A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime
Fuente:
arXiv
Saved in:
| Main Authors: | Schloer, Jakob, Newman, Matthew, Thuemmel, Jannik, Capotondi, Antonietta, Goswami, Bedartha |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO Variance
by: Schlör, Jakob, et al.
Published: (2023)
by: Schlör, Jakob, et al.
Published: (2023)
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts
by: Toride, Kinya, et al.
Published: (2024)
by: Toride, Kinya, et al.
Published: (2024)
Inductive biases in deep learning models for weather prediction
by: Thuemmel, Jannik, et al.
Published: (2023)
by: Thuemmel, Jannik, et al.
Published: (2023)
El Nino Southern Oscillation and Atlantic Multidecadal Oscillation Impact on Hurricanes North Atlantic Basin
by: Basineni, Suchit
Published: (2024)
by: Basineni, Suchit
Published: (2024)
Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter
by: Jinno, Takuya, et al.
Published: (2025)
by: Jinno, Takuya, et al.
Published: (2025)
Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction
by: Guo, Zijie, et al.
Published: (2024)
by: Guo, Zijie, et al.
Published: (2024)
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
by: Pasche, Olivier C., et al.
Published: (2024)
by: Pasche, Olivier C., et al.
Published: (2024)
Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction
by: Guan, Hannah, et al.
Published: (2026)
by: Guan, Hannah, et al.
Published: (2026)
AI-informed model-analogs for understanding subseasonal-to-seasonal jet stream and North American temperature predictability
by: Landsberg, Jacob B., et al.
Published: (2025)
by: Landsberg, Jacob B., et al.
Published: (2025)
Intraseasonal synchronization of extreme rainfalls between North India and the Sahel
by: Strnad, Felix, et al.
Published: (2024)
by: Strnad, Felix, et al.
Published: (2024)
Rotational and Irrotational Wind Forcing as dual drivers of El Nino Southern Oscillation variability
by: Borzelli, Gian Luca Eusebi, et al.
Published: (2025)
by: Borzelli, Gian Luca Eusebi, et al.
Published: (2025)
Data Driven Deep Learning for Correcting Global Climate Model Projections of SST and DSL in the Bay of Bengal
by: Pasula, Abhishek, et al.
Published: (2025)
by: Pasula, Abhishek, et al.
Published: (2025)
Physics-Informed Lightweight Machine Learning for Aviation Visibility Nowcasting Across Multiple Climatic Regimes
by: Castillo, Marcelo Cerda
Published: (2025)
by: Castillo, Marcelo Cerda
Published: (2025)
Deep Learning Models for Flood Predictions in South Florida
by: Shi, Jimeng, et al.
Published: (2023)
by: Shi, Jimeng, et al.
Published: (2023)
Towards Physically Consistent Deep Learning For Climate Model Parameterizations
by: Kühbacher, Birgit, et al.
Published: (2024)
by: Kühbacher, Birgit, et al.
Published: (2024)
Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation
by: Ji, Weiwen, et al.
Published: (2024)
by: Ji, Weiwen, 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)
by: Ahmed, Shaheen Mohammed Saleh, et al.
Published: (2025)
Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
by: Xu, Xiaoze, et al.
Published: (2024)
by: Xu, Xiaoze, et al.
Published: (2024)
Exploring the Use of Machine Learning Weather Models in Data Assimilation
by: Tian, Xiaoxu, et al.
Published: (2024)
by: Tian, Xiaoxu, et al.
Published: (2024)
Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening
by: Kurchaba, Solomiia, et al.
Published: (2026)
by: Kurchaba, Solomiia, et al.
Published: (2026)
DeepSeasons: a Deep Learning scale-selecting approach to Seasonal Forecasts
by: Navarra, A., et al.
Published: (2025)
by: Navarra, A., et al.
Published: (2025)
Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification
by: Fan, Hang, et al.
Published: (2026)
by: Fan, Hang, et al.
Published: (2026)
Hard-Constrained Deep Learning for Climate Downscaling
by: Harder, Paula, et al.
Published: (2022)
by: Harder, Paula, et al.
Published: (2022)
Oya: Deep Learning for Accurate Global Precipitation Estimation
by: Brempong, Emmanuel Asiedu, et al.
Published: (2025)
by: Brempong, Emmanuel Asiedu, et al.
Published: (2025)
Do Tensorized Large-Scale Spatiotemporal Dynamic Atmospheric Data Exhibit Low-Rank Properties?
by: Solgi, Ryan, et al.
Published: (2025)
by: Solgi, Ryan, et al.
Published: (2025)
Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach
by: Ning, Ding, et al.
Published: (2024)
by: Ning, Ding, et al.
Published: (2024)
IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting
by: Putatunda, Rohan, et al.
Published: (2025)
by: Putatunda, Rohan, et al.
Published: (2025)
WindDragon: Enhancing wind power forecasting with Automated Deep Learning
by: Keisler, Julie, et al.
Published: (2024)
by: Keisler, Julie, et al.
Published: (2024)
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
by: Karlbauer, Matthias, et al.
Published: (2023)
by: Karlbauer, Matthias, et al.
Published: (2023)
An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
by: Agrawal, Shreya, et al.
Published: (2025)
by: Agrawal, Shreya, et al.
Published: (2025)
Global Climate Model Bias Correction Using Deep Learning
by: Pasula, Abhishek, et al.
Published: (2025)
by: Pasula, Abhishek, et al.
Published: (2025)
Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
by: Zhang, Gan, et al.
Published: (2025)
by: Zhang, Gan, et al.
Published: (2025)
Machine Learning Techniques for Data Reduction of Climate Applications
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years
by: Hao, Rixu, et al.
Published: (2025)
by: Hao, Rixu, et al.
Published: (2025)
Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning
by: Ferretti, Savannah L., et al.
Published: (2026)
by: Ferretti, Savannah L., et al.
Published: (2026)
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs
by: Akazan, Ange-Clement, et al.
Published: (2025)
by: Akazan, Ange-Clement, et al.
Published: (2025)
Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
by: González-Abad, Jose, et al.
Published: (2024)
by: González-Abad, Jose, et al.
Published: (2024)
M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data
by: Nichol, J. Jake, et al.
Published: (2026)
by: Nichol, J. Jake, et al.
Published: (2026)
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting
by: Shukla, Pratik, et al.
Published: (2024)
by: Shukla, Pratik, et al.
Published: (2024)
Knowledge-guided machine learning for disentangling Pacific sea surface temperature variability across timescales
by: Hall, Kyle J. C., et al.
Published: (2025)
by: Hall, Kyle J. C., et al.
Published: (2025)
Similar Items
-
Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO Variance
by: Schlör, Jakob, et al.
Published: (2023) -
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts
by: Toride, Kinya, et al.
Published: (2024) -
Inductive biases in deep learning models for weather prediction
by: Thuemmel, Jannik, et al.
Published: (2023) -
El Nino Southern Oscillation and Atlantic Multidecadal Oscillation Impact on Hurricanes North Atlantic Basin
by: Basineni, Suchit
Published: (2024) -
Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter
by: Jinno, Takuya, et al.
Published: (2025)