Copertina

The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Bosong, Merlis, Timothy M.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Atmospheric and Oceanic Physics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Remote Influences of Land Surface Temperature and their Implications for Sea Surface Temperature Patterns
di: Zhang, Bosong, et al.
Pubblicazione: (2026)

Perturbing the surface energy balance to emulate the historical pattern of tropical Pacific sea surface temperature trends
di: Merlis, Timothy M.
Pubblicazione: (2025)

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

A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region
di: Quayesam, Dennis, et al.
Pubblicazione: (2024)

TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures
di: Balogun, Emmanuel, et al.
Pubblicazione: (2023)

Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
di: Wang, Chenggong, et al.
Pubblicazione: (2024)

SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
di: Jiang, Zheng, et al.
Pubblicazione: (2025)

Atmospheric Predictability Beyond 30 Days with Machine Learning
di: Vonich, P. Trent, et al.
Pubblicazione: (2025)

A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature
di: Xie, Tian, et al.
Pubblicazione: (2025)

Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework
di: Fernandez, M. A., et al.
Pubblicazione: (2025)

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
di: Zhang, Yihe, et al.
Pubblicazione: (2024)

Diving Deep: Forecasting Sea Surface Temperatures and Anomalies
di: Ning, Ding, et al.
Pubblicazione: (2025)

Site-specific Deterministic Temperature and Humidity Forecasts with Explainable and Reliable Machine Learning
di: Han, MengMeng, et al.
Pubblicazione: (2024)

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators
di: Mahesh, Ankur, et al.
Pubblicazione: (2026)

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

CAAL: Confidence-Aware Active Learning for Heteroscedastic Atmospheric Regression
di: Jiang, Fei, et al.
Pubblicazione: (2026)

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

Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
di: Mardani, Morteza, et al.
Pubblicazione: (2023)

Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming
di: Zheng, Tianmu, et al.
Pubblicazione: (2025)

Machine Learning Reveals Large-scale Impact of Posidonia Oceanica on Mediterranean Sea Water
di: Trois, Celio, et al.
Pubblicazione: (2024)

Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models
di: Erfani, Seyed Mohammad Hassan, et al.
Pubblicazione: (2025)

Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features
di: Chajaei, Fatemeh, et al.
Pubblicazione: (2024)

Machine Learning for Stochastic Parametrisation
di: Christensen, Hannah M., et al.
Pubblicazione: (2024)

Prediction Beyond the Medium Range with an Atmosphere-Ocean Model that Combines Physics-based Modeling and Machine Learning
di: Patel, Dhruvit, et al.
Pubblicazione: (2024)

Exploring the Use of Machine Learning Weather Models in Data Assimilation
di: Tian, Xiaoxu, et al.
Pubblicazione: (2024)

Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
di: Howard, Lucas, et al.
Pubblicazione: (2025)

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

SEA-ViT: Sea Surface Currents Forecasting Using Vision Transformer and GRU-Based Spatio-Temporal Covariance Modeling
di: Panboonyuen, Teerapong
Pubblicazione: (2024)

CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
di: Liu, Shuchang, et al.
Pubblicazione: (2025)

Geographic Transferability of Machine Learning Models for Short-Term Airport Fog Forecasting
di: Castillo, Marcelo Cerda
Pubblicazione: (2025)

Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models
di: Ullrich, Paul A., et al.
Pubblicazione: (2024)

High-Resolution Global Land Surface Temperature Retrieval via a Coupled Mechanism-Machine Learning Framework
di: Xie, Tian, et al.
Pubblicazione: (2025)

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
di: Sun, Jing-An, et al.
Pubblicazione: (2025)

Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves
di: Gupta, Aman, et al.
Pubblicazione: (2025)

AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion
di: Luitel, Somnath, et al.
Pubblicazione: (2026)

Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings
di: Adamov, Simon, et al.
Pubblicazione: (2025)

Symmetric and antisymmetric components of polar-amplified warming
di: Hill, Spencer A., et al.
Pubblicazione: (2020)

Physics Guided Machine Learning Methods for Hydrology
di: Khandelwal, Ankush, et al.
Pubblicazione: (2020)

CloudSense: A Model for Cloud Type Identification using Machine Learning from Radar data
di: Nizar, Mehzooz, et al.
Pubblicazione: (2024)

Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
di: Lovo, Alessandro, et al.
Pubblicazione: (2024)