10 citations as recorded by crossref.

1. A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with MADE3 in EMAC C. Beer et al. 10.5194/acp-22-15887-2022
2. Spatiotemporal Analysis of NH3 Emission Sources and Their Relation to Land Use Types in the Eastern German Lowlands C. Saravia & K. Trachte 10.3390/atmos16030346
3. Aerosol classification by application of machine learning spectral clustering algorithm S. Ningombam et al. 10.1016/j.apr.2023.102026
4. Transport patterns of global aviation NOx and their short-term O3 radiative forcing – a machine learning approach J. Maruhashi et al. 10.5194/acp-22-14253-2022
5. Improvements on Gaussian mixture model and its application in identifying aerosol types in two major cities in the Yangtze River Delta, China J. Wang et al. 10.1016/j.scitotenv.2024.172743
6. Cloud detection from Himawari-8 spectral images using K-means++ clustering with the convolutional module K. Wang et al. 10.1080/01431161.2024.2305625
7. Methodology to modify and adapt the standardised spectral power distributions for daylight to account for geographical, seasonal and diurnal variations for practical applications M. Knoop et al. 10.1177/14771535251322386
8. Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations J. Li et al. 10.5194/acp-24-12727-2024
9. Composition and source based aerosol classification using machine learning algorithms S. Annapurna et al. 10.1016/j.asr.2023.09.068
10. Enhancing Fine Aerosol Simulations in the Remote Atmosphere with Machine Learning M. Lu & C. Gao 10.3390/atmos15111356