CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals

被引:8
|
作者
Zhang, Qinwei [1 ,2 ]
Li, Mingqi [3 ]
Wang, Maohua [4 ]
Mizzi, Arthur Paul [5 ]
Huang, Yongjian [1 ]
Wei, Chong [1 ]
Jin, Jiuping [1 ]
Gu, Qianrong [1 ]
机构
[1] Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai Carbon Data Res Ctr, Key Lab Low Carbon Convers Sci & Engn, Shanghai 201210, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Shanghai Adv Res Inst, Res Ctr Wireless Technol New Media, Shanghai 201210, Peoples R China
[4] Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
[5] Natl Ctr Atmospher Res, Boulder, CO 80305 USA
关键词
regional CO2 flux inversion; OCO-2; WRF-Chem; DART; ensemble adjustment Kalman filter; the contiguous United States; PHASE-SPACE RETRIEVALS; KALMAN FILTER; REGIONAL CO2; IN-SITU; ASSIMILATION SYSTEM; ATMOSPHERIC CO2; CARBON; GOSAT; ENSEMBLE; SURFACE;
D O I
10.3390/rs13152996
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High spatial resolution carbon dioxide (CO2) flux inversion systems are needed to support the global stocktake required by the Paris Agreement and to complement the bottom-up emission inventories. Based on the work of Zhang, a regional CO2 flux inversion system capable of assimilating the column-averaged dry air mole fractions of CO2 (XCO2) retrieved from Orbiting Carbon Observatory-2 (OCO-2) observations had been developed. To evaluate the system, under the constraints of the initial state and boundary conditions extracted from the CarbonTracker 2017 product (CT2017), the annual CO2 flux over the contiguous United States in 2016 was inverted (1.08 Pg C yr(-1)) and compared with the corresponding posterior CO2 fluxes extracted from OCO-2 model intercomparison project (OCO-2 MIP) (mean: 0.76 Pg C yr(-1), standard deviation: 0.29 Pg C yr(-1), 9 models in total) and CT2017 (1.19 Pg C yr(-1)). The uncertainty of the inverted CO2 flux was reduced by 14.71% compared to the prior flux. The annual mean XCO2 estimated by the inversion system was 403.67 ppm, which was 0.11 ppm smaller than the result (403.78 ppm) simulated by a parallel experiment without assimilating the OCO-2 retrievals and closer to the result of CT2017 (403.29 ppm). Independent CO2 flux and concentration measurements from towers, aircraft, and Total Carbon Column Observing Network (TCCON) were used to evaluate the results. Mean bias error (MBE) between the inverted CO2 flux and flux measurements was 0.73 g C m(-2) d(-1), was reduced by 22.34% and 28.43% compared to those of the prior flux and CT2017, respectively. MBEs between the CO2 concentrations estimated by the inversion system and concentration measurements from TCCON, towers, and aircraft were reduced by 52.78%, 96.45%, and 75%, respectively, compared to those of the parallel experiment. The experiment proved that CO2 emission hotspots indicated by the inverted annual CO2 flux with a relatively high spatial resolution of 50 km consisted well with the locations of most major metropolitan/urban areas in the contiguous United States, which demonstrated the potential of combing satellite observations with high spatial resolution CO2 flux inversion system in supporting the global stocktake.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals (vol 13, 2996, 2021)
    Zhang, Qinwei
    Li, Mingqi
    Wang, Maohua
    Mizzi, Arthur Paul
    Huang, Yongjian
    Wei, Chong
    Jin, Jiuping
    Gu, Qianrong
    [J]. REMOTE SENSING, 2022, 14 (06)
  • [2] Wildfire CO2 Emissions in the Conterminous United States from 2015 to 2018 as Estimated by the WRF-Chem Assimilation System from OCO-2 XCO2 Retrievals
    Jin, Jiuping
    Zhang, Qinwei
    Wei, Chong
    Gu, Qianrong
    Huang, Yongjian
    [J]. ATMOSPHERE, 2024, 15 (02)
  • [3] Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States
    Zhang, Qinwei
    Li, Mingqi
    Wei, Chong
    Mizzi, Arthur P.
    Huang, Yongjian
    Gu, Qianrong
    [J]. ATMOSPHERIC ENVIRONMENT, 2021, 246
  • [4] Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations
    Zheng, Tao
    Nassar, Ray
    Baxter, Martin
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (08)
  • [5] Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States (vol 246, 118106, 2021)
    Zhang, Qinwei
    Li, Mingqi
    Wei, Chong
    Mizzi, Arthur P.
    Huang, Yongjian
    Gu, Qianrong
    [J]. ATMOSPHERIC ENVIRONMENT, 2021, 266
  • [6] 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 (257):
  • [7] Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals
    Wang, Hengmao
    Jiang, Fei
    Wang, Jun
    Ju, Weimin
    Chen, Jing M.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (18) : 12067 - 12082
  • [8] 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)
  • [9] 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
  • [10] 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