R & D Center for Weather Forecasting Technology (NMC-WFT, CMA)
NMC-OPEN-WFT develops forecast post processing/diagnostic/verification related techniques etc.
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- meteva Public
MetEva aims to provide fast and efficient evaluation and validation methods and processes for weather forecasting products. From numerical models, objective forecasting methods, refined grid forecasts to forecast product application, MetEva can play a role in promoting cross-process and cross-departmental verification information sharing, providing
nmcdev/meteva’s past year of commit activity - CMA-AIM-GFS-Fengqing Public
FengQing is a data-driven model for medium-range weather forecasting jointly developed by the China Meteorological Administration and School of Software at Tsinghua University. It leverages advanced machine-learning techniques to enhance weather forecasting and analysis for over 10 days. The runnable model and inference code are fully open-sourced,
nmcdev/CMA-AIM-GFS-Fengqing’s past year of commit activity
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