Abstract
During the past few years, most of the new developed numerical weather prediction models adopt the strategy of multi-scale technique. Therefore, China Meteorological Administration has devoted to developing a new generation of global and regional multi-scale model since 2003. In order to validate the performance of the GRAPES (Global and Regional Assimilation and PrEdiction System) model both for its scientific design and program coding, a suite of idealized tests has been proposed and conducted, which includes the density flow test, three-dimensional mountain wave and the cross-polar flow test. The density flow experiment indicates that the dynamic core has the ability to simulate the fine scale nonlinear flow structures and its transient features. While the three-dimensional mountain wave test shows that the model can reproduce the horizontal and vertical propagation of internal gravity waves quite well. Cross-polar flow test demonstrates the rationality of both for the semi-Lagrangian departure point calculation and the discretization of the model near the poles. The real case forecasts reveal that the model has the ability to predict the large-scale weather regimes in summer such as the subtropical high, and to capture the major synoptic patterns in the mid and high latitudes.
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Supported by National Key Technology Research and Development (Grant Nos. 2006BAC02B01 and 2006BAC03B03), National High-Tech Research & Development Program of China (Grant No. 2006AA01A123), and National Natural Science Foundation of China (Grant No. 40505023)
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Yang, X., Hu, J., Chen, D. et al. Verification of GRAPES unified global and regional numerical weather prediction model dynamic core. Chin. Sci. Bull. 53, 3458–3464 (2008). https://doi.org/10.1007/s11434-008-0417-z
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DOI: https://doi.org/10.1007/s11434-008-0417-z