Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai

被引:0
作者
Wu, Yu [1 ]
Xie, Yanan [1 ]
Wang, Rui [1 ]
机构
[1] Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金;
关键词
carbon dioxide (CO2); FIMAP-DOAS; PRISMA satellite; OCO-2; retrieval; CLOUD SHADOW DETECTION; CARBON-DIOXIDE; CO2; RETRIEVAL; REMOTE MEASUREMENTS; VERSION; 9; OCO-2; ALGORITHM; EMISSIONS; METHANE; URBANIZATION;
D O I
10.3390/atmos15030246
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As global warming intensifies, monitoring carbon dioxide (CO2) has increasingly become a focal point of research. Investigating urban XCO2 emission systems holds paramount importance, given the pivotal role of cities as major contributors to carbon emissions. Consequently, this study centers on urban locales, employing Shanghai as a case study for a comprehensive evaluation of regional XCO2 levels. We utilized high spatial resolution imagery from the PRecursore IperSpettrale della Missione Applicativa (PRISMA) satellite to conduct an XCO2 assessment over the Baoshan District with a 30 m spatial resolution from April 2021 to October 2022. Our XCO2 analysis was conducted in two steps. Firstly, we conducted a sensitivity analysis on key parameters in the inversion process, where cloud cover severely interfered with inversion accuracy. Therefore, we developed the Fmask 4.0 cloud removal and iterative maximum a posteriori differential optical absorption spectroscopy (FIMAP-DOAS) algorithm. This novel integration eliminated cloud interference during the inversion process, achieving high-precision CO2 detection in the region. Secondly, we compared the XCO2 of the region with Level-2 data from carbon monitoring satellites such as OCO-2. The comparison results showed a strong consistency, with a root mean squared error (RMSE) of 0.75 ppm for Shanghai XCO2 data obtained from the PRISMA satellite compared to OCO-2 Level-2 data and an RMSE of 1.49 ppm compared to OCO-3. This study successfully established a high-accuracy and high-spatial-resolution XCO2 satellite monitoring system for the Shanghai area. The efficacy of the FIMAP-DOAS algorithm has been demonstrated in CO2 monitoring and inversion within urban environments, with potential applicability to other cities.
引用
收藏
页数:16
相关论文
共 48 条
  • [1] Matched Filter Based on the Radiative Transfer Model for CO2 Estimation From PRISMA Hyperspectral Data
    Acito, Nicola
    Diani, M.
    Alibani, M.
    Corsini, G.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61 : 1 - 13
  • [2] The potential of satellite spectro-imagery for monitoring CO2 emissions from large cities
    Broquet, Gregoire
    Breon, Francois-Marie
    Renault, Emmanuel
    Buchwitz, Michael
    Reuter, Maximilian
    Bovensmann, Heinrich
    Chevallier, Frederic
    Wu, Lin
    Ciais, Philippe
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2018, 11 (02) : 681 - 708
  • [3] Toward accurate CO2 and CH4 observations from GOSAT
    Butz, A.
    Guerlet, S.
    Hasekamp, O.
    Schepers, D.
    Galli, A.
    Aben, I.
    Frankenberg, C.
    Hartmann, J. -M.
    Tran, H.
    Kuze, A.
    Keppel-Aleks, G.
    Toon, G.
    Wunch, D.
    Wennberg, P.
    Deutscher, N.
    Griffith, D.
    Macatangay, R.
    Messerschmidt, J.
    Notholt, J.
    Warneke, T.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2011, 38
  • [4] The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products
    Crisp, David
    Pollock, Harold R.
    Rosenberg, Robert
    Chapsky, Lars
    Lee, Richard A. M.
    Oyafuso, Fabiano A.
    Frankenberg, Christian
    O'Dell, Christopher W.
    Bruegge, Carol J.
    Doran, Gary B.
    Eldering, Annmarie
    Fisher, Brendan M.
    Fu, Dejian
    Gunson, Michael R.
    Mandrake, Lukas
    Osterman, Gregory B.
    Schwandner, Florian M.
    Sun, Kang
    Taylor, Tommy E.
    Wennberg, Paul O.
    Wunch, Debra
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2017, 10 (01) : 59 - 81
  • [5] Quantifying Global Power Plant Carbon Dioxide Emissions With Imaging Spectroscopy
    Cusworth, Daniel H.
    Duren, Riley M.
    Thorpe, Andrew K.
    Eastwood, Michael L.
    Green, Robert O.
    Dennison, Philip E.
    Frankenberg, Christian
    Heckler, Joseph W.
    Asner, Gregory P.
    Miller, Charles E.
    [J]. AGU ADVANCES, 2021, 2 (02):
  • [6] Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space
    Cusworth, Daniel H.
    Jacob, Daniel J.
    Varon, Daniel J.
    Miller, Christopher Chan
    Liu, Xiong
    Chance, Kelly
    Thorpe, Andrew K.
    Duren, Riley M.
    Miller, Charles E.
    Thompson, David R.
    Frankenberg, Christian
    Guanter, Luis
    Randles, Cynthia A.
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2019, 12 (10) : 5655 - 5668
  • [7] The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data
    Eldering, Annmarie
    Taylor, Thomas E.
    O'Dell, Christopher W.
    Pavlick, Ryan
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2019, 12 (04) : 2341 - 2370
  • [8] 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
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 23 (02) : 1545 - 1563
  • [9] Iterative maximum a posteriori (IMAP)-DOAS for retrieval of strongly absorbing trace gases:: Model studies for CH4 and CO2 retrieval from near infrared spectra of SCIAMACHY onboard ENVISAT
    Frankenberg, C
    Platt, U
    Wagner, T
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2005, 5 : 9 - 22
  • [10] Airborne methane remote measurements reveal heavy-tail flux distribution in Four Corners region
    Frankenberg, Christian
    Thorpe, Andrew K.
    Thompson, David R.
    Hulley, Glynn
    Kort, Eric Adam
    Vance, Nick
    Borchardt, Jakob
    Krings, Thomas
    Gerilowski, Konstantin
    Sweeney, Colm
    Conley, Stephen
    Bue, Brian D.
    Aubrey, Andrew D.
    Hook, Simon
    Green, Robert O.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (35) : 9734 - 9739