New Version of the CMA-GFS Dynamical Core Based on the Predictor–Corrector Time Integration Scheme

The operational numerical weather prediction system established by the China Meteorological Administration (CMA), based on the Global/Regional Assimilation and Prediction System (GRAPES) model, adopts the classical semi-implicit semi-Lagrangian (SISL) time integration algorithm. This paper describes...

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Bibliographic Details
Published in:Journal of Meteorological Research Vol. 37; no. 3; pp. 273 - 285
Main Authors: Shen, Xueshun, Su, Yong, Zhang, Hongliang, Hu, Jianglin
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023
Springer Nature B.V
CMA Earth System Modeling and Prediction Centre,China Meteorological Administration(CMA),Beijing 100081
State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,China Meteorological Administration,Beijing 100081%CMA Earth System Modeling and Prediction Centre,China Meteorological Administration(CMA),Beijing 100081
Subjects:
Algorithms
Atmospheric circulation
Atmospheric Protection/Air Quality Control/Air Pollution
Atmospheric Sciences
Earth and Environmental Science
Earth Sciences
Geophysics and Environmental Physics
Meteorology
Original Paper
Weather forecasting
China Meteorological Administration global forecast system (CMA-GFS)
predictor–corrector
Global/Regional Assimilation and Prediction System (GRAPES)
three-dimensional (3D) reference profile
three-dimensional(3D)reference profile
Global/Regional Assimilation and Prediction System(GRAPES)
predictor-corrector
China Meteorological Administration global forecast system(CMA-GFS)
ISSN:2095-6037, 2198-0934
Online Access:Get full text
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Summary:The operational numerical weather prediction system established by the China Meteorological Administration (CMA), based on the Global/Regional Assimilation and Prediction System (GRAPES) model, adopts the classical semi-implicit semi-Lagrangian (SISL) time integration algorithm. This paper describes a major upgrade to the dynamical core of the CMA global forecast system (CMA-GFS), which was successfully incorporated into operation in 2020. In the upgrade, the classical SISL is further developed into a predictor–corrector scheme, a three-dimensional (3D) reference profile instead of the original isothermal reference profile is applied when implementing the semi-implicit algorithm, and a hybrid terrain-following vertical coordinate system is also applied. The new version of the dynamical core greatly improves the model performance, the time integration reaches second-order accuracy, the time step can be extended by 50%, and the efficiency is greatly improved (by approximately 30%). Atmospheric circulation simulation is systematically improved, and deviations in temperature, wind, and humidity are reduced. The new version of the dynamical core provides a solid foundation for further development of the entire operational system of the CMA.
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ISSN:2095-6037
2198-0934
DOI:10.1007/s13351-023-3002-0