Cover Image

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Yizhen, Zhou, Tian, Jiang, Wanyi, Wu, Bo, Sun, Liang, Jin, Rong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
by: Mouatadid, Soukayna, et al.
Published: (2021)

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

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
by: Orlova, Elena, et al.
Published: (2022)

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

Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction
by: Guan, Hannah, et al.
Published: (2026)

DeepSeasons: a Deep Learning scale-selecting approach to Seasonal Forecasts
by: Navarra, A., et al.
Published: (2025)

Role of Autoconversion Parameterization in Coupled Climate Model for Simulating Monsoon Subseasonal Oscillations
by: Dutta, Ushnanshu, et al.
Published: (2024)

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

Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework
by: Edris, Stuart, et al.
Published: (2026)

Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability?
by: Mayer, Kirsten J., et al.
Published: (2024)

Extending SST Anomaly Forecasts Through Simultaneous Decomposition of Seasonal and PDO Modes
by: Kallummal, Rameshan
Published: (2026)

Climate Downscaling of Tropical Cyclone Intensity using Deep Learning
by: Luong, Minh-Khanh, et al.
Published: (2025)

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

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

A Deep Learning Earth System Model for Efficient Simulation of the Observed Climate
by: Cresswell-Clay, Nathaniel, et al.
Published: (2024)

Deep Learning Reconstruction of Tropical Cyclogenesis in the Western North Pacific from Climate Reanalysis Dataset
by: Le, Duc-Trong, et al.
Published: (2025)

Impact of Forecast Stability on Navigational Contrail Avoidance
by: Dean, Thomas R, et al.
Published: (2025)

The Reality of Climate Change: Evidence, Impacts and Engineering Solutions
by: Lu, Sihua
Published: (2024)

Evaluation of the Real-time El Niño Forecasts by the Climate Network Approach between 2011 and Present
by: Bunde, A., et al.
Published: (2024)

Seasonal Variability of Snow Cover and Impact on Albedo and Thermal Properties in the Antarctic Marginal Ice Zone
by: Tersigni, Ippolita, et al.
Published: (2025)

Improving Post-Processing for Quantitative Precipitation Forecasting Using Deep Learning: Learning Precipitation Physics from High-Resolution Observations
by: Lee, ChangJae, et al.
Published: (2025)

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

Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
by: Lin, Chensen, et al.
Published: (2025)

The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
by: Loveday, Nicholas, et al.
Published: (2024)

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

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

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

Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
by: Zhou, Xiaobing, et al.
Published: (2026)

Seasonal Changes -- Time for Paradigm Shift
by: Lalic, Branislava, et al.
Published: (2025)

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

Predictability of Storms in an Idealized Climate Revealed by Machine Learning
by: Yao, Wuqiushi, et al.
Published: (2025)

Deep Learning Based Monthly Temperature Prediction for Jilin Province: A Multi Model Comparative Study 2000 2026
by: Deng, Xingyue, et al.
Published: (2026)

Towards NoahMP-AI: Enhancing Land Surface Model Prediction with Deep Learning
by: Mbarak, Mahmoud, et al.
Published: (2025)

Quantifying the Influence of Climate on Storm Activity Using Machine Learning
by: Hadas, Or, et al.
Published: (2025)

Learning Climate Sensitivity from Future Observations, Fast and Slow
by: Bauer, Adam Michael, 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)

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

Zeeman: A Deep Learning Regional Atmospheric Chemistry Transport Model
by: Pang, Mijie, et al.
Published: (2025)

Assessing Future Wind Energy Potential under Climate Change: The Critical Role of Multi-Model Ensembles in Robustness Assessment
by: Lira-Loarca, Andrea, et al.
Published: (2025)