Aug 2026· Journal of Meteorological Research· Vol 40, pp. 1120 - 1136· 0 citations· 26 references
TL;DR
The complete end-to-end system of FengYuan achieves forecast quality very close to the reanalysis-driven version while consistently outperforming IFS throughout the 10-day forecast period, demonstrating that FengYuan successfully bridges observations to forecasts while maintaining high accuracy.
Accurate cloud-cover forecasts are important for temperature prediction, radiation forecasting, and solar-power operations. Short-range forecasting methods can preserve observed cloud placement during the first forecast hours, but their skill decreases when cloud fields evolve through formation, dissipation and deforma...
Mikko Partio, Leila Hieta, Ossi Laine· 0 citations
This paper investigates the performance of a unique proof-of-concept hybrid model in a cycling data assimilation scheme. This previously published model combines the Simplified Parameterization, primitive-Equation Dynamics model (SPEEDY) with an ML-based component that itself is capable of modeling the global atmosph...
D. Elliott, Troy Arcomano, I. Szunyogh et al.· Monthly Weather Review· 0 citations
Ocean forecasting is crucial for both scientific research and societal benefits. Large artificial intelligence (AI)-based models have recently boosted forecasting efficiency and accuracy. However, it remains challenging to develop a comprehensive AI-driven ocean forecasting system capable of integrating cross-spatiotem...
Nan Yang, Chong Wang, Zi-Meng Zhao et al.· Science Bulletin· 1 citation
PREVENIR—Forecast and Warning of Flash Flood Events is an Argentina-Japan cooperation project for five years from 2022 that aims to develop an early warning system for heavy rainfall and urban floods. The current operational numerical weather prediction system of the Argentine National Meteorological Service consists o...
M. E. Dillon, A. Amemiya, P. Maldonado et al.· Journal of the Meteorologica...· 0 citations
The results show that the threat score for hourly precipitation is generally improved in the forecasts updated by URDA relative to the pre-existing baseline forecasts, through the ensemble-based error covariance.
Fumitoshi Kawasaki, K. Kurosawa, Atsushi Okazaki et al.· 0 citations
RainCast is proposed, a high-resolution framework for hourly precipitation forecasting over China up to 72 hours ahead at 0.05° resolution that incorporates a physics-guided feature extractor and a multi-head output design that supports both deterministic forecasts with a regression head and probabilistic multi-member...
Guanlong Ma, Weiqiu Chen, Yang Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
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