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Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories

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Outgoing claims: the papers this work cites, builds on, or argues with.

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High‐resolution atmospheric inversion of urban CO 2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX)
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Comparing GOSAT observations of localized CO2 enhancements by large emitters with inventory‐based estimates
inferredcites →https://doi.org/10.1002/2016gl070885openalex-snapshot
Direct space‐based observations of anthropogenic CO2 emission areas from OCO‐2
inferredcites →https://doi.org/10.1002/2017gl074702openalex-snapshot
Quantifying CO2 Emissions From Individual Power Plants From Space
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The ERA5 global reanalysis
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Application of Gaussian plume models for air pollution simulation at instantaneous emissions
inferredcites →https://doi.org/10.1016/j.pecs.2006.08.002openalex-snapshot
High efficiency electric power generation: The environmental role
inferredcites →https://doi.org/10.1016/j.rse.2020.112032openalex-snapshot
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals
inferredcites →https://doi.org/10.1029/2012gl052738openalex-snapshot
Space‐based observations of megacity carbon dioxide
inferredcites →https://doi.org/10.1073/pnas.1803715115openalex-snapshot
Anthropogenic and biogenic CO 2 fluxes in the Boston urban region
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Comment On"The Change of Concentration Standard Deviations with Distance"
inferredcites →https://doi.org/10.1080/01431161.2018.1523585openalex-snapshot
Identifying local anthropogenic CO 2 emissions with satellite retrievals: a case study in South Korea
inferredcites →https://doi.org/10.1088/1748-9326/ab25aeopenalex-snapshot
Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations
inferredcites →https://doi.org/10.1117/12.865243openalex-snapshot
The Orbiting Carbon Observatory nstrument: performance of the OCO instrument and plans for the OCO-2 instrument
inferredcites →https://doi.org/10.1126/science.aah3443openalex-snapshot
A roadmap for rapid decarbonization
inferredcites →https://doi.org/10.1175/bams-d-12-00117.1openalex-snapshot
Assessment of Global Cloud Datasets from Satellites: Project and Database Initiated by the GEWEX Radiation Panel
inferredcites →https://doi.org/10.2139/ssrn.1133432openalex-snapshot
Carbon Monitoring for Action (CARMA): Climate Campaign Built on Questionable Data - A Due Diligence Report on CARMA's Data and Methodology
inferredcites →https://doi.org/10.2139/ssrn.1138690openalex-snapshot
Calculating Carma: Global Estimation of Co2 Emissions from the Power Sector
inferredcites →https://doi.org/10.2139/ssrn.2226505openalex-snapshot
Carma Revisited: An Updated Database of Carbon Dioxide Emissions from Power Plants Worldwide
inferredcites →https://doi.org/10.3334/cdiac/00001_v2017openalex-snapshot
Global, Regional, and National Fossil-Fuel CO2 Emissions (1751 - 2014) (V. 2017)
inferredcites →https://doi.org/10.3390/rs11131608openalex-snapshot
Pixel Size and Revisit Rate Requirements for Monitoring Power Plant CO2 Emissions from Space
inferredcites →https://doi.org/10.5194/acp-15-13299-2015openalex-snapshot
High-resolution inventory of technologies, activities, and emissions of coal-fired power plants in China from 1990 to 2010
inferredcites →https://doi.org/10.5194/acp-18-14095-2018openalex-snapshot
Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions
inferredcites →https://doi.org/10.5194/acp-18-4765-2018openalex-snapshot
Estimates of CO 2 fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling
inferredcites →https://doi.org/10.5194/acp-19-9371-2019openalex-snapshot
Towards monitoring localized CO 2 emissions from space: co-located regional CO 2 and NO 2 enhancements observed by the OCO-2 and S5P satellites
inferredcites →https://doi.org/10.5194/acp-20-8501-2020openalex-snapshot
Observing carbon dioxide emissions over China's cities and industrial areas with the Orbiting Carbon Observatory-2
inferredcites →https://doi.org/10.5194/amt-10-2209-2017openalex-snapshot
Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) X CO 2 measurements with TCCON
inferredcites →https://doi.org/10.5194/amt-10-59-2017openalex-snapshot
The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products
inferredcites →https://doi.org/10.5194/amt-11-721-2018openalex-snapshot
Airborne remote sensing and in situ measurements of atmospheric CO 2 to quantify point source emissions
inferredcites →https://doi.org/10.5194/amt-12-2241-2019openalex-snapshot
How bias correction goes wrong: measurement of X CO 2 affected by erroneous surface pressure estimates
inferredcites →https://doi.org/10.5194/amt-12-6695-2019openalex-snapshot
Detectability of CO 2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO 2 Monitoring (CO2M) mission
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A remote sensing technique for global monitoring of power plant CO 2 emissions from space and related applications
inferredcites →https://doi.org/10.5194/amt-8-3745-2015openalex-snapshot
Determining air pollutant emission rates based on mass balance using airborne measurement data over the Alberta oil sands operations
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Update on GOSAT TANSO-FTS performance, operations, and data products after more than 6 years in space
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Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system
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The Open-source Data Inventory for Anthropogenic CO 2 , version 2016 (ODIAC2016): a global monthly fossil fuel CO 2 gridded emissions data product for tracer transport simulations and surface flux inversions
inferredcites →https://doi.org/10.5194/essd-8-605-2016openalex-snapshot
Global Carbon Budget 2016
inferredcites →https://doi.org/10.5194/gmd-13-5813-2020openalex-snapshot
PMIF v1.0: assessing the potential of satellite observations to constrain CO 2 emissions from large cities and point sources over the globe using synthetic data
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Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Quantifying Thermal Power Plants Co2 Emissions Globally from Space Using Hyperspectral Imagers
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Upgrading Biogas to Bio-Methane with a Low Energy Input and Negative Carbon Emission by Using Agriculture-Friendly Renewable Absorbent
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Quantification of CO2 Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements
inferred← citeshttps://doi.org/10.1007/s11270-024-07107-3openalex-snapshot
Data-Driven Modeling for the Prediction of Stack Gas Concentration in a Coal-Fired Power Plant in Türkiye
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NASA Earth Observations
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2026.122088openalex-snapshot
Constraining anthropogenic CO2 emissions in Xinjiang, China based on OCO-2 and OCO-3 Missions
inferred← citeshttps://doi.org/10.1016/j.energy.2024.134303openalex-snapshot
Calculation of CO2 emissions from coal-fired power plants based on OCO-2/3 satellite observations and divergence model
inferred← citeshttps://doi.org/10.1016/j.jag.2026.105109openalex-snapshot
A review of satellite remote sensing for pollution control and carbon reduction in China
inferred← citeshttps://doi.org/10.1016/j.jclepro.2023.136525openalex-snapshot
CO2 emissions retrieval from coal-fired power plants based on OCO-2/3 satellite observations and a Gaussian plume model
inferred← citeshttps://doi.org/10.1016/j.jclepro.2024.141418openalex-snapshot
Retrieval anthropogenic CO2 emissions from OCO-2 and comparison with gridded emission inventories
inferred← citeshttps://doi.org/10.1016/j.jclepro.2025.145945openalex-snapshot
Observing CO2 emissions from global key coal-fired power plants based on Orbiting carbon Observatory-3 satellite and improved Gaussian plume model
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130216openalex-snapshot
DRRP-Net: Dense-Res- Recurrent Prototypical Networks for carbon emission prediction using satellite image time series
inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101822openalex-snapshot
Quantifying thermal power plants CO2 emissions globally from space using hyperspectral imagers
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114192openalex-snapshot
Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114515openalex-snapshot
Estimating anthropogenic CO2 emissions from China's Yangtze River Delta using OCO-2 observations and WRF-Chem simulations
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115261openalex-snapshot
Characterizing diurnal variability in power plant carbon emissions in Asia: A top-down estimation approach constrained by geostationary NO2 and OCO-3 CO2 observations
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.169586openalex-snapshot
Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO2 retrieval using inline plume simulation
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Sequential polymer infusion into solid substrates (SPISS): Impact of processing on sorbent CO2 adsorption properties
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Enhancing Space-Based Tracking of Fossil Fuel CO2 Emissions via Synergistic Integration of OCO-2, OCO-3, and TROPOMI Measurements
inferred← citeshttps://doi.org/10.1021/acssuschemeng.4c03933openalex-snapshot
Upgrading Biogas to Biomethane with Low Energy Input and Negative Carbon Emissions Using Agriculture-Friendly Renewable Absorbents
inferred← citeshttps://doi.org/10.1029/2023ef004411openalex-snapshot
Fossil Fuel CO 2 Emission Signatures Over India Captured by OCO‐2 Satellite Measurements
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Responsive CO 2 capture: predictive multi-objective optimisation for managing intermittent flue gas and renewable energy supply
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Bayesian inversion of urban sectoral scale anthropogenic CO 2 emissions coupled with weather research and forecasting (WRF) and stochastic time-inverted lagrangian transport (STILT) models in Chengdu-Chongqing economic circle
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Physics-Guided Multitask Learning for Estimating Power Generation and CO 2 Emissions From Satellite Imagery
inferred← citeshttps://doi.org/10.1145/3570991.3571062openalex-snapshot
Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning
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Quantifying Thermal Power Plants Co2 Emissions Globally from Space Using Hyperspectral Imagers
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Characterizing Diurnal Variability in Power Plant Carbon Emissions in East Asia: A Top-Down Estimation Approach Constrained by Geostationary No2 and Oco-3 Co2 Observations
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Estimation and forecasting of carbon dioxide emissions from coal-fired thermal power plants in Ukraine
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Comparative Study of Zn Loading on Advanced Functional Zeolite NaY from Bagasse Ash and Rice Husk Ash for Sustainable CO2 Adsorption with ANOVA and Factorial Design
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The Diffusion Behavior of CO2 Adsorption from a CO2/N2 Gas Mixture on Zeolite 5A in a Fixed-Bed Column
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Measuring Greenhouse Gas Emissions from Point Sources with Mobile Systems
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Assessment of the Influence of Instrument Parameters on the Detection Accuracy of Greenhouse-Gases Absorption Spectrometer-2 (GAS-2)
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A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants
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CO2 Emission Prediction for Coal-Fired Power Plants by Random Forest-Recursive Feature Elimination-Deep Forest-Optuna Framework
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Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning
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Towards Supporting Satellite Design Through the Top-Down Approach: A General Model for Assessing the Ability of Future Satellite Missions to Quantify Point Source Emissions
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Impacts of Spatial Resolution and XCO2 Precision on Satellite Capability for CO2 Plumes Detection
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Research on Carbon Emissions Prediction Model of Thermal Power Plant Based on SSA-LSTM Algorithm with Boiler Feed Water Influencing Factors
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The Total Emission Estimation of Thermal Power Plants Using a Top-Down Approach Strongly Impacted by Satellite Spatial Resolution, Precision, and Monitoring Frequency
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温室气体通量测量方法及进展
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Estimation of diurnal emissions of CO 2 from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar
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