CliMA Publications

Submitted/in press

  • Ramadhan, A., Marshall, J. , Souza, A., Wagner, G.L., Ponnapati, M., Rackauckas, C., 2020: Capturing missing physics in climate model parameterizations using neural differential equations, arXiv e-prints arXiv:2010.12559, submitted.

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  • Singer, C.E., Lopez-Gomez, I., Zhang, X., Schneider, T., 2020: Top-of-atmosphere albedo bias from neglecting three-dimensional radiative transfer through clouds, Geophysical Research Letters, in preparation.

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  • Schneider, T., Stuart, A.M., Wu, J., 2020: Imposing sparsity within ensemble Kalman inversion, arXiv e-prints arXiv:2007.06175, submitted.
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  • Burov, D., Giannakis, D., Manohar, K., Stuart, A.M., 2020: Kernel analog forecasting: multiscale test problems, arXiv e-prints arXiv:2005.06623, submitted.
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  • Schneider, T., Stuart, A.M., Wu, J., 2020: Learning stochastic closures using ensemble Kalman inversion, arXiv e-prints arXiv:2004.08376, submitted.
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  • Souza, A. N., Wagner, G. L., Ramadhan, A., Allen, B., Churavy, V., Schloss, J., Campin, J., Hill, C., Edelman, A., Marshall, J., Flierl G., Ferrari, R., Uncertainty quantification of ocean parameterizations: application to the K-Profile-Parameterization for penetrative convection, Journal of Advances in Modeling Earth Systems, under review.

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2021

  • Cleary, E., Garbuno-Inigo, A., Lan, S., Schneider, T., Stuart, A.M., 2020: Calibrate, emulate, sample, Journal of Computational Physics, 424, 109716.
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2020

  • Schneider, T., Kaul, C. M., Pressel, K. G., 2020: Solar geoengineering may not prevent strong warming from direct effects of CO2 on stratocumulus cloud cover, Proceedings of the National Academy of Sciences, p. 202003730, doi:10.1073/pnas.2003730117.

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  • Lopez-Gomez, I., Cohen, Y., He, J., Jaruga, A., Schneider, T., 2020: A generalized mixing length closure for eddy-diffusivity mass-flux schemes of turbulence and convection. Journal of Advances in Modeling Earth Systems, 12, e2020MS002161.
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  • Gallet, B., Ferrari, R., 2020: The vortex gas scaling regime of baroclinic turbulence. Proceedings of the National Academy of Sciences, 117, 4491-4497.
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  • Cohen, Y., Lopez-Gomez, I., Jaruga A., He, J., Kaul, C. M., Schneider, T., 2020: Unified entrainment and detrainment closures for extended eddy-diffusivity mass-flux schemes. Journal of Advances in Modeling Earth Systems, 12, e2020MS002162.
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  • Shen, Z., Pressel, K. G., Tan, Z., Schneider, T., 2020: Statistically steady state large-eddy simulations forced by an idealized GCM: 1. Forcing framework and simulation characteristics, Journal of Advances in Modeling Earth Systems, 12, e2019MS001814.
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  • Ramadhan, A., Wagner, G., Hill, C., Campin, J.M., Churavy, V., Besard, T., et al., 2020: Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs. Journal of Open Source Software, 5(53).

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  • Garbuno-Inigo, A., Hoffmann, F. Li, W., Stuart, A.M., 2020: Interacting Langevin diffusions:
    gradient structure and ensemble Kalman sampler, SIAM Journal on Applied Dynamical Systems, 19, 412-441.
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  • Novak, L., Schneider, T., Ait-Chaalal, F., 2020: Midwinter suppression of storm tracks in an idealized zonally symmetric setting, Journal of the Atmospheric Sciences, 77, 297-313.
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2019

2018

  • Callies, J., Ferrari, R., 2018: Baroclinic instability in the presence of convection. Journal of Physical Oceanography, 48, 1543–1553.
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  • Stuart, A. M., Teckentrup, A. L., 2018: Posterior consistency for Gaussian process approximations of Bayesian posterior distributions. Mathematics of Computation, 87, 721-753.
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  • Tan, Z., Kaul, C. M., Pressel, K. G., Cohen, Y., Schneider, T., Teixeira, J., 2018: An extended eddy-diffusivity mass-flux scheme for unified representation of subgrid-scale turbulence and convection. Journal of Advances in Modeling Earth Systems, 10, 770-800.
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  • Callies, J., Ferrari, R., 2018: Note on the rate of restratification in the baroclinic spindown of fronts. Journal of Physical Oceanography, 48, 45–60.
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2017

  • Schneider, T., Lan, S., Stuart, A. M., Teixeira, J., 2017: Earth system modeling 2.0: A blueprint for models that learn from observations and targeted high-resolution simulations. Geophysical Research Letters, 44, 12,396–12,417, doi:10.1002/2017GL076101.
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  • Schillings, C., Stuart, A. M., 2017: Analysis of the ensemble Kalman filter for inverse problems. SIAM Journal on Numerical Analysis, 55, 1264-1290.
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  • Iglesias, M. A., Lin, K., Lu, S., Stuart, A. M., 2017: Filter based methods for statistical linear inverse problems. Communications in Math. Sciences, 15, 1867-1896.
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  • Schneider, T., Teixeira, J., Bretherton, C. S., Brient, F., Pressel, K. G., Schär, C., Siebesma, A. P., 2017: Climate goals and computing the future of clouds. Nature Climate Change, 7, 3-5.
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