36 citations as recorded by crossref.

1. Inverse modelling of carbonyl sulfide: implementation, evaluation and implications for the global budget J. Ma et al. 10.5194/acp-21-3507-2021
2. Comparison of CH4 inversions based on 15 months of GOSAT and SCIAMACHY observations G. Monteil et al. 10.1002/2013JD019760
3. Near-term projection of anthropogenic emission trends using neural networks A. Balsamà et al. 10.1016/j.atmosenv.2014.02.046
4. Estimating emissions of methane consistent with atmospheric measurements of methane and δ13C of methane S. Basu et al. 10.5194/acp-22-15351-2022
5. On the wintertime low bias of Northern Hemisphere carbon monoxide found in global model simulations O. Stein et al. 10.5194/acp-14-9295-2014
6. Improving high resolution emission inventories with local proxies and urban eddy covariance flux measurements B. Gioli et al. 10.1016/j.atmosenv.2015.05.068
7. Simultaneous assimilation of satellite NO2, O3, CO, and HNO3 data for the analysis of tropospheric chemical composition and emissions K. Miyazaki et al. 10.5194/acp-12-9545-2012
8. What could have caused pre-industrial biomass burning emissions to exceed current rates? G. van der Werf et al. 10.5194/cp-9-289-2013
9. Toward the next generation of air quality monitoring: Ozone K. Bowman 10.1016/j.atmosenv.2013.07.007
10. EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012 G. Janssens-Maenhout et al. 10.5194/essd-11-959-2019
11. Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
12. Sensitivity of biomass burning emissions estimates to land surface information M. Saito et al. 10.5194/bg-19-2059-2022
13. New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes H. Worden et al. 10.5194/acp-19-13569-2019
14. Addressing underestimated carbon monoxide emissions in Taiwan using CMAQ and impacts on local ozone concentration C. Tsai et al. 10.1016/j.aeaoa.2025.100325
15. Global fire emissions estimates during 1997–2016 G. van der Werf et al. 10.5194/essd-9-697-2017
16. Effects of business-as-usual anthropogenic emissions on air quality A. Pozzer et al. 10.5194/acp-12-6915-2012
17. Model-simulated trend of surface carbon monoxide for the 2001–2010 decade J. Yoon & A. Pozzer 10.5194/acp-14-10465-2014
18. Satellite based analysis of fire–carbon monoxide relationships from forest and agricultural residue burning (2003–2011) K. Vadrevu et al. 10.1016/j.atmosenv.2012.09.055
19. The Impact of Uncertainties in African Biomass Burning Emission Estimates on Modeling Global Air Quality, Long Range Transport and Tropospheric Chemical Lifetimes J. Williams et al. 10.3390/atmos3010132
20. Separation of biospheric and fossil fuel fluxes of CO2 by atmospheric inversion of CO2 and 14CO2 measurements: Observation System Simulations S. Basu et al. 10.5194/acp-16-5665-2016
21. Evaluation of anthropogenic emissions of carbon monoxide in East Asia derived from the observations of atmospheric radon-222 over the western North Pacific A. Wada et al. 10.5194/acp-12-12119-2012
22. Implications of carbon monoxide bias for methane lifetime and atmospheric composition in chemistry climate models S. Strode et al. 10.5194/acp-15-11789-2015
23. Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. 10.1029/2017JD027881
24. Short-Term Forecast of the Carbon Monoxide Concentration Over the Moscow Region by COSMO-ART A. Revokatova et al. 10.1007/s00024-018-2001-z
25. A very limited role of tropospheric chlorine as a sink of the greenhouse gas methane S. Gromov et al. 10.5194/acp-18-9831-2018
26. Inversion of CO emissions over Beijing and its surrounding areas with ensemble Kalman filter X. Tang et al. 10.1016/j.atmosenv.2013.08.051
27. Technical Note: Temporal change in averaging kernels as a source of uncertainty in trend estimates of carbon monoxide retrieved from MOPITT J. Yoon et al. 10.5194/acp-13-11307-2013
28. Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. 10.5194/acp-15-5275-2015
29. A tropospheric chemistry reanalysis for the years 2005–2012 based on an assimilation of OMI, MLS, TES, and MOPITT satellite data K. Miyazaki et al. 10.5194/acp-15-8315-2015
30. Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO2 surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
31. Impact of model errors in convective transport on CO source estimates inferred from MOPITT CO retrievals Z. Jiang et al. 10.1002/jgrd.50216
32. Isotopic Composition of Gaseous Elemental Mercury in the Free Troposphere of the Pic du Midi Observatory, France X. Fu et al. 10.1021/acs.est.6b00033
33. Tropospheric carbon monoxide over the Pacific during HIPPO: two-way coupled simulation of GEOS-Chem and its multiple nested models Y. Yan et al. 10.5194/acp-14-12649-2014
34. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1) V. Huijnen et al. 10.5194/gmd-12-1725-2019
35. Modeling the concentration of pollutants using the WRF-ARW atmospheric model and CHIMERE chemistry transport model R. Zaripov et al. 10.3103/S1068373913120042
36. Direct top‐down estimates of biomass burning CO emissions using TES and MOPITT versus bottom‐up GFED inventory O. Pechony et al. 10.1002/jgrd.50624