Evaluation of the Potential Use of Satellite-Derived XCO2 in Detecting CO2 Enhancement in Megacities with Limited Ground Observations: A Case Study in Seoul Using Orbiting Carbon Observatory-2

被引:0
|
作者
Chaerin Park
Sujong Jeong
Hoonyoung Park
Jeongmin Yun
Junjie Liu
机构
[1] Seoul National University,Department of Environmental Planning, Graduate School of Environmental Studies
[2] Seoul National University,School of Earth and Environmental Sciences
[3] California Institute of Technology,Jet Propulsion Laboratory
关键词
Urban CO; enhancement; Satellite XCO; OCO-2; Urban carbon cycle; Megacity;
D O I
暂无
中图分类号
学科分类号
摘要
Exact assessment of urban atmospheric CO2 enhancement, which is higher than background CO2 concentrations, is critical to mitigate carbon emissions in the city. However, ground-based atmospheric CO2 measurements covering the diverse landscape across the city are still limited. This study utilizes the column integrated CO2 concentration (XCO2) data obtained from the NASA Orbiting Carbon Observatory-2 (OCO-2) to evaluate urban CO2 enhancements over Seoul Capital Area (SCA) of South Korea for the period 2014–2018. In this study, Jirisan National Park (JNP), which is the cleanest area on the same orbit track with SCA, is defined as the background area considering its strong vegetation activity and low anthropogenic carbon emissions. By comparing XCO2 between SCA and JNP based on wind speed, we find an apparent increase in XCO2 by 1.71 to 2.21 ppm over SCA only on the days with wind speed less than 4 m s−1. Strong wind speed (e.g., over 4 m s−1) disrupts the identification of XCO2 enhancements over SCA due to atmospheric mixing between SCA and JNP. In addition, we compare estimated XCO2 differences between SCA and JNP from OCO-2 with other low-resolution data. This increase in XCO2 over SCA is only observed in OCO-2. Overall, our results suggest that high-resolution satellite remote sensing of XCO2 constrained by wind speed has strong potential to open up the possibility of identifying atmospheric CO2 enhancements in the city where ground-based observations are limited.
引用
收藏
页码:289 / 299
页数:10
相关论文
共 14 条
  • [1] Evaluation of the Potential Use of Satellite-Derived XCO2 in Detecting CO2 Enhancement in Megacities with Limited Ground Observations: A Case Study in Seoul Using Orbiting Carbon Observatory-2
    Park, Chaerin
    Jeong, Sujong
    Park, Hoonyoung
    Yun, Jeongmin
    Liu, Junjie
    ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2021, 57 (02) : 289 - 299
  • [2] Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China
    Guo, Kaiyuan
    Lei, Liping
    Sheng, Mengya
    Ji, Zhanghui
    Song, Hao
    REMOTE SENSING, 2024, 16 (13)
  • [3] The Adaptable 4A Inversion (5AI): description and first XCO2 retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations
    Dogniaux, Matthieu
    Crevoisier, Cyril
    Armante, Raymond
    Capelle, Virginie
    Delahaye, Thibault
    Casse, Vincent
    De Maziere, Martine
    Deutscher, Nicholas M.
    Feist, Dietrich G.
    Garcia, Omaira E.
    Griffith, David W. T.
    Hase, Frank
    Iraci, Laura T.
    Kivi, Rigel
    Morino, Isamu
    Notholt, Justus
    Pollard, David F.
    Roehl, Coleen M.
    Shiomi, Kei
    Strong, Kimberly
    Te, Yao
    Velazco, Voltaire A.
    Warneke, Thorsten
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2021, 14 (06) : 4689 - 4706
  • [4] Global Characterization of CO2 Column Retrievals from Shortwave-Infrared Satellite Observations of the Orbiting Carbon Observatory-2 Mission
    Boesch, Hartmut
    Baker, David
    Connor, Brian
    Crisp, David
    Miller, Charles
    REMOTE SENSING, 2011, 3 (02) : 270 - 304
  • [5] The potential of Orbiting Carbon Observatory-2 data to reduce the uncertainties in CO2 surface fluxes over Australia using a variational assimilation scheme
    Villalobos, Yohanna
    Rayner, Peter
    Thomas, Steven
    Silver, Jeremy
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (14) : 8473 - 8500
  • [6] Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2 Using Satellite Observations: A Case Study in China
    Guo, Lijie
    Lei, Liping
    Zeng, Zhao-Cheng
    Zou, Pengfei
    Liu, Da
    Zhang, Bing
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (01) : 376 - 385
  • [7] Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies
    Feldman, Andrew F.
    Zhang, Zhen
    Yoshida, Yasuko
    Chatterjee, Abhishek
    Poulter, Benjamin
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 23 (02) : 1545 - 1563
  • [8] Evaluation of light atmospheric plume inversion methods using synthetic XCO2 satellite images to compute Paris CO2 emissions
    Danjou, Alexandre
    Broquet, Gregoire
    Lian, Jinghui
    Breon, Francois-Marie
    Lauvaux, Thomas
    REMOTE SENSING OF ENVIRONMENT, 2024, 305
  • [9] Neural-network-based estimation of regional-scale anthropogenic CO2 emissions using an Orbiting Carbon Observatory-2 (OCO-2) dataset over East and West Asia
    Mustafa, Farhan
    Bu, Lingbing
    Wang, Qin
    Yao, Na
    Shahzaman, Muhammad
    Bilal, Muhammad
    Aslam, Rana Waqar
    Iqbal, Rashid
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2021, 14 (11) : 7277 - 7290
  • [10] Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity
    Kiel, Matthaus
    Eldering, Annmarie
    Roten, Dustin D.
    Lin, John C.
    Feng, Sha
    Lei, Ruixue
    Lauvaux, Thomas
    Oda, Tomohiro
    Roehl, Coleen M.
    Blavier, Jean-Francois
    Iraci, Laura T.
    REMOTE SENSING OF ENVIRONMENT, 2021, 258