2:15 PM - 2:30 PM
[ACG34-03] Beyond Warm and Cold: An Objective Classification for Maritime Mid-Latitude Fronts
Keywords:Fronts, Objective feature detection
To this end, we objectively detect three-dimensional front objects in the ERA-Interim data set, and classify them using an EOF analysis. In addition to the distinction between warm and cold fronts, the EOF analysis exposes several further dimensions of variability between front objects: (a) front intensity, (b) surface fluxes and (c) intensity of the associated conveyor belts. These additional dimensions of variability are robust, because they consistently make up the dominating patterns of variability between fronts in a large number of locations in the Atlantic, Pacific and Indian oceans. We also demonstrate the dynamical significance of the additional dimensions by lagged composites that illustrate the different temporal evolution for the different front types. Finally, we show that the additional front types can be redefined based on simple parameter thresholds, such that our results can easily be applied to other contexts without repeating the EOF analysis.