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Found 7 papers, 2 papers with code
Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
Data assimilation (DA), as an indispensable component within contemporary Numerical Weather Prediction (NWP) systems, plays a crucial role in generating the analysis that significantly impacts forecast performance.
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
The rapid advancement of artificial intelligence technologies, particularly in recent years, has led to the emergence of several large parameter artificial intelligence weather forecast models.
FuXi-S2S: An accurate machine learning model for global subseasonal forecasts
Skillful subseasonal forecasts beyond 2 weeks are crucial for a wide range of applications across various sectors of society.
Machine Learning Parameterization of the Multi-scale Kain-Fritsch (MSKF) Convection Scheme
The Weather Research and Forecast (WRF) model is used to generate training and testing data over South China at a horizontal resolution of 5 km.
Few-shot Hybrid Domain Adaptation of Image Generators
Concretely, the distance loss blends the attributes of all target domains by reducing the distances from generated images to all target subspaces.
FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model
State-of-the-art ML-based weather forecast models, such as FuXi, have demonstrated superior statistical forecast performance in comparison to the high-resolution forecasts (HRES) of the European Centre for Medium-Range Weather Forecasts (ECMWF).
FuXi: A cascade machine learning forecasting system for 15-day global weather forecast
Over the past few years, due to the rapid development of machine learning (ML) models for weather forecasting, state-of-the-art ML models have shown superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)'s high-resolution forecast (HRES) in 10-day forecasts at a spatial resolution of 0. 25 degree.
