A Deep Learning Approach to Radar-based QPE

arXiv:2402.09846v1 Announce Type: cross
Abstract: In this study, we propose a volume-to-point framework for quantitative precipitation estimation (QPE) based on the Quantitative Precipitation Estimation and Segregation Using Multiple Sensor (QPESUMS) Mosaic Radar data set. With a data volume consisting of the time series of gridded radar reflectivities over the Taiwan area, we used machine learning algorithms to establish a statistical model for QPE in weather stations. The model extracts spatial and temporal features from the input data volume and then …

abstract arxiv cs.lg data data set deep learning framework mosaic multiple physics.ao-ph precipitation quantitative radar segregation sensor series set study taiwan time series type