Copertina

DeepSeasons: a Deep Learning scale-selecting approach to Seasonal Forecasts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Navarra, A., Navarra, G. G.
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

DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting
di: Shukla, Pratik, et al.
Pubblicazione: (2024)

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
di: Guo, Yizhen, et al.
Pubblicazione: (2024)

SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting
di: Zhou, Ziyu, et al.
Pubblicazione: (2026)

Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement Learning
di: Schuler, Tristan K., et al.
Pubblicazione: (2025)

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

Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach
di: Ning, Ding, et al.
Pubblicazione: (2024)

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
di: Gao, Yuan, et al.
Pubblicazione: (2025)

IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting
di: Putatunda, Rohan, et al.
Pubblicazione: (2025)

Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts
di: Toride, Kinya, et al.
Pubblicazione: (2024)

Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
di: Pasche, Olivier C., et al.
Pubblicazione: (2024)

Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
di: Zhang, Gan, et al.
Pubblicazione: (2025)

Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model
di: Mu, Bin, et al.
Pubblicazione: (2025)

Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields
di: Nag, Pratik, et al.
Pubblicazione: (2023)

MMWSTM-ADRAN+: A Novel Hybrid Deep Learning Architecture for Enhanced Climate Time Series Forecasting and Extreme Event Prediction
di: Ahmed, Shaheen Mohammed Saleh, et al.
Pubblicazione: (2025)

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

Hard-Constrained Deep Learning for Climate Downscaling
di: Harder, Paula, et al.
Pubblicazione: (2022)

Oya: Deep Learning for Accurate Global Precipitation Estimation
di: Brempong, Emmanuel Asiedu, et al.
Pubblicazione: (2025)

Deep Learning Models for Flood Predictions in South Florida
di: Shi, Jimeng, et al.
Pubblicazione: (2023)

Ocean Wave Forecasting with Deep Learning as Alternative to Conventional Models
di: Zhang, Ziliang, et al.
Pubblicazione: (2024)

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
di: Karlbauer, Matthias, et al.
Pubblicazione: (2023)

Towards Physically Consistent Deep Learning For Climate Model Parameterizations
di: Kühbacher, Birgit, et al.
Pubblicazione: (2024)

Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation
di: Ji, Weiwen, et al.
Pubblicazione: (2024)

Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction
di: Guo, Zijie, et al.
Pubblicazione: (2024)

WindDragon: Enhancing wind power forecasting with Automated Deep Learning
di: Keisler, Julie, et al.
Pubblicazione: (2024)

An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
di: Agrawal, Shreya, et al.
Pubblicazione: (2025)

Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening
di: Kurchaba, Solomiia, et al.
Pubblicazione: (2026)

Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years
di: Hao, Rixu, et al.
Pubblicazione: (2025)

A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime
di: Schloer, Jakob, et al.
Pubblicazione: (2024)

Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
di: Xu, Xiaoze, et al.
Pubblicazione: (2024)

Extending SST Anomaly Forecasts Through Simultaneous Decomposition of Seasonal and PDO Modes
di: Kallummal, Rameshan
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)

Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
di: González-Abad, Jose, et al.
Pubblicazione: (2024)

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System
di: Cuervo-Londoño, Giovanny A., et al.
Pubblicazione: (2025)

Difference Learning for Air Quality Forecasting Transport Emulation
di: Chen, Reed River, et al.
Pubblicazione: (2024)

Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
di: Pereira, Carlos A., et al.
Pubblicazione: (2026)

Probabilistic Seasonal Streamflow Forecasting Across California's Sierra Nevada Watersheds with Agentic AI
di: Lopez-Gomez, Ignacio, et al.
Pubblicazione: (2026)

Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1
di: Balogh, Blanka, et al.
Pubblicazione: (2024)

Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models
di: Willard, Jared D., et al.
Pubblicazione: (2024)

Towards Location-Specific Precipitation Projections Using Deep Neural Networks
di: Kumar, Bipin, et al.
Pubblicazione: (2025)

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