilated within the GEOS-Chem 4D-Var assimilation framework to constrain the terrestrial ecosystem carbon flux during 1 October 2014 to 31 December 2015. One inversion for the comparison, using in situ CO2 observations, and another inversion as a benchmark for the simulated atmospheric CO2 distributions of the real inversions, using global atmospheric CO2 trends and referred to as the poor-man inversion, are also conducted. The estimated global and regional carbon fluxes for 2015 are shown and discussed. CO2 observations from surface flask sites and XCO2 retrievals from Total Carbon Column Observing Network (TCCON) sites are used to evaluate the simulated concentrations with the posterior carbon fluxes. Globally, the terrestrial ecosystem carbon sink (excluding biomass burning emissions) estimated from GOSAT data is stronger than that inferred from OCO-2 data, weaker than the in situ inversion and matches the poor-man inversion the best. Regionally, in most regions, the land sinks inferred from GOSAT data are also stronger than those from OCO-2 data, and in North America, Asia and Europe, the carbon sinks inferred from GOSAT inversion are comparable to those from in situ inversion. For the latitudinal distribution of land sinks, the satellite-based inversions suggest a smaller boreal and tropical sink but larger temperate sinks in both the Northern and Southern Hemisphere than the in situ inversion. However, OCO-2 and GOSAT generally do not agree on which continent contains the smaller or larger sinks. Evaluations using flask and TCCON observations and the comparisons with in situ and poor-man inversions suggest that only GOSAT and the in situ inversions perform better than a poor-man solution. GOSAT data can effectively improve the carbon flux estimates in the Northern Hemisphere, while OCO-2 data, with the specific version used in this study, show only slight improvement. The differences of inferred land fluxes between GOSAT and OCO-2 inversions in different regions are mainly related to the spatial coverage, the data amount and the biases of these two satellite XCO2 retrievals.
引用
收藏
页码:12067 / 12082
页数:16
相关论文
共 50 条
  • [1] Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis
    Sanghavi, Suniti
    Nelson, Robert
    Frankenberg, Christian
    Gunson, Michael
    [J]. REMOTE SENSING OF ENVIRONMENT, 2020, 251
  • [2] Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON
    Fang, Junjun
    Chen, Baozhang
    Zhang, Huifang
    Dilawar, Adil
    Guo, Man
    Liu, Chunlin
    Liu, Shu'an
    Gemechu, Tewekel Melese
    Zhang, Xingying
    [J]. REMOTE SENSING, 2023, 15 (20)
  • [3] Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO-2 XCO2 Retrievals
    He, Wei
    Jiang, Fei
    Ju, Weimin
    Chevallier, Frederic
    Baker, David F.
    Wang, Jun
    Wu, Mousong
    Johnson, Matthew S.
    Philip, Sajeev
    Wang, Hengmao
    Bertolacci, Michael
    Liu, Zhiqiang
    Zeng, Ning
    Chen, Jing M.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2023, 128 (14)
  • [4] Spectroscopic uncertainty impacts on OCO-2/3 retrievals of XCO2
    Hobbs, Jonathan M.
    Drouin, Brian J.
    Oyafuso, Fabiano
    Payne, Vivienne H.
    Gunson, Michael R.
    McDuffie, James
    Mlawer, Eli J.
    [J]. JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2020, 257
  • [5] CONSISTENCY IN XCO2 RETRIEVALS FROM SCIAMACHY, GOSAT AND OCO-2 FOR SPATIO-TEMPORAL CHARACTERISTICS AT A GLOBAL SCALE
    Lei, Liping
    Zhong, Hui
    Wu, Changjiang
    Zeng, Zhaocheng
    He, Zhonghua
    Wu, Yanhong
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 3120 - 3122
  • [6] Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO2 Retrievals
    Wang, Hengmao
    Jiang, Fei
    Liu, Yi
    Yang, Dongxu
    Wu, Mousong
    He, Wei
    Wang, Jun
    Wang, Jing
    Ju, Weimin
    Chen, Jing M.
    [J]. JOURNAL OF REMOTE SENSING, 2022, 2022
  • [7] OCO-2 XCO2 VALIDATION USING TCCON DATA
    Liang, Ailin
    Gong, Wei
    Han, Ge
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 830 - 833
  • [8] Analysis of 3D cloud effects in OCO-2 XCO2 retrievals
    Massie, Steven T.
    Cronk, Heather
    Merrelli, Aronne
    O'Dell, Christopher
    Schmidt, K. Sebastian
    Chen, Hong
    Baker, David
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2021, 14 (02) : 1475 - 1499
  • [9] A Robust Estimate of Continental-Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals
    Zhang, Lingyu
    Jiang, Fei
    He, Wei
    Wu, Mousong
    Wang, Jun
    Ju, Weimin
    Wang, Hengmao
    Zhang, Yongguang
    Sitch, Stephen
    Walker, Anthony P.
    Yue, Xu
    Feng, Shuzhuang
    Jia, Mengwei
    Chen, Jing M.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2023, 50 (06)
  • [10] Evaluation and attribution of OCO-2 XCO2 uncertainties
    Worden, John R.
    Doran, Gary
    Kulawik, Susan
    Eldering, Annmarie
    Crisp, David
    Frankenberg, Christian
    O'Dell, Chris
    Bowman, Kevin
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2017, 10 (07) : 2759 - 2771