2 papers
math.NA2026
Sampling Distributions as Regularization in Learned Inverse Problems
Sandra R. Babyale, Jodi Mead
Neural networks have emerged as effective tools for solving ill-posed inverse problems. In many scientific applications, however, observational training data are insufficient, and…
stat.ME2025
Model Error Covariance Estimation for Weak Constraint Data Assimilation
Sandra R. Babyale, Jodi Mead, Donna Calhoun +1
State estimates from weak constraint 4D-Var data assimilation can vary significantly depending on the data and model error covariances. As a result, the accuracy of these estimates…