Hail Detection Using Dual Polarization Weather Radar

Author(s)/Creator(s)

Alfonso Ladino RinconFollow

Document Type

Poster

Language

English

Date

Summer 2020

Keywords

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

Description/Abstract

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.

Disciplines

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

Funder(s)

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

Funding ID

S-ECAGD-20-CA-0009

Recommended Citation

Ladino Rincon, Alfonso, "Hail Detection Using Dual Polarization Weather Radar" (2020). International Programs. 96.
https://surface.syr.edu/eli/96

Creative Commons 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.

Accessibility Notice

For an accessible version of this document, email request containing a link to this page to lib-accessibility@syr.edu.