63 citations as recorded by crossref.

1. A Cloud Top-Height Retrieval Algorithm Using Simultaneous Observations from the Himawari-8 and FY-2E Satellites J. Lee et al. https://doi.org/10.3390/rs12121953
2. A Review of Ice Cloud Optical Property Models for Passive Satellite Remote Sensing P. Yang et al. https://doi.org/10.3390/atmos9120499
3. The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach G. McGarragh et al. https://doi.org/10.5194/amt-11-3397-2018
4. Thunderstorms without tropopause penetration in Central Africa produce cloud-top jet events A. Nambalirwa et al. https://doi.org/10.1016/j.aosl.2025.100730
5. Uncertainties in cloud phase and optical thickness retrievals from the Earth Polychromatic Imaging Camera (EPIC) K. Meyer et al. https://doi.org/10.5194/amt-9-1785-2016
6. Cloud processing and weeklong ageing affect biomass burning aerosol properties over the south-eastern Atlantic H. Che et al. https://doi.org/10.1038/s43247-022-00517-3
7. Cloud Occlusion Probability Calculation Jointly Using Himawari-8 and CloudSat Satellite Data X. Chen et al. https://doi.org/10.3390/atmos13111754
8. A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing Q. Liu et al. https://doi.org/10.3390/rs17061036
9. The CHIMAERA system for retrievals of cloud top, optical and microphysical properties from imaging sensors G. Wind et al. https://doi.org/10.1016/j.cageo.2021.104710
10. Telling twins apart: exo-Earths and Venuses with transit spectroscopy J. Barstow et al. https://doi.org/10.1093/mnras/stw489
11. Exploiting the sensitivity of two satellite cloud height retrievals to cloud vertical distribution C. Carbajal Henken et al. https://doi.org/10.5194/amt-8-3419-2015
12. Comparison of SEVIRI-Derived Cloud Occurrence Frequency and Cloud-Top Height with A-Train Data C. Chung et al. https://doi.org/10.3390/rs9010024
13. Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks J. Strandgren et al. https://doi.org/10.5194/amt-10-3547-2017
14. Quality Estimates of INSAT-3D Derived Cloud Top Temperature for Climate Data Record C. Lima et al. https://doi.org/10.1109/TGRS.2020.3022680
15. GVCCS: a dataset for contrail identification and tracking on visible whole sky camera sequences G. Jarry et al. https://doi.org/10.5194/essd-18-1037-2026
16. Probing atmospheric turbulence with VLBI residuals: when theory meets observations G. Kermarrec & M. Schartner https://doi.org/10.1186/s40623-026-02478-9
17. The Change of Cloud Base Height Over East Asia During 2010–2019 Y. Tian et al. https://doi.org/10.1109/JSTARS.2025.3632335
18. The Community Cloud retrieval for CLimate (CC4CL) – Part 1: A framework applied to multiple satellite imaging sensors O. Sus et al. https://doi.org/10.5194/amt-11-3373-2018
19. Assessment of FY-4A and Himawari-8 Cloud Top Height Retrieval through Comparison with Ground-Based Millimeter Radar at Sites in Tibet and Beijing B. Liu et al. https://doi.org/10.1007/s00376-021-0337-2
20. Satellite-based high-resolution mapping of rainfall over southern Africa H. Meyer et al. https://doi.org/10.5194/amt-10-2009-2017
21. Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data H. Shang et al. https://doi.org/10.1038/s41598-018-19431-w
22. Observation of absorbing aerosols above clouds over the south-east Atlantic Ocean from the geostationary satellite SEVIRI – Part 2: Comparison with MODIS and aircraft measurements from the CLARIFY-2017 field campaign F. Peers et al. https://doi.org/10.5194/acp-21-3235-2021
23. Contrasting changes in cloud optical properties and the influence of aerosols, meteorology and radiation feedback in the Himalaya Karakoram region M. Iftikhar et al. https://doi.org/10.1016/j.atmosres.2020.105210
24. Contrail altitude estimation using GOES-16 ABI data and deep learning V. Meijer et al. https://doi.org/10.5194/amt-17-6145-2024
25. Cloud Cover over the Sahara during the Summer and Associated Circulation Features N. Selami et al. https://doi.org/10.3390/atmos12040428
26. First Release of the Optimal Cloud Analysis Climate Data Record from the EUMETSAT SEVIRI Measurements 2004–2019 A. Bozzo et al. https://doi.org/10.3390/rs16162989
27. The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products S. Platnick et al. https://doi.org/10.3390/rs13010002
28. Marine boundary layer cloud property retrievals from high-resolution ASTER observations: case studies and comparison with Terra MODIS F. Werner et al. https://doi.org/10.5194/amt-9-5869-2016
29. Ultra-short-term photovoltaic power prediction based on ground-based cloud images: A review C. Shi et al. https://doi.org/10.1016/j.apenergy.2025.126943
30. Observation of absorbing aerosols above clouds over the south-east Atlantic Ocean from the geostationary satellite SEVIRI – Part 1: Method description and sensitivity F. Peers et al. https://doi.org/10.5194/acp-19-9595-2019
31. Use of spectral cloud emissivities and their related uncertainties to infer ice cloud boundaries: methodology and assessment using CALIPSO cloud products H. Kim et al. https://doi.org/10.5194/amt-12-5039-2019
32. Comparison of the cloud top heights retrieved from MODIS and AHI satellite data with ground-based Ka-band radar J. Huo et al. https://doi.org/10.5194/amt-13-1-2020
33. On the Scattering-Angle Dependence of the Spectral Consistency of Ice Cloud Optical Thickness Retrievals Based on Geostationary Satellite Observations D. Li et al. https://doi.org/10.1109/TGRS.2023.3331970
34. Cloud heights retrieval from passive satellite measurements using lapse rate information W. Zhang et al. https://doi.org/10.1016/j.rse.2025.114622
35. Mid-level clouds are frequent above the southeast Atlantic stratocumulus clouds A. Adebiyi et al. https://doi.org/10.5194/acp-20-11025-2020
36. Eruption chronology of the December 2021 to January 2022 Hunga Tonga-Hunga Ha’apai eruption sequence A. Gupta et al. https://doi.org/10.1038/s43247-022-00606-3
37. The Role of NWP Filter for the Satellite Based Detection of Cumulonimbus Clouds R. Müller et al. https://doi.org/10.3390/rs10030386
38. NWCSAF High Resolution Winds (NWC/GEO-HRW) Stand-Alone Software for Calculation of Atmospheric Motion Vectors and Trajectories J. García-Pereda et al. https://doi.org/10.3390/rs11172032
39. Neural network cloud top pressure and height for MODIS N. Håkansson et al. https://doi.org/10.5194/amt-11-3177-2018
40. Evaluation of ALADIN NWP model forecasts by IR10.8 μm and WV06.2 μm brightness temperatures measured by the geostationary satellite Meteosat Second Generation Z. Sokol et al. https://doi.org/10.1016/j.atmosres.2021.105920
41. Clouds over the summertime Sahara: an evaluation of Met Office retrievals from Meteosat Second Generation using airborne remote sensing J. Kealy et al. https://doi.org/10.5194/acp-17-5789-2017
42. Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. https://doi.org/10.3390/rs11232811
43. Evaluating the diurnal cycle in cloud top temperature from SEVIRI S. Taylor et al. https://doi.org/10.5194/acp-17-7035-2017
44. A Hybrid Approach for Fog Retrieval Based on a Combination of Satellite and Ground Truth Data S. Egli et al. https://doi.org/10.3390/rs10040628
45. Short-term solar radiation forecasting by advecting and diffusing MSG cloud index C. Arbizu-Barrena et al. https://doi.org/10.1016/j.solener.2017.07.045
46. Cloud height measurement by a network of all-sky imagers N. Blum et al. https://doi.org/10.5194/amt-14-5199-2021
47. FAME-C: cloud property retrieval using synergistic AATSR and MERIS observations C. Carbajal Henken et al. https://doi.org/10.5194/amt-7-3873-2014
48. Convective sources of trajectories traversing the tropical tropopause layer A. Tissier & B. Legras https://doi.org/10.5194/acp-16-3383-2016
49. Cloud optical and physical properties retrieval from EarthCARE multi-spectral imager: the M-COP products A. Hünerbein et al. https://doi.org/10.5194/amt-17-261-2024
50. The structure of turbulence and mixed-phase cloud microphysics in a highly supercooled altocumulus cloud P. Barrett et al. https://doi.org/10.5194/acp-20-1921-2020
51. Thunderstorm Nowcasting With Deep Learning: A Multi‐Hazard Data Fusion Model J. Leinonen et al. https://doi.org/10.1029/2022GL101626
52. Cloud mask algorithm from the EarthCARE Multi-Spectral Imager: the M-CM products A. Hünerbein et al. https://doi.org/10.5194/amt-16-2821-2023
53. A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment F. Rodríguez-Benítez et al. https://doi.org/10.1016/j.solener.2019.11.028
54. A lightweight holographic imager for cloud microphysical studies from an untethered balloon T. Chambers et al. https://doi.org/10.5194/amt-17-3237-2024
55. Evaluation of SCIAMACHY ESA/DLR Cloud Parameters Version 5.02 by Comparisons to Ground-Based and Other Satellite Data L. Lelli et al. https://doi.org/10.3389/fenvs.2016.00043
56. Evaluation of a moist-adiabat cloud-top height retrieval for parallax correction of deep convective clouds across Meteosat generations A. Kotarba https://doi.org/10.5194/amt-19-6193-2026
57. Net Cloud Thinning, Low-Level Cloud Diminishment, and Hadley Circulation Weakening of Precipitating Clouds with Tropical West Pacific SST Using MISR and Other Satellite and Reanalysis Data T. Kubar & J. Jiang https://doi.org/10.3390/rs11101250
58. Machine learning-based retrieval of day and night cloud macrophysical parameters over East Asia using Himawari-8 data Y. Yang et al. https://doi.org/10.1016/j.rse.2022.112971
59. Algorithm for Improved Stereoscopic Cloud-Top Height Retrieval Based on Visible and Infrared Bands for Himawari-8 and FY-4A J. Lee & D. Shin https://doi.org/10.3390/rs13244993
60. LightGBM-Based Bias Correction of ERA5 Upper-Tropospheric Temperature Profiles and Its Differential Impacts on Cloud-Top-Height Retrievals Over East Asia Y. Xu et al. https://doi.org/10.1109/TGRS.2026.3737309
61. The CHIMAERA system for retrievals of cloud top, optical and microphysical properties from imaging sensors G. Wind et al. https://doi.org/10.1016/j.cageo.2019.104345
62. Lessons Learned from the Updated GEWEX Cloud Assessment Database C. Stubenrauch et al. https://doi.org/10.1007/s10712-024-09824-0
63. Cloud height mapping using multi simultaneous sky images from an all-sky camera network C. Herrero del Barrio et al. https://doi.org/10.5194/amt-19-5785-2026