26 citations as recorded by crossref.

1. Correlations of Multispectral Infrared Indicators and Applications in the Analysis of Developing Convective Clouds Q. Wu et al. https://doi.org/10.1175/JAMC-D-15-0081.1
2. Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data J. Mecikalski et al. https://doi.org/10.1175/JAMC-D-14-0129.1
3. Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al. https://doi.org/10.3390/rs70709184
4. A New Convective Initiation Definition and Its Characteristics in Central and Eastern China Based on Fengyun-4A Satellite Cloud Imagery L. Peng et al. https://doi.org/10.3390/rs17244053
5. Evaluating turbulent and microphysical schemes in ICON for deep convection over the Alps: a case study of vertical transport and model–observation comparison H. Alladi et al. https://doi.org/10.5194/acp-26-8617-2026
6. A simplified method for the detection of convection using high-resolution imagery from GOES-16 Y. Lee et al. https://doi.org/10.5194/amt-14-3755-2021
7. Summertime Convective Initiation Nowcasting over Southeastern China Based on Advanced Himawari Imager Observations X. ZHUGE & X. ZOU https://doi.org/10.2151/jmsj.2018-041
8. Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al. https://doi.org/10.3390/rs10101549
9. Convective Cloud Detection and Tracking Using the New-Generation Geostationary Satellite Over South China Y. Yang et al. https://doi.org/10.1109/TGRS.2023.3298976
10. Analysis of convective cell evolution with split and merge events using a graph-based methodology J. Ritvanen et al. https://doi.org/10.5194/amt-19-1853-2026
11. Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data S. Lee et al. https://doi.org/10.5194/amt-10-1859-2017
12. A Novel Approach for the Detection of Developing Thunderstorm Cells R. Müller et al. https://doi.org/10.3390/rs11040443
13. Severe Thunderstorm Detection by Visual Learning Using Satellite Images Y. Zhang et al. https://doi.org/10.1109/TGRS.2016.2618929
14. A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data D. Han et al. https://doi.org/10.3390/rs11121454
15. Characterization of Initiation and Growth of Selected Severe Convective Storms over Central Europe with MSG-SEVIRI F. Senf et al. https://doi.org/10.1175/JAMC-D-14-0144.1
16. Study of Mesoscale Cloud System Oscillations Capable of Producing Convective Gravity Waves S. Kolios https://doi.org/10.3390/cli6020025
17. Hybrid Physical Segmentation and Machine Learning Approach for Deep Convective Cloud Detection With Himawari-8 B. Liu et al. https://doi.org/10.1109/TGRS.2026.3656118
18. Evaluation of geostationary satellite observations and the development of a 1–2 h prediction model for future storm intensity J. Mecikalski et al. https://doi.org/10.1002/2016JD024768
19. Satellite-Based Characterization of Convective Growth and Glaciation and Its Relationship to Precipitation Formation over Central Europe F. Senf & H. Deneke https://doi.org/10.1175/JAMC-D-16-0293.1
20. Cloud and DNI nowcasting with MSG/SEVIRI for the optimized operation of concentrating solar power plants T. Sirch et al. https://doi.org/10.5194/amt-10-409-2017
21. Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor https://doi.org/10.1007/s00024-018-1821-1
22. Prediction of convective clouds formation using evolutionary neural computation techniques D. Guijo-Rubio et al. https://doi.org/10.1007/s00521-020-04795-w
23. Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. https://doi.org/10.5194/amt-14-5107-2021
24. Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan D. Gallucci et al. https://doi.org/10.3390/rs12162562
25. GF-4 high-resolution texture and FY-4A multispectral data fusion: Two case studies for enhancing early convective cloud detection Y. Gao et al. https://doi.org/10.1016/j.aosl.2024.100551
26. Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain C. Hoyos et al. https://doi.org/10.5194/nhess-19-2635-2019