Abstract

We propose a new algorithm for the detection of weather fronts from
discrete weather data generated by weather forecasting software.
Given data for a snapshop in time, the algorithm detects cold and
warm fronts and draws them on a weather map. Given multiple time
frames, the algorithm creates a smooth animation of the weather fronts
as they travel. Detection of occluded fronts (formed when a fast-moving
cold front overtakes a warm front) is also treated.

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BibTeX (Download)

@techreport{HSS.2013,
title = {Automatic Detection of Weather Fronts},
author = {Meredith Hegg and Benjamin Seibold and Kirk M. Soodhalter},
year  = {2013},
date = {2013-01-01},
urldate = {2013-01-01},
abstract = {We propose a new algorithm for the detection of weather fronts from 
	discrete weather data generated by weather forecasting software. 
	Given data for a snapshop in time, the algorithm detects cold and 
	warm fronts and draws them on a weather map. Given multiple time 
	frames, the algorithm creates a smooth animation of the weather fronts 
	as they travel. Detection of occluded fronts (formed when a fast-moving 
	cold front overtakes a warm front) is also treated.},
keywords = {tech},
pubstate = {published},
tppubtype = {techreport}
}