| Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022 | 728 | 2022 |
| Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021 | 521 | 2021 |
| Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: reservoir computing, ANN, and RNN-LSTM A Chattopadhyay, P Hassanzadeh, D Subramanian arXiv preprint arXiv:1906.08829, 1-21, 2019 | 255 | 2019 |
| Analog forecasting of extreme-causing weather patterns using deep learning A Chattopadhyay, E Nabizadeh, P Hassanzadeh Journal of Advances in Modeling Earth Systems 12, 2020 | 212 | 2020 |
| Predicting clustered weather patterns: A test case for applications of convolutional neural networks to spatio-temporal climate data A Chattopadhyay, P Hassanzadeh, S Pasha Scientific reports 10 (1), 1317, 2020 | 178 | 2020 |
| Zombie vortex instability. I. A purely hydrodynamic instability to resurrect the dead zones of protoplanetary disks PS Marcus, S Pei, CH Jiang, JA Barranco, P Hassanzadeh, D Lecoanet The Astrophysical Journal 808 (1), 87-102, 2015 | 151 | 2015 |
| Responses of midlatitude blocks and wave amplitude to changes in the meridional temperature gradient in an idealized dry GCM P Hassanzadeh, Z Kuang, BF Farrell Geophysical Research Letters 41 (14), 5223-5232, 2014 | 136 | 2014 |
| A Perspective on Climate Model Hierarchies N Jeevanjee, P Hassanzadeh, S Hill, A Sheshadri Journal of Advances in Modeling Earth Systems, 2017 | 133 | 2017 |
| Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning Y Guan, A Chattopadhyay, A Subel, P Hassanzadeh Journal of Computational Physics 458, 2022 | 102 | 2022 |
| Three-dimensional vortices generated by self-replication in stably stratified rotating shear flows PS Marcus, S Pei, CH Jiang, P Hassanzadeh Physical Review Letters 111 (8), 084501, 2013 | 97 | 2013 |
| Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning A Subel, A Chattopadhyay, Y Guan, P Hassanzadeh Physics of Fluids 33 (3), 2021 | 90 | 2021 |
| Blocking variability: Arctic Amplification versus Arctic Oscillation P Hassanzadeh, Z Kuang Geophysical Research Letters 42 (20), 8586–8595, 2015 | 84 | 2015 |
| Wall to wall optimal transport P Hassanzadeh, GP Chini, CR Doering Journal of Fluid Mechanics 751, 627-662, 2014 | 80 | 2014 |
| Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5 A Chattopadhyay, M Mustafa, P Hassanzadeh, E Bach, K Kashinath Geoscientific Model Development 15 (5), 2221-2237, 2022 | 70* | 2022 |
| Kolmogorov n–width and Lagrangian physics-informed neural networks: A causality-conforming manifold for convection-dominated PDEs R Mojgani, M Balajewicz, P Hassanzadeh Computer Methods in Applied Mechanics and Engineering 404, 115810, 2023 | 69* | 2023 |
| Data‐driven super‐parameterization using deep learning: Experimentation with multi‐scale Lorenz 96 systems and transfer learning A Chattopadhyay, A Subel, P Hassanzadeh Journal of Advances in Modeling Earth Systems, e2020MS002084, 2020 | 69 | 2020 |
| The universal aspect ratio of vortices in rotating stratified flows: theory and simulation P Hassanzadeh, PS Marcus, P Le Gal Journal of Fluid Mechanics 706, 46-57, 2012 | 59 | 2012 |
| Explaining the physics of transfer learning in data-driven turbulence modeling A Subel, Y Guan, A Chattopadhyay, P Hassanzadeh PNAS nexus 2 (3), pgad015, 2023 | 57 | 2023 |
| Size of the atmospheric blocking events: Scaling law and response to climate change E Nabizadeh, P Hassanzadeh, D Yang, EA Barnes Geophysical Research Letters 46, 2019 | 56 | 2019 |
| Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES Y Guan, A Subel, A Chattopadhyay, P Hassanzadeh Physica D: Nonlinear Phenomena 443, 133568, 2023 | 55 | 2023 |
Ashesh ChattopadhyayUniversity of California, Santa CruzPatvirtintas el. paštas ucsc.edu
