Copertina

Setting the Standard: Recommended Practices for Data Preprocessing in Data-Driven Climate Prediction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Furtado, Jason C., Molina, Maria J., Arcodia, Marybeth C., Anderson, Weston, Beucler, Tom, Callahan, John A., Ciasto, Laura M., Gensini, Vittorio A., L'Heureux, Michelle, Pegion, Kathleen, Pérez-Carrasquilla, Jhayron S., Sonnewald, Maike, Takahashi, Ken, Xiang, Baoqiang, Zimmerman, Brian G.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Data Analysis, Statistics and Probability Machine Learning Atmospheric and Oceanic Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An Earth-System-Oriented View of the S2S Predictability of North American Weather Regimes
di: Pérez-Carrasquilla, Jhayron S., et al.
Pubblicazione: (2024)

Digestible Pieces: comparing three options for partitioning the Northeast Pacific Coast for S2S sea surface height prediction
di: Thapa, Laura, et al.
Pubblicazione: (2025)

M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data
di: Nichol, J. Jake, et al.
Pubblicazione: (2026)

Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model
di: Heuer, Helge, et al.
Pubblicazione: (2025)

Data-Driven Equation Discovery of a Cloud Cover Parameterization
di: Grundner, Arthur, et al.
Pubblicazione: (2023)

Using Generative Artificial Intelligence Creatively in the Classroom and Research: Examples and Lessons Learned
di: Molina, Maria J., et al.
Pubblicazione: (2024)

Turning Up the Heat: Assessing 2-m Temperature Forecast Errors in AI Weather Prediction Models During Heat Waves
di: Ennis, Kelsey E., et al.
Pubblicazione: (2025)

From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data
di: Tam, Frederick Iat-Hin, et al.
Pubblicazione: (2025)

Machine Learning of Vertical Fluxes by Unresolved Midlatitude Mesoscale Processes
di: Ismaili, Erisa, et al.
Pubblicazione: (2026)

Reduced Cloud Cover Errors in a Hybrid AI-Climate Model Through Equation Discovery And Automatic Tuning
di: Grundner, Arthur, et al.
Pubblicazione: (2025)

How do the Pacific and Atlantic Oceans synergize to modulate Southeastern United States Precipitation Variability?
di: Singhai, Priyanshi, et al.
Pubblicazione: (2024)

Calibrated Conformal Prediction Intervals for Microphysical Process Rates
di: Simm, Miriam, et al.
Pubblicazione: (2026)

Lessons Learned: Reproducibility, Replicability, and When to Stop
di: Gomez, Milton S., et al.
Pubblicazione: (2024)

Investigating the Robustness of Extreme Precipitation Super-Resolution Across Climates
di: Largeau, Louise, et al.
Pubblicazione: (2025)

Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning
di: Ferretti, Savannah L., et al.
Pubblicazione: (2026)

Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications
di: Beucler, Tom, et al.
Pubblicazione: (2023)

Stress-testing the coupled behavior of hybrid physics-machine learning climate simulations on an unseen, warmer climate
di: Lin, Jerry, et al.
Pubblicazione: (2024)

Lightning-Fast Convective Outlooks: Predicting Severe Convective Environments with Global AI-based Weather Models
di: Feldmann, Monika, et al.
Pubblicazione: (2024)

Dissipating the correlation smokescreen: Causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic
di: Fons, Emilie, et al.
Pubblicazione: (2026)

Machine learning for climate physics and simulations
di: Lai, Ching-Yao, et al.
Pubblicazione: (2024)

Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models
di: Gomez, Milton, et al.
Pubblicazione: (2025)

Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model
di: Shi, Jia-Rui, et al.
Pubblicazione: (2026)

Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
di: Leclerc, Antoine, et al.
Pubblicazione: (2025)

Identifying Three-Dimensional Radiative Patterns Associated with Early Tropical Cyclone Intensification
di: Tam, Frederick Iat-Hin, et al.
Pubblicazione: (2024)

Machine Learning Techniques for Data Reduction of Climate Applications
di: Li, Xiao, et al.
Pubblicazione: (2024)

Causally-informed deep learning to improve climate models and projections
di: Iglesias-Suarez, Fernando, et al.
Pubblicazione: (2023)

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
di: Behrens, Gunnar, et al.
Pubblicazione: (2024)

Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
di: Palma, Lluís, et al.
Pubblicazione: (2025)

Climate-Invariant Machine Learning
di: Beucler, Tom, et al.
Pubblicazione: (2021)

Scalable Climate Data Analysis: Balancing Petascale Fidelity and Computational Cost
di: Panta, Aashish, et al.
Pubblicazione: (2025)

Leveraging Climate Services to Build Climate Resilient Power Systems
di: Dubus, Laurent, et al.
Pubblicazione: (2026)

Data-driven Urban Surface Classification Elucidates Global City Heterogeneity
di: Chen, Yiheng, et al.
Pubblicazione: (2026)

Data Driven Deep Learning for Correcting Global Climate Model Projections of SST and DSL in the Bay of Bengal
di: Pasula, Abhishek, et al.
Pubblicazione: (2025)

Livestock, Methane and Climate
di: Alexander, D., et al.
Pubblicazione: (2026)

Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications
di: Beucler, Tom, et al.
Pubblicazione: (2024)

Building Ocean Climate Emulators
di: Subel, Adam, et al.
Pubblicazione: (2024)

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

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

Climate Downscaling with Stochastic Interpolants (CDSI)
di: Larsson, Erik, et al.
Pubblicazione: (2026)

Hydrologic Cycle Weakening in Hothouse Climates
di: Liu, Jiachen, et al.
Pubblicazione: (2024)