Simulation Study of a Probabilistic Measurement Terminator for Cloud Radar Systems using Cloudsat Data

Jakob Delong, Missouri University of Science and Technology
Joel T. Johnson

National Aeronautics and Space Administration, Grant 80NSSC17K0246

Abstract

This paper presents a novel probabilistic method that is used to identify low-SNR measurements in a cloud profiling radar application and terminate them before completion to save resources. The method uses a statistical model to predict the final SNR level of a measurement in progress and terminate it if it falls below a specified threshold at a specified level of confidence. The method is applied in a simulation study in which radar backscattered power profiles are obtained from CloudSat radar data, and is shown to achieve favorable performance.