Regional and Mesoscale Meteorology Branch

Publications (Citation: followed by a short Summary)

Citation:

Haynes, K., Lagerquist, R., McGraw, M., Musgrave, K., & Ebert-Uphoff, I. (2023).  Creating and Evaluating Uncertainty Estimates with Neural Networks for Environmental-Science Applications, Artificial Intelligence for the Earth Systems, https://doi.org/10.1175/AIES-D-22-0061.1.

Summary:

We provide an accessible introduction to six uncertainty quantification approaches for neural networks, and we present evaluation scores and graphics that are useful in evaluating the resulting uncertainty estimates.  In addition to providing example code in Python Jupyter notebooks, we demonstrate these approaches and evaluation methods on two environmental-science tasks.