Schmitt, J.F., Tseng, K.-C., Hughes, M., Johnson, N.C., 2024: Illuminating snow droughts: The future of Western United States snowpack in the SPEAR large ensemble. Journal
Luk, E., Bach, E., Baptista, R., Stuart, A., 2024: Learning optimal filters using variational inference. Workshop on Machine Learning for Earth System Modeling, International Conference on
Azimi, S., Jaruga, A., de Jong, E., Arabas, S., Schneider, T., 2024: Training warm-rain bulk microphysics schemes using super-droplet simulations. Journal of Advances in Modeling
Dunbar, O.R.A., Bieli, M., Garbuno-Inigo, A., Howland, M.F., De Souza, A., Mansfield, L.M., Wagner, G.L., Efrat-Henrici N., 2024: CalibrateEmulateSample.jl: Accelerated parametric uncertainty quantification. Journal of
Wu, J., Levine, M.E., Schneider, T., Stuart, A., 2024: Learning about structural errors in models of complex dynamical systems. Journal of Computational Physics, 513, 113157.
Bonan, D., Schneider, T., Zhu, J., 2024: Precipitation over a wide range of climates simulated with comprehensive GCMs. Geophysical Research Letters, 51, E2024GL109892. [PDF] [Official
Bischoff, T., Deck, K., 2024: Unpaired downscaling of fluid flows with diffusion bridges. Artificial Intelligence for the Earth Systems, 3, e230039. [PDF] [Official version]
Bach, E., Colonius, T., Scherl, I., Stuart, A., 2024: Filtering dynamical systems using observations of statistics. Chaos, 34, 033119. [PDF] [Official version]
Ren T., Yang P., Huang X., Chen X., Shen, Z., 2023: Enhanced cloud top longwave radiative cooling due to the effect of horizontal radiative transfer in
Chammas, S., Wang, Q., Schneider, T., Ihme, M., Chen, Y., Anderson, J., 2023: Accelerating large-eddy simulations of clouds with tensor processing units. Journal of Advances