11 citations as recorded by crossref.

1. Emissions of Ozone-Layer-Depleting Methyl Chloroform (CH3CCl3) in China Inferred from High-Frequency In-Situ Observations S. Jin et al. 10.1021/acs.estlett.5c00776
2. Monitoring the impact of EU F-gas regulation on HFC-134a emissions through a comparison of top-down and bottom-up estimates S. Annadate et al. 10.1186/s12302-025-01081-1
3. FLEXPART version 11: improved accuracy, efficiency, and flexibility L. Bakels et al. 10.5194/gmd-17-7595-2024
4. A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al. 10.3390/rs17183152
5. Review of spatial scale dispersion models (ATDMs) to simulate environmental dispersion and deposition of radionuclides and the overview of GIS coupling with dispersion models H. Muhammad et al. 10.1016/j.jandt.2025.03.004
6. Sustained Increases in Hydrofluorocarbon Emissions from China and Implications for Global Emissions X. Hu et al. 10.1021/acs.est.4c08981
7. Emission estimates of ozone-depleting hydrochlorofluorocarbons for China inferred from new observations and inverse modeling Y. Chen et al. 10.1016/j.atmosenv.2025.121578
8. Impact of transport model resolution and a priori assumptions on inverse modeling of Swiss F-gas emissions I. Katharopoulos et al. 10.5194/acp-23-14159-2023
9. A global re-analysis of regionally resolved emissions and atmospheric mole fractions of SF6 for the period 2005–2021 M. Vojta et al. 10.5194/acp-24-12465-2024
10. A Sensitivity Study of a Bayesian Inversion Model Used to Estimate Emissions of Synthetic Greenhouse Gases at the European Scale S. Annadate et al. 10.3390/atmos15010051
11. Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires A. Brožová et al. 10.1016/j.jhazmat.2025.137510