Assessing sensitivities in algorithmic detection of tropical cyclones in climate data

MM demonstrates the ability to screen for input parameters defining TCs (such as minimum intensity and lifetime) that contribute significantly to sensitivity in output metrics (such as storm count). The SA is performed by tracking TCs in four different reanalyses.

Tracked TC trajectories are compared to a pointwise observational record. Results show that using thermally integrated metrics for isolating TC warm cores is superior to single-temperature levels. Input thresholds defining TC vortex strength during tracking contribute the most variance in all output metrics.