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Bibliografiske detaljer
Main Authors:	Hadid, Abdenour, Chakraborty, Tanujit, Busby, Daniel
Format:	Preprint
Udgivet:	2024
Fag:	Geophysics Artificial Intelligence Machine Learning Atmospheric and Oceanic Physics
Online adgang:	https://arxiv.org/abs/2402.03349
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Lignende værker

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
af: Darman, Moein, et al.
Udgivet: (2025)

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

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

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

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

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

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

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

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes
af: Rampal, Neelesh, et al.
Udgivet: (2025)

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

ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability
af: Wang, Xiao, et al.
Udgivet: (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
af: Mishra, Manoj K, et al.
Udgivet: (2024)

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

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

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

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

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

Removing Atmospheric Carbon Dioxide Using Large Land Or Ocean Areas Will Change Earth Albedo And Force Climate
af: Marston, J. B., et al.
Udgivet: (2025)

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