Ensemble Data Assimilation Simulation Experiments for the Coastal Ocean: Impact of Different Observed Variables. - Ross N. Hoffman; Rui M. Ponte; Eric J. Kostelich; Alan Blumberg; Istvan Szunyogh; Sergey V. Vinogradov (IGARSS (5), 2008)

Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems. - Alexander Wikner; Jaideep Pathak; Brian R. Hunt; Michelle Girvan; Troy Arcomano; Istvan Szunyogh; Andrew Pomerance; Edward Ott (CoRR, 2020)

Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components. - Alexander Wikner; Jaideep Pathak; Brian R. Hunt; Istvan Szunyogh; Michelle Girvan; Edward Ott (CoRR, 2021)

Exploring the Potential of Hybrid Machine-Learning/Physics-Based Modeling for Atmospheric/Oceanic Prediction Beyond the Medium Range. - Dhruvit Patel; Troy Arcomano; Brian R. Hunt; Istvan Szunyogh; Edward Ott (CoRR, 2024)