Abstract
This paper summarizes the recent progress of numerical weather prediction (NWP) research since the last review was published. The new generation NWP system named GRAPES (the Global and Regional Assimilation and Prediction System), which consists of variational or sequential data assimilation and nonhydrostatic prediction model with options of configuration for either global or regional domains, is briefly introduced, with stress on their scientific design and preliminary results during pre-operational implementation. In addition to the development of GRAPES, the achievements in new methodologies of data assimilation, new improvements of model physics such as parameterization of clouds and planetary boundary layer, mesoscale ensemble prediction system and numerical prediction of air quality are presented. The scientific issues which should be emphasized for the future are discussed finally.
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References
Chen, J., J. Xue, and H. Yan, 2003: The impact of physics parameterization schemes on mesoscale heavy rainfall simulation. Acta Meteorologica Sinica, 61, 203–218. (in Chinese)
Chen, J., J. Xue, and H. Yan, 2006: A new initial perturbation method of ensemble mesoscale heavy rain prediction. Chinese J. Atmos. Sci., 29, 717–726. (in Chinese).
Dong, P., and J. Xue, 2005: An adjusted parameter scheme of land surface emissivity for assimilation of microwave satellite data. Proc. SPIE: Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, Huang et al., Eds., San Diego U.S., The International Society for Optical Engineering, 274–280.
Dong, P., Z. Liu, and J. Xue, 2005: The Use of ATOVS Microwave Data in the Grapes-3Dvar System. Proc. Fourteenth International TOVS Study Conference, Beijing, China, The World Meteorological Organization, 274–280.
Fang, X., and Coauthors, 2004: The multi-scale numerical modeling system for research on the relationship between urban planning and meteorological environment. Adv. Atmos. Sci., 21, 103–112.
Gu, J., 2006: Three dimensional variational method study on directly assimilation of Doppler radar data. Ph.D. dissertation, Chinese Academy of Meteorological Science, 228pp. (in Chinese)
Huang, Y., Q. Wan, J. Yuan, and W. Ding, 2006: Experiments of ensemble forecasts of typhoon track using DBA perturbing method. Journal of Tropical Meteorology, 22, 49–54. (in Chinese)
Li, X., J. He, and B. Bi, 2003: The design of urban canopy parameterization of MM5 and its numerical simulation. Acta Meteorologica sinica, 61, 526–539. (in Chinese)
Li, X., D. Chen, X. Peng, F. Xiao, and X. Chen, 2006a: Implementation of the semi-Lagrangian advection scheme on a quasi-uniform overset grid on a sphere. Adv. Atmos. Sci., 23, 792–801.
Li, Y., R. Yu, Y. Xu, and T. Zhou, 2005: AREM simulations of cloud features over Eastern China in February. Adv. Atmos. Sci., 22, 260–270.
Li, Y., G. Zhu, and J. Xue, 2006b: Microphysical retrieval from Doppler radar reflectivity using variational data assimilation. Acta Meterologica Sinica, 20, 20–27.
Li, Z., and D. Chen, 2002: The development and application of the operational ensemble prediction system at the national meteorological center. Quarterly Journal of Applied Meteorology, 13, 1–15. (in Chinese)
Liu, H., H. Xu, Z. Hu, J. Xue, and T. Shen, 2007: Radar reflectivity factor applied to initialize could-resolving meso-scale model. Part I: Retrieval microphysics elements and vertical velocity. Acta Meteorologica Sinica, in Press. (in Chinese)
Mu, M., and J. Wang, 2003: A method for adjoint variational data assimilation with physical “on-off” processes. J. Atmos. Sci., 60, 2010–2018.
Mu, M., and Q. Zheng, 2005: Zigzag oscillations in variational data assimilation with physical “on-off” processes. Mon. Wea. Rev., 133, 2711–2720.
Qiu, C., and J. Chou, 2005: Four-dimensional data assimilation method based on SVD: Theoretical aspect. Theor. Appl. Climatol., 83, 51–57.
Shen, X., and A. Sumi, 2005: A higher solution non-hydrostatic tropical atmospheric model and its performance. Adv. Atmos. Sci., 22, 30–38.
Sun, J., L. Zhao and S. Zhao, 2003: An integrated numerical modeling system of dust storm suitable to north China and its applications. Climatic and Environmental Research, 8, 125–142. (in Chinese)
Sun, J., X. Zhou and P. Zhao, 2005: A planetary boundary layer model and its application to heavy rain modeling. Chinese Science Bulletin, 50, 275–285. (in Chinese)
Wan, Q., J. Xue, and S. Zhuang, 2005: Study on the variational assimilation technique for the retrieval of wind fields from Doppler radar data. Acta Meteorologica Sinica, 63, 129–145. (in Chinese)
Wan, Q., J. Xue, Z. Chen, and C. Liu, 2006: The test of applying radar TREC wind in three-dimensional variational assimilation. Journal of Tropical Meteorology, 12, 59–66.
Wang, B., and Y. Zhao, 2005: A new data assimilation approach. Acta Meteorologica Sinica, 63, 694–701. (in Chinese)
Wang, Y., and B. Wang, 2003: The variational assimilation experiment of GPS bending angle. Adv. Atmos. Sci., 20, 479–485.
Xu, G., Q. Wan, L. Huang, J. Xue, and D. Chen, 2006: Application and study of precipitation schemes in weather simulation in summer and winter over China. Acta Meterologica Sinica, 20, 28–38.
Xu, X., G. Zheng, and L. Liu, 2004: Dynamical and microphysical retrieval from simulated Doppler radar observations using the 4dvar assimilation technique. Acta Meteorologica Sinica, 62, 411–422. (in Chinese)
Xue, J., 2004: Progresses of researches on numerical weather prediction in China: 1999–2002. Adv. Atmos. Sci., 21, 467–474.
Xue, J., 2005: Development of 3DVar for operational application in CMA. Proc. Proceedings of 4th WMO International Symposium on Assimilation of Observations in Meteorology and Oceanography, Prague Czech, The World Meteorological Organization, 142.
Xue, J., 2006: Progress of Chinese numerical prediction in the early new century. Journal of Applied Meteorological Science, 17, 602–610. (in Chinese)
Xue, J., H. Zhang, G. Zhu, and S. Zhuang, 2003: Development of a 3D Variational Assimilation System for ATOVS Data in China. Proc. Thirteenth International TOVS Study Conference, The World Meteorological Orgnization, Quebec, Canada, 30–36.
Yu, R., and Y. Xu, 2004: Arem and its simulations on the daily rainfall in summer in 2003. Acta Meteorologica Sinica, 62, 715–724. (in Chinese)
Yuan, Z., J. Ding, and M. Chen, 2004: Preliminary study on applying GPS observations to mesoscale numerical weather prediction model. Acta Meteorologica Sinica, 62, 201–212. (in Chinese)
Zhang, L., and Y. Ni, 2005: Four-Dimensional variational data assimilation of radar radial velocity observations. Chinese J. Atmos. Sci., 30, 433–440. (in Chinese)
Zhang, X., Y. Liu, B. Wang, and Z. Ji, 2004: Parallel computing of a variational data assimilation model for GPS/MET observation using the raytracing method. Adv. Atmos. Sci., 21, 220–226.
Zhou, G., C. Zhao, S. Ding, and Y. Qin, 2005: A study on impacts of different radiative transfer schemes on mesoscale precipitations. Quarterly Journal of Applied Meteorology, 16, 148–158. (in Chinese)
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Xue, J., Liu, Y. Numerical weather prediction in China in the new century—Progress, problems and prospects. Adv. Atmos. Sci. 24, 1099–1108 (2007). https://doi.org/10.1007/s00376-007-1099-1
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DOI: https://doi.org/10.1007/s00376-007-1099-1