All Climate Events

Wednesday, April 1, 2020. 11:30AM. Webinar: Introduction to Machine Learning Applications for Numerical Weather Prediction Systems. Vladimir Krasnopolsky, NWS. Sponsored by STAR Science Seminar Series. More information here. 

This introductory talk provides basic information about mostly used machine learning (ML) techniques and some ML applications developed to enhance different components of Numerical Weather Prediction (NWP) systems. Basic groups of ML applications that have been already developed for NWP systems are overviewed.Major challenges that NWP currently faces are discussed. It is shown that many of these problems can be resolved or alleviated using ML techniques. ML applications developed for NWP model initialization/data assimilation, model improvements, and model output post processing are discussed. Several examples of such application (ML satellite retrieval algorithm, ML fast parameterizations of subgrid processes, and ML nonlinear ensembles) are introduced to illustrate the capabilities of ML techniques. Advantages and limitations of ML techniques are discussed.