27 citations as recorded by crossref.

1. A Lagrangian analysis of pockets of open cells over the southeastern Pacific K. Smalley et al.
2. Factors controlling contrail cirrus optical depth B. Kärcher et al.
3. A new machine-learning based cloud mask using harmonized data of two Meteosat generations shows a general decrease in cloudiness over Europe in recent decades S. Gaurav et al.
4. Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks J. Strandgren et al.
5. Diurnal evolution of cloud base heights in convective cloud fields from MSG/SEVIRI data R. Meerkötter & L. Bugliaro
6. How well can brightness temperature differences of spaceborne imagers help to detect cloud phase? A sensitivity analysis regarding cloud phase and related cloud properties J. Mayer et al.
7. Ground-based observations for the validation of contrails and cirrus detection in satellite imagery H. Mannstein et al.
8. The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development D. Piontek et al.
9. An improved cirrus detection algorithm MeCiDA2 for SEVIRI and its evaluation with MODIS F. Ewald et al.
10. CHARACTERIZING CLOUD COVER AND SATELLITE REVISIT WITH CLOUD MASKS IN NORTH WEST ENGLAND E. Ogunbadewa
11. Validation of cloud property retrievals with simulated satellite radiances: a case study for SEVIRI L. Bugliaro et al.
12. Summertime Convective Initiation Nowcasting over Southeastern China Based on Advanced Himawari Imager Observations X. ZHUGE & X. ZOU
13. Determination of circumsolar radiation from Meteosat Second Generation B. Reinhardt et al.
14. Deep-Learning-Based Daytime COT Retrieval and Prediction Method Using FY4A AGRI Data F. Xu et al.
15. An automatic self-learning cloud-filtering algorithm for Meteosat Second Generation–Spinning Enhanced Visible and Infrared Imager P. Salvador et al.
16. The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al.
17. Retrieval of Cloud Optical Thickness During Nighttime from FY-4B AGRI Using a Convolutional Neural Network D. Xia et al.
18. A fast method for the retrieval of integrated longwave and shortwave top-of-atmosphere upwelling irradiances from MSG/SEVIRI (RRUMS) M. Vázquez-Navarro et al.
19. Artificial intelligence systems for rainy areas detection and convective cells' delineation for the south shore of Mediterranean Sea during day and nighttime using MSG satellite images M. Tebbi & B. Haddad
20. Rapidly Evolving Cirrus Clouds Modulated by Convectively Generated Gravity Waves A. Prasad et al.
21. Retrieval of cirrus cloud optical thickness and top altitude from geostationary remote sensing S. Kox et al.
22. Characterisation of the artificial neural network CiPS for cirrus cloud remote sensing with MSG/SEVIRI J. Strandgren et al.
23. A Parametric Radiative Forcing Model for Contrail Cirrus U. Schumann et al.
24. Estimation of Urban Air Temperature From a Rural Station Using Remotely Sensed Thermal Infrared Data F. Schuch et al.
25. Bayesian cloud-top phase determination for Meteosat Second Generation J. Mayer et al.
26. Comparison of Cloud Type Classification with Split Window Algorithm Based on Different Infrared Band Combinations of Himawari-8 Satellite B. Purbantoro et al.
27. Simulation of visible light at night from infrared measurements using deep learning technique J. Yan et al.