Dunbar, O.R.A., Howland, M.F., Schneider, T., Stuart, A.M., 2022: Ensemble-based experimental design for targeting data requisition to inform climate models. Journal of Advances in Modeling Earth Systems, 14, e2022MS002997.
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All Posts
An efficient Bayesian approach to learning droplet collision kernels: Proof of concept using “Cloudy”, a new n-moment bulk microphysics scheme
Bieli, M., Dunbar, O.R.A., de Jong, E.K., Jaruga, A., Schneider, T., Bischoff, T., 2022: An efficient Bayesian approach to learning droplet collision kernels: Proof of concept using “Cloudy”, a new n-moment bulk microphysics scheme. Journal of Advances in Modeling Earth Systems, 14, e2022MS002994.
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Iterated Kalman methodology for inverse problems
Huang, D.Z., Schneider, T., Stuart, A.M., 2022: Iterated Kalman methodology for inverse problems. Journal of Computational Physics, 463, 111262.
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The cost-accuracy trade-off in operator learning with neural networks
de Hoop, M.V., Huang, D.Z., Qian, E., Stuart, A.M., 2022: The cost-accuracy trade-off in operator learning with neural networks. Journal of Machine Learning, 1, 299-341.
[PDF] [Online version]
Efficient derivative-free Bayesian inference for large-scale inverse problems
Huang, D.Z., Huang, J., Reich, S., Stuart, A.M., 2022: Efficient derivative-free Bayesian inference for large-scale inverse problems. Inverse Problems, 38, 125006.
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PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry
Bartman, P., Bulenok, O., Górski, K., Jaruga, A., Łazarski, G., Olesik, M.A., Piasecki, B., Singer, C.E., Talar, A., Arabas, S., 2022: PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry. Journal of Open Source Software, 7, 3219.
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Spanning the gap from bulk to bin: a novel spectral microphysics method
de Jong, E., Bischoff, T., Nadim, A., Schneider, T., 2022: Spanning the gap from bulk to bin: a novel spectral microphysics method. Journal of Advances in Modeling Earth Systems, 14, e2022MS003186.
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New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping
de Jong, E.K., Singer, C.E., Azimi, S., Bartman, P., Bulenok, O., Derlatka, K., Dula, I., Jaruga, A., Mackay, J.B., Ward, R.X., Arabas, S., 2023: New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping. Journal of Open Source Software, 8, 4968.
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EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration
Dunbar, O.R.A., Lopez-Gomez, I., Garbuno-Iñigo, A., Huang, D.Z., Bach, E., Wu, J., 2022: EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration. Journal of Open Source Software, 7, 4869.
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The Flux-Differencing Discontinuous Galerkin Method Applied to an Idealized Fully Compressible Nonhydrostatic Dry Atmosphere
Souza, A.N., He, J., Bischoff, T., Waruszewski, M., Novak, L., Barra, V., Gibson, T., Sridhar, A., Kandala, S., Byrne, S., Wilcox, L.C., Kozdon, J., Giraldo, F.X., Knoth, O., Marshall, J., Ferrari, R., Schneider, T., 2023: The flux-Differencing discontinuous Galerkin method applied to an idealized fully compressible nonhydrostatic dry atmosphere. Journal of Advances in Modeling Earth Systems, 15, e2022MS003527.
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