Searching for an energy source of the intensification of tropical cyclone Katrina using microwave satellite sensing data

Abstract

The possibility of utilizing a specialized approach to the space-time interpolation of satellite data that takes the kinematics of multiscale processes into account in solving the problems of remote sensing of fast processes in the Earth’s atmosphere is considered. The approach is borrowed from the rapidly progressing disciplines of machine vision and video data compression. The main advantages of this method are its completeness with respect to the input (interpolated) satellite data, its capacity to estimate the kinematics of multiscale processes and take it into account, a relatively low computational cost, and the ease of its software-algorithmic implementation. The problem of an “instantaneous” source of hidden energy for the intensification of Tropical Cyclone (TC) Katrina is solved based on the developed software-algorithmic approach using data from the SSM/I satellite radiometers of the DMSP mission.