11 citations as recorded by crossref.

1. An Algorithm for Identifying Pollution Sources with Non-Linear Measurement Operators A. Penenko et al. https://doi.org/10.1134/S1024856025701003
2. Effects of fuel types and fire severity on atmospheric pollutant emissions in an extreme wind-driven wildfire A. Alvarez et al. https://doi.org/10.1007/s11676-026-01988-2
3. Global CO emissions and drivers of atmospheric CO trends constrained by MOPITT satellite measurements Z. Tang et al. https://doi.org/10.5194/acp-26-5531-2026
4. Improved determination of atmospheric trace gas emissions through observation-based analysis techniques: The AMIGO global initiative G. Oomen et al. https://doi.org/10.1525/elementa.2025.00092
5. 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
6. OMI-Derived Mass- and Number-Conserved Estimation of Black Carbon Emissions J. Liu et al. https://doi.org/10.1021/acs.estlett.5c00340
7. Improving the ensemble square root filter (EnSRF) in the Community Inversion Framework: a case study with ICON-ART 2024.01 J. Thanwerdas et al. https://doi.org/10.5194/gmd-18-1505-2025
8. Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-25-6047-2025
9. Modelling the spatial patterns and recent trends of multiple air pollutants in Romania based on long-term gridded EMEP data M. Nica et al. https://doi.org/10.1016/j.envpol.2026.128632
10. Using a System of Models of Various Complexity in Inverse Modeling of the Pollutant Transport and Transformation in the Atmosphere A. Penenko et al. https://doi.org/10.3103/S1068373925060044
11. Methodology for selecting near-surface CH4, CO, and CO2 observations reflecting atmospheric background conditions at the WMO/GAW station in Lamezia Terme, Italy L. Malacaria et al. https://doi.org/10.1016/j.apr.2025.102515