10 citations · 19 across the 6 of their papers we have counts for
6 papers
MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
Xu Fan, Zhihao Wang, Yuetan Lin +3
Air pollutants pose a significant threat to the environment and human health, thus forecasting accurate pollutant concentrations is essential for pollution warnings and policy-maki…
FuXi-Air: Urban Air Quality Forecasting Based on Emission-Meteorology-Pollutant multimodal Machine Learning
Zhixin Geng, Xu Fan, Xiqiao Lu +9
Air pollution has emerged as a major public health challenge in megacities. Numerical simulations and single-site machine learning approaches have been widely applied in air qualit…
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
Qiusheng Huang, Xiaohui Zhong, Xu Fan +2
Similar to conventional video generation, current deep learning-based weather prediction frameworks often lack explicit physical constraints, leading to unphysical outputs that lim…
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling
Xu Fan, Yuetan Lin, Bing Gong +1
Air pollution has become a major threat to human health, making accurate forecasting crucial for pollution control. Traditional physics-based models forecast global air pollution b…
FuXi-2.0: Advancing machine learning weather forecasting model for practical applications
Xiaohui Zhong, Lei Chen, Xu Fan +3
Machine learning (ML) models have become increasingly valuable in weather forecasting, providing forecasts that not only lower computational costs but often match or exceed the acc…
FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
Xiaohui Zhong, Lei Chen, Hao Li +7
Ensemble forecasting is crucial for improving weather predictions, especially for forecasts of extreme events. Constructing an ensemble prediction system (EPS) based on conventiona…