20 citations as recorded by crossref.

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2. Forecasting hailfall using parameters for convective cells identified by radar T. Rigo & M. Carmen Llasat 10.1016/j.atmosres.2015.10.021
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4. On the Detection of Hail Using Satellite Passive Microwave Radiometers and Precipitation Radar X. Ni et al. 10.1175/JAMC-D-17-0065.1
5. Hailfalls in southwest Europe: EOF analysis for identifying synoptic pattern and their trends A. Merino et al. 10.1016/j.atmosres.2018.08.006
6. Hailstorm Detection by Satellite Microwave Radiometers S. Laviola et al. 10.3390/rs12040621
7. Hail observations and hailstorm characteristics in Europe: A review H. Punge & M. Kunz 10.1016/j.atmosres.2016.02.012
8. A Poisson regression approach to model monthly hail occurrence in Northern Switzerland using large-scale environmental variables E. Madonna et al. 10.1016/j.atmosres.2017.11.024
9. A New Method for Hail Detection from the GPM Constellation: A Prospect for a Global Hailstorm Climatology S. Laviola et al. 10.3390/rs12213553
10. Prediction of Rain Occurrence and Accumulation Using Multifrequency Radiometric Observations A. Maitra & R. Chakraborty 10.1109/TGRS.2017.2783848
11. Triggering and evolution of a deep convective system in the Mediterranean Sea: modelling and observations at a very fine scale E. Fiori et al. 10.1002/qj.2977
12. Deep feature extraction and its application for hailstorm detection in a large collection of radar images I. Gurung et al. 10.1007/s11760-018-1380-z
13. Spatial and temporal variability of hail falls and estimation of maximum diameter from meteorological variables J. Marcos et al. 10.1016/j.atmosres.2020.105142
14. Prediction of convective events using multi-frequency radiometric observations at Kolkata R. Chakraborty et al. 10.1016/j.atmosres.2015.09.024
15. Estimation of Maximum Hail Diameters from FY-4A Satellite Data with a Machine Learning Method Q. Wu et al. 10.3390/rs14010073
16. Satellite remote sensing of hailstorms in France P. Melcón et al. 10.1016/j.atmosres.2016.08.001
17. Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data J. Mecikalski et al. 10.1175/JAMC-D-14-0129.1
18. Understanding Hail in the Earth System J. Allen et al. 10.1029/2019RG000665
19. Climatology of destructive hailstorms in Brazil J. Martins et al. 10.1016/j.atmosres.2016.10.012
20. Applying Deep Learning to Hail Detection: A Case Study M. Pullman et al. 10.1109/TGRS.2019.2931944