Articles | Volume 14, issue 1
Development and technical paper
12 Jan 2021
Development and technical paper |  | 12 Jan 2021

Spin-up characteristics with three types of initial fields and the restart effects on forecast accuracy in the GRAPES global forecast system

Zhanshan Ma, Chuanfeng Zhao, Jiandong Gong, Jin Zhang, Zhe Li, Jian Sun, Yongzhu Liu, Jiong Chen, and Qingu Jiang

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Cited articles

Anthes, R. A., Kuo, Y., Hsie, E., Low-Nam, S., and Bettge, T. W.: Estimation of skill and uncertainty in regional numerical models, Q. J. Roy. Meteor. Soc., 115, 763–806,, 1989. 
Arakawa, A. and Schubert, W. H.: Interaction of a cumulus cloud ensemble with the large-scale environment, Part I, J. Atmos. Sci., 31, 674–701,<0674:IOACCE>2.0.CO;2, 1974. 
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55,, 2015. 
Bjerknes, V.: Das Problem der Wettervorhersage, betrachtet vom Standpunkte der Mechanick und der Physik [The problem of weather prediction as seen from the standpoint of mechanics and physics], Meteorol. Z., 21, 1–7, 1904. 
Bryan, K.: Accelerating the convergence to equilibrium of ocean–climate models, J. Phys. Oceanogr., 14, 666–673,<0666:ATCTEO>2.0.CO;2, 1984. 
Short summary
The spin-up in GRAPES_GFS, under different initial fields, goes through a dramatic adjustment in the first half-hour of integration and slow dynamic and thermal adjustments afterwards. It lasts for at least 6 h, with model adjustment gradually completed from lower to upper layers in the model. Thus, the forecast results, at least in the first 6 h, should be avoided when used. In addition, the spin-up process should repeat when the model simulation is interrupted.