An adaptive tracking algorithm for convection in simulated and remote sensing data
A robust and computationally efficient object tracking algorithm is developed by
incorporating various tracking techniques. Physical properties of the objects, such as …
incorporating various tracking techniques. Physical properties of the objects, such as …
[HTML][HTML] Optimizing cloud motion estimation on the edge with phase correlation and optical flow
Phase correlation (PC) is a well-known method for estimating cloud motion vectors (CMVs)
from infrared and visible spectrum images. Commonly, phase shift is computed in the small …
from infrared and visible spectrum images. Commonly, phase shift is computed in the small …
Lightning flash rate nowcasting based on polarimetric radar data and machine learning
Y Shrestha, Y Zhang, R Doviak… - International Journal of …, 2021 - Taylor & Francis
This study investigates the prediction of lightning flash rates using a ground-based, S-band
polarimetric weather radar and storm cell-based lightning prediction. Both short-term cases …
polarimetric weather radar and storm cell-based lightning prediction. Both short-term cases …
Python-based supercell tracking for coarse temporal and spatial resolution numerical model simulations
ME Gropp, CE Davenport - Journal of Atmospheric and …, 2021 - journals.ametsoc.org
Deep convective thunderstorm tracking methodologies and software have become useful
and necessary tools across many applications, from nowcasting to model verification …
and necessary tools across many applications, from nowcasting to model verification …
[引用][C] Application of Machine Learning to Multiple Radar Missions and Operations
Y Shrestha - 2022