Imagen de Portada

CAS-Canglong: A skillful 3D Transformer model for sub-seasonal to seasonal global sea surface temperature prediction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Longhao, Zhang, Xuanze, Leung, L. Ruby, Chiew, Francis H. S., AghaKouchak, Amir, Ying, Kairan, Zhang, Yongqiang
Formato:	Preprint
Publicado:	2024
Materias:	Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Multivariate post-processing of probabilistic sub-seasonal weather regime forecasts
por: Mockert, Fabian, et al.
Publicado: (2024)

An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting
por: Weyn, Jonathan A., et al.
Publicado: (2024)

Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data
por: Kent, Chris, et al.
Publicado: (2025)

Questioning whether seasonal advance of intense tropical cyclones since the 1980s truly exists
por: Liu, Jimin, et al.
Publicado: (2024)

A retrospective on the 2025 Atlantic hurricane season
por: Powell, Charles W.
Publicado: (2025)

Uncertainty-permitting machine learning reveals sources of dynamic sea level predictability across daily-to-seasonal timescales
por: Brettin, Andrew, et al.
Publicado: (2025)

Improving sub-seasonal wind-speed forecasts in Europe with a non-linear model
por: Tian, Ganglin, et al.
Publicado: (2024)

Sub-seasonal Modulation and Predictability of Indian monsoon hourly Rainfall Extremes
por: Banerjee, Bijit Kumar, et al.
Publicado: (2026)

A data-driven global ocean forecasting model with sub-daily and eddy-resolving resolution
por: Niu, Yuan, et al.
Publicado: (2025)

Interpreting seasonal and interannual Hadley cell descending edge migrations via the cell-mean Rossby number
por: Hill, Spencer A, et al.
Publicado: (2024)

AI-informed model-analogs for understanding subseasonal-to-seasonal jet stream and North American temperature predictability
por: Landsberg, Jacob B., et al.
Publicado: (2025)

A thermal acid calcification cause for seasonal oscillations in the increasing Keeling curve
por: Kennedy, Ivan R., et al.
Publicado: (2025)

Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration
por: Gooya, Parsa, et al.
Publicado: (2025)

Tropical Pacific SST influence on seasonal streamflow variability in Ecuador
por: Quishpe-Vásquez, et al.
Publicado: (2024)

YingLong-weather: AI-Based Limited Area Models for Forecasting of Non-precipitation Surface Meteorological Variables
por: Xu, Pengbo, et al.
Publicado: (2024)

A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics
por: Sorensen, Benedikt Barthel, et al.
Publicado: (2024)

HiRO-ACE: Fast and skillful AI emulation and downscaling trained on a 3 km global storm-resolving model
por: Perkins, W. Andre, et al.
Publicado: (2025)

Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
por: Gregory, William, et al.
Publicado: (2025)

Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
por: Ni, Zekun, et al.
Publicado: (2025)

Typhoon Tracks Regulated by Feedbacks of Fine-Scale Clouds to Environment
por: Zhao, Haoran, et al.
Publicado: (2025)

Probabilistic reconstruction of global sea surface temperature using generative diffusion models
por: Li, Haijie, et al.
Publicado: (2026)

Improving AI weather prediction models using global mass and energy conservation schemes
por: Sha, Yingkai, et al.
Publicado: (2025)

Forecasting seasonal rainfall in SE Australia using Empirical Orthogonal Functions and Neural Networks
por: Marcelja, Stjepan
Publicado: (2024)

How to derive skill from the Fractions Skill Score
por: Antonio, Bobby, et al.
Publicado: (2023)

Organization of Historical Oceanic Overturnings on Cross-Sphere Climate Signals
por: Jiang, Yingjing, et al.
Publicado: (2025)

Using rare event algorithms to understand the statistics and dynamics of extreme heatwave seasons in South Asia
por: Priol, Clément Le, et al.
Publicado: (2024)

Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal
por: Sabo, Filip, et al.
Publicado: (2024)

State-resolved multimodal contributions to stratospheric polar vortex predictability
por: Yang, Shuo, et al.
Publicado: (2026)

On the all-India rainfall index and sub-India rainfall heterogeneity
por: Hill, Spencer A, et al.
Publicado: (2021)

Ocean neutral transport: sub-Riemannian geometry and hypoelliptic diffusion
por: Chatelain, Matthieu, et al.
Publicado: (2025)

Assessing the potential of state-of-the-art machine learning and physics-informed machine learning in predicting sea surface temperature
por: Sunil, Akshay, et al.
Publicado: (2024)

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

Advancing global aerosol forecasting with artificial intelligence
por: Gui, Ke, et al.
Publicado: (2024)

Assessing submesoscale sea surface height signals from the SWOT mission
por: Zhang, Xihan, et al.
Publicado: (2025)

Machine learning for online sea ice bias correction within global ice-ocean simulations
por: Gregory, William, et al.
Publicado: (2023)

Data-driven ensemble prediction of the global ocean
por: Huang, Qiusheng, et al.
Publicado: (2026)

A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction
por: Liu, Shigan, et al.
Publicado: (2025)

Coupling between sub-mesoscale eddies, internal waves, and turbulence in the deep Mediterranean: A spectral investigation
por: van Haren, Hans
Publicado: (2026)

Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging
por: Husain, Syed Zahid, et al.
Publicado: (2024)

A global unstructured, coupled, high-resolution hindcast of waves and storm surge
por: Mentaschi, Lorenzo, et al.
Publicado: (2023)