Abstract
The scientific design and preliminary results of the data assimilation component of the Global-Regional Prediction and Assimilation System (GRAPES) recently developed in China Meteorological Administration (CMA) are presented in this paper. This is a three-dimensional variational (3DVar) assimilation system set up on global and regional grid meshes favorable for direct assimilation of the space-based remote sensing data and matching the frame work of the prediction model GRAPES. The state variables are assumed to decompose balanced and unbalanced components. By introducing a simple transformation from the state variables to the control variables with a recursive or spectral filter, the convergence rate of iteration for minimization of the cost function in 3DVar is greatly accelerated. The definition of dynamical balance depends on the characteristic scale of the circulation considered. The ratio of the balanced to the unbalanced parts is controlled by the prescribed statistics of background errors. Idealized trials produce the same results as the analytic solution. The results of real data case studies show the capability of the system to improve analysis compared to the traditional schemes. Finally, further development of the system is discussed.
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References
Xue J S. Progresses of researches on numerical weather prediction in China: 1999–2002. Adv Atmos Sci, 2004, 21: 467–474
Cote J, Gravel S, Patonie A, et al. The operational CMC-MRB global environmental multiscale (GEM) model. Part 1: Design considerations and formulation. Mon Weather Rev, 1998, 126: 1373–1395
Davies T, Cullen M, Malcolm A, et al. A new dynamical core for the Met Office’s global and regional modeling of the atmosphere, Q J R Meteorol Soc, 2005, 131: 1759–1782
Eyre J R, Kelly G A, McNally A P, et al. Assimilation of TOVS radiance information through one-dimensional variational analysis. Q J R Meteorol Soc, 1993, 119: 1427–1463
Lorenc A. Analysis methods for numerical weather prediction. Q J R Meteorol Soc, 1986, 112: 1177–1194
Ido K, Coutier P, Ghil M, et al. Unified notation for data assimilation: operational, sequential and variational. J Meteor Soc Jpn, 1997, 75: 181–189
Zhuang Z R, Xue J S, Zhu Z S, et al. Application of nonlinear balance scheme in three-dimensional variational data assimilation (in Chinese). Acta Meteorol Sin, 2006, 64(2): 137–148
Hollinsworth A, Lonnberg P. The statistical structure of short-range forecast errors as determined from radiosonde data. Part 1 and Part 2. Tellus, 1986, 38A: 111–161
Franke R. Three dimensional covariance functions for NOGAPS data. Mon Weather Rev, 1999, 127: 2293–2308
Parrish D F, Derber J C. The national meteorological center’s spectral statistical interpolation analysis system. Mon Weather Rev, 1992, 120: 1743–1763
Zhuang Z R, Xue J S, Zhuang S Y, et al. A study of the statistical analysis of the geopotential height background errors in the data assimilation (in Chinese). Chin J Atmos Sci, 2006, 30(3): 533–544
Holm E V. Revision of the ECMWF humidity analysis: Construction of a Gaussian control variable. In: ECMWF Workshop Proceedings: ECMWF/GEWEX Workshop on Humidity Analysis, 2002. 1–6
Boer G J. Homogeneous and isotropic turbulence on the sphere. J Atmos Sci, 1983, 40: 154–164
Lorenc A C. Iterative analysis using covariance functions and filters. Q J R Meteorol Soc, 1992, 118: 569–591
Navon I M, David M L. Conjugate gradient methods for large scale minimization in meteorology. Mon Weather Rev, 1987, 115: 1479–1502
Zhuang S Y, Xue J S, Zhu G F, et al. GRAPES Global 3D-Var systembasic scheme design and single observation test (in Chinese). Chin J Atmos Sci, 2005, 29(6): 872–884
Zhang H, Xue J S, Zhuang S Y, et al. Ideal experiments of GRAPES three-dimensional variational data assimilation system (in Chinese). Acta Meteorol Sin, 2004, 62: 31–41
Zhuang H, Xue J S, Zhu G F, et al. Application of direct assimilation of ATOVS microwave radiances to typhoon track prediction. Adv Atmos Sci, 2004, 21: 283–290
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Supported by Key Technologies Research and Development Program (Grant No. 2001BA607B and 2001BA607B02) and National Natural Science Foundation of China (Grant No. 40518001)
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Xue, J., Zhuang, S., Zhu, G. et al. Scientific design and preliminary results of three-dimensional variational data assimilation system of GRAPES. Chin. Sci. Bull. 53, 3446–3457 (2008). https://doi.org/10.1007/s11434-008-0416-0
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DOI: https://doi.org/10.1007/s11434-008-0416-0