Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Fan, Gao, Yuan, Wang, Kun, Su, Rui, Ling, Fenghua, Wu, Hao, Ouyang, Wanli |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
by: Xu, Wanghan, et al.
Published: (2024)
by: Xu, Wanghan, et al.
Published: (2024)
OneForecast: A Universal Framework for Global and Regional Weather Forecasting
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
by: Xu, Wanghan, et al.
Published: (2024)
by: Xu, Wanghan, et al.
Published: (2024)
FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
by: Han, Tao, et al.
Published: (2024)
by: Han, Tao, et al.
Published: (2024)
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
by: Chen, Kang, et al.
Published: (2023)
by: Chen, Kang, et al.
Published: (2023)
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
by: Ling, Fenghua, et al.
Published: (2024)
by: Ling, Fenghua, et al.
Published: (2024)
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
by: Oskarsson, Joel, et al.
Published: (2024)
by: Oskarsson, Joel, et al.
Published: (2024)
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution
by: Tu, Siwei, et al.
Published: (2025)
by: Tu, Siwei, et al.
Published: (2025)
FlowCast-ODE: Continuous Hourly Weather Forecasting with Dynamic Flow Matching and ODE Solver
by: He, Shuangshuang, et al.
Published: (2025)
by: He, Shuangshuang, et al.
Published: (2025)
RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges
by: Li, Ruize, et al.
Published: (2026)
by: Li, Ruize, et al.
Published: (2026)
Differential-Integral Neural Operator for Long-Term Turbulence Forecasting
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
by: Fan, Wei, et al.
Published: (2024)
by: Fan, Wei, et al.
Published: (2024)
FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation
by: Xiao, Yi, et al.
Published: (2023)
by: Xiao, Yi, et al.
Published: (2023)
FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere
by: Ling, Fenghua, et al.
Published: (2024)
by: Ling, Fenghua, et al.
Published: (2024)
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
by: Kossaifi, Jean, et al.
Published: (2026)
by: Kossaifi, Jean, et al.
Published: (2026)
Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles
by: Bruninx, Max, et al.
Published: (2026)
by: Bruninx, Max, et al.
Published: (2026)
One-Step Flow Policy Mirror Descent
by: Chen, Tianyi, et al.
Published: (2025)
by: Chen, Tianyi, et al.
Published: (2025)
Probabilistic Forecasting via Autoregressive Flow Matching
by: ElGazzar, Ahmed, et al.
Published: (2025)
by: ElGazzar, Ahmed, et al.
Published: (2025)
Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion
by: Larsson, Erik, et al.
Published: (2025)
by: Larsson, Erik, et al.
Published: (2025)
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024)
by: Zhang, Hanyu, et al.
Published: (2024)
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
by: Cachay, Salva Rühling, et al.
Published: (2026)
by: Cachay, Salva Rühling, et al.
Published: (2026)
SoFlow: Solution Flow Models for One-Step Generative Modeling
by: Luo, Tianze, et al.
Published: (2025)
by: Luo, Tianze, et al.
Published: (2025)
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
by: Wei, Jiawen, et al.
Published: (2025)
by: Wei, Jiawen, et al.
Published: (2025)
One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
by: Gao, Mengzhou, et al.
Published: (2026)
by: Gao, Mengzhou, et al.
Published: (2026)
Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting
by: Stock, Jason, et al.
Published: (2025)
by: Stock, Jason, et al.
Published: (2025)
Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step Sampling
by: Yuan, Yidi
Published: (2026)
by: Yuan, Yidi
Published: (2026)
Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting
by: Dodson, Archer, et al.
Published: (2025)
by: Dodson, Archer, et al.
Published: (2025)
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
by: Cai, Wanlin, et al.
Published: (2024)
by: Cai, Wanlin, et al.
Published: (2024)
Towards an end-to-end artificial intelligence driven global weather forecasting system
by: Chen, Kun, et al.
Published: (2023)
by: Chen, Kun, et al.
Published: (2023)
Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching
by: Kuzhamuratov, Arsen, et al.
Published: (2026)
by: Kuzhamuratov, Arsen, et al.
Published: (2026)
Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
by: Gong, Junchao, et al.
Published: (2025)
by: Gong, Junchao, et al.
Published: (2025)
Riemannian MeanFlow for One-Step Generation on Manifolds
by: Zhong, Zichen, et al.
Published: (2026)
by: Zhong, Zichen, et al.
Published: (2026)
One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow
by: Jutras-Dube, Pascal, et al.
Published: (2025)
by: Jutras-Dube, Pascal, et al.
Published: (2025)
One Step Learning, One Step Review
by: Huang, Xiaolong, et al.
Published: (2024)
by: Huang, Xiaolong, et al.
Published: (2024)
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
by: Wang, Weiyan, et al.
Published: (2025)
by: Wang, Weiyan, et al.
Published: (2025)
Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates
by: Iele, Irene, et al.
Published: (2026)
by: Iele, Irene, et al.
Published: (2026)
Probabilistic Forecasting of Localized Wildfire Spread Based on Conditional Flow Matching
by: Shaddy, Bryan, et al.
Published: (2026)
by: Shaddy, Bryan, et al.
Published: (2026)
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
by: Tian, Jindong, et al.
Published: (2025)
by: Tian, Jindong, et al.
Published: (2025)
Similar Items
-
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
by: Xu, Wanghan, et al.
Published: (2024) -
OneForecast: A Universal Framework for Global and Regional Weather Forecasting
by: Gao, Yuan, et al.
Published: (2025) -
ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
by: Xu, Wanghan, et al.
Published: (2024) -
FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
by: Han, Tao, et al.
Published: (2024) -
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
by: Chen, Kang, et al.
Published: (2023)