Wind wave footprint of tropical cyclones from satellite data

Tropical cyclones are associated with extreme winds, waves, and storm surge, being among most destructive natural phenomena. Developing capability for a rapid impact estimate is crucial coastal applications risk preparedness. When predicting waves characteristics to tropical cyclones, the traditional approach involves two-step procedure (a) Holland-type wind vortex model (b) numerical simulations using wave generation model, buoy satellite measurements validation. In this work, we take advantage of increasing amount remote sensing observational data propose new empirical footprint cyclones. For purpose, construct dataset over million observations triggered by assuming circular shape TC influence area defining composites significant height as function representative parameters track like minimum pressure, its forward velocity, latitude. The validation against confirms usefulness first estimation footprint, although an underestimation events observed due relatively small number recorded. Due efficiency, can be applied estimations footprints in operational systems, reconstruction historical or synthetic assessments.