Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications

no code implementations • 6 May 2020 • Imme Ebert-Uphoff, Kyle A. Hilburn

Neural networks have opened up many new opportunities to utilize remotely sensed images in meteorology.

General Classification Image Classification +2

Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations

no code implementations • 16 Apr 2020 • Kyle A. Hilburn, Imme Ebert-Uphoff, Steven D. Miller

Here, a convolutional neural network (CNN) is developed to transform GOES-R radiances and lightning into synthetic radar reflectivity fields to make use of existing radar assimilation techniques.