Výsledky vyhledávání - "Cho, John Y. N."

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A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data

Autor: Veillette, Mark S., Kurdzo, James M., Stepanian, Phillip M., Cho, John Y. N., Samsi, Siddharth, McDonald, Joseph

Weather radar is the primary tool used by forecasters to detect and warn for tornadoes in near-real time. In order to assist forecasters in warning the public, several algorithms have been developed to automatically detect tornadic signatures in weat

Externí odkaz: http://arxiv.org/abs/2401.16437

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Extended Polarimetric Observations of Chaff using the WSR-88D Weather Radar Network

Autor: Kurdzo, James M., Bennett, Betty J., Cho, John Y. N., Donovan, Michael F.

Military chaff is a metallic, fibrous radar countermeasure that is released by aircraft and rockets for diversion and masking of targets. It is often released across the United States for training purposes, and, due to its resonant cut lengths, is of

Externí odkaz: http://arxiv.org/abs/2211.16417

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A Deep Learning-based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product Generator

Autor: Veillette, Mark S., Kurdzo, James M., Stepanian, Phillip M., McDonald, Joseph, Samsi, Siddharth, Cho, John Y. N.

Radial velocity estimates provided by Doppler weather radar are critical measurements used by operational forecasters for the detection and monitoring of life-impacting storms. The sampling methods used to produce these measurements are inherently su

Externí odkaz: http://arxiv.org/abs/2211.13181

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