An Automated, Multi-parameter Dry line Detection Algorithm
The technique produced by this project automatically detects dry lines, a feature common to the US High Plains. Dry lines are a boundary between two air masses, one characterized by relatively warm and moist air, the other by relatively hot and dry air. This boundary is often an important feature in the initiation of storms, including those that develop into tornadic supercells. The algorithm identifies and tracks these moisture boundaries by examining multiple parameters while comparing potential dry line regions against similar meteorological features. Additionally, it attempts to account for the diurnal and seasonal variability of the dry line. Results and potential expansions of the technique are presented.