AC
Ashesh Chattopadhyay
cs.LGphysics.ao-phcs.AIphysics.comp-phnlin.CDphysics.flu-dynmath.DSComputer SciencesOceanography and Atmospheric Sciences and MeteorologyPhysical Sciences and Mathematics
On Valency
published · living versionsW_uaw7gs8e·v1 · currentpublished
Optimizing Geoengineering Interventions Using Differentiable Climate Models
with Pulkit Dubey, Dorian S. Abbot
1 version
Preprints & journals
39 papers in the corpus · 2017–2026AI Emulation of Stochastic Sudden Stratospheric Warming with Interpretable Latent Structure2610.02069v1 · C. Daniel Boscu, Daniel Hernandez, Fabio Alvarez Ventura et al.2026 · 0 citationsarXiv
Optimizing Geoengineering Interventions Using Differentiable Climate Models2609.12528v1 · Pulkit Dubey, Dorian S. Abbot, Ashesh Chattopadhyay2026 · 0 citationsarXivon Valency
Eigenanalysis framework for autoregressive neural emulators of multi-scale chaotic dynamics2608.16084v1 · Conrad Ainslie, Pedram Hassanzadeh, Michael W. Mahoney et al.2026 · 0 citationsarXiv
High-resolution probabilistic estimation of three-dimensional regional ocean dynamics from sparse surface observations2604.02850v1 · Niloofar Asefi, Tianning Wu, Ruoying He et al.2026 · 0 citationsarXiv
High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator2602.13416v2 · Haiwen Guan, Dibyajyoti Chakraborty, Moein Darman et al.2026 · 0 citationsarXiv
Generative forecasting with joint probability models2512.24446v1 · Patrick Wyrod, Ashesh Chattopadhyay, Daniele Venturi2025 · 2 citationsarXiv
Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flows2512.09572v1 · Anish Sambamurthy, Ashesh Chattopadhyay2025 · 2 citationsarXiv
SWR-Viz: AI-assisted Interactive Visual Analytics Framework for Ship Weather Routing2511.15182v1 · Subhashis Hazarika, Leonard Lupin-Jimenez, Rohit Vuppala et al.2025 · 0 citationsarXiv
Deep learning the sources of MJO predictability: a spectral view of learned features2510.03582v1 · Lin Yao, Da Yang, James P.C. Duncan et al.2025 · 0 citationsarXiv
LUCIE-3D: A three-dimensional climate emulator for forced responses2509.02061v1 · Haiwen Guan, Troy Arcomano, Ashesh Chattopadhyay et al.2025 · 3 citationsarXiv
Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity2507.06479v1 · Niloofar Asefi, Leonard Lupin-Jimenez, Tianning Wu et al.2025 · 1 citationarXiv
Can AI weather models predict out-of-distribution gray swan tropical cyclones?40392853 · Sun, Y Qiang, Hassanzadeh, Pedram, Zand, Mohsen et al.2025 · 51 citationsProceedings of the National Academy of Sciences of the United States of America. 2025;122(21):e2420914122
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence2504.15487v1 · Moein Darman, Pedram Hassanzadeh, Laure Zanna et al.2025 · 0 citationsarXiv
Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators2501.05058v1 · Leonard Lupin-Jimenez, Moein Darman, Subhashis Hazarika et al.2025 · 3 citationsarXiv
Partition of Unity Physics-Informed Neural Networks (POU-PINNs): An Unsupervised Framework for Physics-Informed Domain Decomposition and Mixtures of Experts2412.06842v1 · Arturo Rodriguez, Ashesh Chattopadhyay, Piyush Kumar et al.2024 · 1 citationarXiv
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning2411.15101v1 · Arvind Mohan, Ashesh Chattopadhyay, Jonah Miller2024 · 1 citationarXiv
Improved deep learning of chaotic dynamical systems with multistep penalty losses2410.05572v1 · Dibyajyoti Chakraborty, Seung Whan Chung, Ashesh Chattopadhyay et al.2024 · 0 citationsarXiv
OceanNet: a principled neural operator-based digital twin for regional oceans.39261574 · Chattopadhyay, Ashesh, Gray, Michael, Wu, Tianning et al.2024 · 37 citationsScientific reports. 2024;14(1):21181
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles2405.16297v3 · Haiwen Guan, Troy Arcomano, Ashesh Chattopadhyay et al.2024 · 4 citationsarXiv
Data Imbalance, Uncertainty Quantification, and Generalization via Transfer Learning in Data-driven Parameterizations: Lessons from the Emulation of Gravity Wave Momentum Transport in WACCM2311.17078v1 · Y. Qiang Sun, Hamid A. Pahlavan, Ashesh Chattopadhyay et al.2023 · 5 citationsarXiv
Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case2309.13211v2 · Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh2023 · 9 citationsarXiv
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges2306.05014v3 · Karan Jakhar, Yifei Guan, Rambod Mojgani et al.2023 · 31 citationsarXiv
Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution2304.07029v2 · Ashesh Chattopadhyay, Y.Qiang Sun, Pedram Hassanzadeh2023 · 14 citationsarXiv
Explaining the physics of transfer learning in data-driven turbulence modeling.36896127 · Subel, Adam, Guan, Yifei, Chattopadhyay, Ashesh et al.2023 · 55 citationsPNAS nexus. 2023;2(3):pgad015
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems2206.04811v1 · Ashesh Chattopadhyay, Ebrahim Nabizadeh, Eviatar Bach et al.2022 · 46 citationsarXiv
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test case.35778119 · Mojgani, Rambod, Chattopadhyay, Ashesh, Hassanzadeh, Pedram2022 · 16 citationsChaos (Woodbury, N.Y.). 2022;32(6):061105
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence2205.04601v1 · Ashesh Chattopadhyay, Jaideep Pathak, Ebrahim Nabizadeh et al.2022 · 6 citationsarXiv
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators2202.11214v1 · Jaideep Pathak, Shashank Subramanian, Peter Harrington et al.2022 · 440 citationsarXiv
Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES2201.07347v1 · Yifei Guan, Adam Subel, Ashesh Chattopadhyay et al.2022 · 56 citationsarXiv
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers2103.09360v1 · Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh et al.2021 · 58 citationsGeoscientific Model Development, 15(5), 2022, 2221-2237
Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning2102.11400v1 · Yifei Guan, Ashesh Chattopadhyay, Adam Subel et al.2021 · 118 citationsarXiv
Physics-informed machine learning: case studies for weather and climate modelling.33583262 · Kashinath, K, Mustafa, M, Albert, A et al.2021 · 670 citationsPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences. 2021;379(2194):20200093
Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulencecqmb2 · Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh et al.2020 · 23 citationsEarthArXiv
Analog Forecasting of Extreme-Causing Weather Patterns Using Deep Learning.32714491 · Chattopadhyay, Ashesh, Nabizadeh, Ebrahim, Hassanzadeh, Pedram2024 · 224 citationsJournal of advances in modeling earth systems. 2020;12(2):e2019MS001958
Predicting clustered weather patterns: A test case for applications of convolutional neural networks to spatio-temporal climate data.31992743 · Chattopadhyay, Ashesh, Hassanzadeh, Pedram, Pasha, Saba2020 · 199 citationsScientific reports. 2020;10(1):1317
Spline-based Interface Modeling and Optimization (SIMO) for Surface Tension and Contact Angle Measurements1909.05943v1 · Karan Jakhar, Ashesh Chattopadhyay, Atul Thakur et al.2019 · 1 citationarXiv
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM1906.08829v3 · Ashesh Chattopadhyay, Pedram Hassanzadeh, Devika Subramanian2019 · 13 citationsNonlin. Processes Geophys. 2020
A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patternss2pjc · Ashesh Chattopadhyay, Pedram Hassanzadeh, Saba Pasha2019 · 23 citationsEarthArXiv
Spline Based Shape Prediction and Analysis of Uniformly Rotating Sessile and Pendant Droplets.28510437 · Jakhar, Karan, Chattopadhyay, Ashesh, Thakur, Atul et al.2018 · 11 citationsLangmuir : the ACS journal of surfaces and colloids. 2017;33(22):5603-5612
Career total: 97 works. 39 are in this corpus.
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