{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T10:31:17Z","timestamp":1779013877869,"version":"3.51.4"},"reference-count":65,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T00:00:00Z","timestamp":1569369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41771179"],"award-info":[{"award-number":["41771179"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41871103"],"award-info":[{"award-number":["41871103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Atmosphere"],"abstract":"<jats:p>The biomass burning model (BBM) has been the most widely used method for estimation of trace gas emissions. Due to the difficulty and variability in obtaining various necessary parameters of BBM, a new method is needed to quickly and accurately calculate the trace gas emissions from wildfires. Here, we used satellite data from the Orbiting Carbon Observatory-2 (OCO-2) to calculate CO2 emissions from wildfires (the OCO-2 model). Four active wildfires in Siberia were selected in which OCO-2 points intersecting with smoke plumes identified by Aqua MODIS (MODerate-resolution Imaging Spectroradiometer) images. MODIS band 8, band 21 and MISR (Multi-angle Imaging SpectroRadiometer) data were used to identify the smoke plume area, burned area and smoke plume height, respectively. By contrast with BBM, which calculates CO2 emissions based on the bottom\u2013top mode, the OCO-2 model estimates CO2 emissions based on the top\u2013bottom mode. We used a linear regression model to compute CO2 concentration (XCO2) for each smoke plume pixel and then calculated CO2 emissions for each wildfire point. The CO2 mass of each smoke plume pixel was added to obtain the CO2 emissions from wildfires. After verifying our results with the BBM, we found that the biases were between 25.76% and 157.11% for the four active fires. The OCO-2 model displays the advantages of remote-sensing technology and is a useful tool for fire-emission monitoring, although we note some of its disadvantages. This study proposed a new perspective to estimate CO2 emissions from wildfire and effectively expands the applied range of OCO-2 satellite data.<\/jats:p>","DOI":"10.3390\/atmos10100581","type":"journal-article","created":{"date-parts":[[2019,9,26]],"date-time":"2019-09-26T03:06:51Z","timestamp":1569467211000},"page":"581","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Estimation of CO2 Emissions from Wildfires Using OCO-2 Data"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5856-4018","authenticated-orcid":false,"given":"Meng","family":"Guo","sequence":"first","affiliation":[{"name":"Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Science, Changchun 130102, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixiang","family":"Wen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubo","family":"Huang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.gloplacha.2016.06.002","article-title":"Disturbance and the carbon balance of us forests: A quantitative review of impacts from harvests, fires, insects, and droughts","volume":"143","author":"Williams","year":"2016","journal-title":"Glob. Planet. Chang."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1633","DOI":"10.1890\/08-2295.1","article-title":"Quantifying fire severity, carbon, and nitrogen emissions in Alaska\u2019s boreal forest","volume":"20","author":"Boby","year":"2010","journal-title":"Ecol. Appl."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3329","DOI":"10.5194\/gmd-10-3329-2017","article-title":"Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750\u20132015)","volume":"10","author":"Kloster","year":"2017","journal-title":"Geosci. Model Dev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1109\/TGRS.2013.2249073","article-title":"Automated stereo retrieval of smoke plume injection heights and retrieval of smoke plume masks from aatsr and their assessment with CALIPSO and MISR","volume":"52","author":"Fisher","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1111\/j.1365-2486.2008.01828.x","article-title":"Spatiotemporal fire occurrence in Borneo over a period of 10 years","volume":"15","author":"Langner","year":"2009","journal-title":"Glob. Chang. Biol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1007\/s10021-015-9920-7","article-title":"A canopy shift in interior Alaskan boreal forests: Consequences for above- and belowground carbon and nitrogen pools during post-fire succession","volume":"19","author":"Alexander","year":"2016","journal-title":"Ecosystems"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.envpol.2017.04.014","article-title":"CO2 emissions from the 2010 russian wildfires using gosat data","volume":"226","author":"Guo","year":"2017","journal-title":"Environ. Pollut."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4473","DOI":"10.5194\/acp-14-4473-2014","article-title":"Prescribed burning of logging slash in the boreal forest of Finland: Emissions and effects on meteorological quantities and soil properties","volume":"14","author":"Virkkula","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/BF00137988","article-title":"Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning","volume":"2","author":"Seiler","year":"1980","journal-title":"Clim. Chang."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/0269-7491(94)90029-9","article-title":"Forest fire emissions in Portugal: A contribution to global warming?","volume":"83","author":"Miranda","year":"1994","journal-title":"Environ. Pollut."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1186\/1750-0680-2-10","article-title":"Estimates of CO2 from fires in the United States: Implications for carbon management","volume":"2","author":"Wiedinmyer","year":"2007","journal-title":"Carbon Balance Manag."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Barbosa, P., Camia, A., Kucera, J., Libert\u00e0, G., Palumbo, I., San-Miguel-Ayanz, J., and Schmuck, G. (2008). Chapter 8 Assessment of Forest Fire Impacts and Emissions in the European Union Based on the European Forest Fire Information System, Elsevier Science & Technology.","DOI":"10.1016\/S1474-8177(08)00008-9"},{"key":"ref_13","first-page":"16153","article-title":"Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997\u20132009)","volume":"10","author":"Randerson","year":"2010","journal-title":"Atmos. Chem. Phys."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2625","DOI":"10.5194\/acp-11-2625-2011","article-title":"Atmospheric emissions from vegetation fires in Portugal (1990\u20132008): Estimates, uncertainty analysis, and sensitivity analysis","volume":"11","author":"Rosa","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.atmosenv.2014.08.050","article-title":"A high-resolution and multi-year emissions inventory for biomass burning in Southeast Asia during 2001\u20132010","volume":"98","author":"Shi","year":"2014","journal-title":"Atmos. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2839","DOI":"10.5194\/acp-17-2839-2017","article-title":"A comprehensive biomass burning emission inventory with high spatial and temporal resolution in China","volume":"17","author":"Zhou","year":"2017","journal-title":"Atmos. Chem. Phys."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"6388","DOI":"10.1016\/j.atmosenv.2009.09.013","article-title":"Estimating trace gas and aerosol emissions over South America: Relationship between fire radiative energy released and aerosol optical depth observations","volume":"43","author":"Pereira","year":"2009","journal-title":"Atmos. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1016\/j.atmosenv.2015.04.058","article-title":"Estimating emissions from agricultural fires in the North China Plain based on MODIS fire radiative power","volume":"112","author":"Liu","year":"2015","journal-title":"Atmos. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"11591","DOI":"10.5194\/acp-11-11591-2011","article-title":"Field determination of biomass burning emission ratios and factors via open-path ftir spectroscopy and fire radiative power assessment: Headfire, backfire and residual smouldering combustion in African savannahs","volume":"11","author":"Wooster","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"527","DOI":"10.5194\/bg-9-527-2012","article-title":"Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power","volume":"9","author":"Kaiser","year":"2012","journal-title":"Biogeosci. Discuss."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"10383","DOI":"10.5194\/acp-14-10383-2014","article-title":"Constraining CO2 emissions from open biomass burning by satellite observations of co-emitted species: A method and its application to wildfires in Siberia","volume":"14","author":"Konovalov","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4513","DOI":"10.5194\/acp-17-4513-2017","article-title":"Probing into the aging dynamics of biomass burning aerosol by using satellite measurements of aerosol optical depth and carbon monoxide","volume":"17","author":"Konovalov","year":"2016","journal-title":"Atmos. Chem. Phys."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"24303","DOI":"10.1029\/2011JD016245","article-title":"Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide","volume":"116","author":"Mu","year":"2011","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"625","DOI":"10.5194\/gmd-4-625-2011","article-title":"The Fire INventory from NCAR (FINN)\u2014A high resolution global model to estimate the emissions from open burning","volume":"3","author":"Wiedinmyer","year":"2011","journal-title":"Geosci. Model Dev. Discuss."},{"key":"ref_25","first-page":"1","article-title":"The MACC Global Fire Assimilation System: First emission products (GFASv0)","volume":"596","author":"Kaiser","year":"2009","journal-title":"ECMWF Tech. Memo."},{"key":"ref_26","first-page":"239","article-title":"Detecting forest damage after a low-severity fire using remote sensing at multiple scales","volume":"35","author":"Arnett","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.1002\/2016GL072042","article-title":"CO2 emission of indonesian fires in 2015 estimated from satellite-derived atmospheric CO2 concentrations","volume":"44","author":"Heymann","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"13567","DOI":"10.1038\/s41598-017-13459-0","article-title":"The orbiting carbon observatory (OCO-2) tracks 2\u20133 peta-gram increase in carbon release to the atmosphere during the 2014\u20132016 EI Nino","volume":"7","author":"Patra","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"5227","DOI":"10.5194\/amt-9-5227-2016","article-title":"Quantification of uncertainties in OCO-2 measurements of XCO2: Simulations and linear error analysis","volume":"9","author":"Connor","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5194\/amt-10-2209-2017","article-title":"Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) XCO2 measurements with TCCON","volume":"10","author":"Wunch","year":"2017","journal-title":"Atmos. Meas. Tech."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"59","DOI":"10.5194\/amt-10-59-2017","article-title":"The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products","volume":"10","author":"Crisp","year":"2017","journal-title":"Atmos. Meas. Tech."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Pollock, R., Haring, R.E., Holden, J.R., Johnson, D.L., Kapitanoff, A., Mohlman, D., Phillips, C., Randall, D., Rechsteiner, D., and Rivera, J. (2010, January 13). The orbiting carbon observatory instrument: Performance of the oco instrument and plans for the OCO-2 instrument. Proceedings of the SPIE\u2014The International Society for Optical Engineering, Toulouse, France.","DOI":"10.1117\/12.865243"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.saa.2013.08.035","article-title":"Spectral modelling near the 1.6 \u03bcm window for satellite based estimation of CO2","volume":"117","author":"Prasad","year":"2014","journal-title":"Spectrochim. Acta A Mol. Biomol. Spectrosc."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2499","DOI":"10.1109\/TGRS.2016.2645614","article-title":"Preflight spectral calibration of the Orbiting Carbon Observatory 2","volume":"55","author":"Lee","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","unstructured":"Day, J.O., O\u2019Dell, C.W., Pollock, R., Bruegge, C.J., Rider, D., Crisp, D., and Miller, C.E. (2010, January 27\u201329). Preflight spectral calibration of the orbiting carbon observatory. Proceedings of the International Conference on Next Generation Mobile Applications, Amman, Jordan."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"301","DOI":"10.5194\/amt-8-301-2015","article-title":"The Orbiting Carbon Observatory (OCO-2): Spectrometer performance evaluation using pre-launch direct sun measurements","volume":"8","author":"Frankenberg","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1007\/978-981-10-2669-0_39","article-title":"A comparison and validation of atmosphere CO2 concentration OCO-2-based observations and tccon-based observations","volume":"Volume 645","author":"Meng","year":"2016","journal-title":"Communications in Computer and Information Science"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"549","DOI":"10.5194\/amt-10-549-2017","article-title":"The Orbiting Carbon Observatory-2: First 18 months of science data products","volume":"10","author":"Eldering","year":"2017","journal-title":"Atmos. Meas. Tech."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2851","DOI":"10.5194\/amt-6-2851-2013","article-title":"Semi-autonomous sounding selection for OCO-2","volume":"6","author":"Mandrake","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_40","unstructured":"Ross, A. (2012). Gosat Measurements of Wildfire Emissions, University of London."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"4098","DOI":"10.1002\/grl.50733","article-title":"First satellite measurements of carbon dioxide and methane emission ratios in wildfire plumes","volume":"40","author":"Ross","year":"2013","journal-title":"Geophys. Res. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2123","DOI":"10.1080\/01431160600810609","article-title":"Active forest fire monitoring in Uttaranchal State, India using multi-temporal DMSP-OLS and MODIS data","volume":"28","author":"Chand","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Guo, M., Li, J., Sheng, C., Xu, J., and Li, W. (2017). A review of wetland remote sensing. Sensors, 17.","DOI":"10.3390\/s17040777"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/S0034-4257(02)00076-7","article-title":"The MODIS fire products","volume":"83","author":"Roy","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1080\/2150704X.2012.749360","article-title":"Evaluating MODIS active fire products in subtropical yucat\u00e1n forest","volume":"4","author":"Cheng","year":"2013","journal-title":"Remote Sens. Lett."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.apgeog.2017.05.013","article-title":"Mapping fire regimes in China using MODIS active fire and burned area data","volume":"85","author":"Chen","year":"2017","journal-title":"Appl. Geogr."},{"key":"ref_47","first-page":"281","article-title":"A tool for multi-platform remote sensing processing","volume":"3","author":"Ganci","year":"2009","journal-title":"Commun. Simai Congr."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/0273-1177(94)90197-X","article-title":"Spectral emissivity measurements of land-surface materials and related radiative transfer simulations","volume":"14","author":"Wan","year":"1994","journal-title":"Adv. Space Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.rse.2006.08.014","article-title":"A data-mining approach to associating MISR smoke plume heights with MODIS fire measurements","volume":"107","author":"Mazzoni","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_50","first-page":"25","article-title":"MISR stereo heights of grassland fire smoke plumes in Australia","volume":"48","author":"Kahn","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1685","DOI":"10.5194\/acp-19-1685-2019","article-title":"Biomass burning smoke heights over the Amazon observed from space","volume":"19","author":"Gonzalez","year":"2019","journal-title":"Atmos. Chem. Phys."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"4593","DOI":"10.3390\/rs5094593","article-title":"Stereoscopic height and wind retrievals for aerosol plumes with the MISR INteractive eXplorer (MINX)","volume":"5","author":"Nelson","year":"2013","journal-title":"Remote Sens."},{"key":"ref_53","first-page":"27937","article-title":"Evaluation of the smoke-injection height from wild-land fires using remote-sensing data","volume":"11","author":"Sofiev","year":"2012","journal-title":"Atmos. Chem. Phys."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2006JD007647","article-title":"Aerosol source plume physical characteristics from space-based multiangle imaging","volume":"112","author":"Kahn","year":"2007","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1071\/WF12103","article-title":"Estimates of carbon emissions from forest fires in Japan, 1979\u20132008","volume":"22","author":"Goto","year":"2013","journal-title":"Int. J. Wildland Fire"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2335","DOI":"10.5194\/acp-10-2335-2010","article-title":"Estimates of biomass burning emissions in tropical Asia based on satellite-derived data","volume":"10","author":"Chang","year":"2010","journal-title":"Atmos. Chem. Phys."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"10806","DOI":"10.1021\/acs.est.5b01598","article-title":"High-resolution mapping of biomass burning emissions in three tropical regions","volume":"49","author":"Shi","year":"2015","journal-title":"Environ. Sci. Technol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.ecolmodel.2013.09.021","article-title":"Spatio-temporal evaluation of carbon emissions from biomass burning in Southeast Asia during the period 2001\u20132010","volume":"272","author":"Shi","year":"2014","journal-title":"Ecol. Model."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"4039","DOI":"10.5194\/acp-11-4039-2011","article-title":"Emission factors for open and domestic biomass burning for use in atmospheric models","volume":"11","author":"Akagi","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.atmosenv.2011.11.009","article-title":"Vegetation fires in the himalayan region\u2014aerosol load, black carbon emissions and smoke plume heights","volume":"47","author":"Vadrevu","year":"2012","journal-title":"Atmos. Environ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.atmosenv.2012.09.016","article-title":"Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite","volume":"63","author":"Wu","year":"2012","journal-title":"Atmos. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"9899","DOI":"10.1073\/pnas.1019576108","article-title":"Benchmark map of forest carbon stocks in tropical regions across three continents","volume":"108","author":"Saatchi","year":"2011","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0378-1127(02)00227-X","article-title":"Biomass dynamics associated with deforestation, fire, and conversion to cattle pasture in a Mexican tropical dry forest","volume":"176","author":"Kauffman","year":"2003","journal-title":"For. Ecol. Manag."},{"key":"ref_64","first-page":"99","article-title":"The ACOS CO2 retrieval algorithm\u2014Part 1: Description and validation against synthetic observations","volume":"4","author":"Connor","year":"2011","journal-title":"Atmos. Meas. Tech."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"7925","DOI":"10.5194\/acp-11-7925-2011","article-title":"Satellite- and ground-based CO total column observations over 2010 Russian fires: Accuracy of top-down estimates based on thermal IR satellite data","volume":"11","author":"Yurganov","year":"2011","journal-title":"Atmos. Chem. Phys. Discuss."}],"container-title":["Atmosphere"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-4433\/10\/10\/581\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:24:20Z","timestamp":1760189060000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-4433\/10\/10\/581"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,25]]},"references-count":65,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2019,10]]}},"alternative-id":["atmos10100581"],"URL":"https:\/\/doi.org\/10.3390\/atmos10100581","relation":{},"ISSN":["2073-4433"],"issn-type":[{"value":"2073-4433","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9,25]]}}}