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In this study we present a new cyclone identification and trackingalgorithm, cycloTRACK. The algorithm describes an iterative process. At eachtime step it identifies all potential cyclone centers, defined as relativevorticity maxima embedded in smoothed enclosed contours of at least3 × 10<sup>−5</sup> s<sup>−1</sup> at the atmospheric level of 850 hPa. Next, the algorithmfinds all the potential cyclone paths by linking the cyclone centers atconsecutive time steps and selects the most probable track based on theminimization of a cost function. The cost function is based on the averagedifferences of relative vorticity between consecutive track points, weightedby their distance. Last, for each cyclone, the algorithm identifies "aneffective area" for which different physical diagnostics are measured, suchas the minimum sea level pressure and the maximum wind speed. The algorithmwas applied to the ERA-Interim reanalyses for tracking the NorthernHemisphere extratropical cyclones of winters from 1989 until 2009, and weassessed its sensitivity for the several free parameters used to perform thetracking

CycloTRACK (v1.0) – tracking winter extratropical cyclones based on relative vorticity: sensitivity to data filtering and other relevant parameters