Alfonso Ladino RinconFollow

Document Type





Summer 2020


Hydrometeor Classification Algorithms, hail detection, weather radar, dual polarimetric variables, fuzzy logic


This poster highlights how active remote sensors such as weather radar are completely useful for hail detection given its feature and the information they produce. Hail detection is already well studied by the atmospheric scientific community and dual polarimetric variables values for hail signature are presented according to those advances. Then, a supervised classification technique is showed to illustrated how machine learning can be integrated to radar information for automatic hail detection. However, this fuzzy logic algorithm has the capability to distinguish between meteorological and non-meteorological echoes. This automatic information might help forecasters from National Weather Services – NWS to issue early warnings about hail.


Atmospheric Sciences | Meteorology | Numerical Analysis and Scientific Computing | Signal Processing


Bureau of Education and Cultural Affairs (ECA) of the U.S. Department of State

Funding ID


Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Additional Information

This work has been created with support from the Institute of International Education (IIE)/Fulbright - English for Graduate Students Program.

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