:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Schuler, Tristan K., Prasad, Chinthan, Kiselev, Georgiy, Sofge, Donald
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Robotics Atmospheric and Oceanic Physics
Accès en ligne:	https://arxiv.org/abs/2502.05014
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DeepSeasons: a Deep Learning scale-selecting approach to Seasonal Forecasts
par: Navarra, A., et autres
Publié: (2025)

Using reinforcement learning to improve drone-based inference of greenhouse gas fluxes
par: van Hove, Alouette, et autres
Publié: (2024)

DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting
par: Shukla, Pratik, et autres
Publié: (2024)

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
par: Guo, Yizhen, et autres
Publié: (2024)

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
par: Karlbauer, Matthias, et autres
Publié: (2023)

An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
par: Agrawal, Shreya, et autres
Publié: (2025)

Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
par: Pasche, Olivier C., et autres
Publié: (2024)

Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
par: Nath, Pritthijit, et autres
Publié: (2026)

Geographic Transferability of Machine Learning Models for Short-Term Airport Fog Forecasting
par: Castillo, Marcelo Cerda
Publié: (2025)

Towards Real-Time Interpolation for Enhanced AUV Deep Sea Mapping
par: Saxena, Devanshu
Publié: (2025)

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
par: Gao, Yuan, et autres
Publié: (2025)

Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
par: Palma, Lluís, et autres
Publié: (2025)

Modeling Snow on Sea Ice using Physics Guided Machine Learning
par: Prasad, Ayush, et autres
Publié: (2024)

SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting
par: Zhou, Ziyu, et autres
Publié: (2026)

Hard-Constrained Deep Learning for Climate Downscaling
par: Harder, Paula, et autres
Publié: (2022)

Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
par: Zhang, Gan, et autres
Publié: (2025)

Deep Learning Models for Flood Predictions in South Florida
par: Shi, Jimeng, et autres
Publié: (2023)

Oya: Deep Learning for Accurate Global Precipitation Estimation
par: Brempong, Emmanuel Asiedu, et autres
Publié: (2025)

STAA: Spatio-Temporal Alignment Attention for Short-Term Precipitation Forecasting
par: Chen, Min, et autres
Publié: (2024)

Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach
par: Ning, Ding, et autres
Publié: (2024)

Towards Physically Consistent Deep Learning For Climate Model Parameterizations
par: Kühbacher, Birgit, et autres
Publié: (2024)

Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation
par: Ji, Weiwen, et autres
Publié: (2024)

A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data
par: Veillette, Mark S., et autres
Publié: (2024)

CloudSense: A Model for Cloud Type Identification using Machine Learning from Radar data
par: Nizar, Mehzooz, et autres
Publié: (2024)

IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting
par: Putatunda, Rohan, et autres
Publié: (2025)

WindDragon: Enhancing wind power forecasting with Automated Deep Learning
par: Keisler, Julie, et autres
Publié: (2024)

Seasonal forecasting using the GenCast probabilistic machine learning model
par: Antonio, Bobby, et autres
Publié: (2025)

Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts
par: Toride, Kinya, et autres
Publié: (2024)

Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening
par: Kurchaba, Solomiia, et autres
Publié: (2026)

The Design and Performance of Meteorological Sensors for WindBorne Global Sounding Balloons
par: Spisak, Jake, et autres
Publié: (2026)

Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years
par: Hao, Rixu, et autres
Publié: (2025)

A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime
par: Schloer, Jakob, et autres
Publié: (2024)

Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
par: Xu, Xiaoze, et autres
Publié: (2024)

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

Data Driven Deep Learning for Correcting Global Climate Model Projections of SST and DSL in the Bay of Bengal
par: Pasula, Abhishek, et autres
Publié: (2025)

Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning
par: Tazi, Kenza, et autres
Publié: (2025)

An Eclipse-Ballooning Study of Shadow Bands During the April 2024 Total Eclipse
par: Deskevich, Giana, et autres
Publié: (2026)

A Physically Driven Long Short Term Memory Model for Estimating Snow Water Equivalent over the Continental United States
par: Saranathan, Arun M., et autres
Publié: (2025)

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

Climate Downscaling of Tropical Cyclone Intensity using Deep Learning
par: Luong, Minh-Khanh, et autres
Publié: (2025)