Articles | Volume 16, issue 6
https://doi.org/10.5194/essd-16-2811-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2811-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Insights into the spatial distribution of global, national, and subnational greenhouse gas emissions in the Emissions Database for Global Atmospheric Research (EDGAR v8.0)
Monica Crippa
Unisystems S.A., Milan, Italy
Diego Guizzardi
European Commission, Joint Research Centre (JRC), Ispra, Italy
Federico Pagani
Unisystems S.A., Milan, Italy
Marcello Schiavina
NTT DATA, Rue de Spa 8, 1000 Brussels, Belgium
Michele Melchiorri
European Commission, Joint Research Centre (JRC), Ispra, Italy
Enrico Pisoni
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), Ispra, Italy
Francesco Graziosi
European Commission, Joint Research Centre (JRC), Ispra, Italy
Marilena Muntean
European Commission, Joint Research Centre (JRC), Ispra, Italy
Joachim Maes
European Commission, Directorate-General for Regional and Urban Policy, Brussels, Belgium
Lewis Dijkstra
European Commission, Joint Research Centre (JRC), Ispra, Italy
European Commission, Directorate-General for Regional and Urban Policy, Brussels, Belgium
Martin Van Damme
Université libre de Bruxelles (ULB), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Lieven Clarisse
Université libre de Bruxelles (ULB), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium
Pierre Coheur
Université libre de Bruxelles (ULB), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium
Viewed
Total article views: 13,815 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Dec 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 10,728 | 2,851 | 236 | 13,815 | 754 | 250 | 317 |
- HTML: 10,728
- PDF: 2,851
- XML: 236
- Total: 13,815
- Supplement: 754
- BibTeX: 250
- EndNote: 317
Total article views: 11,044 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Jun 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 8,964 | 1,916 | 164 | 11,044 | 531 | 188 | 263 |
- HTML: 8,964
- PDF: 1,916
- XML: 164
- Total: 11,044
- Supplement: 531
- BibTeX: 188
- EndNote: 263
Total article views: 2,771 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Dec 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,764 | 935 | 72 | 2,771 | 223 | 62 | 54 |
- HTML: 1,764
- PDF: 935
- XML: 72
- Total: 2,771
- Supplement: 223
- BibTeX: 62
- EndNote: 54
Viewed (geographical distribution)
Total article views: 13,815 (including HTML, PDF, and XML)
Thereof 13,308 with geography defined
and 507 with unknown origin.
Total article views: 11,044 (including HTML, PDF, and XML)
Thereof 10,611 with geography defined
and 433 with unknown origin.
Total article views: 2,771 (including HTML, PDF, and XML)
Thereof 2,697 with geography defined
and 74 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
202 citations as recorded by crossref.
- Lifetime exposure to health-related air pollutants in the United Kingdom: A spatiotemporal evaluation (1930–2010) through WRF-CMAQ modeling G. Chen et al. https://doi.org/10.1016/j.atmosenv.2025.121093
- High-resolution spatiotemporal dynamic simulation and driving force analysis of carbon emissions in coastal cities: The case of Ningbo City G. Cui et al. https://doi.org/10.1016/j.scs.2026.107195
- Enhancing Space-Based Tracking of Fossil Fuel CO2 Emissions via Synergistic Integration of OCO-2, OCO-3, and TROPOMI Measurements T. Li et al. https://doi.org/10.1021/acs.est.4c05896
- How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al. https://doi.org/10.5194/acp-26-1931-2026
- The role of digitalization in the impact of renewable energy on sustainable development in the Eurozone O. Zarrad et al. https://doi.org/10.1007/s43621-025-01639-2
- Plasma-catalytic CH4 reforming with CO2 over biochar in a dielectric barrier discharge reactor D. MEI 梅 et al. https://doi.org/10.1088/2058-6272/ae7270
- Global Insights into the Synergistic Characteristics of Methane and Nitrous Oxide Emissions from China’s Animal Husbandry and Their Policy Implications L. Yang et al. https://doi.org/10.3390/atmos17060590
- International trade and air-quality-related mortality S. Wang et al. https://doi.org/10.1038/s41467-026-71408-w
- Government advocacy for ecological value reshapes the environmental Kuznets curve: Evidence from China’s ecosystem product value realization M. Jin et al. https://doi.org/10.1016/j.eap.2026.02.031
- Multi-Source Remote Sensing-Constrained Evaluation of CMAQ Aerosol Optical Depth over Major Urban Clusters in China Z. Peng et al. https://doi.org/10.3390/rs18081134
- City-level carbon emissions data in Southeast Asia from 2000 to 2020 X. Chen & Y. Ba https://doi.org/10.1038/s41597-026-07320-1
- Applying satellite observations to improve bottom-up national emission inventories for methane: application to Colombia S. Hancock et al. https://doi.org/10.5194/acp-26-10455-2026
- Comparison of High-Resolution Gridded Emission Maps of Anthropogenic Carbon Dioxide in Europe: GRACED & CAMS-REG Q. Shi et al. https://doi.org/10.1021/acs.est.4c07289
- Urban trees exhibit stronger sensitivity to environmental change but larger growth recovery than their rural counterparts J. Yang et al. https://doi.org/10.1016/j.dendro.2026.126476
- Inversion-based assessment of anthropogenic NOx emission changes in Ukraine during the 2022–2023 war using TROPOMI satellite data Y. Mao et al. https://doi.org/10.5194/acp-25-14187-2025
- Provincial CO2 emission peak and drivers in China based on near-real-time data X. Huang et al. https://doi.org/10.1016/j.adapen.2025.100260
- Worldwide inference of national methane emissions by inversion of satellite observations with UNFCCC prior estimates J. East et al. https://doi.org/10.1038/s41467-025-67122-8
- Assessing climate and air quality benefits of methane mitigation for U.S. landfills A. Folorunsho et al. https://doi.org/10.1016/j.jenvman.2026.128707
- High-resolution inventories for Reactive Nitrogen Emissions from China’s livestock during 2005–2022 Y. Chen et al. https://doi.org/10.1038/s41597-025-05394-x
- Does Coordinated Regional Development Reduce Urban Carbon Emissions? Evidence from the Beijing–Tianjin–Hebei Strategy G. Hu et al. https://doi.org/10.3390/land15081432
- A new strategy for fine-scale identification of urban PM2.5 spatial patterns and air quality assessment: a case study of the Urumqi-Changji-Shihezi Region Y. Ren et al. https://doi.org/10.1007/s10668-026-07704-8
- Enhancing the Detection of Potential Anthropogenic Methane Emission Sources in China Using Machine Learning and TROPOMI Observations S. Yu et al. https://doi.org/10.1021/acs.estlett.6c00115
- Assessing the effectiveness of large-scale ecological restoration programs: a spatiotemporal analysis of ecological efficiency in forest and landscape restoration Y. Ren et al. https://doi.org/10.1007/s11676-026-01990-8
- Vast and hidden urban methane emissions from the Russia–Ukraine war Z. Feng et al. https://doi.org/10.1038/s44284-025-00309-8
- The relationship between tourism, economic growth and environmental sustainability: empirical evidence from major tourist destinations F. Alcalá-Olid et al. https://doi.org/10.1057/s41599-025-06307-4
- GHGPSE-Net: a method towards spaceborne automated extraction of greenhouse-gas point sources using point-object-detection deep neural network Y. Pang et al. https://doi.org/10.5194/gmd-19-1683-2026
- Adjustment of the Power of Model Emissions of Anthropogenic Atmospheric Pollution Sources Based on Measurement Data and Adjoint Problem Methods P. Antokhin et al. https://doi.org/10.1134/S1024856025700319
- Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations S. Hancock et al. https://doi.org/10.5194/acp-25-797-2025
- Spatiotemporal variability of methane concentrations driven by ruminant livestock in Mongolia: insights from satellite observations and machine learning C. Bao et al. https://doi.org/10.1080/15481603.2025.2582118
- Evidence of policy-driven emission reductions and post-pandemic rebound from high-resolution inventories in China W. Shan et al. https://doi.org/10.1016/j.jes.2026.01.009
- Satellite-Based Estimation of Urban CO2 Emissions in Shandong Province, China, Using TROPOMI NO2 Observations and Differential Evolution Algorithm Y. Xie et al. https://doi.org/10.3390/rs18101470
- Bridging the Gap: A comprehensive review and cross-check analysis for China's Non-CO2 greenhouse gas emission estimates L. Hu & X. Fang https://doi.org/10.1016/j.jenvman.2025.127362
- The Influence of Emission Sources and Meteorological Factors to Long-Term Changes in PM2.5 over China (1980–2022) X. Lu et al. https://doi.org/10.3390/atmos17040359
- Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions Y. Bo et al. https://doi.org/10.5194/gmd-18-3799-2025
- Novel lightweight based coal mine methane emission framework exhibits transferability between observations in Poland and Shanxi B. Zheng et al. https://doi.org/10.1088/2515-7620/ae67e9
- Quantifying Meteorological and Emission-Control Contributions to PM2.5 and Ozone Changes During the 2023 G20 Summit in New Delhi Z. Han et al. https://doi.org/10.3390/atmos17060584
- Enabling a Digital Earth for methane emissions management with equal-area discrete global grids M. Li & S. Liang https://doi.org/10.1080/17538947.2025.2607210
- Spatiotemporal Analysis of Methane Emissions and Mitigation Potential in China: A Scenario-Based Study Using the Greenhouse Gas—Air Pollution Interactions and Synergies—Methane Framework Y. Deng et al. https://doi.org/10.3390/atmos17040419
- Scenario aware multi pollutant emissions forecasting for India using hybrid ridge-VARX and gradient boosting with inequality aware reconciliation G. Kannaiyan et al. https://doi.org/10.1088/2515-7620/ae44ea
- Quantifying national, state, and oil/gas field methane emissions and trends in the US (2019–2024) through high resolution inversion of satellite observations L. Estrada et al. https://doi.org/10.5194/acp-26-10629-2026
- Physical consumption data reveals hidden carbon inequalities beyond monetary-based accounting Y. Guan et al. https://doi.org/10.1016/j.spc.2026.07.025
- Quantifying methane emissions from large coal mine using Sentinel-5 Precursor satellite data and Gaussian plume model Y. Chen et al. https://doi.org/10.1016/j.jag.2026.105491
- Reconciling bottom-up and top-down agricultural ammonia emission estimates Z. Ma et al. https://doi.org/10.1016/j.treopn.2026.07.004
- North–south inhomogeneous variations of methane emissions observed by TROPOMI over China S. Yu et al. https://doi.org/10.1016/j.jenvman.2026.129542
- Satellite Insights into methane Super-Emitters: Regional emissions and yearly growth on Turkmenistan’s west coast Z. He et al. https://doi.org/10.1016/j.jag.2025.104975
- Characterizing diurnal variability in power plant carbon emissions in Asia: A top-down estimation approach constrained by geostationary NO2 and OCO-3 CO2 observations T. Xu et al. https://doi.org/10.1016/j.rse.2026.115261
- Catalyst engineering strategies for low-temperature and stable CO2 methanation T. Wang et al. https://doi.org/10.1039/D6CY00732E
- Arctic wildfire carbon emissions strongly influenced by midsummer Tibetan Plateau precipitation X. Yang et al. https://doi.org/10.1038/s43247-025-02505-9
- Detection of local-source contributions in ground-level atmospheric methane in Japan J. Zhang & H. Hayami https://doi.org/10.1016/j.atmosenv.2026.121948
- Emerging carbon dioxide hotspots in East Asia identified by a top-down inventory L. Xia et al. https://doi.org/10.1038/s43247-024-01991-7
- Carbon accounting for transport infrastructure: The relevance of non-traffic emissions F. Bruzzone et al. https://doi.org/10.1016/j.trd.2026.105301
- ML-based prediction and forecasting of GHG emissions and Particulate Matters from MSW landfill and incineration in Guwahati City T. Singh & R. Uppaluri https://doi.org/10.1007/s00704-026-06332-6
- Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al. https://doi.org/10.3390/rs16213963
- Satellite observations reveal underestimation of CO 2 emissions in Africa and the Middle East X. Lin et al. https://doi.org/10.1126/sciadv.aee1447
- Super-resolution localization and quantification of SO2 emissions over India using TROPOMI observations Y. Chen et al. https://doi.org/10.5194/amt-19-2737-2026
- High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al. https://doi.org/10.5194/acp-25-15121-2025
- Temporal-spatial characteristics and driver pattern of methane emission in heterogeneous Chinese cities C. Xu et al. https://doi.org/10.1016/j.jclepro.2025.144748
- Development of a global integrated environmental quality index for population health research W. Ruan et al. https://doi.org/10.1016/j.envpol.2026.128701
- Identifying Major CO2 and CH4 Emission Sources with the STILT Model in the Seoul Metropolitan Area During Winter 2024, Including the ASIA-AQ Campaign H. Choi et al. https://doi.org/10.1007/s13143-025-00428-1
- Mapping High-Resolution Carbon Emission Spatial Distribution Combined with Carbon Satellite and Muti-Source Data L. Cui et al. https://doi.org/10.3390/rs17173125
- Global impact of fire emission on ambient nitrate (NO3-) and health effects during 2005–2019 W. Sun et al. https://doi.org/10.1016/j.jhazmat.2025.138509
- City-level Ecological Footprint: Measurement, key determinants, and the role of lifestyle R. Zhang et al. https://doi.org/10.1016/j.enbuild.2025.115922
- Spatial–temporal evolution, drivers, and pathways of the synergistic effects of digital transformation on pollution and carbon reduction in heavily polluting enterprises W. Mai et al. https://doi.org/10.1038/s41598-025-96834-6
- Long-term analysis of atmospheric propane over Southern Europe based on observations conducted at the WMO-GAW station of Monte Cimone E. Mancinelli et al. https://doi.org/10.5194/acp-26-4105-2026
- Scaling up water-saving irrigation reduces yield-scaled greenhouse gas emissions by over one-quarter in China’s rice paddies Q. Xu et al. https://doi.org/10.1016/j.agwat.2025.109937
- The CMA Chemistry–Weather Coupled Model and Its Operational Forecast of Fog–Haze and Sand/Dust Storms H. Wang et al. https://doi.org/10.1007/s13351-026-6051-3
- Global energy sector methane emissions estimated by using facility-level satellite observations D. Jervis et al. https://doi.org/10.1126/science.adv3183
- Wildfire-induced suppression of anthropogenic sulfate formation in downwind regions of Northeast Asia D. Kim et al. https://doi.org/10.1016/j.envpol.2026.128872
- Deep Placement of Nitrogen Fertilizer Mitigates Methane Emissions from Rice Paddies by Modulating Methanogenic and Methanotrophic Communities in a Rice–Wheat Rotation System M. Hashmi et al. https://doi.org/10.3390/agronomy16141333
- Norwegian–Polish carbon capture and storage network: Bilateral collaboration for European climate action M. Nooraiepour et al. https://doi.org/10.1016/j.erss.2025.104106
- Investigation of China’s Anthropogenic Methane Emissions with Approaches, Potentials, Economic Cost, and Social Benefits of Reductions R. Feng et al. https://doi.org/10.3390/atmos16111245
- A review of atmospheric black carbon research progress in China Q. Zhou et al. https://doi.org/10.1016/j.atmosenv.2026.122290
- Constraining anthropogenic CO2 emissions in Xinjiang, China based on OCO-2 and OCO-3 Missions C. Jin et al. https://doi.org/10.1016/j.atmosenv.2026.122088
- Assessment of thermal power plant CO2 emissions quantification performance and uncertainty of measurements by ground-based remote sensing C. Li et al. https://doi.org/10.1016/j.envpol.2024.124886
- The biomass dilemma: Assessing synergies and trade-offs between climate change mitigation, air quality and other environmental impacts across the EU J. Bastos et al. https://doi.org/10.1016/j.spc.2026.04.002
- Methane Concentration in the Atmosphere over Seas of the Western Sector of Russian Arctic in the Late Autumn Season in 2023 N. Pankratova et al. https://doi.org/10.1134/S0001433825701063
- Wealth, health, and happiness: An inverse story of the Easterlin Paradox in China Y. Wang et al. https://doi.org/10.1371/journal.pone.0342445
- Global methane emissions from rice paddies are now increasingly quantifiable M. Mehla et al. https://doi.org/10.1038/s43247-026-03902-4
- Quantifying the Impact of High Emitters on Vehicle Emissions: An Analysis of Ecuador’s Inspection and Maintenance Program S. Ibarra-Espinosa et al. https://doi.org/10.3390/atmos17010031
- Zero Fare, Cleaner Air? The Causal Effect of Luxembourg’s Free Public Transportation Policy on Transport Emissions T. Eibinger & S. Fernando https://doi.org/10.1007/s10640-026-01090-5
- Cross-regional NO2 transport over the Tibetan Plateau (2005–2024): bidirectional flux dynamics, seasonal drivers, and environmental implications Z. Sun et al. https://doi.org/10.5194/acp-26-11027-2026
- Accounting for climate: exploring the materiality of financial reporting in shaping mitigation pathways A. Haldane et al. https://doi.org/10.1108/MEDAR-08-2025-3205
- Methane intensity and emissions across major oil and gas basins and individual jurisdictions using MethaneSAT observations J. Williams et al. https://doi.org/10.5194/acp-26-5961-2026
- Synergic pollution reduction and carbon reduction effects of the "innovation-driven + property rights protection" policy instrument combination X. Wang https://doi.org/10.1007/s10098-025-03317-3
- A Cost-Benefit Analysis Framework for Urban Methane Monitoring K. Mueller & A. Karion https://doi.org/10.1021/acsestair.6c00084
- Long-term trace gas and black carbon measurements at the high-altitude station Mount Kenya: tropical atmospheric variability and the influence of African emissions L. Bernet et al. https://doi.org/10.5194/acp-26-6741-2026
- Developed urban datasets for WRF-STILT: impacts on near-surface CO2 concentration in urban functional zones C. Xu et al. https://doi.org/10.3389/feart.2026.1787526
- Pollution-Carbon Synergy Significantly Enhances the Capability of Tracking Power Plants’ CO2 Emissions from Space D. Fan et al. https://doi.org/10.1021/acs.est.5c01100
- Digital Economy and Virality Products of Startup Users Informal Sector in Palembang: An Analysis of Spatial Distribution-Based Study M. Monanisa et al. https://doi.org/10.37394/23209.2025.22.34
- Top-down benchmark of US methane inventories reveals regional discrepancies in activity-based estimates J. Worden et al. https://doi.org/10.5194/acp-26-8855-2026
- Validation of the 2021 Emission Inventory for Cuenca, Ecuador, Through Weather and Air Quality Modeling in the Framework of WRF-Chem R. Parra et al. https://doi.org/10.3390/atmos17060569
- From Spatial Evolution to Low-Carbon Transition: Regional Heterogeneity and Stage Diagnosis of Carbon Emissions Across 19 Urban Agglomerations in China Y. Duan et al. https://doi.org/10.3390/ijgi15080352
- Regional CO2 and CH4 inversion system using WRF-Chem (v4.4)/DART (v9.8.0) and continuous high-precision observations over the Korean Peninsula D. Kwon et al. https://doi.org/10.5194/gmd-19-7325-2026
- High-resolution anthropogenic emission inventory for China (2015–2024): Spatiotemporal changes and environmental application D. Li et al. https://doi.org/10.1016/j.atmosenv.2025.121495
- RSML-TUSCE: A Machine-Learning Model for High-Resolution Gridded Monthly Sector Carbon Emission Timely Updates via Spatialized Emissions and Remote Sensing B. Li et al. https://doi.org/10.1109/TGRS.2025.3647625
- Measurement-based assessment reveals key drivers and mitigation potential of methane emissions from China’s wastewater treatment C. Sun et al. https://doi.org/10.1126/sciadv.aec0536
- Datasets for top-down estimates of sectoral CO2 and CH4 emissions, terrestrial and ocean carbon exchanges, and atmospheric concentrations over the Korean Peninsula J. Hong et al. https://doi.org/10.1016/j.dib.2026.112868
- Black carbon in major global source areas from 2000 to 2023: Spatiotemporal variation, vertical distribution, and extreme case analysis Y. Zhang et al. https://doi.org/10.1016/j.envpol.2025.125929
- Satellite Observations Reveal Increasing Offshore Gas Flaring Activity and Atmospheric Emissions in the Bohai Sea, China W. Liu et al. https://doi.org/10.1021/acs.estlett.6c00344
- What drives sustainable urban growth in China? Unlocking the spatial dynamics of new quality productivity C. Chen et al. https://doi.org/10.1016/j.iref.2026.105621
- Assessment of urban traffic vehicle emissions reduction after integration of ‘traffic light countdown’ module in navigation M. Zhang et al. https://doi.org/10.1088/2515-7620/adbfdf
- Geologic CO2 sequestration: unveiling complexities, challenges and strategic insights toward net zero emissions—A critical review in the Indian context P. Shukla et al. https://doi.org/10.1007/s40974-026-00410-1
- Global geopolitical risk and greenhouse gas emission inequality C. Xu et al. https://doi.org/10.1016/j.eiar.2026.108594
- Analysis on spatial pattern evolution and policy of CO2 emissions from economic sectors in China from 2005 to 2020 X. Zhang et al. https://doi.org/10.1016/j.jenvman.2025.127606
- Global daily CO2 emissions from 1970 to 2024 T. Li et al. https://doi.org/10.1038/s41597-026-06621-9
- High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al. https://doi.org/10.1016/j.jclepro.2026.148229
- Renewable Electricity Transition, Waste System Modernization, and Sustainable Methane Mitigation: Global Evidence on Governance-Conditioned Co-Benefits Y. Lu et al. https://doi.org/10.3390/su18073478
- Fairness-based optimization in electric vehicle charging scheduling with heterogeneous chargers: Comparative analysis and solution approaches R. Gauchotte et al. https://doi.org/10.1016/j.trc.2026.105900
- A percentile-based inverse modelling approach for enhanced source quantification using high-frequency concentration measurements A. Luhar et al. https://doi.org/10.1016/j.atmosenv.2026.121776
- Synergy of Multiple‐Satellite Measurements to Fill the Gap of Global XCO2 J. Lee et al. https://doi.org/10.1029/2024JD042809
- 2019–2024 trends in African livestock and wetland emissions as contributors to the global methane rise N. Balasus et al. https://doi.org/10.5194/acp-26-4601-2026
- Urban mitigation pathways for decarbonising infrastructure across sectors for sustainability Ş. Kılkış https://doi.org/10.1016/j.energy.2026.142170
- Assessment of quasi-global surface ozone simulations with WRF-chem using multi-dataset evaluation L. Wu et al. https://doi.org/10.1016/j.envpol.2026.128230
- Applicability and Evaluation of Flue Gas Treatment Methods for Oxyfuel Combustion S. Talei et al. https://doi.org/10.1021/acs.iecr.6c00203
- Mapping the Global Carbon Emissions of Marine Sectors C. Feng et al. https://doi.org/10.1021/acs.est.4c09209
- Halving global ammonia emissions with cost-effective measures X. Zhang et al. https://doi.org/10.1038/s41893-025-01723-5
- VOCs over the Himalayan-Tibetan Plateau: A review of observations, sources, and atmospheric processes D. Shan et al. https://doi.org/10.1016/j.atmosres.2026.109139
- Dynamics of ecosystem health in the Guanzhong-Tianshui Economic Zone: A Catboost and SHAP−based analysis from 1990 to 2020 W. Xiao et al. https://doi.org/10.1016/j.ecolind.2025.114431
- Impacts of summertime photochemical aging on the physicochemical properties of aerosols in a Paris suburban forest region C. Yu et al. https://doi.org/10.5194/acp-26-5313-2026
- Simulation and spatiotemporal dynamic analysis of air-mediated ecosystem service flows: A case study of Guanzhong Plain urban agglomeration Y. Wang et al. https://doi.org/10.1016/j.ecolind.2025.113892
- The HTAP_v3.2 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies D. Guizzardi et al. https://doi.org/10.5194/essd-17-5915-2025
- Monthly methane emissions in Chinese mainland provinces from 2013–2022 D. Cui et al. https://doi.org/10.1038/s41597-025-05107-4
- Unraveling spatially heterogeneous drivers of winter PM2.5 in China through synchronous observations and explainable machine learning H. Zheng et al. https://doi.org/10.1016/j.atmosenv.2026.122285
- Reduction of methane emissions through improved landfill management H. Tong et al. https://doi.org/10.1038/s41558-025-02391-1
- Photocatalytic NOx Oxidation and Storage: An Alternative Technology for Airborne NOx Abatement Beyond the Point of Production R. Babacan Tosun et al. https://doi.org/10.1007/s11244-026-02322-0
- Remote Sensing for Quantifying Greenhouse Gas Emissions at Carbon Capture, Utilisation and Storage Facilities: A Review C. Karoff et al. https://doi.org/10.3390/rs17223707
- Space-based inversion reveals underestimated carbon monoxide emissions over Shanxi X. Li et al. https://doi.org/10.1038/s43247-025-02301-5
- The scaling law of CO2 emissions in Chinese urban agglomerations: A Zipf’s law perspective and its policy implications Y. Ning et al. https://doi.org/10.1016/j.scs.2026.107500
- Atmospheric black carbon in the climate system Ö. Gustafsson et al. https://doi.org/10.1038/s43017-026-00773-3
- Time Series Forecasting of Greenhouse Gas Emissions Using Deep Learning D. Yalçıner Çal & E. Küçüksille https://doi.org/10.35378/gujs.1800123
- Near-Real-Time Emission Characterization for Major Industrial Sectors Using Multisatellite and Base-Year Emission Inventories J. Ye et al. https://doi.org/10.1021/acs.estlett.5c00462
- Global black carbon aerosol: Spatiotemporal distributions, drivers, and health impacts H. Yu et al. https://doi.org/10.1016/j.jhazmat.2026.142933
- Regional air quality trade-offs from vehicle electrification in China C. Jiang et al. https://doi.org/10.1016/j.trd.2026.105311
- Challenges in mechanistic modeling of methane production and release in agricultural soils: Perspective on limitations and opportunities S. Beegum et al. https://doi.org/10.1080/10643389.2026.2612932
- Green digital pathway toward carbon neutrality: examining the role of green data centers in reducing carbon emissions C. Nie et al. https://doi.org/10.1007/s10098-026-03439-2
- Green leapfrogging in China? Unveiling the impact of new infrastructure construction on synergistic control of pollutants and carbon emissions: Evidence from green data center Z. Yang et al. https://doi.org/10.1016/j.scs.2026.107371
- How does big data development affect urban environmental welfare performance in China? Evidence from national big data comprehensive pilot zones X. Wang et al. https://doi.org/10.1016/j.iref.2026.105247
- Biomethanol as a Marine Fuel Within Land Use Sustainability Boundaries H. Esfandiari et al. https://doi.org/10.3390/cleantechnol7040101
- High resolution air quality simulation in the Himalayan valleys, a case study in Bhutan B. Bessagnet et al. https://doi.org/10.5194/acp-25-18675-2025
- Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al. https://doi.org/10.5194/gmd-18-3311-2025
- Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022 S. Patil et al. https://doi.org/10.1038/s41597-025-05938-1
- Surface ozone distribution and trends over Ireland: insights from long-term measurement record and source attribution modelling N. Korhale et al. https://doi.org/10.5194/acp-26-6557-2026
- Spatial-temporal patterns and drivers of coastal water quality dynamics: Insights from explainable machine learning and PLS-SEM analysis in Xiamen Bay, China . Aynuddin et al. https://doi.org/10.1016/j.marpolbul.2026.119251
- Machine learning estimates for G20 subnational urban GHG emissions from 2000–2020 Y. Yu et al. https://doi.org/10.1038/s41597-026-06691-9
- Missing wintertime methane emissions from New York City related to combustion L. Schiferl et al. https://doi.org/10.5194/acp-25-15683-2025
- Impacts of source regions and atmospheric transport on physical properties of black carbon and tracer ratios over the Yellow Sea: evidence from multi-seasonal airborne observations N. Yu et al. https://doi.org/10.5194/acp-25-15263-2025
- Energy, exergy and environmental analysis of Rankine cycle for a steady state CFETR power plant with divertor as preheater M. Khan et al. https://doi.org/10.1016/j.energy.2026.140589
- Spatial distribution of bird diversity sensitivity to air pollutants K. Yang et al. https://doi.org/10.1016/j.jclepro.2026.147616
- An Intercomparison of Underground Coal Mine Methane Emission Estimation in Shanxi, China: S5P/TROPOMI vs. GF-5B/AHSI Z. Yang et al. https://doi.org/10.3390/rs18040603
- An Integrated Framework for MOSAIC-AQNEA Emission Inventory Development in Northeast Asia M. Park et al. https://doi.org/10.1007/s13143-026-00434-x
- Changing tropospheric NO2 dynamics across Indian air pollution hotspots A. Biswal et al. https://doi.org/10.1016/j.envpol.2025.126160
- Dynamic regional synergies in air pollution and carbon reduction in China: A stacked ensemble machine learning approach for precise emission control K. Wang et al. https://doi.org/10.1016/j.apr.2026.102924
- Assessment of methane emissions from US onshore oil and gas production using MethaneAIR measurements K. MacKay et al. https://doi.org/10.5194/acp-26-1179-2026
- A spatially explicit assessment of intra-urban carbon emission inequality and ecological equity: evidence from China’s low-carbon city pilots S. Xing et al. https://doi.org/10.3389/fevo.2026.1789421
- Integrated life cycle assessment for sustainable agricultural land remediation: Full-chain analysis of environmental trade-offs and upstream carbon burdens H. Chen et al. https://doi.org/10.1016/j.jenvman.2026.130514
- Structural shifts in China’s oil and gas CH4 emissions with implications for mitigation efforts J. Luo et al. https://doi.org/10.1038/s41467-025-58237-z
- Current Estimates on Greenhouse Gas Emissions in China Between 1970 and 2023 S. Yao et al. https://doi.org/10.3390/atmos16111276
- Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates G. Kuhlmann et al. https://doi.org/10.5194/acp-26-4405-2026
- Machine-learning-based estimation of ground-level NO2 concentrations across Southeastern Europe using multi-source satellite, reanalysis, and emission data E. Bilgiç & T. Elbir https://doi.org/10.1016/j.envpol.2026.128461
- Accelerated deposition of South Asian anthropogenic emissions on southern Tibetan glaciers in the 21st century D. Yang et al. https://doi.org/10.1038/s43247-026-03444-9
- Carbon intensity assessment and fuel pathway optimization under the international maritime Organization's new regulations T. He et al. https://doi.org/10.1016/j.jclepro.2026.148465
- Quantifying interprovincial NO₂ transport over the Yangtze River Delta: Dynamics and drivers Z. Sun et al. https://doi.org/10.1016/j.jes.2026.01.004
- Promoting sustainable human mobility for income segregation mitigation Y. Chen et al. https://doi.org/10.1016/j.patter.2025.101477
- Changes in global NO2 pollution by shipping during the COVID-19 lockdown: Implication for sustainable marine operations S. Athul et al. https://doi.org/10.1016/j.jhazmat.2024.136482
- An evaluation of air quality in major urban areas of India S. Ghosh et al. https://doi.org/10.1088/2515-7620/ae5926
- Spatial association and trade-off/synergy relationships between ecosystem health and human well-being: a case study of the Manas River Basin R. Xiao et al. https://doi.org/10.1016/j.ecolind.2025.114060
- Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al. https://doi.org/10.1016/j.atmosenv.2025.121621
- The ELK global emission inventory for the transport sectors M. Righi et al. https://doi.org/10.5194/essd-18-1619-2026
- Global NO2 changes between 2019 and 2024 as observed by TROPOMI in urban areas and emerging hotspots D. Huber et al. https://doi.org/10.5194/acp-26-3783-2026
- Impervious Surface Expansion and Urban Carbon Emissions: Negative Spatial Spillovers in the Yangtze River Delta, China H. Wang et al. https://doi.org/10.3390/su18168134
- A Century of Vehicular Emissions in Brazil: Unveiling the Impacts of Unique Fuel Mix on Air Quality S. Ibarra-Espinosa et al. https://doi.org/10.1021/acs.est.5c08400
- Flux measurements of NOx, O3 and Ox: Emission characteristics, inventory validation and titration effects X. Zhang et al. https://doi.org/10.1016/j.envpol.2025.127213
- Atmospheric anthropogenic CO2 variations observed by tower in-situ measurements and simulated by the STILT model in the Beijing megacity region H. Yang et al. https://doi.org/10.1016/j.atmosres.2025.108258
- Space-based observation of global increase in urban methane emissions from 2019–2023 E. Whiting et al. https://doi.org/10.1073/pnas.2504211123
- Spatiotemporal evolution and driving factors of urban carbon balance in China using interpretable machine learning approaches S. Li & D. Fan https://doi.org/10.1007/s10668-026-07424-z
- Integrating IAM-based CO2 projections and traffic demand forecasting for regional CO2 emission mapping in the transport sector H. Hu et al. https://doi.org/10.1016/j.apr.2025.102790
- Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al. https://doi.org/10.5194/acp-26-4453-2026
- Towards routine shipborne measurements of columnar CO2, CH4, CO, and NO2: a case study for tracking regional-scale emission patterns V. Enders et al. https://doi.org/10.5194/amt-19-2633-2026
- “Low Carbon City-Green Transportation” Policy Synergy and Pollution Reduction and Carbon Emission Reduction—Based on DID Model D. Xie et al. https://doi.org/10.1177/21582440251382459
- China’s regional net zero scenarios to 2060 Y. Huang et al. https://doi.org/10.1007/s40974-025-00388-2
- Black carbon dynamics over the Northern Indian Ocean: Variability, emission sources, transport and future projections S. Singh & S. Tiwari https://doi.org/10.1016/j.gsf.2026.102263
- Synergistic Effects of Carbon Reduction in Urban Energy Consumption and Pollution Mitigation: A Case Study of Chengdu, China Q. Li & P. Zhang https://doi.org/10.3390/su172411191
- Impacts of multi-source data assimilation and model resolution on anthropogenic NOₓ emission inversions C. Wu et al. https://doi.org/10.1016/j.atmosres.2026.109105
- Dynamics of global CO2 and PM2.5 nexus and suggestions on the pathway heading to sustainable development for different income countries J. Liu et al. https://doi.org/10.1016/j.pce.2026.104537
- Global shipping pollutant emissions from 1970 to 2022: spatiotemporal changes and exposures Q. Tang et al. https://doi.org/10.1016/j.jclepro.2026.148852
- Microbial driver of 2006–2023 CH 4 growth indicated by trends in atmospheric δD–CH 4 and δ 13 C–CH 4 B. Riddell-Young et al. https://doi.org/10.1073/pnas.2516543122
- Toxicity-informed control of global PM2.5 emissions H. Zheng et al. https://doi.org/10.1093/nsr/nwag301
- Soil nitrous oxide emissions from global land ecosystems and their drivers within the LPJ-GUESS model (v4.1) J. Ma et al. https://doi.org/10.5194/gmd-18-3131-2025
- Inversion of CO emissions in Greater Bay Area over southern China using a WRF-STILT-Bayesian framework X. Lu et al. https://doi.org/10.1016/j.cacint.2026.100308
- Modeling and performance evaluation of noncovalent supramolecular adsorbent for post-combustion CO2 capture across various emission sources Y. Lee et al. https://doi.org/10.1016/j.cej.2026.179291
- SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes Y. Chen et al. https://doi.org/10.5194/acp-25-1851-2025
- Global Carbon Footprint Distribution Modeling and Dynamic Coordination Strategy for Emission Reduction Paths Under a Federated Coordination Mechanism R. Liu https://doi.org/10.1109/ACCESS.2026.3660873
- Decadal changes in atmospheric ammonia and dry deposition across China inferred from space-ground measurements and model simulations F. Sun et al. https://doi.org/10.5194/acp-25-17907-2025
- Quantifying the impact of air pollution from coal-fired electricity generation on crop productivity in India K. Singh et al. https://doi.org/10.1073/pnas.2421679122
- Climate mitigation and adaptation strategies tailored for different types of European cities: a typology and associated systematic review M. Kopp et al. https://doi.org/10.1088/1748-9326/ae7e97
- Peak greening at moderate shrinking intensity across Chinese counties R. Chen et al. https://doi.org/10.1016/j.jenvman.2026.130348
- Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
- Impact of emission inventory uncertainty on secondary inorganic aerosol simulation over Beijing–Tianjin–Hebei region Y. Li et al. https://doi.org/10.1016/j.apr.2026.102996
- Vertical Profile Corrections Explain Satellite–Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China Q. Liu et al. https://doi.org/10.1021/acs.est.5c08278
- The total column of CO2 and CH4 observed in Nyingchi, Tibet, based on the ground-based portable FTIR C. Shan et al. https://doi.org/10.1016/j.atmosenv.2025.121241
- Who pollutes more? The influence of human development and its economic and social dimensions on non-greenhouse gas air pollutant emissions in the arab world S. Jaber https://doi.org/10.1088/2515-7620/ae4a01
- Carbon farming in Brazil and implications for food (in)security in Africa in support of the south-south cooperation C. Nwaogu et al. https://doi.org/10.1016/j.jafr.2025.102341
202 citations as recorded by crossref.
- Lifetime exposure to health-related air pollutants in the United Kingdom: A spatiotemporal evaluation (1930–2010) through WRF-CMAQ modeling G. Chen et al. https://doi.org/10.1016/j.atmosenv.2025.121093
- High-resolution spatiotemporal dynamic simulation and driving force analysis of carbon emissions in coastal cities: The case of Ningbo City G. Cui et al. https://doi.org/10.1016/j.scs.2026.107195
- Enhancing Space-Based Tracking of Fossil Fuel CO2 Emissions via Synergistic Integration of OCO-2, OCO-3, and TROPOMI Measurements T. Li et al. https://doi.org/10.1021/acs.est.4c05896
- How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al. https://doi.org/10.5194/acp-26-1931-2026
- The role of digitalization in the impact of renewable energy on sustainable development in the Eurozone O. Zarrad et al. https://doi.org/10.1007/s43621-025-01639-2
- Plasma-catalytic CH4 reforming with CO2 over biochar in a dielectric barrier discharge reactor D. MEI 梅 et al. https://doi.org/10.1088/2058-6272/ae7270
- Global Insights into the Synergistic Characteristics of Methane and Nitrous Oxide Emissions from China’s Animal Husbandry and Their Policy Implications L. Yang et al. https://doi.org/10.3390/atmos17060590
- International trade and air-quality-related mortality S. Wang et al. https://doi.org/10.1038/s41467-026-71408-w
- Government advocacy for ecological value reshapes the environmental Kuznets curve: Evidence from China’s ecosystem product value realization M. Jin et al. https://doi.org/10.1016/j.eap.2026.02.031
- Multi-Source Remote Sensing-Constrained Evaluation of CMAQ Aerosol Optical Depth over Major Urban Clusters in China Z. Peng et al. https://doi.org/10.3390/rs18081134
- City-level carbon emissions data in Southeast Asia from 2000 to 2020 X. Chen & Y. Ba https://doi.org/10.1038/s41597-026-07320-1
- Applying satellite observations to improve bottom-up national emission inventories for methane: application to Colombia S. Hancock et al. https://doi.org/10.5194/acp-26-10455-2026
- Comparison of High-Resolution Gridded Emission Maps of Anthropogenic Carbon Dioxide in Europe: GRACED & CAMS-REG Q. Shi et al. https://doi.org/10.1021/acs.est.4c07289
- Urban trees exhibit stronger sensitivity to environmental change but larger growth recovery than their rural counterparts J. Yang et al. https://doi.org/10.1016/j.dendro.2026.126476
- Inversion-based assessment of anthropogenic NOx emission changes in Ukraine during the 2022–2023 war using TROPOMI satellite data Y. Mao et al. https://doi.org/10.5194/acp-25-14187-2025
- Provincial CO2 emission peak and drivers in China based on near-real-time data X. Huang et al. https://doi.org/10.1016/j.adapen.2025.100260
- Worldwide inference of national methane emissions by inversion of satellite observations with UNFCCC prior estimates J. East et al. https://doi.org/10.1038/s41467-025-67122-8
- Assessing climate and air quality benefits of methane mitigation for U.S. landfills A. Folorunsho et al. https://doi.org/10.1016/j.jenvman.2026.128707
- High-resolution inventories for Reactive Nitrogen Emissions from China’s livestock during 2005–2022 Y. Chen et al. https://doi.org/10.1038/s41597-025-05394-x
- Does Coordinated Regional Development Reduce Urban Carbon Emissions? Evidence from the Beijing–Tianjin–Hebei Strategy G. Hu et al. https://doi.org/10.3390/land15081432
- A new strategy for fine-scale identification of urban PM2.5 spatial patterns and air quality assessment: a case study of the Urumqi-Changji-Shihezi Region Y. Ren et al. https://doi.org/10.1007/s10668-026-07704-8
- Enhancing the Detection of Potential Anthropogenic Methane Emission Sources in China Using Machine Learning and TROPOMI Observations S. Yu et al. https://doi.org/10.1021/acs.estlett.6c00115
- Assessing the effectiveness of large-scale ecological restoration programs: a spatiotemporal analysis of ecological efficiency in forest and landscape restoration Y. Ren et al. https://doi.org/10.1007/s11676-026-01990-8
- Vast and hidden urban methane emissions from the Russia–Ukraine war Z. Feng et al. https://doi.org/10.1038/s44284-025-00309-8
- The relationship between tourism, economic growth and environmental sustainability: empirical evidence from major tourist destinations F. Alcalá-Olid et al. https://doi.org/10.1057/s41599-025-06307-4
- GHGPSE-Net: a method towards spaceborne automated extraction of greenhouse-gas point sources using point-object-detection deep neural network Y. Pang et al. https://doi.org/10.5194/gmd-19-1683-2026
- Adjustment of the Power of Model Emissions of Anthropogenic Atmospheric Pollution Sources Based on Measurement Data and Adjoint Problem Methods P. Antokhin et al. https://doi.org/10.1134/S1024856025700319
- Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations S. Hancock et al. https://doi.org/10.5194/acp-25-797-2025
- Spatiotemporal variability of methane concentrations driven by ruminant livestock in Mongolia: insights from satellite observations and machine learning C. Bao et al. https://doi.org/10.1080/15481603.2025.2582118
- Evidence of policy-driven emission reductions and post-pandemic rebound from high-resolution inventories in China W. Shan et al. https://doi.org/10.1016/j.jes.2026.01.009
- Satellite-Based Estimation of Urban CO2 Emissions in Shandong Province, China, Using TROPOMI NO2 Observations and Differential Evolution Algorithm Y. Xie et al. https://doi.org/10.3390/rs18101470
- Bridging the Gap: A comprehensive review and cross-check analysis for China's Non-CO2 greenhouse gas emission estimates L. Hu & X. Fang https://doi.org/10.1016/j.jenvman.2025.127362
- The Influence of Emission Sources and Meteorological Factors to Long-Term Changes in PM2.5 over China (1980–2022) X. Lu et al. https://doi.org/10.3390/atmos17040359
- Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions Y. Bo et al. https://doi.org/10.5194/gmd-18-3799-2025
- Novel lightweight based coal mine methane emission framework exhibits transferability between observations in Poland and Shanxi B. Zheng et al. https://doi.org/10.1088/2515-7620/ae67e9
- Quantifying Meteorological and Emission-Control Contributions to PM2.5 and Ozone Changes During the 2023 G20 Summit in New Delhi Z. Han et al. https://doi.org/10.3390/atmos17060584
- Enabling a Digital Earth for methane emissions management with equal-area discrete global grids M. Li & S. Liang https://doi.org/10.1080/17538947.2025.2607210
- Spatiotemporal Analysis of Methane Emissions and Mitigation Potential in China: A Scenario-Based Study Using the Greenhouse Gas—Air Pollution Interactions and Synergies—Methane Framework Y. Deng et al. https://doi.org/10.3390/atmos17040419
- Scenario aware multi pollutant emissions forecasting for India using hybrid ridge-VARX and gradient boosting with inequality aware reconciliation G. Kannaiyan et al. https://doi.org/10.1088/2515-7620/ae44ea
- Quantifying national, state, and oil/gas field methane emissions and trends in the US (2019–2024) through high resolution inversion of satellite observations L. Estrada et al. https://doi.org/10.5194/acp-26-10629-2026
- Physical consumption data reveals hidden carbon inequalities beyond monetary-based accounting Y. Guan et al. https://doi.org/10.1016/j.spc.2026.07.025
- Quantifying methane emissions from large coal mine using Sentinel-5 Precursor satellite data and Gaussian plume model Y. Chen et al. https://doi.org/10.1016/j.jag.2026.105491
- Reconciling bottom-up and top-down agricultural ammonia emission estimates Z. Ma et al. https://doi.org/10.1016/j.treopn.2026.07.004
- North–south inhomogeneous variations of methane emissions observed by TROPOMI over China S. Yu et al. https://doi.org/10.1016/j.jenvman.2026.129542
- Satellite Insights into methane Super-Emitters: Regional emissions and yearly growth on Turkmenistan’s west coast Z. He et al. https://doi.org/10.1016/j.jag.2025.104975
- Characterizing diurnal variability in power plant carbon emissions in Asia: A top-down estimation approach constrained by geostationary NO2 and OCO-3 CO2 observations T. Xu et al. https://doi.org/10.1016/j.rse.2026.115261
- Catalyst engineering strategies for low-temperature and stable CO2 methanation T. Wang et al. https://doi.org/10.1039/D6CY00732E
- Arctic wildfire carbon emissions strongly influenced by midsummer Tibetan Plateau precipitation X. Yang et al. https://doi.org/10.1038/s43247-025-02505-9
- Detection of local-source contributions in ground-level atmospheric methane in Japan J. Zhang & H. Hayami https://doi.org/10.1016/j.atmosenv.2026.121948
- Emerging carbon dioxide hotspots in East Asia identified by a top-down inventory L. Xia et al. https://doi.org/10.1038/s43247-024-01991-7
- Carbon accounting for transport infrastructure: The relevance of non-traffic emissions F. Bruzzone et al. https://doi.org/10.1016/j.trd.2026.105301
- ML-based prediction and forecasting of GHG emissions and Particulate Matters from MSW landfill and incineration in Guwahati City T. Singh & R. Uppaluri https://doi.org/10.1007/s00704-026-06332-6
- Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al. https://doi.org/10.3390/rs16213963
- Satellite observations reveal underestimation of CO 2 emissions in Africa and the Middle East X. Lin et al. https://doi.org/10.1126/sciadv.aee1447
- Super-resolution localization and quantification of SO2 emissions over India using TROPOMI observations Y. Chen et al. https://doi.org/10.5194/amt-19-2737-2026
- High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al. https://doi.org/10.5194/acp-25-15121-2025
- Temporal-spatial characteristics and driver pattern of methane emission in heterogeneous Chinese cities C. Xu et al. https://doi.org/10.1016/j.jclepro.2025.144748
- Development of a global integrated environmental quality index for population health research W. Ruan et al. https://doi.org/10.1016/j.envpol.2026.128701
- Identifying Major CO2 and CH4 Emission Sources with the STILT Model in the Seoul Metropolitan Area During Winter 2024, Including the ASIA-AQ Campaign H. Choi et al. https://doi.org/10.1007/s13143-025-00428-1
- Mapping High-Resolution Carbon Emission Spatial Distribution Combined with Carbon Satellite and Muti-Source Data L. Cui et al. https://doi.org/10.3390/rs17173125
- Global impact of fire emission on ambient nitrate (NO3-) and health effects during 2005–2019 W. Sun et al. https://doi.org/10.1016/j.jhazmat.2025.138509
- City-level Ecological Footprint: Measurement, key determinants, and the role of lifestyle R. Zhang et al. https://doi.org/10.1016/j.enbuild.2025.115922
- Spatial–temporal evolution, drivers, and pathways of the synergistic effects of digital transformation on pollution and carbon reduction in heavily polluting enterprises W. Mai et al. https://doi.org/10.1038/s41598-025-96834-6
- Long-term analysis of atmospheric propane over Southern Europe based on observations conducted at the WMO-GAW station of Monte Cimone E. Mancinelli et al. https://doi.org/10.5194/acp-26-4105-2026
- Scaling up water-saving irrigation reduces yield-scaled greenhouse gas emissions by over one-quarter in China’s rice paddies Q. Xu et al. https://doi.org/10.1016/j.agwat.2025.109937
- The CMA Chemistry–Weather Coupled Model and Its Operational Forecast of Fog–Haze and Sand/Dust Storms H. Wang et al. https://doi.org/10.1007/s13351-026-6051-3
- Global energy sector methane emissions estimated by using facility-level satellite observations D. Jervis et al. https://doi.org/10.1126/science.adv3183
- Wildfire-induced suppression of anthropogenic sulfate formation in downwind regions of Northeast Asia D. Kim et al. https://doi.org/10.1016/j.envpol.2026.128872
- Deep Placement of Nitrogen Fertilizer Mitigates Methane Emissions from Rice Paddies by Modulating Methanogenic and Methanotrophic Communities in a Rice–Wheat Rotation System M. Hashmi et al. https://doi.org/10.3390/agronomy16141333
- Norwegian–Polish carbon capture and storage network: Bilateral collaboration for European climate action M. Nooraiepour et al. https://doi.org/10.1016/j.erss.2025.104106
- Investigation of China’s Anthropogenic Methane Emissions with Approaches, Potentials, Economic Cost, and Social Benefits of Reductions R. Feng et al. https://doi.org/10.3390/atmos16111245
- A review of atmospheric black carbon research progress in China Q. Zhou et al. https://doi.org/10.1016/j.atmosenv.2026.122290
- Constraining anthropogenic CO2 emissions in Xinjiang, China based on OCO-2 and OCO-3 Missions C. Jin et al. https://doi.org/10.1016/j.atmosenv.2026.122088
- Assessment of thermal power plant CO2 emissions quantification performance and uncertainty of measurements by ground-based remote sensing C. Li et al. https://doi.org/10.1016/j.envpol.2024.124886
- The biomass dilemma: Assessing synergies and trade-offs between climate change mitigation, air quality and other environmental impacts across the EU J. Bastos et al. https://doi.org/10.1016/j.spc.2026.04.002
- Methane Concentration in the Atmosphere over Seas of the Western Sector of Russian Arctic in the Late Autumn Season in 2023 N. Pankratova et al. https://doi.org/10.1134/S0001433825701063
- Wealth, health, and happiness: An inverse story of the Easterlin Paradox in China Y. Wang et al. https://doi.org/10.1371/journal.pone.0342445
- Global methane emissions from rice paddies are now increasingly quantifiable M. Mehla et al. https://doi.org/10.1038/s43247-026-03902-4
- Quantifying the Impact of High Emitters on Vehicle Emissions: An Analysis of Ecuador’s Inspection and Maintenance Program S. Ibarra-Espinosa et al. https://doi.org/10.3390/atmos17010031
- Zero Fare, Cleaner Air? The Causal Effect of Luxembourg’s Free Public Transportation Policy on Transport Emissions T. Eibinger & S. Fernando https://doi.org/10.1007/s10640-026-01090-5
- Cross-regional NO2 transport over the Tibetan Plateau (2005–2024): bidirectional flux dynamics, seasonal drivers, and environmental implications Z. Sun et al. https://doi.org/10.5194/acp-26-11027-2026
- Accounting for climate: exploring the materiality of financial reporting in shaping mitigation pathways A. Haldane et al. https://doi.org/10.1108/MEDAR-08-2025-3205
- Methane intensity and emissions across major oil and gas basins and individual jurisdictions using MethaneSAT observations J. Williams et al. https://doi.org/10.5194/acp-26-5961-2026
- Synergic pollution reduction and carbon reduction effects of the "innovation-driven + property rights protection" policy instrument combination X. Wang https://doi.org/10.1007/s10098-025-03317-3
- A Cost-Benefit Analysis Framework for Urban Methane Monitoring K. Mueller & A. Karion https://doi.org/10.1021/acsestair.6c00084
- Long-term trace gas and black carbon measurements at the high-altitude station Mount Kenya: tropical atmospheric variability and the influence of African emissions L. Bernet et al. https://doi.org/10.5194/acp-26-6741-2026
- Developed urban datasets for WRF-STILT: impacts on near-surface CO2 concentration in urban functional zones C. Xu et al. https://doi.org/10.3389/feart.2026.1787526
- Pollution-Carbon Synergy Significantly Enhances the Capability of Tracking Power Plants’ CO2 Emissions from Space D. Fan et al. https://doi.org/10.1021/acs.est.5c01100
- Digital Economy and Virality Products of Startup Users Informal Sector in Palembang: An Analysis of Spatial Distribution-Based Study M. Monanisa et al. https://doi.org/10.37394/23209.2025.22.34
- Top-down benchmark of US methane inventories reveals regional discrepancies in activity-based estimates J. Worden et al. https://doi.org/10.5194/acp-26-8855-2026
- Validation of the 2021 Emission Inventory for Cuenca, Ecuador, Through Weather and Air Quality Modeling in the Framework of WRF-Chem R. Parra et al. https://doi.org/10.3390/atmos17060569
- From Spatial Evolution to Low-Carbon Transition: Regional Heterogeneity and Stage Diagnosis of Carbon Emissions Across 19 Urban Agglomerations in China Y. Duan et al. https://doi.org/10.3390/ijgi15080352
- Regional CO2 and CH4 inversion system using WRF-Chem (v4.4)/DART (v9.8.0) and continuous high-precision observations over the Korean Peninsula D. Kwon et al. https://doi.org/10.5194/gmd-19-7325-2026
- High-resolution anthropogenic emission inventory for China (2015–2024): Spatiotemporal changes and environmental application D. Li et al. https://doi.org/10.1016/j.atmosenv.2025.121495
- RSML-TUSCE: A Machine-Learning Model for High-Resolution Gridded Monthly Sector Carbon Emission Timely Updates via Spatialized Emissions and Remote Sensing B. Li et al. https://doi.org/10.1109/TGRS.2025.3647625
- Measurement-based assessment reveals key drivers and mitigation potential of methane emissions from China’s wastewater treatment C. Sun et al. https://doi.org/10.1126/sciadv.aec0536
- Datasets for top-down estimates of sectoral CO2 and CH4 emissions, terrestrial and ocean carbon exchanges, and atmospheric concentrations over the Korean Peninsula J. Hong et al. https://doi.org/10.1016/j.dib.2026.112868
- Black carbon in major global source areas from 2000 to 2023: Spatiotemporal variation, vertical distribution, and extreme case analysis Y. Zhang et al. https://doi.org/10.1016/j.envpol.2025.125929
- Satellite Observations Reveal Increasing Offshore Gas Flaring Activity and Atmospheric Emissions in the Bohai Sea, China W. Liu et al. https://doi.org/10.1021/acs.estlett.6c00344
- What drives sustainable urban growth in China? Unlocking the spatial dynamics of new quality productivity C. Chen et al. https://doi.org/10.1016/j.iref.2026.105621
- Assessment of urban traffic vehicle emissions reduction after integration of ‘traffic light countdown’ module in navigation M. Zhang et al. https://doi.org/10.1088/2515-7620/adbfdf
- Geologic CO2 sequestration: unveiling complexities, challenges and strategic insights toward net zero emissions—A critical review in the Indian context P. Shukla et al. https://doi.org/10.1007/s40974-026-00410-1
- Global geopolitical risk and greenhouse gas emission inequality C. Xu et al. https://doi.org/10.1016/j.eiar.2026.108594
- Analysis on spatial pattern evolution and policy of CO2 emissions from economic sectors in China from 2005 to 2020 X. Zhang et al. https://doi.org/10.1016/j.jenvman.2025.127606
- Global daily CO2 emissions from 1970 to 2024 T. Li et al. https://doi.org/10.1038/s41597-026-06621-9
- High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al. https://doi.org/10.1016/j.jclepro.2026.148229
- Renewable Electricity Transition, Waste System Modernization, and Sustainable Methane Mitigation: Global Evidence on Governance-Conditioned Co-Benefits Y. Lu et al. https://doi.org/10.3390/su18073478
- Fairness-based optimization in electric vehicle charging scheduling with heterogeneous chargers: Comparative analysis and solution approaches R. Gauchotte et al. https://doi.org/10.1016/j.trc.2026.105900
- A percentile-based inverse modelling approach for enhanced source quantification using high-frequency concentration measurements A. Luhar et al. https://doi.org/10.1016/j.atmosenv.2026.121776
- Synergy of Multiple‐Satellite Measurements to Fill the Gap of Global XCO2 J. Lee et al. https://doi.org/10.1029/2024JD042809
- 2019–2024 trends in African livestock and wetland emissions as contributors to the global methane rise N. Balasus et al. https://doi.org/10.5194/acp-26-4601-2026
- Urban mitigation pathways for decarbonising infrastructure across sectors for sustainability Ş. Kılkış https://doi.org/10.1016/j.energy.2026.142170
- Assessment of quasi-global surface ozone simulations with WRF-chem using multi-dataset evaluation L. Wu et al. https://doi.org/10.1016/j.envpol.2026.128230
- Applicability and Evaluation of Flue Gas Treatment Methods for Oxyfuel Combustion S. Talei et al. https://doi.org/10.1021/acs.iecr.6c00203
- Mapping the Global Carbon Emissions of Marine Sectors C. Feng et al. https://doi.org/10.1021/acs.est.4c09209
- Halving global ammonia emissions with cost-effective measures X. Zhang et al. https://doi.org/10.1038/s41893-025-01723-5
- VOCs over the Himalayan-Tibetan Plateau: A review of observations, sources, and atmospheric processes D. Shan et al. https://doi.org/10.1016/j.atmosres.2026.109139
- Dynamics of ecosystem health in the Guanzhong-Tianshui Economic Zone: A Catboost and SHAP−based analysis from 1990 to 2020 W. Xiao et al. https://doi.org/10.1016/j.ecolind.2025.114431
- Impacts of summertime photochemical aging on the physicochemical properties of aerosols in a Paris suburban forest region C. Yu et al. https://doi.org/10.5194/acp-26-5313-2026
- Simulation and spatiotemporal dynamic analysis of air-mediated ecosystem service flows: A case study of Guanzhong Plain urban agglomeration Y. Wang et al. https://doi.org/10.1016/j.ecolind.2025.113892
- The HTAP_v3.2 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies D. Guizzardi et al. https://doi.org/10.5194/essd-17-5915-2025
- Monthly methane emissions in Chinese mainland provinces from 2013–2022 D. Cui et al. https://doi.org/10.1038/s41597-025-05107-4
- Unraveling spatially heterogeneous drivers of winter PM2.5 in China through synchronous observations and explainable machine learning H. Zheng et al. https://doi.org/10.1016/j.atmosenv.2026.122285
- Reduction of methane emissions through improved landfill management H. Tong et al. https://doi.org/10.1038/s41558-025-02391-1
- Photocatalytic NOx Oxidation and Storage: An Alternative Technology for Airborne NOx Abatement Beyond the Point of Production R. Babacan Tosun et al. https://doi.org/10.1007/s11244-026-02322-0
- Remote Sensing for Quantifying Greenhouse Gas Emissions at Carbon Capture, Utilisation and Storage Facilities: A Review C. Karoff et al. https://doi.org/10.3390/rs17223707
- Space-based inversion reveals underestimated carbon monoxide emissions over Shanxi X. Li et al. https://doi.org/10.1038/s43247-025-02301-5
- The scaling law of CO2 emissions in Chinese urban agglomerations: A Zipf’s law perspective and its policy implications Y. Ning et al. https://doi.org/10.1016/j.scs.2026.107500
- Atmospheric black carbon in the climate system Ö. Gustafsson et al. https://doi.org/10.1038/s43017-026-00773-3
- Time Series Forecasting of Greenhouse Gas Emissions Using Deep Learning D. Yalçıner Çal & E. Küçüksille https://doi.org/10.35378/gujs.1800123
- Near-Real-Time Emission Characterization for Major Industrial Sectors Using Multisatellite and Base-Year Emission Inventories J. Ye et al. https://doi.org/10.1021/acs.estlett.5c00462
- Global black carbon aerosol: Spatiotemporal distributions, drivers, and health impacts H. Yu et al. https://doi.org/10.1016/j.jhazmat.2026.142933
- Regional air quality trade-offs from vehicle electrification in China C. Jiang et al. https://doi.org/10.1016/j.trd.2026.105311
- Challenges in mechanistic modeling of methane production and release in agricultural soils: Perspective on limitations and opportunities S. Beegum et al. https://doi.org/10.1080/10643389.2026.2612932
- Green digital pathway toward carbon neutrality: examining the role of green data centers in reducing carbon emissions C. Nie et al. https://doi.org/10.1007/s10098-026-03439-2
- Green leapfrogging in China? Unveiling the impact of new infrastructure construction on synergistic control of pollutants and carbon emissions: Evidence from green data center Z. Yang et al. https://doi.org/10.1016/j.scs.2026.107371
- How does big data development affect urban environmental welfare performance in China? Evidence from national big data comprehensive pilot zones X. Wang et al. https://doi.org/10.1016/j.iref.2026.105247
- Biomethanol as a Marine Fuel Within Land Use Sustainability Boundaries H. Esfandiari et al. https://doi.org/10.3390/cleantechnol7040101
- High resolution air quality simulation in the Himalayan valleys, a case study in Bhutan B. Bessagnet et al. https://doi.org/10.5194/acp-25-18675-2025
- Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al. https://doi.org/10.5194/gmd-18-3311-2025
- Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022 S. Patil et al. https://doi.org/10.1038/s41597-025-05938-1
- Surface ozone distribution and trends over Ireland: insights from long-term measurement record and source attribution modelling N. Korhale et al. https://doi.org/10.5194/acp-26-6557-2026
- Spatial-temporal patterns and drivers of coastal water quality dynamics: Insights from explainable machine learning and PLS-SEM analysis in Xiamen Bay, China . Aynuddin et al. https://doi.org/10.1016/j.marpolbul.2026.119251
- Machine learning estimates for G20 subnational urban GHG emissions from 2000–2020 Y. Yu et al. https://doi.org/10.1038/s41597-026-06691-9
- Missing wintertime methane emissions from New York City related to combustion L. Schiferl et al. https://doi.org/10.5194/acp-25-15683-2025
- Impacts of source regions and atmospheric transport on physical properties of black carbon and tracer ratios over the Yellow Sea: evidence from multi-seasonal airborne observations N. Yu et al. https://doi.org/10.5194/acp-25-15263-2025
- Energy, exergy and environmental analysis of Rankine cycle for a steady state CFETR power plant with divertor as preheater M. Khan et al. https://doi.org/10.1016/j.energy.2026.140589
- Spatial distribution of bird diversity sensitivity to air pollutants K. Yang et al. https://doi.org/10.1016/j.jclepro.2026.147616
- An Intercomparison of Underground Coal Mine Methane Emission Estimation in Shanxi, China: S5P/TROPOMI vs. GF-5B/AHSI Z. Yang et al. https://doi.org/10.3390/rs18040603
- An Integrated Framework for MOSAIC-AQNEA Emission Inventory Development in Northeast Asia M. Park et al. https://doi.org/10.1007/s13143-026-00434-x
- Changing tropospheric NO2 dynamics across Indian air pollution hotspots A. Biswal et al. https://doi.org/10.1016/j.envpol.2025.126160
- Dynamic regional synergies in air pollution and carbon reduction in China: A stacked ensemble machine learning approach for precise emission control K. Wang et al. https://doi.org/10.1016/j.apr.2026.102924
- Assessment of methane emissions from US onshore oil and gas production using MethaneAIR measurements K. MacKay et al. https://doi.org/10.5194/acp-26-1179-2026
- A spatially explicit assessment of intra-urban carbon emission inequality and ecological equity: evidence from China’s low-carbon city pilots S. Xing et al. https://doi.org/10.3389/fevo.2026.1789421
- Integrated life cycle assessment for sustainable agricultural land remediation: Full-chain analysis of environmental trade-offs and upstream carbon burdens H. Chen et al. https://doi.org/10.1016/j.jenvman.2026.130514
- Structural shifts in China’s oil and gas CH4 emissions with implications for mitigation efforts J. Luo et al. https://doi.org/10.1038/s41467-025-58237-z
- Current Estimates on Greenhouse Gas Emissions in China Between 1970 and 2023 S. Yao et al. https://doi.org/10.3390/atmos16111276
- Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates G. Kuhlmann et al. https://doi.org/10.5194/acp-26-4405-2026
- Machine-learning-based estimation of ground-level NO2 concentrations across Southeastern Europe using multi-source satellite, reanalysis, and emission data E. Bilgiç & T. Elbir https://doi.org/10.1016/j.envpol.2026.128461
- Accelerated deposition of South Asian anthropogenic emissions on southern Tibetan glaciers in the 21st century D. Yang et al. https://doi.org/10.1038/s43247-026-03444-9
- Carbon intensity assessment and fuel pathway optimization under the international maritime Organization's new regulations T. He et al. https://doi.org/10.1016/j.jclepro.2026.148465
- Quantifying interprovincial NO₂ transport over the Yangtze River Delta: Dynamics and drivers Z. Sun et al. https://doi.org/10.1016/j.jes.2026.01.004
- Promoting sustainable human mobility for income segregation mitigation Y. Chen et al. https://doi.org/10.1016/j.patter.2025.101477
- Changes in global NO2 pollution by shipping during the COVID-19 lockdown: Implication for sustainable marine operations S. Athul et al. https://doi.org/10.1016/j.jhazmat.2024.136482
- An evaluation of air quality in major urban areas of India S. Ghosh et al. https://doi.org/10.1088/2515-7620/ae5926
- Spatial association and trade-off/synergy relationships between ecosystem health and human well-being: a case study of the Manas River Basin R. Xiao et al. https://doi.org/10.1016/j.ecolind.2025.114060
- Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al. https://doi.org/10.1016/j.atmosenv.2025.121621
- The ELK global emission inventory for the transport sectors M. Righi et al. https://doi.org/10.5194/essd-18-1619-2026
- Global NO2 changes between 2019 and 2024 as observed by TROPOMI in urban areas and emerging hotspots D. Huber et al. https://doi.org/10.5194/acp-26-3783-2026
- Impervious Surface Expansion and Urban Carbon Emissions: Negative Spatial Spillovers in the Yangtze River Delta, China H. Wang et al. https://doi.org/10.3390/su18168134
- A Century of Vehicular Emissions in Brazil: Unveiling the Impacts of Unique Fuel Mix on Air Quality S. Ibarra-Espinosa et al. https://doi.org/10.1021/acs.est.5c08400
- Flux measurements of NOx, O3 and Ox: Emission characteristics, inventory validation and titration effects X. Zhang et al. https://doi.org/10.1016/j.envpol.2025.127213
- Atmospheric anthropogenic CO2 variations observed by tower in-situ measurements and simulated by the STILT model in the Beijing megacity region H. Yang et al. https://doi.org/10.1016/j.atmosres.2025.108258
- Space-based observation of global increase in urban methane emissions from 2019–2023 E. Whiting et al. https://doi.org/10.1073/pnas.2504211123
- Spatiotemporal evolution and driving factors of urban carbon balance in China using interpretable machine learning approaches S. Li & D. Fan https://doi.org/10.1007/s10668-026-07424-z
- Integrating IAM-based CO2 projections and traffic demand forecasting for regional CO2 emission mapping in the transport sector H. Hu et al. https://doi.org/10.1016/j.apr.2025.102790
- Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al. https://doi.org/10.5194/acp-26-4453-2026
- Towards routine shipborne measurements of columnar CO2, CH4, CO, and NO2: a case study for tracking regional-scale emission patterns V. Enders et al. https://doi.org/10.5194/amt-19-2633-2026
- “Low Carbon City-Green Transportation” Policy Synergy and Pollution Reduction and Carbon Emission Reduction—Based on DID Model D. Xie et al. https://doi.org/10.1177/21582440251382459
- China’s regional net zero scenarios to 2060 Y. Huang et al. https://doi.org/10.1007/s40974-025-00388-2
- Black carbon dynamics over the Northern Indian Ocean: Variability, emission sources, transport and future projections S. Singh & S. Tiwari https://doi.org/10.1016/j.gsf.2026.102263
- Synergistic Effects of Carbon Reduction in Urban Energy Consumption and Pollution Mitigation: A Case Study of Chengdu, China Q. Li & P. Zhang https://doi.org/10.3390/su172411191
- Impacts of multi-source data assimilation and model resolution on anthropogenic NOₓ emission inversions C. Wu et al. https://doi.org/10.1016/j.atmosres.2026.109105
- Dynamics of global CO2 and PM2.5 nexus and suggestions on the pathway heading to sustainable development for different income countries J. Liu et al. https://doi.org/10.1016/j.pce.2026.104537
- Global shipping pollutant emissions from 1970 to 2022: spatiotemporal changes and exposures Q. Tang et al. https://doi.org/10.1016/j.jclepro.2026.148852
- Microbial driver of 2006–2023 CH 4 growth indicated by trends in atmospheric δD–CH 4 and δ 13 C–CH 4 B. Riddell-Young et al. https://doi.org/10.1073/pnas.2516543122
- Toxicity-informed control of global PM2.5 emissions H. Zheng et al. https://doi.org/10.1093/nsr/nwag301
- Soil nitrous oxide emissions from global land ecosystems and their drivers within the LPJ-GUESS model (v4.1) J. Ma et al. https://doi.org/10.5194/gmd-18-3131-2025
- Inversion of CO emissions in Greater Bay Area over southern China using a WRF-STILT-Bayesian framework X. Lu et al. https://doi.org/10.1016/j.cacint.2026.100308
- Modeling and performance evaluation of noncovalent supramolecular adsorbent for post-combustion CO2 capture across various emission sources Y. Lee et al. https://doi.org/10.1016/j.cej.2026.179291
- SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes Y. Chen et al. https://doi.org/10.5194/acp-25-1851-2025
- Global Carbon Footprint Distribution Modeling and Dynamic Coordination Strategy for Emission Reduction Paths Under a Federated Coordination Mechanism R. Liu https://doi.org/10.1109/ACCESS.2026.3660873
- Decadal changes in atmospheric ammonia and dry deposition across China inferred from space-ground measurements and model simulations F. Sun et al. https://doi.org/10.5194/acp-25-17907-2025
- Quantifying the impact of air pollution from coal-fired electricity generation on crop productivity in India K. Singh et al. https://doi.org/10.1073/pnas.2421679122
- Climate mitigation and adaptation strategies tailored for different types of European cities: a typology and associated systematic review M. Kopp et al. https://doi.org/10.1088/1748-9326/ae7e97
- Peak greening at moderate shrinking intensity across Chinese counties R. Chen et al. https://doi.org/10.1016/j.jenvman.2026.130348
- Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
- Impact of emission inventory uncertainty on secondary inorganic aerosol simulation over Beijing–Tianjin–Hebei region Y. Li et al. https://doi.org/10.1016/j.apr.2026.102996
- Vertical Profile Corrections Explain Satellite–Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China Q. Liu et al. https://doi.org/10.1021/acs.est.5c08278
- The total column of CO2 and CH4 observed in Nyingchi, Tibet, based on the ground-based portable FTIR C. Shan et al. https://doi.org/10.1016/j.atmosenv.2025.121241
- Who pollutes more? The influence of human development and its economic and social dimensions on non-greenhouse gas air pollutant emissions in the arab world S. Jaber https://doi.org/10.1088/2515-7620/ae4a01
- Carbon farming in Brazil and implications for food (in)security in Africa in support of the south-south cooperation C. Nwaogu et al. https://doi.org/10.1016/j.jafr.2025.102341
Saved (final revised paper)
Latest update: 18 Aug 2026
Short summary
Knowing where emissions occur is essential for planning effective emission reduction measures and atmospheric modelling. Disaggregating national emissions over high-resolution grids requires spatial proxies that contain information on the location of different emission sources. This work incorporates state-of-the-art spatial information to improve the spatial representation of global emissions with the Emissions Database for Global Atmospheric Research (EDGAR).
Knowing where emissions occur is essential for planning effective emission reduction measures...
Altmetrics
Final-revised paper
Preprint