Copertina

Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Munir, Muhammad Akhtar, Khan, Fahad Shahbaz, Khan, Salman
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Atmospheric and Oceanic Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System
di: Cuervo-Londoño, Giovanny A., et al.
Pubblicazione: (2025)

U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
di: Cachay, Salva Rühling, et al.
Pubblicazione: (2026)

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

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

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

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

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

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
di: Han, Tao, et al.
Pubblicazione: (2024)

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
di: Chen, Kang, et al.
Pubblicazione: (2023)

PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
di: Zhu, Shengchen, et al.
Pubblicazione: (2024)

Searth Transformer: A Transformer Architecture Incorporating Earth's Geospheric Physical Priors for Global Mid-Range Weather Forecasting
di: Li, Tianye, et al.
Pubblicazione: (2026)

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
di: Verma, Yogesh, et al.
Pubblicazione: (2024)

FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation
di: Xiao, Yi, et al.
Pubblicazione: (2023)

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges
di: Li, Ruize, et al.
Pubblicazione: (2026)

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
di: Zhang, Yihe, et al.
Pubblicazione: (2024)

Turning Up the Heat: Assessing 2-m Temperature Forecast Errors in AI Weather Prediction Models During Heat Waves
di: Ennis, Kelsey E., et al.
Pubblicazione: (2025)

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

CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks
di: Jeon, Hyeon-Ju, et al.
Pubblicazione: (2024)

Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
di: Ling, Fenghua, et al.
Pubblicazione: (2024)

Zephyrus: An Agentic Framework for Weather Science
di: Varambally, Sumanth, et al.
Pubblicazione: (2025)

CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting
di: Li, Haobo, et al.
Pubblicazione: (2024)

Interpretable Machine Learning for Weather and Climate Prediction: A Survey
di: Yang, Ruyi, et al.
Pubblicazione: (2024)

WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling
di: Aich, Michael, et al.
Pubblicazione: (2026)

AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts
di: Wen, Yingpeng, et al.
Pubblicazione: (2023)

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality
di: Mozaffari, Amirpasha, et al.
Pubblicazione: (2026)

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

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
di: Gong, Junchao, et al.
Pubblicazione: (2025)

The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline
di: Garg, Piyush, et al.
Pubblicazione: (2026)

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

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
di: Li, Wenyuan, et al.
Pubblicazione: (2024)

MoWE : A Mixture of Weather Experts
di: Chakraborty, Dibyajyoti, et al.
Pubblicazione: (2025)

FuXiWeather2: Learning accurate atmospheric state estimation for operational global weather forecasting
di: Xu, Xiaoze, et al.
Pubblicazione: (2026)

KARINA: An Efficient Deep Learning Model for Global Weather Forecast
di: Cheon, Minjong, et al.
Pubblicazione: (2024)

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)

Advanced Torrential Loss Function for Precipitation Forecasting
di: Choi, Jaeho, et al.
Pubblicazione: (2025)

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

On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
di: Fu, Yisong, et al.
Pubblicazione: (2024)