Data Driven Deep Learning for Correcting Global Climate Model Projections of SST and DSL in the Bay of Bengal
Fuente:
arXiv
Saved in:
| Main Authors: | Pasula, Abhishek, Subramani, Deepak N. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Global Climate Model Bias Correction Using Deep Learning
by: Pasula, Abhishek, et al.
Published: (2025)
by: Pasula, Abhishek, 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)
Towards Physically Consistent Deep Learning For Climate Model Parameterizations
by: Kühbacher, Birgit, et al.
Published: (2024)
by: Kühbacher, Birgit, et al.
Published: (2024)
Hard-Constrained Deep Learning for Climate Downscaling
by: Harder, Paula, et al.
Published: (2022)
by: Harder, Paula, et al.
Published: (2022)
Machine Learning Techniques for Data Reduction of Climate Applications
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
Samudra: An AI Global Ocean Emulator for Climate
by: Dheeshjith, Surya, et al.
Published: (2024)
by: Dheeshjith, Surya, et al.
Published: (2024)
Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models
by: Shmuel, Assaf, et al.
Published: (2024)
by: Shmuel, Assaf, et al.
Published: (2024)
Oya: Deep Learning for Accurate Global Precipitation Estimation
by: Brempong, Emmanuel Asiedu, et al.
Published: (2025)
by: Brempong, Emmanuel Asiedu, et al.
Published: (2025)
Selection of CMIP6 Models for Regional Precipitation Projection and Climate Change Assessment in the Jhelum and Chenab River Basins
by: Jamal, Saad Ahmed, et al.
Published: (2026)
by: Jamal, Saad Ahmed, et al.
Published: (2026)
IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting
by: Putatunda, Rohan, et al.
Published: (2025)
by: Putatunda, Rohan, et al.
Published: (2025)
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)
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)
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)
SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting
by: Zhou, Ziyu, et al.
Published: (2026)
by: Zhou, Ziyu, et al.
Published: (2026)
A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime
by: Schloer, Jakob, et al.
Published: (2024)
by: Schloer, Jakob, et al.
Published: (2024)
CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
by: Liu, Shuchang, et al.
Published: (2025)
by: Liu, Shuchang, et al.
Published: (2025)
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)
Towards Location-Specific Precipitation Projections Using Deep Neural Networks
by: Kumar, Bipin, et al.
Published: (2025)
by: Kumar, Bipin, et al.
Published: (2025)
Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
by: Nath, Pritthijit, et al.
Published: (2026)
by: Nath, Pritthijit, et al.
Published: (2026)
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
by: Andry, Gérôme, et al.
Published: (2025)
by: Andry, Gérôme, et al.
Published: (2025)
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
by: Palma, Lluís, et al.
Published: (2025)
by: Palma, Lluís, et al.
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)
DaYu: Data-Driven Model for Geostationary Satellite Observed Cloud Images Forecasting
by: Wei, Xujun, et al.
Published: (2024)
by: Wei, Xujun, et al.
Published: (2024)
Prithvi WxC: Foundation Model for Weather and Climate
by: Schmude, Johannes, et al.
Published: (2024)
by: Schmude, Johannes, et al.
Published: (2024)
Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile
by: Herrera, Mauricio, et al.
Published: (2025)
by: Herrera, Mauricio, et al.
Published: (2025)
Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation
by: Ji, Weiwen, et al.
Published: (2024)
by: Ji, Weiwen, et al.
Published: (2024)
Machine Learning for Cloud Detection in IASI Measurements: A Data-Driven SVM Approach with Physical Constraints
by: Zugarini, Chiara, et al.
Published: (2025)
by: Zugarini, Chiara, 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 Randomly Wired Neural Networks for Climate Model Emulation
by: Yik, William, et al.
Published: (2022)
by: Yik, William, et al.
Published: (2022)
RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
by: Nath, Pritthijit, et al.
Published: (2024)
by: Nath, Pritthijit, et al.
Published: (2024)
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
by: Orlova, Elena, et al.
Published: (2022)
by: Orlova, Elena, et al.
Published: (2022)
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)
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)
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature
by: Xie, Tian, et al.
Published: (2025)
by: Xie, Tian, 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)
mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations
by: Ma, Yiling, et al.
Published: (2025)
by: Ma, Yiling, et al.
Published: (2025)
DeepSeasons: a Deep Learning scale-selecting approach to Seasonal Forecasts
by: Navarra, A., et al.
Published: (2025)
by: Navarra, A., et al.
Published: (2025)
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
by: Cachay, Salva Rühling, et al.
Published: (2024)
by: Cachay, Salva Rühling, et al.
Published: (2024)
Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
by: Mardani, Morteza, et al.
Published: (2023)
by: Mardani, Morteza, et al.
Published: (2023)
Similar Items
-
Global Climate Model Bias Correction Using Deep Learning
by: Pasula, Abhishek, 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) -
Towards Physically Consistent Deep Learning For Climate Model Parameterizations
by: Kühbacher, Birgit, et al.
Published: (2024) -
Hard-Constrained Deep Learning for Climate Downscaling
by: Harder, Paula, et al.
Published: (2022) -
Machine Learning Techniques for Data Reduction of Climate Applications
by: Li, Xiao, et al.
Published: (2024)