CloudSense: A Model for Cloud Type Identification using Machine Learning from Radar data

arXiv:2405.05988v1 Announce Type: cross
Abstract: The knowledge of type of precipitating cloud is crucial for radar based quantitative estimates of precipitation. We propose a novel model called CloudSense which uses machine learning to accurately identify the type of precipitating clouds over the complex terrain locations in the Western Ghats (WGs) of India. CloudSense uses vertical reflectivity profiles collected during July-August 2018 from an X-band radar to classify clouds into four categories namely stratiform,mixed stratiform-convective,convective and shallow clouds. The machine learning(ML) …

abstract arxiv cloud cs.lg data identification identify knowledge locations machine machine learning novel physics.ao-ph precipitation quantitative radar type