16 citations as recorded by crossref.

1. Mesoscale convective systems and contributions to flood cases in Southern West Africa (SWA): A systematic review W. Atiah et al. https://doi.org/10.1016/j.wace.2023.100551
2. Estimating atmospheric motion winds from satellite image data using space‐time drift models I. Sahoo et al. https://doi.org/10.1002/env.2818
3. Linear Contrails Detection, Tracking and Matching with Aircraft Using Geostationary Satellite and Air Traffic Data R. Chevallier et al. https://doi.org/10.3390/aerospace10070578
4. Simulation of convective moistening of the extratropical lower stratosphere using a numerical weather prediction model Z. Qu et al. https://doi.org/10.5194/acp-20-2143-2020
5. Using persistent homology to quantify a diurnal cycle in hurricanes S. Tymochko et al. https://doi.org/10.1016/j.patrec.2020.02.022
6. The impacts of secondary ice production on microphysics and dynamics in tropical convection Z. Qu et al. https://doi.org/10.5194/acp-22-12287-2022
7. Sahel Rainfall–Tropical Easterly Jet Relationship on Synoptic to Intraseasonal Time Scales A. Lemburg et al. https://doi.org/10.1175/MWR-D-18-0254.1
8. Towards a Unified Setup to Simulate Mid‐Latitude and Tropical Mesoscale Convective Systems at Kilometer‐Scales A. Prein et al. https://doi.org/10.1029/2022EA002295
9. Neural style transfer between observed and simulated cloud images to improve the detection performance of tropical cyclone precursors D. Matsuoka & S. Easterbrook https://doi.org/10.1017/eds.2023.15
10. End-to-end data-driven weather prediction A. Allen et al. https://doi.org/10.1038/s41586-025-08897-0
11. Improved tropical deep convective cloud detection using MODIS observations with an active sensor trained machine learning algorithm K. Yang et al. https://doi.org/10.1016/j.rse.2023.113762
12. Influence of inner-core symmetry on tropical cyclone rapid intensification and its forecasting by a machine learning ensemble model J. Zhang et al. https://doi.org/10.1016/j.wace.2025.100770
13. A review of the global operational geostationary meteorological satellites R. Giri et al. https://doi.org/10.1016/j.rsase.2024.101403
14. Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones T. McNeely et al. https://doi.org/10.1175/JAMC-D-19-0286.1
15. Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation A. Higuchi https://doi.org/10.3390/rs13081553
16. CAPE Threshold for Lightning Over the Tropical Ocean W. Cheng et al. https://doi.org/10.1029/2021JD035621