Cover Image

When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hadid, Abdenour, Chakraborty, Tanujit, Busby, Daniel
Format:	Preprint
Published:	2024
Subjects:	Geophysics Artificial Intelligence Machine Learning Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
by: Ling, Fenghua, et al.
Published: (2024)

MoWE : A Mixture of Weather Experts
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)

AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
by: Camps-Valls, Gustau, et al.
Published: (2024)

Controllable Probabilistic Forecasting with Stochastic Decomposition Layers
by: Schreck, John S., et al.
Published: (2025)

Conditional diffusion models for downscaling and bias correction of Earth system model precipitation
by: Aich, Michael, et al.
Published: (2024)

Hurdle-IMDL: An Imbalanced Learning Framework for Infrared Rainfall Retrieval
by: Zhang, Fangjian, et al.
Published: (2025)

Large-Ensemble Simulations Reveal Links Between Atmospheric Blocking Frequency and Sea Surface Temperature Variability
by: Meng, Zilu, et al.
Published: (2026)

Interpretable AI-Driven Discovery of Terrain-Precipitation Relationships for Enhanced Climate Insights
by: Xu, Hao, et al.
Published: (2023)

When the Earth and Sky Dance: Seismic Shakes Meet Weather Patterns
by: Kandiah, Alessio, et al.
Published: (2025)

UT-GraphCast Hindcast Dataset: A Global AI Forecast Archive from UT Austin for Weather and Climate Applications
by: Sudharsan, Naveen, et al.
Published: (2025)

Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators
by: Lupin-Jimenez, Leonard, et al.
Published: (2025)

Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models
by: Christensen, Katie, et al.
Published: (2024)

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
by: Ling, Fenghua, et al.
Published: (2024)

Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers
by: Moss, Guy, et al.
Published: (2023)

Rethinking deep learning: linear regression remains a key benchmark in predicting terrestrial water storage
by: Nie, Wanshu, et al.
Published: (2025)

Hierarchical Testing of a Hybrid Machine Learning-Physics Global Atmosphere Model
by: Chen, Ziming, et al.
Published: (2026)

Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework
by: Zheng, Qingyu, et al.
Published: (2024)

Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence
by: Babu, Anantha Narayanan Suresh, et al.
Published: (2025)

Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods
by: Ali, Sahara, et al.
Published: (2024)

Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models
by: Shu, Hailong, et al.
Published: (2024)

Constructing Extreme Heatwave Storylines with Differentiable Climate Models
by: Whittaker, Tim, et al.
Published: (2025)

Enhancing Near Real Time AI-NWP Hurricane Forecasts: Improving Explainability and Performance Through Physics-Based Models and Land Surface Feedback
by: Sudharsan, Naveen, et al.
Published: (2025)

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes
by: Rampal, Neelesh, 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)

Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecasting
by: Rice, Julian, et al.
Published: (2020)

Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation
by: Gupta, Aman, et al.
Published: (2024)

DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Models
by: Bassetti, Seth, et al.
Published: (2024)

Developing Global Aerosol Models based on the Analysis of 30-Year Ground Measurements by AERONET (AEROEX models) and Implication on Satellite based Aerosol Retrievals
by: Mishra, Manoj K, et al.
Published: (2024)

The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline
by: Garg, Piyush, et al.
Published: (2026)

Carbon Trapping Efficiency of Hydropower Reservoirs under the Influence of a Tropical Climate
by: Santos, Marco Aurelio dos, et al.
Published: (2025)

Lightning declines over shipping lanes following regulation of fuel sulfur emissions
by: Wright, Chris J., et al.
Published: (2024)

Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modeling
by: Liu, Xinyue, et al.
Published: (2025)

Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
by: Hess, Philipp, et al.
Published: (2024)

Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences
by: Narayanan, Anushka, et al.
Published: (2024)

Leveraging an Atmospheric Foundational Model for Subregional Sea Surface Temperature Forecasting
by: Medina, Víctor, et al.
Published: (2025)

Global spatio-temporal downscaling of ERA5 precipitation through generative AI
by: Glawion, Luca, et al.
Published: (2024)

Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control
by: Yu, Junjie, et al.
Published: (2025)

A two-way coupled high resolution wave hindcast for the South China Sea
by: Bagnasco, Tiziano, et al.
Published: (2024)

A Dataset of Weather Station-Scale Photosynthetic Phenology in Mid- to High-Latitude Regions of the Northern Hemisphere
by: Shi, Haiyang
Published: (2025)

The role of energetic flow structures on the aeolian transport of sediment and plastic debris
by: Valyrakis, Manousos, et al.
Published: (2024)