LUCIE-3D: A three-dimensional climate emulator for forced responses
Fuente:
arXiv
Saved in:
| Main Authors: | Guan, Haiwen, Arcomano, Troy, Chattopadhyay, Ashesh, Maulik, Romit |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
by: Guan, Haiwen, et al.
Published: (2024)
by: Guan, Haiwen, et al.
Published: (2024)
A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering
by: Malik, Zachariah, et al.
Published: (2024)
by: Malik, Zachariah, et al.
Published: (2024)
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
by: Nguyen, Tung, et al.
Published: (2023)
by: Nguyen, Tung, et al.
Published: (2023)
Towards accurate extreme event likelihoods from diffusion model climate emulators
by: Manshausen, Peter, et al.
Published: (2026)
by: Manshausen, Peter, et al.
Published: (2026)
FloeNet: A mass-conserving global sea ice emulator that generalizes across climates
by: Gregory, William, et al.
Published: (2026)
by: Gregory, William, et al.
Published: (2026)
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
by: Sun, Y. Qiang, et al.
Published: (2024)
by: Sun, Y. Qiang, et al.
Published: (2024)
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
by: Chattopadhyay, Ashesh, et al.
Published: (2021)
by: Chattopadhyay, Ashesh, et al.
Published: (2021)
Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators
by: Lupin-Jimenez, Leonard, et al.
Published: (2025)
by: Lupin-Jimenez, Leonard, et al.
Published: (2025)
Prediction Beyond the Medium Range with an Atmosphere-Ocean Model that Combines Physics-based Modeling and Machine Learning
by: Patel, Dhruvit, et al.
Published: (2024)
by: Patel, Dhruvit, et al.
Published: (2024)
MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
by: Nath, Shruti, et al.
Published: (2024)
by: Nath, Shruti, et al.
Published: (2024)
Probing forced responses and causality in data-driven climate emulators: conceptual limitations and the role of reduced-order models
by: Falasca, Fabrizio
Published: (2025)
by: Falasca, Fabrizio
Published: (2025)
HiRO-ACE: Fast and skillful AI emulation and downscaling trained on a 3 km global storm-resolving model
by: Perkins, W. Andre, et al.
Published: (2025)
by: Perkins, W. Andre, et al.
Published: (2025)
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
by: Darman, Moein, et al.
Published: (2025)
by: Darman, Moein, et al.
Published: (2025)
SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
by: Duncan, James P. C., et al.
Published: (2025)
by: Duncan, James P. C., et al.
Published: (2025)
MoWE : A Mixture of Weather Experts
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)
PDE foundation models are skillful AI weather emulators for the Martian atmosphere
by: Schmude, Johannes, et al.
Published: (2026)
by: Schmude, Johannes, et al.
Published: (2026)
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
by: Watt-Meyer, Oliver, et al.
Published: (2024)
by: Watt-Meyer, Oliver, et al.
Published: (2024)
HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales
by: Abdi, Daniel, et al.
Published: (2025)
by: Abdi, Daniel, et al.
Published: (2025)
Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM
by: Baxter, Ian, et al.
Published: (2025)
by: Baxter, Ian, et al.
Published: (2025)
Robustness of AI-based weather forecasts in a changing climate
by: Rackow, Thomas, et al.
Published: (2024)
by: Rackow, Thomas, et al.
Published: (2024)
Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators
by: Wesselkamp, Marieke, et al.
Published: (2024)
by: Wesselkamp, Marieke, et al.
Published: (2024)
Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model
by: Addison, Henry, et al.
Published: (2024)
by: Addison, Henry, et al.
Published: (2024)
An Adaptive Spatiotemporal Clustering Framework for 3D Ocean Subsurface Temperature Reconstruction
by: Loo, Ming Shan, et al.
Published: (2026)
by: Loo, Ming Shan, et al.
Published: (2026)
Score-based generative emulation of impact-relevant Earth system model outputs
by: Bouabid, Shahine, et al.
Published: (2025)
by: Bouabid, Shahine, et al.
Published: (2025)
OceanNet: A principled neural operator-based digital twin for regional oceans
by: Chattopadhyay, Ashesh, et al.
Published: (2023)
by: Chattopadhyay, Ashesh, et al.
Published: (2023)
On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed
by: Pahlavan, Hamid A., et al.
Published: (2024)
by: Pahlavan, Hamid A., et al.
Published: (2024)
Generative assimilation and prediction for weather and climate
by: Yang, Shangshang, et al.
Published: (2025)
by: Yang, Shangshang, et al.
Published: (2025)
Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flows
by: Sambamurthy, Anish, et al.
Published: (2025)
by: Sambamurthy, Anish, et al.
Published: (2025)
Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR measurements
by: Iungo, G. Valerio, et al.
Published: (2021)
by: Iungo, G. Valerio, et al.
Published: (2021)
Dynamical-generative downscaling of climate model ensembles
by: Lopez-Gomez, Ignacio, et al.
Published: (2024)
by: Lopez-Gomez, Ignacio, et al.
Published: (2024)
Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case
by: Mojgani, Rambod, et al.
Published: (2023)
by: Mojgani, Rambod, et al.
Published: (2023)
Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation strategies in urban microclimates
by: Buster, Grant, et al.
Published: (2024)
by: Buster, Grant, et al.
Published: (2024)
Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution
by: Chattopadhyay, Ashesh, et al.
Published: (2023)
by: Chattopadhyay, Ashesh, et al.
Published: (2023)
Embedding machine-learnt sub-grid variability improves climate model biases
by: Giles, Daniel, et al.
Published: (2024)
by: Giles, Daniel, et al.
Published: (2024)
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics
by: Sorensen, Benedikt Barthel, et al.
Published: (2024)
by: Sorensen, Benedikt Barthel, et al.
Published: (2024)
An Analytical and AI-discovered Stable, Accurate, and Generalizable Subgrid-scale Closure for Geophysical Turbulence
by: Jakhar, Karan, et al.
Published: (2025)
by: Jakhar, Karan, et al.
Published: (2025)
Towards Location-Specific Precipitation Projections Using Deep Neural Networks
by: Kumar, Bipin, et al.
Published: (2025)
by: Kumar, Bipin, et al.
Published: (2025)
Conditional Flow Matching for Probabilistic Downscaling of Maximum 3-day Snowfall in Alaska
by: Brinkerhoff, Douglas, et al.
Published: (2026)
by: Brinkerhoff, Douglas, et al.
Published: (2026)
An AI-driven framework for the prediction of personalised health response to air pollution
by: Zounemat-Kermani, Nazanin, et al.
Published: (2025)
by: Zounemat-Kermani, Nazanin, et al.
Published: (2025)
Similar Items
-
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
by: Guan, Haiwen, et al.
Published: (2024) -
A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering
by: Malik, Zachariah, et al.
Published: (2024) -
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints
by: Wang, Xin, et al.
Published: (2025) -
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
by: Nguyen, Tung, et al.
Published: (2023) -
Towards accurate extreme event likelihoods from diffusion model climate emulators
by: Manshausen, Peter, et al.
Published: (2026)