11 citations as recorded by crossref.

1. Emulating aerosol optics with randomly generated neural networks A. Geiss et al. 10.5194/gmd-16-2355-2023
2. Toward Explainable and Transferable Deep Downscaling of Atmospheric Pollutants G. Ashiotis et al. 10.1109/LGRS.2023.3329710
3. Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al. 10.3390/rs16213963
4. Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation D. Lee et al. 10.1109/ACCESS.2024.3478782
5. A Nudge to the Truth: Atom Conservation as a Hard Constraint in Models of Atmospheric Composition Using a Species-Weighted Correction P. Sturm & S. Silva 10.1021/acsestair.4c00220
6. Daily high-resolution surface PM2.5 estimation over Europe by ML-based downscaling of the CAMS regional forecast S. Shetty et al. 10.1016/j.envres.2024.120363
7. Regression analysis of air pollution and pediatric respiratory diseases based on interpretable machine learning Y. Ji et al. 10.3389/feart.2023.1105140
8. Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning D. Han et al. 10.5194/gmd-16-5895-2023
9. POINT-BY-POINT AND COMPLEX QUALITY METRICS IN ATMOSPHERE AND OCEAN RESEARCH: REVIEW OF METHODS AND APPROACHES V. Rezvov et al. 10.29006/1564-2291.JOR-2024.52(4).10
10. Reconstructing long-term (1980–2022) daily ground particulate matter concentrations in India (LongPMInd) S. Wang et al. 10.5194/essd-16-3565-2024
11. Pointwise and Complex Quality Metrics in Atmospheric Modeling: Methods and Approaches V. Rezvov et al. 10.3103/S0027134924702229