Kruse, C. G., Alexander, M. J., Bramberger, M., Chattopadhyay, A., Hassanzadeh, P., Green, B., Grimsdell, A. & Hoffmann, L. (2024).
Recreating observed convection-generated gravity waves from weather radar observations via a neural network and a dynamical atmospheric model.
J. Adv. Model. Earth. Sys., 16, e2023MS003624.
link
Guan, Y., Subel, A., Chattopadhyay, A. & Hassanzadeh, P. (2023).
Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES.
Physica D: Nonlinear Phenomenas, 443, p.133568.
link
Subel, A., Guan, Y., Chattopadhyay, A., & Hassanzadeh, P. (2023).
Explaining the physics of transfer learning in data-driven turbulence modeling.
Proceedings of the National Academy of Sciences Nexus, 2.
link
Sun, Y., Hassanzadeh, P., Alexander, M. J., & Kruse, C. (2023).
Quantifying 3D gravity wave drag in a library of tropical convection-permitting simulations for data-driven parameterizations.
Journal of Advances in Modeling Earth Systems, 15.
link
Chattopadhyay, A., Nabizadeh, E., Bach, E., & Hassanzadeh P. (2023).
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems.
Journal of Computational Physics, 477.
link
Mojgani, R., Balajewicz, M., & Hassanzadeh, P. (2023).
Kolmogorov n–width and Lagrangian physics–informed neural networks: A causality–conforming manifold for convection–dominated PDEs.
Computer Methods in Applied Mechanics and Engineering, 404.
link
Chattopadhyay, A., Pathak, J., Nabizadeh, E., Bhimji, W., & Hassanzadeh P. (2023).
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence.
Environmental Data Science, 2.
link
Guan, Y., Chattopadhyay, A., Subel, A., & Hassanzadeh, P. (2022).
Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning.
Journal of Computational Physics, 458, 111090.
link
Mansfield, L. A., & Sheshadri, A. (2022).
Calibration and Uncertainty Quantification of a Gravity Wave Parameterization: A Case Study of the Quasi‐Biennial Oscillation in an Intermediate Complexity Climate Model.
Journal of Advances in Modeling Earth Systems, 14(11), e2022MS003245.
link
Chattopadhyay, A., Pathak, J., Nabizadeh, E., Bhimji, W., & Hassanzadeh, P. (2022).
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence.
in press at Environmental Data Science.
link
Kruse, C. G., Bacmeister, J. T., Zarzycki, C. M., Larson, V. E., & Thayer-Calder, K. (2022).
Do Nudging Tendencies Depend on the Nudging Timescale Chosen in Atmospheric Models?
Journal of Advances in Modeling Earth Systems, 14, e2022MS003024.
link
Mojgani, R., Chattopadhyay, A., & Hassanzadeh, P. (2022). Discovery of interpretable structural
model errors by combining Bayesian sparse regression and data assimilation: A chaotic
Kuramoto–Sivashinsky test case. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(6), 061105.
link
Espinosa, Z. I., Sheshadri, A., Cain, G. R., Gerber, E. P., & DallaSanta, K. J. (2022). Machine
learning gravity wave parameterization generalizes to capture the QBO and response to increased CO2.
Geophysical Research Letters, 49, e2022GL098174.
link
Kruse, C. G., Alexander, M. J., Hoffmann, L., van Niekerk, A., Polichtchouk, I., Bacmeister, J. T.,
Holt, L., Plougonven, R., Šácha, P., Wright, C., Sato, K., Shibuya, R., Gisinger, S., Ern, M., Meyer, C. I., & Stein, O. (2022).
Observed and Modeled Mountain Waves from the Surface to the Mesosphere near the Drake Passage.
Journal of the Atmospheric Sciences, 79(4), 909-932.
link
Subel, A., Chattopadhyay, A., Guan, Y., & Hassanzadeh, P. (2021). Data-driven subgrid-scale
modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds
numbers via transfer learning. Physics of Fluids, 33(3), 031702.
link
Lindgren, E. A., Sheshadri, A., Podglajen, A., & Carver, R. W. (2020). Seasonal
and Latitudinal Variability of the Gravity Wave Spectrum in the Lower Stratosphere.
Journal of Geophysical Research: Atmospheres, 125(18), e2020JD032850.
link