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3 days ago · WEATHER-5K dataset consists of a comprehensive collection of data from 5,672 weather stations worldwide, spanning a 10-year period with one-hour intervals. It includes multiple crucial weather elements (temperature, dewpint temperature, wind speed, wind rate, sea level pressure), providing a more reliable and interpretable resource for forecasting.
5 days ago · Figure 1: Aurora is a 1.3 billion parameter foundation model for high-resolution forecasting of weather and atmospheric processes. Aurora is a flexible 3D Swin Transformer with 3D Perceiver-based encoders and decoders. At pretraining time, Aurora is optimized to minimize a loss on multiple heterogeneous datasets with different resolutions ...
May 13, 2024 · This study presents a user-friendly dataset for data-driven medium-range weather forecasting focused on India. The dataset is derived from IMDAA reanalysis datasets and optimized for ML applications. The study provides clear evaluation metrics and a few baseline scores from simple linear regression techniques and deep learning models.
2 days ago · Accurate and rapid weather forecasting and climate modeling are universal goals in human development. While Numerical Weather Prediction (NWP) remains the gold standard, it faces challenges like inherent atmospheric uncertainties and computational costs, especially in the post-Moore era. With the advent of deep learning, the field has been revolutionized through data-driven models. This paper ...
May 24, 2024 · 5.3 Weather-Captioned Dataset. The Weather-Captioned Dataset is designed to overcome the limitations of commonly used datasets in time series forecasting (TSF), especially the lack of predictability and periodicity in variables like rainfall, wind speed, and direction.
2 days ago · Abstract Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results for some applications. The uptake of ML methods could be a game changer for the incremental progress in traditional numerical weather prediction (NWP) known as the “quiet revolution” of weather forecasting. The ...
5 days ago · Our experimental evaluation involves high-scale, real-world benchmark numerical weather datasets, namely the ERA5 hourly dataset on pressure levels and WeatherBench. Our results demonstrate substantial improvements in identifying spatial and temporal correlations, with attention matrices focusing on distinct parts of the input series to model ...
