Image de couverture de livre

Climate Knowledge in Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kuznetsov, Ivan, Grassi, Jacopo, Pantiukhin, Dmitrii, Shapkin, Boris, Jung, Thomas, Koldunov, Nikolay
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Machine Learning Atmospheric and Oceanic Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Robustness of AI-based weather forecasts in a changing climate
par: Rackow, Thomas, et autres
Publié: (2024)

Neural General Circulation Models for Weather and Climate
par: Kochkov, Dmitrii, et autres
Publié: (2023)

Emerging AI-based weather prediction models as downscaling tools
par: Koldunov, Nikolay, et autres
Publié: (2024)

CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting
par: Li, Haobo, et autres
Publié: (2024)

Climate-Invariant Machine Learning
par: Beucler, Tom, et autres
Publié: (2021)

ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics
par: Varshney, Deeksha, et autres
Publié: (2025)

Prithvi WxC: Foundation Model for Weather and Climate
par: Schmude, Johannes, et autres
Publié: (2024)

Neural general circulation models optimized to predict satellite-based precipitation observations
par: Yuval, Janni, et autres
Publié: (2024)

Exploring Randomly Wired Neural Networks for Climate Model Emulation
par: Yik, William, et autres
Publié: (2022)

Towards Physically Consistent Deep Learning For Climate Model Parameterizations
par: Kühbacher, Birgit, et autres
Publié: (2024)

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
par: Nath, Pritthijit, et autres
Publié: (2024)

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
par: Orlova, Elena, et autres
Publié: (2022)

ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
par: Yu, Sungduk, et autres
Publié: (2023)

CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
par: Liu, Shuchang, et autres
Publié: (2025)

Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models
par: Li, Zhe, et autres
Publié: (2024)

Enforcing Equity in Neural Climate Emulators
par: Yik, William, et autres
Publié: (2024)

Generative Diffusion-based Downscaling for Climate
par: Watt, Robbie A., et autres
Publié: (2024)

FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models
par: Nath, Pritthijit, et autres
Publié: (2025)

SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
par: Duncan, James P. C., et autres
Publié: (2025)

Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
par: Zhang, Gan, et autres
Publié: (2025)

Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
par: Nath, Pritthijit, et autres
Publié: (2026)

Data Driven Deep Learning for Correcting Global Climate Model Projections of SST and DSL in the Bay of Bengal
par: Pasula, Abhishek, et autres
Publié: (2025)

Samudra: An AI Global Ocean Emulator for Climate
par: Dheeshjith, Surya, et autres
Publié: (2024)

Hard-Constrained Deep Learning for Climate Downscaling
par: Harder, Paula, et autres
Publié: (2022)

Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
par: Martin, Scott A., et autres
Publié: (2025)

Selection of CMIP6 Models for Regional Precipitation Projection and Climate Change Assessment in the Jhelum and Chenab River Basins
par: Jamal, Saad Ahmed, et autres
Publié: (2026)

Machine Learning Techniques for Data Reduction of Climate Applications
par: Li, Xiao, et autres
Publié: (2024)

Physics-Constrained Adaptive Flow Matching for Climate Downscaling
par: Debeire, Kevin, et autres
Publié: (2026)

Investigating the Robustness of Extreme Precipitation Super-Resolution Across Climates
par: Largeau, Louise, et autres
Publié: (2025)

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
par: Mouatadid, Soukayna, et autres
Publié: (2021)

Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
par: Palma, Lluís, et autres
Publié: (2025)

A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation
par: Schmidt, Jonathan, et autres
Publié: (2024)

SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting
par: Zhou, Ziyu, et autres
Publié: (2026)

CASCADE: Cross-scale Advective Super-resolution with Climate Assimilation and Downscaling Evolution
par: Kovalenko, Alexander
Publié: (2026)

Validating Climate Models with Spherical Convolutional Wasserstein Distance
par: Garrett, Robert C., et autres
Publié: (2024)

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
par: Chen, Shengchao, et autres
Publié: (2024)

Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
par: Wang, Chenggong, et autres
Publié: (2024)

Global Climate Model Bias Correction Using Deep Learning
par: Pasula, Abhishek, et autres
Publié: (2025)

Physics-Informed Lightweight Machine Learning for Aviation Visibility Nowcasting Across Multiple Climatic Regimes
par: Castillo, Marcelo Cerda
Publié: (2025)

mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations
par: Ma, Yiling, et autres
Publié: (2025)