Application of Convolutional Neural Networks to Climate Data Analysis

― From Tropical Cyclone Detection to Cloud Coverage Estimation ―

Abstract

With the advances in supercomputers and observation instruments, “Climate Big Data” including numerical simulation and observational data have been generated and accumulated. A convolutional neural network, which is one of deep neural networks used for image pattern recognition, is applied for analyzing climate big data. In the present manuscript, we introduce (i) detection of precursors of tropical cyclone from climate simulation data, (ii) classification of cloud type, and (iii) estimation of cloud coverage from cloud image and visualization image of simulation data.