Archive: Submitted/in press

Gjini, R., Morzfeld, M., Dunbar, O.R.A, Schneider, T., 2025: The ensemble Kalman inversion race. Journal of Advances in Modeling Earth Systems, submitted. Download PDF

Souza, A. N., Silvestri, S., Deck, K., Bischoff, T., Ferrari, R., & Flierl, G. R. (2025). Surface to seafloor: A generative AI framework for decoding

Kaveh. H., Dunbar, O.R.A., Avouac, J.P., Stuart, A.M., 2026: Bayesian calibration of dynamic models of earthquake sequences using observations from past large earthquakes. Journal of

Bouillon, A., Dunbar, O.R.A., 2026: Likelihood-informed dimension reduction across tempered Bayesian posteriors. Inverse Problems, submitted. Download PDF

Charbonneau, A., Deck, K., Schneider, T., 2026: A next-generation snow albedo parameterization for climate modeling using constrained machine learning. Journal of Geophysical Research: Machine Learning

Gjini, R., Morzfeld, M., Dunbar, O.R.A, Schneider, T., 2025: The Ensemble Kalman Inversion race. Journal of Advances in Modeling Earth Systems, submitted. [PDF]

Patel, R.N., Schneider, T., 2025: When climate datasets are too short: a practical guide for bias and uncertainty in determining the probability of rare events

Schlutow, M., Chew, R., Göckede, M., 2025: The Boundary Layer Dispersion and Footprint Model: A fast numerical solver of the Eulerian steady-state advection-diffusion equation. Geoscientific

Bonan, D., Schneider, T., 2025: Estimating the maximum mean precipitation in hothouse climates. Journal of Climate, in review. [PDF]

Deck, K., Braghiere, R. K., Renchon, A. A., Sloan, J., Bozzola, G., Speer, E., Mackay, B., Reddy, T., Phan, K., Gagne-Landmann, A. L., Yatunin, D.,