MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information

arXiv:2404.17186v1 Announce Type: cross
Abstract: The accurate detection of Mesoscale Convective Systems (MCS) is crucial for meteorological monitoring due to their potential to cause significant destruction through severe weather phenomena such as hail, thunderstorms, and heavy rainfall. However, the existing methods for MCS detection mostly targets on single-frame detection, which just considers the static characteristics and ignores the temporal evolution in the life cycle of MCS. In this paper, we propose a novel encoder-decoder neural network for MCS detection(MCSDNet). MCSDNet …

abstract arxiv cs.ai cs.cv cs.lg destruction detection however information monitoring network rainfall scale systems targets through type via weather