<h1>Dunbar, Oliver</h1> <h2>Combined from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2> <ul> <li>Christopoulos, Costa and Lopez‐Gomez, Ignacio, el al. (2024) <a href="https://authors.library.caltech.edu/records/2x0kp-pkz30">Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization</a>; Journal of Advances in Modeling Earth System (JAMES); Vol. 16; No. 11; e2024MS004485; <a href="https://doi.org/10.1029/2024ms004485">10.1029/2024ms004485</a></li> <li>Dunbar, Oliver R. A. and Howland, Michael F., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220926-576391900.2">Ensemble-Based Experimental Design for Targeting Data Acquisition to Inform Climate Models</a>; Journal of Advances in Modeling Earth Systems; Vol. 14; No. 9; Art. No. e2022MS002997; <a href="https://doi.org/10.1029/2022ms002997">10.1029/2022ms002997</a></li> <li>Lopez-Gomez, Ignacio and Christopoulos, Costa, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220810-402975000">Training physics‐based machine‐learning parameterizations with gradient‐free ensemble Kalman methods</a>; Journal of Advances in Modeling Earth Systems; Art. No. e2022MS003105; <a href="https://doi.org/10.1029/2022ms003105">10.1029/2022ms003105</a></li> <li>Bieli, Melanie and Dunbar, Oliver R. A., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220815-504980000">An Efficient Bayesian Approach to Learning Droplet Collision Kernels: Proof of Concept Using "Cloudy," a New n-Moment Bulk Microphysics Scheme</a>; Journal of Advances in Modeling Earth Systems; Vol. 14; No. 8; Art. No. e2022MS002994; <a href="https://doi.org/10.1029/2022ms002994">10.1029/2022ms002994</a></li> <li>Schneider, Tapio and Dunbar, Oliver R. A., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220325-220336231">Epidemic management and control through risk-dependent individual contact interventions</a>; PLoS Computational Biology; Vol. 18; No. 6; Art. No. e1010171; PMCID PMC9223336; <a href="https://doi.org/10.1371/journal.pcbi.1010171">10.1371/journal.pcbi.1010171</a></li> <li>Dunbar, Oliver R. A. and Duncan, Andrew B., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210412-121307581">Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods</a>; SIAM Journal on Applied Dynamical Systems; Vol. 21; No. 2; 1539-1572; <a href="https://doi.org/10.1137/21M1410853">10.1137/21M1410853</a></li> <li>Lopez-Gomez, Ignacio and Christopoulos, Costa, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220331-531674000">Training physics-based machine-learning parameterizations with gradient-free ensemble Kalman methods</a>; <a href="https://doi.org/10.1002/essoar.10510937.2">10.1002/essoar.10510937.2</a></li> <li>Howland, Michael F. and Dunbar, Oliver R. A., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210823-173258629">Parameter Uncertainty Quantification in an Idealized GCM With a Seasonal Cycle</a>; Journal of Advances in Modelling Earth Systems; Vol. 14; No. 3; Art. No. e2021MS002735; <a href="https://doi.org/10.1029/2021MS002735">10.1029/2021MS002735</a></li> <li>Bieli, Melanie and Dunbar, Oliver R. A., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220207-89642000">An efficient Bayesian approach to learning droplet collision kernels: Proof of concept using "Cloudy", a new n-moment bulk microphysics scheme</a>; <a href="https://doi.org/10.1002/essoar.10510248.1">10.1002/essoar.10510248.1</a></li> <li>Dunbar, Oliver R. A. and Howland, Michael F., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220119-572479000">Ensemble-Based Experimental Design for Targeted High-Resolution Simulations to Inform Climate Models</a>; <a href="https://doi.org/10.1002/essoar.10510142.1">10.1002/essoar.10510142.1</a></li> <li>Dunbar, Oliver R. A. and Garbuno-Inigo, Alfredo, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210113-143919927">Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM</a>; Journal of Advances in Modelling Earth Systems; Vol. 13; No. 9; Art. No. e2020MS002454; <a href="https://doi.org/10.1029/2020MS002454">10.1029/2020MS002454</a></li> </ul>