Pedram Hassanzadeh
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
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
Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network
A Chattopadhyay, P Hassanzadeh, D Subramanian
Nonlinear Processes in Geophysics 27 (3), 373-389, 2020
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
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
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
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
A Perspective on Climate Model Hierarchies
N Jeevanjee, P Hassanzadeh, S Hill, A Sheshadri
Journal of Advances in Modeling Earth Systems, 2017
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
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
Blocking variability: Arctic Amplification versus Arctic Oscillation
P Hassanzadeh, Z Kuang
Geophysical Research Letters 42 (20), 8586–8595, 2015
Wall to wall optimal transport
P Hassanzadeh, GP Chini, CR Doering
Journal of Fluid Mechanics 751, 627-662, 2014
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
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
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
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
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
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
The linear response function of an idealized atmosphere. Part I: Construction using Green’s functions and applications
P Hassanzadeh, Z Kuang
Journal of the Atmospheric Sciences 73 (9), 2016
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
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Straipsniai 1–20