Machine Learning in Numerical Weather and Climate Models

Abstract

In this paper major machine learning machine learning tools and the most important applications developed elsewhere for numerical weather and climate modeling systems. Numerical weather and climate modeling systems are briefly introduced. The most important papers published in this field during recent years are reviewed. Advantages and limitations of the machine learning approach in applications to numerical weather and climate modeling system are briefly discussed. Currently, this field experiences an explosive growth. Several important papers are published every week. Thus, this paper should be considered as a simple introduction into the problem.