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Advances in Atmospheric Sciences

, Volume 28, Issue 4, pp 735–742 | Cite as

Rainfall assimilation using a new four-dimensional variational method: A single-point observation experiment

  • Juanjuan Liu (刘娟娟)
  • Bin Wang (王 斌)Email author
Article

Abstract

Accurate forecast of rainstorms associated with the mei-yu front has been an important issue for the Chinese economy and society. In July 1998 a heavy rainstorm hit the Yangzi River valley and received widespread attention from the public because it caused catastrophic damage in China. Several numerical studies have shown that many forecast models, including Pennsylvania State University National Center for Atmospheric Research’s fifth-generation mesoscale model (MM5), failed to simulate the heavy precipitation over the Yangzi River valley. This study demonstrates that with the optimal initial conditions from the dimension-reduced projection four-dimensional variational data assimilation (DRP-4DVar) system, MM5 can successfully reproduce these observed rainfall amounts and can capture many important mesoscale features, including the southwestward shear line and the low-level jet stream. The study also indicates that the failure of previous forecasts can be mainly attributed to the lack of mesoscale details in the initial conditions of the models.

Key words

data assimilation dimension-reduced projection four-dimensional variational data assimilation (DRP-4DVar) rainstorm numerical simulation 

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References

  1. Bei, N. F., and S. X. Zhao, 2002: Mesoscale analysis of severe local heavy rainfall during the second stage of the 1998 meiyu season. Chinese J. Atmos. Sci., 26(4), 526–540. (in Chinese)Google Scholar
  2. Chen, G. T.-J., C.-C. Wang, and D. T.-W. Lin, 2005: Characteristics of low-level jets over Northern Taiwan in mei-yu season and their relationship to heavy rain events. Mon. Wea. Rev., 133, 20–43.CrossRefGoogle Scholar
  3. Chen, Y.-L., X. A. Chen, S. Chen, and Y.-H. Kuo, 1997: A numerical study of the low-level jet during TAMEX IOP 5. Mon. Wea. Rev., 125, 2583–2604.CrossRefGoogle Scholar
  4. Cheng, L.-S., and W.-H. Feng, 2001: Analyses and numerical simulation on an abrupt heavy rainfall and structure of a mesoscale vortex during July 1998. Chinese J. Atmos. Sci., 25(4), 465–478. (in Chinese)Google Scholar
  5. Dudhia, J., 1993: A nonhydrostatic version of the Penn State-NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev., 121, 1493–1513.CrossRefGoogle Scholar
  6. Falkovich, A., E. Kalnay, S. Lord, and M. M. Mathur, 2000: A new method of observed rainfall assimilation in forecast model. J. Appl. Meteor., 39, 1282–1298.CrossRefGoogle Scholar
  7. Grell, G. A., J. Dudhia, and D. R. Stauffer, 1994: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). Tech Note NCAR/TN-3981STR, Boulder, CO., 122pp.Google Scholar
  8. Hu, B.-W., C.-G. Cui, and C.-H. Fang, 2001: Cause of successively extremely heavy rain along the Changjiang Valley in the Eastern Hubei Province during 21–22 July 1998. J. Atmos. Sci. Chinese, 25(4), 479–491. (in Chinese)Google Scholar
  9. Liu, S.-Y., Y.-G. Zheng, H.-Q. Wu, and Q.-L. Wu, 2002: Analyses of heavy rain in Huaihe river basin during 28 June–2 July 1998. Acta Meteor. Sinica, 60(6), 774–779.Google Scholar
  10. Meng, Z.-Y., X.-D. Xu, and L.-S. Chen, 2002: TBB-nudging four-dimensional data assimilation method and simulations on heavy rain process in Wuhan on 20 July 1998. Chinese J. Atmos. Sci., 26(5), 663–676. (in Chinese)Google Scholar
  11. Nagata, M., and Y. Ogura, 1991: A modeling case study of interaction between heavy precipitation and a low-level jet over Japan in the baiu season. Mon. Wea. Rev., 119, 1309–1336.CrossRefGoogle Scholar
  12. Ninomiya, K., and T. Akiyama, 1974: Band structure of meso-scale echo cluster associated with low-level jet stream. J. Meteor. Soc. Japan, 52, 300–313.Google Scholar
  13. Pereira Fo, A. J., K. C. Crawford, and D. J. Stensrud, 1999: Mesoscale precipitation fields. Part II: Hydrometeorologic modeling. J. Appl. Meteor., 38, 102–125.CrossRefGoogle Scholar
  14. Sun, J., and P. Zhao, 2003: Simulation and analysis of three heavy rainfall processes in 1998 with WRF and MM5. Acta Meteorologica Sinica, 61(6), 692–701. (in Chinese)Google Scholar
  15. Shi, J., T.-L. Shen, and P.-X. Wang, 2009: Study on genetic algorithm assimilation of GPS precipitable water data and its application. Acta Meteorologica Sinica, 29(5), 584–590.Google Scholar
  16. Tsuboki, K., 2007: High-resolution simulations of highimpact weather systems using the cloud-resolving model on the earth simulator. High Resolution Numerical Modelling of the Atmosphere and Ocean, K. Hamilton, and W. Ohfuchi, Eds., Springer, 141–156.Google Scholar
  17. Wang, B., J.-J. Liu, S. Wang, W. Cheng, J. Liu, C. Liu, Q. Xiao, and Y.-H. Kuo, 2010: An economical approach to four-dimensional variational data assimilation. Adv. Atmos. Sci., 27, 715–727, doi: 10.1007/s00376-009-9122-3.CrossRefGoogle Scholar
  18. Wang, J.-J., and S.-Y. Tao, 2002: Structure and formation of mei-yu front in 1998. Journal of Applied Meteorological Science, 13(5), 526–534. (in Chinese)Google Scholar
  19. Xu, X.-D., Y.-H. Weng, Z.-Y. Meng, and M.-Y. Zhou, 2002: Characteristics of the convection in the mesoscale front of the serious storm rainfall over the Wuhan-Huangshi region during July of 1998 through variational analysis by satellite data. Chinese J. Atmos. Sci., 26(6), 663–676. (in Chinese)Google Scholar
  20. Yuan, Z.-H., 2005: Variational assimilation of GPS precipitable water into MM5 mesoscale model. Acta Meteorologica Sinica, 63(4), 391–404. (in Chinese)Google Scholar
  21. Zhang, X., B. Wang, Z.-Z. Ji, and W.-T. Lin, 2002: Three-dimensional variational data assimilation implemented in numerical modeling for “98.7” Wuhan torrential rain. Progress in Natural Sciences, 12(6), 445–448.Google Scholar
  22. Zhang, M., Y.-Q. Ni, and F.-Q. Zhang, 2007: Variational assimilation of GPS precipitable water vapor and hourly rainfall observations for a meso-β scale heavy precipitation event during the 2002 meiyu season. Adv. Atmos. Sci., 24(3), 509–526, doi: 10.1007/s00376-007-0509-8.CrossRefGoogle Scholar
  23. Zhao, S.-X., J.-H. Sun, H. Chen, and F. Zhang, 1998: Study of heavy rainfall in the Changjiang River during July 1998. Climatic and Environmental Research, 3(4), 368–381. (in Chinese)Google Scholar
  24. Zhou, X., S. Zhao, and B. Zhang, 1984: A numerical simulation of the meso-low formation on mei-yu front. Chinese J. Atmos. Sci., 8(4), 353–361. (in Chinese)Google Scholar
  25. Zhou, Y. S., G. Deng, T. Lei, and J. H. Ju, 2005: The thermodynamic and dynamical features of double front structures during 21–31 July 1998 in China. Adv. Atmos. Sci., 22(6), 924–935.CrossRefGoogle Scholar
  26. Zou, X., and Y.-H. Kuo, 1996: Rainfall assimilation through an optimal control of initial and boundary conditions in a limited-area mesoscale model. Mon. Wea. Rev., 124, 2859–2882.CrossRefGoogle Scholar

Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.State Key Laboratory of Numerical Modeling for Atmospheric Sciences & Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina

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