[1] IPCC Intergovernmental Panel on Climate Change. Climate change 2023: synthesis report[R], 35-115(2023).

[2] World Meteorological Organization. Greenhouse gas bulletin No. 19[R], 1-11(2023).

[3] Gilfillan D, Marland G. CDIAC-FF: global and national CO2 emissions from fossil fuel combustion and cement manufacture: 1751–2017[J]. Earth System Science Data, 13, 1667-1680(2021).

[4] Lin X J, van der A R, de Laat J et al. Monitoring and quantifying CO2 emissions of isolated power plants from space[J]. Atmospheric Chemistry and Physics, 23, 6599-6611(2023).

[5] Euan N, Ray W. Atmospheric science. Top-down versus bottom-up[J]. Science, 328, 1241-1243(2010).

[6] Fung P L, Al-Jaghbeer O, Pirjola L et al. Exploring the discrepancy between top-down and bottom-up approaches of fine spatio-temporal vehicular CO2 emission in an urban road network[J]. Science of the Total Environment, 901, 165827(2023).

[7] O’dell C W, Eldering A, Wennberg P O et al. Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm[J]. Atmospheric Measurement Techniques, 11, 6539-6576(2018).

[8] Noël S, Reuter M, Buchwitz M et al. Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm[J]. Atmospheric Measurement Techniques, 15, 3401-3437(2022).

[9] Liu Y, Wang J, Yao L et al. The TanSat mission: preliminary global observations[J]. Science Bulletin, 63, 1200-1207(2018).

[10] Guo W Y, Shi Y S, Liu Y et al. CO2 emissions retrieval from coal-fired power plants based on OCO-2/3 satellite observations and a Gaussian plume model[J]. Journal of Cleaner Production, 397, 136525(2023).

[11] Yang J X, Zhu Y D, Wang Q et al. Influence of surface reflectance and aerosol optical depth on performance of spaceborne integral path differential absorption lidar[J]. Chinese Journal of Lasers, 46, 0910001(2019).

[12] Chen W B, Liu J Q, Hou X et al. Lidar technology for atmosphere environment monitoring satellite[J]. Aerospace Shanghai, 40, 13-20, 110(2023).

[13] Lai K J, Bu L B, Wang Q et al. Inversion and validation of atmospheric CO2 column concentration inversion of spaceborne IPDA lidar based on atmospheric environment monitoring satellite[J]. Acta Optica Sinica, 44, 1201018(2024).

[14] Fan C C, Chen C, Liu J Q et al. Preliminary analysis of global column-averaged CO2 concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS[J]. Optics Express, 32, 21870-21886(2024).

[15] Cao X F, Zhang X Y, Zhang L et al. Averaging scheme for the aerosol and carbon detection LiDAR onboard DaQi-1 satellite[J]. IEEE Transactions on Geoscience and Remote Sensing, 62, 4103116(2024).

[16] Zhang H Y, Han G, Ma X et al. Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR[J]. Optics Express, 31, 11846-11863(2023).

[17] Rougier J, Brady A, Bamber J et al. The scope of the Kalman filter for spatio-temporal applications in environmental science[J]. Environmetrics, 34, e2773(2023).

[18] Kurtenbach E, Eicker A, Mayer-Gürr T et al. Improved daily GRACE gravity field solutions using a Kalman smoother[J]. Journal of Geodynamics, 59, 39-48(2012).

[19] Dong B, Bannister R, Chen Y M et al. Simplified Kalman smoother and ensemble Kalman smoother for improving reanalyses[J]. Geoscientific Model Development, 16, 4233-4247(2023).

[20] Hamill T M, Whitaker J S, Fiorino M et al. Global ensemble predictions of 2009’s tropical cyclones initialized with an ensemble Kalman filter[J]. Monthly Weather Review, 139, 668-688(2011).

[21] Skachko S, Ménard R, Errera Q et al. EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06)[J]. Geoscientific Model Development, 9, 2893-2908(2016).

[22] Feng L, Palmer P I, Bösch H et al. Estimating surface CO2 fluxes from space-borne CO2 dry air mole fraction observations using an ensemble Kalman filter[J]. Atmospheric Chemistry and Physics, 9, 2619-2633(2009).

[23] Todling R, Cohn S. Some strategies for Kalman filtering and smoothing[EB/OL]. https:∥www.ecmwf.int/en/elibrary/76707-some-strategies-kalman-filtering-and-smoothing

[24] Barratt S T, Boyd S P. Fitting a Kalman smoother to data[C], 1526-1531(2020).

[25] Särkkä S, Lennart S[M]. Bayesian filtering and smoothing, 253-266(2023).

[26] Callewaert S, Zhou M Q, Langerock B et al. A WRF-Chem study on the variability of CO[EB/OL](2). https:∥egusphere.copernicus.org/preprints/2023/egusphere-2023-2103/

[27] Callewaert S. WRF-Chem simulations of CO[EB/OL](2). https:∥data.aeronomie.be/dataset/wrf-chem-simulations-of-co2-ch4-and-co-around-xianghe-china

[28] Li C, Wang X H, Ye H H et al. Point source carbon emission measurement using portable EM27/SUN spectrometer: a case study of Hefei Wanneng power plant[J]. Acta Optica Sinica, 45, 0601003(2025).

[29] Seinfeld J H, Pandis S N, Noone K. Atmospheric chemistry and physics: from air pollution to climate change[J]. Physics Today, 51, 88-90(1998).

[30] Zheng B, Chevallier F, Ciais P et al. Observing carbon dioxide emissions over China’s cities and industrial areas with the Orbiting Carbon Observatory-2[J]. Atmospheric Chemistry and Physics, 20, 8501-8510(2020).

[31] Carbon Brief Ltd. Mapped: the world’s coal power plants[EB/OL]. https:∥cb.2x2.graphics/post/mapped-worlds-coal-power-plants