Cover Image

Epistemic and Aleatoric Uncertainty Quantification in Weather and Climate Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mansfield, Laura A., Christensen, Hannah M.
Format:	Preprint
Published:	2025
Subjects:	Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative Diffusion-based Downscaling for Climate
by: Watt, Robbie A., et al.
Published: (2024)

CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification
by: Shi, Jimeng, et al.
Published: (2024)

Mixed-Precision Computing in the GRIST Dynamical Core for Weather and Climate Modelling
by: Chen, Siyuan, et al.
Published: (2024)

Am I Confused or Is This Confusing?: Deep Ensembles for ENSO Uncertainty Quantification
by: McAfee, Devin M., et al.
Published: (2025)

On the Predictive Skill of Artificial Intelligence-based Weather Models for Extreme Events using Uncertainty Quantification
by: Almeida, Rodrigo, et al.
Published: (2025)

Weather Jiu-Jitsu: Climate Adaptation for the 21st Century
by: Huang, Qin, et al.
Published: (2025)

The Link between Gulf Stream Precipitation and European Blocking in General Circulation Models and the Role of Horizontal Resolution
by: Strommen, Kristian, et al.
Published: (2024)

Seasonal forecasting using the GenCast probabilistic machine learning model
by: Antonio, Bobby, et al.
Published: (2025)

Role of the ocean for fast atmospheric evolution revealed by machine learning
by: Antonio, Bobby, et al.
Published: (2026)

Assimilating Observed Surface Pressure into ML Weather Prediction Models
by: Slivinski, Laura C., et al.
Published: (2024)

How does an AI Weather Model Learn to Forecast Extreme Weather?
by: Baiman, Rebecca, et al.
Published: (2025)

Forecasting the Future with Yesterday's Climate: Temperature Bias in AI Weather and Climate Models
by: Landsberg, Jacob B., et al.
Published: (2025)

ACE2-NEMO: Coupling an ML atmospheric emulator to a full-depth dynamical ocean model
by: Antonio, Bobby, et al.
Published: (2026)

Navigating Through Turbulence: Blueprint for the Next Generation of Weather-Climate Scientists
by: Zhang, Gan, et al.
Published: (2025)

Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
by: Huang, Qin, et al.
Published: (2026)

Prithvi WxC: Foundation Model for Weather and Climate
by: Schmude, Johannes, et al.
Published: (2024)

Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
by: Lieberman, Kelsey, et al.
Published: (2026)

Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method
by: Becker, Charlie, et al.
Published: (2025)

Watch an AI Weather Model Learn (and Unlearn) Tropical Cyclones
by: Baiman, Rebecca, et al.
Published: (2026)

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
by: Nath, Pritthijit, et al.
Published: (2024)

Uncertainty Quantification in Forecast Comparisons
by: Pohle, Marc-Oliver, et al.
Published: (2026)

Near-surface Extreme Wind Events and Their Responses to Climate Forcings in a Hierarchy of Global Climate Models
by: Zhang, G., et al.
Published: (2026)

Satellite-Based Quantification of Contrail Radiative Forcing over Europe: A Two-Week Analysis of Aviation-Induced Climate Effects
by: Ortiz, Irene, et al.
Published: (2024)

Neural General Circulation Models for Weather and Climate
by: Kochkov, Dmitrii, et al.
Published: (2023)

Error in ERA5 2m Temperature identified using GraphCast
by: Christensen, Hannah M., et al.
Published: (2026)

Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations
by: Singh, Renu, et al.
Published: (2026)

Origin and Limits of Invariant Warming Patterns in Climate Models
by: Giani, Paolo, et al.
Published: (2024)

Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model
by: Liu, Moyan, et al.
Published: (2026)

Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
by: Buono, Gian Luca, et al.
Published: (2026)

Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model
by: Pu, Jingchen, et al.
Published: (2026)

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

Livestock, Methane and Climate
by: Alexander, D., et al.
Published: (2026)

Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate
by: Saha, Anamitra, et al.
Published: (2024)

Future Amplification of Moist Weather Extremes in the Midlatitudes
by: Li, Funing, et al.
Published: (2026)

Predicting Beyond Training Data via Extrapolation versus Translocation: AI Weather Models and Dubai's Unprecedented 2024 Rainfall
by: Sun, Y. Qiang, et al.
Published: (2025)

FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models
by: Nath, Pritthijit, et al.
Published: (2025)

Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
by: Nath, Pritthijit, et al.
Published: (2026)

WP-MIP: An Artificial Intelligence, Hybrid and Physically Based Model Intercomparison Project for Weather Prediction
by: McTaggart-Cowan, Ron, et al.
Published: (2026)

Project Severe Weather Archive of the Philippines (SWAP). Part 1: Establishing a Baseline Climatology for Severe Weather across the Philippine Archipelago
by: Capuli, Generich H.
Published: (2024)

Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition
by: Lin, Jerry, et al.
Published: (2025)