49 citations as recorded by crossref.

1. The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
2. An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions J. McNorton et al. 10.1029/2022MS003286
3. Systematic detection of local CH<sub>4</sub> anomalies by combining satellite measurements with high-resolution forecasts J. Barré et al. 10.5194/acp-21-5117-2021
4. Global warming will largely increase waste treatment CH4 emissions in Chinese megacities: insight from the first city-scale CH4 concentration observation network in Hangzhou, China C. Hu et al. 10.5194/acp-23-4501-2023
5. Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
6. Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations V. Arora et al. 10.5194/bg-20-1313-2023
7. The size of the land carbon sink in China Y. Wang et al. 10.1038/s41586-021-04255-y
8. Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink? C. Seiler et al. 10.1029/2021MS002946
9. Technical note: A high-resolution inverse modelling technique for estimating surface CO<sub>2</sub> fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
10. State of Wildfires 2023–2024 M. Jones et al. 10.5194/essd-16-3601-2024
11. Can a regional-scale reduction of atmospheric CO<sub>2</sub> during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO<sub>2</sub> retrievals M. Buchwitz et al. 10.5194/amt-14-2141-2021
12. Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction V. Thilakan et al. 10.5194/acp-22-15287-2022
13. Consideration of Top-down Greenhouse Gas Estimation Approaches to Prepare Carbon Neutral Policy S. Joo et al. 10.5572/KOSAE.2022.38.6.933
14. Global nature run data with realistic high-resolution carbon weather for the year of the Paris Agreement A. Agustí-Panareda et al. 10.1038/s41597-022-01228-2
15. Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020 A. Agustí-Panareda et al. 10.5194/acp-23-3829-2023
16. The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback S. Kou-Giesbrecht et al. 10.5194/bg-21-3339-2024
17. Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles S. Kou-Giesbrecht et al. 10.5194/esd-14-767-2023
18. COCCON Measurements of XCO2, XCH4 and XCO over Coal Mine Aggregation Areas in Shanxi, China, and Comparison to TROPOMI and CAMS Datasets Q. Tu et al. 10.3390/rs16214022
19. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
20. XCO<sub>2</sub> estimates from the OCO-2 measurements using a neural network approach L. David et al. 10.5194/amt-14-117-2021
21. Global anthropogenic CO<sub>2</sub> emissions and uncertainties as a prior for Earth system modelling and data assimilation M. Choulga et al. 10.5194/essd-13-5311-2021
22. Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2019JD032029
23. The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections C. Seiler et al. 10.1029/2023MS003749
24. The Resolvable Scales of Regional‐Scale CO2 Transport in the Context of Imperfect Meteorology: The Predictability of CO2 in a Limited‐Area Model J. Kim et al. 10.1029/2021JD034896
25. A global fuel characteristic model and dataset for wildfire prediction J. McNorton & F. Di Giuseppe 10.5194/bg-21-279-2024
26. Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing A. Schuh et al. 10.1016/j.rse.2021.112473
27. Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion J. McNorton et al. 10.5194/acp-22-5961-2022
28. Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-22-9747-2022
29. The CO2 Human Emissions (CHE) Project: First Steps Towards a European Operational Capacity to Monitor Anthropogenic CO2 Emissions G. Balsamo et al. 10.3389/frsen.2021.707247
30. Regional CO2 Inversion Through Ensemble‐Based Simultaneous State and Parameter Estimation: TRACE Framework and Controlled Experiments H. Chen et al. 10.1029/2022MS003208
31. Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al. 10.1029/2022JD037915
32. Association Between the Incidence of Hospitalizations for Acute Cardiovascular Events, Weather, and Air Pollution J. Vishram-Nielsen et al. 10.1016/j.jacadv.2023.100334
33. Carbon Dioxide Distribution, Origins, and Transport Along a Frontal Boundary During Summer in Mid‐Latitudes A. Samaddar et al. 10.1029/2020JD033118
34. Representing model uncertainty for global atmospheric CO<sub>2</sub> flux inversions using ECMWF-IFS-46R1 J. McNorton et al. 10.5194/gmd-13-2297-2020
35. Development and evaluation of CO<sub>2</sub> transport in MPAS-A v6.3 T. Zheng et al. 10.5194/gmd-14-3037-2021
36. Development of the tangent linear and adjoint models of the global online chemical transport model MPAS-CO2 v7.3 T. Zheng et al. 10.5194/gmd-17-1543-2024
37. Shipborne measurements of XCO<sub>2</sub>, XCH<sub>4</sub>, and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI M. Knapp et al. 10.5194/essd-13-199-2021
38. China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
39. Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories T. Kaminski et al. 10.1088/1748-9326/ac3cea
40. In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
41. Widespread Frequent Methane Emissions From the Oil and Gas Industry in the Permian Basin J. Veefkind et al. 10.1029/2022JD037479
42. Carbon dioxide exchange in an idealized valley M. Reif et al. 10.1016/j.envsoft.2023.105887
43. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
44. Remote sensing and model analysis of biomass burning smoke transported across the Atlantic during the 2020 Western US wildfire season X. Ceamanos et al. 10.1038/s41598-023-39312-1
45. Examining CO2 Model Observation Residuals Using ACT‐America Data T. Gerken et al. 10.1029/2020JD034481
46. National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
47. Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models L. Zhang et al. 10.1029/2021JD035457
48. Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system V. Thilakan et al. 10.5194/acp-24-5315-2024
49. Assessment of WRF-CO2 simulated vertical profiles of CO2 over Delhi region using aircraft and global model data S. Ballav et al. 10.1007/s44273-024-00030-3