Copertina

PEAR: Equal Area Weather Forecasting on the Sphere

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Linander, Hampus, Tykesson, Tage, Rosso, Pietro, Petersson, Christoffer, Persson, Daniel, Gerken, Jan E.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Atmospheric and Oceanic Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

StretchCast: Global-Regional AI Weather Forecasting on Stretched Cubed-Sphere Mesh
di: Feng, Jin
Pubblicazione: (2026)

Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion
di: Larsson, Erik, et al.
Pubblicazione: (2025)

Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings
di: Adamov, Simon, et al.
Pubblicazione: (2025)

Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
di: Feik, Moritz, et al.
Pubblicazione: (2024)

Super Resolution On Global Weather Forecasts
di: Zhang, Lawrence, et al.
Pubblicazione: (2024)

OneForecast: A Universal Framework for Global and Regional Weather Forecasting
di: Gao, Yuan, et al.
Pubblicazione: (2025)

Continuous Ensemble Weather Forecasting with Diffusion models
di: Andrae, Martin, et al.
Pubblicazione: (2024)

Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data
di: Yang, Qidong, et al.
Pubblicazione: (2024)

Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training
di: Bailie, Thomas, et al.
Pubblicazione: (2025)

S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
di: Chen, Hongyi, et al.
Pubblicazione: (2025)

Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
di: Leinonen, Jussi, et al.
Pubblicazione: (2024)

Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks
di: Höhlein, Kevin, et al.
Pubblicazione: (2023)

Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
di: Pereira, Carlos A., et al.
Pubblicazione: (2026)

VarteX: Enhancing Weather Forecast through Distributed Variable Representation
di: Ueyama, Ayumu, et al.
Pubblicazione: (2024)

MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model
di: Qin, Haoyu, et al.
Pubblicazione: (2024)

YanTian: An Application Platform for AI Global Weather Forecasting Models
di: Cheng, Wencong, et al.
Pubblicazione: (2024)

Data-driven Mesoscale Weather Forecasting Combining Swin-Unet and Diffusion Models
di: Hirabayashi, Yuta, et al.
Pubblicazione: (2025)

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
di: Chen, Hao, et al.
Pubblicazione: (2024)

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

Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
di: Mahesh, Ankur, et al.
Pubblicazione: (2024)

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK
di: Wang, Wenqi, et al.
Pubblicazione: (2024)

OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations
di: Zhao, Pengcheng, et al.
Pubblicazione: (2024)

Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models
di: DeMaria, Mark, et al.
Pubblicazione: (2024)

Exploring the Use of Machine Learning Weather Models in Data Assimilation
di: Tian, Xiaoxu, et al.
Pubblicazione: (2024)

WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models
di: Jin, Weixin, et al.
Pubblicazione: (2024)

WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer
di: Gong, Junchao, et al.
Pubblicazione: (2024)

Prithvi WxC: Foundation Model for Weather and Climate
di: Schmude, Johannes, et al.
Pubblicazione: (2024)

Weather Prediction with Diffusion Guided by Realistic Forecast Processes
di: Hua, Zhanxiang, et al.
Pubblicazione: (2024)

IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India
di: Nguyen, Tung, et al.
Pubblicazione: (2025)

Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
di: Hua, Zhanxiang, et al.
Pubblicazione: (2025)

Regional Ocean Forecasting with Hierarchical Graph Neural Networks
di: Holmberg, Daniel, et al.
Pubblicazione: (2024)

A Practical Probabilistic Benchmark for AI Weather Models
di: Brenowitz, Noah D., et al.
Pubblicazione: (2024)

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
di: Chen, Hao, et al.
Pubblicazione: (2025)

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting
di: Xiang, Yanfei, et al.
Pubblicazione: (2024)

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
di: Nath, Pritthijit, et al.
Pubblicazione: (2024)

CNN-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction
di: Inoue, Takuya, et al.
Pubblicazione: (2025)

Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years
di: Hao, Rixu, et al.
Pubblicazione: (2025)

Attention-Enhanced Convolutional Autoencoder and Structured Delay Embeddings for Weather Prediction
di: Hedayat, Amirpasha, et al.
Pubblicazione: (2025)

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
di: Karlbauer, Matthias, et al.
Pubblicazione: (2023)

UT-GraphCast Hindcast Dataset: A Global AI Forecast Archive from UT Austin for Weather and Climate Applications
di: Sudharsan, Naveen, et al.
Pubblicazione: (2025)