65 citations · 123 across the 7 of their papers we have counts for
7 papers
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting
Lei Chen, Fei Du, Yuan Hu +2
Data-driven medium-range weather forecasting has attracted much attention in recent years. However, the forecasting accuracy at high resolution is unsatisfactory currently. Pursuin…
FuXi: A cascade machine learning forecasting system for 15-day global weather forecast
Lei Chen, Xiaohui Zhong, Feng Zhang +4
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 t…
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation
Yuan Hu, Lei Chen, Zhibin Wang +1
Data-driven approaches for medium-range weather forecasting are recently shown extraordinarily promising for ensemble forecasting for their fast inference speed compared to traditi…
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
Jiabao Jin, Peng Cheng, Lei Chen +2
With the development of traffic prediction technology, spatiotemporal prediction models have attracted more and more attention from academia communities and industry. However, most…
STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation
Yiqun Liu, Shouzhen Chen, Lei Chen +4
Numerical Weather Prediction (NWP) can reduce human suffering by predicting disastrous precipitation in time. A commonly-used NWP in the world is the European Centre for medium-ran…
Towards a Precipitation Bias Corrector against Noise and Maldistribution
Xiaoyang Xu, Yiqun Liu, Hanqing Chao +5
With broad applications in various public services like aviation management and urban disaster warning, numerical precipitation prediction plays a crucial role in weather forecast.…