Advertisement

Journal of Meteorological Research

, Volume 33, Issue 3, pp 416–432 | Cite as

Impact of Surface Potential Vorticity Density Forcing over the Tibetan Plateau on the South China Extreme Precipitation in January 2008. Part ll: Numerical Simulation

  • Jiahui Yu
  • Yimin Liu
  • Tingting Ma
  • Guoxiong WuEmail author
Special Collection on the Third Tibetan Plateau Atmospheric Science Experiment (TIPEX-III)
  • 10 Downloads

Abstract

The surface air convergence on the eastern flank of the Tibetan Plateau (TP) can increase the in situ surface potential vorticity density (PVD). Since the elevated TP intersects with the isentropic surfaces in the lower troposphere, the increased PVD on the eastern flank of TP thus forms a PVD forcing to the intersected isentropic surface in the boundary layer. The influence of surface PVD forcing over the TP on the extreme freezing rain/snow over South China in January 2008 is investigated by using numerical experiments based on the Finite-volume Atmospheric Model of the IAP/LASG (FAMIL). Compared with observations, the simulation results show that, by using a nudging method for assimilating observation data in the initial flow, this model can reasonably reproduce the distribution of precipitation, atmospheric circulation, and PVD propagation over and downstream of the TP during the extreme winter precipitation period. In order to investigate the impact of the increased surface PVD over the TP on the extreme precipitation in South China, a sensitivity experiment with surface PVD reduced over the TP region was performed. Compared with the control experiment, it is found that the precipitation in the TP downstream area, especially in Southeast China, is reduced. The rainband from Guangxi Region to Shandong Province has almost disappeared. In the lower troposphere, the increase of surface PVD over the TP region has generated an anomalous cyclonic circulation over southern China, which plays an important role in increasing southerly wind and the water vapor transport in this area; it also increases the northward negative absolute vorticity advection. In the upper troposphere, the surface PVD generated in eastern TP propagates on isentropic surface along westerly wind and results in positive absolute vorticity advection in the downstream areas. Consequently, due to the development of both ascending motion and water vapor transport in the downstream place of the TP, extremely heavy precipitation occurs over southern China. Thereby, a new mechanism concerning the influence of the increased surface PVD over the eastern TP slopes on the extreme weather event occurring over southern China is revealed.

Key words

extreme weather event Tibetan Plateau potential vorticity density (PVD) surface PVD forcing numerical simulation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Atmospheric Data Service Center of Nanjing University of Information Science & Technology, 2010: Introduction of MERRA satellite analysis data. Trans. Atmos. Sci., 33, 253–256. (in Chinese)Google Scholar
  2. Bao, Q., J. Yang, Y. M. Liu, et al., 2010: Roles of anomalous Tibetan Plateau warming on the severe 2008 winter storm in central-southern China. Mon. Wea. Rev., 138, 2375–2384, DOI:  https://doi.org/10.1175/2009MWR2950.1.CrossRefGoogle Scholar
  3. Dee, D. P., S. M. Uppala, A. J. Simmons, et al., 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 337, 553–597, DOI:  https://doi.org/10.1002/qj.828.CrossRefGoogle Scholar
  4. Ding, Y. H., Z. Y. Wang, Y. F. Song, et al., 2008: Causes of the unprecedented freezing disaster in January 2008 and its possible association with the global warming. Acta Meteor. Sinica, 66, 808–825, DOI:  https://doi.org/10.11676/qxxb2008.074. (in Chinese)Google Scholar
  5. Ertel, H., 1942: Ein neuer hydrodynamischer Wirbelsatz. Meteorol. Z., 59, 271–281.Google Scholar
  6. Gao, H., L. J. Chen, X. L. Jia, et al., 2008: Analysis of the severe cold surge, ice-snow and frozen disasters in South China during January 2008. II. Possible climatic causes. Meteor. Mon., 34, 101–106. (in Chinese)Google Scholar
  7. Gao, Y., T. W. Wu, and B. D. Chen, 2011: Anomalous thermodynamic conditions for freezing rain in southern China in January 2008 and their causes. Plateau Meteor., 30, 1526–1533. (in Chinese)Google Scholar
  8. Gu, L., K. Wei, and R. H. Huang, 2008: Severe disaster of blizzard, freezing rain and low temperature in January 2008 in China and its association with the anomalies of East Asian monsoon system. Climatic Environ. Res., 13, 405–118. (in Chinese)Google Scholar
  9. Gu, X. Z., 2011: Diagnostic analysis on severe cold surge, rain and ice-snow in South China in January 2008. Plateau Meteor., 30, 150–157. (in Chinese)Google Scholar
  10. Haynes, P. H., and M. E. McIntyre, 1987: On the evolution of vorticity and potential vorticity in the presence of diabatic heating and frictional or other forces. J. Atmos. Sci., 44, 828–841, doi:  https://doi.org/10.11775/552-0046((998)004<0082:OTEOVA>2.0.CO;2.CrossRefGoogle Scholar
  11. Haynes, P. H., and M. E. McIntyre, 1990: On the conservation and impermeability theorems for potential vorticity. J. Atmos. Sci., 43, 2021–2031, DOI:  https://doi.org/10.1175/1520-0469(1990)04702021:OTCAIT>2.0.CO;2.CrossRefGoogle Scholar
  12. Held, I. M., and T. Schneider, 1999: The surface branch of the zonally averaged mass transport in the troposphere. J. Atmos. Sci., 56, 1688–1697, DOI:  https://doi.org/10.1175/1520-0469(1999)05601688:TSBOTZ>2.0.CO;2.CrossRefGoogle Scholar
  13. Holton, J., 1992: Chapter 3: Elementary applications of the basic equations. An Introduction to Dynamic Meteorology, 3rd Ed., Academic Press, New York, 75–77.Google Scholar
  14. Hoskins, B. J., 1991: Towards a PV-θ view of the general circulation. Tellus A, 43, 27–35, DOI:  https://doi.org/10.3402/tellusb.v43i4.15396.CrossRefGoogle Scholar
  15. Hoskins, B. J., 1997: A potential vorticity view of synoptic development. Meteor. Appl., 4, 325–334, DOI:  https://doi.org/10.1017/S1350482797000716.CrossRefGoogle Scholar
  16. Hoskins, B. J., 2015: Potential vorticity and the PV perspective. Adv. Atmos. Sci., 32, 2–9, DOI:  https://doi.org/10.1007/s00376-014-0007-8.CrossRefGoogle Scholar
  17. Hoskins, B. J., I. Draghici, and H. C. Davies, 1978: A new look at the ω-equation. Quart. J. Roy. Meteor. Soc., 104, 31–38, DOI:  https://doi.org/10.1002/qj.49710443903.CrossRefGoogle Scholar
  18. Hoskins, B. J., M. E. McIntyre, and A. W. Robertson, 1985: On the use and significance of isentropic potential vorticity maps. Quart. J. Roy. Meteor. Soc., 111, 877–946, DOI:  https://doi.org/10.1002/qj.49711147002.CrossRefGoogle Scholar
  19. Huffman, G. J., D. T. Bolvin, and E. J. Nelkin, et al., 2007: The TRMM multi-satellite precipitation analysis: Quasi-global, multi-year, combined-sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38–55, DOI:  https://doi.org/10.1175/JHM560.1.CrossRefGoogle Scholar
  20. Li, C. Y., and W. Gu, 2010: Analysis of the anomalous activity of blocking high over the Ural Mountains in January 2008. Chinese J. Atmos. Sci., 34, 865–874, DOI:  https://doi.org/10.3878/j.issn.1006-9895.2010.05.02. (in Chinese)Google Scholar
  21. Li, J. X., Q. Bao, Y. M. Liu, et al., 2017: Evaluation of the computational performance of the finite-volume atmospheric model of the IAP/LASG (FAMIL) on a high-performance computer. Atmos. Ocean. Sci. Lett., 10, 329–336, DOI:  https://doi.org/10.1800/16742834.2017.1331111.CrossRefGoogle Scholar
  22. Li, L. F., Y. M. Liu, and C. Y. Bo, 2011: Impacts of diabatic heating anomalies on an extreme snow event over South China in January 2008. Climatic Environ. Res., 16, 126–136. (in Chinese)Google Scholar
  23. Liu, X., G. X. Wu, and W. P. Li, 2006: The diurnal variation of the atmospheric circulation and diabatic heating over the Tibetan Plateau. Adv. Earth Sci., 21, 69–78. (in Chinese)Google Scholar
  24. Liu, Y., Y. H. Zhao, and Z. Y. Guan, 2008: Influences of stratospheric circulation anomalies on tropospheric weather of the heavy snowfall in January 2008. Climatic Environ. Res., 13, 548–555. (in Chinese)Google Scholar
  25. Lucchesi, R., 2012: File Specification for MERRA Products. GMAO Office Note No. 1 (Version 2.3), 87 pp, available at https://doi.org/gmao.gsfc.nasa.gov/pubs/docs/Lucchesi528.pdf. Accessed on 18 April 2019.
  26. Ma, T. T., G. X. Wu, Y. M. Liu, et al., 2019: Impact of surface potential vorticity density forcing over the Tibetan Plateau on the South China extreme precipitation in January 2008. Part I: Data analysis. J. Meteor. Res., 33, 400–415, DOI:  https://doi.org/10.1007/s13351-019-8604-1.Google Scholar
  27. Nan, S., and P. Zhao, 2012: Snowfall over central-eastern China and Asian atmospheric cold source in January. J. Climate, 32, 888–899, DOI:  https://doi.org/10.1002/joc.2318.Google Scholar
  28. Rienecker, M. M., M. J. Suarez, R. Gelaro, et al., 2011: MERRA: NASA’s modern-Era retrospective analysis for research and applications. J. Climate, 24, 3624–3648, DOI:  https://doi.org/10.1175/JCLI-D-11-00015.1.CrossRefGoogle Scholar
  29. Schneider, T., 2005: Zonal momentum balance, potential vorticity dynamics, and mass fluxes on near-surface isentropes. J. Atmos. Sci., 62, 1884–1900, DOI:  https://doi.org/10.1175/JAS3341.1.CrossRefGoogle Scholar
  30. Schneider, T., I. M. Held, and S. T. Garner, 2003: Boundary effects in potential vorticity dynamics. J. Atmos. Sci., 60, 1024–1040, DOI:  https://doi.org/10.1175/1520-0469(2003)60<1024:BEIPVD>2.0.CO;2.CrossRefGoogle Scholar
  31. Shaw, S. N., 1930: Manual of Meteorology, Volume III. The Physical Processes of Weather. Cambridge University Press, 473 pp.Google Scholar
  32. Tan, G. R., H. S. Chen, Z. B. Sun, et al., 2010: Linkage of the cold event in January 2008 over China to the North Atlantic Oscillation and stratospheric circulation anomalies. Chinese J. Atmos. Sci., 32, 175–183, DOI:  https://doi.org/10.3878/j.issn.1006-9895.2010.01.16. (in Chinese)Google Scholar
  33. Tao, S. Y., and J. Wei, 2008: The severe snow and freezing-rain in January 2008 in southern China. Climatic Environ. Res., 13, 337–350. (in Chinese)Google Scholar
  34. Tao, Z. Y., Y. G. Zheng, and X. L. Zhan, 2008: The southern China quasi-stationary front during the ice-snow disaster of January 2008. Acta Meteor. Sinica, 66, 850–854, DOI:  https://doi.org/10.11676/qxxb2008.077. (in Chinese)Google Scholar
  35. Wang, D. H., C. J. Liu, Y. Liu, et al., 2008: A preliminary analysis of features and causes of the snow storm event over the southern China in January 2008. Acta Meteor. Sinica, 66, 405–422, DOI:  https://doi.org/10.11676/qxxb2008.038. (in Chinese)CrossRefGoogle Scholar
  36. Wang, L., G. Gao, and Q. Zhang, 2008: Analysis of the severe cold surge, ice-snow and frozen disasters in South China during January 2008. I: Climatic features and its impact. Meteor. Mon., 32, 95–100. (in Chinese)Google Scholar
  37. Wang, Y. F., Y. Li, and P. Y. Li, 2008: The large scale circulation of the snow disaster in South China in the beginning of 2008. Acta Meteor. Sinica, 66, 826–835, DOI:  https://doi.org/10.11676/qxxb2008.075. (in Chinese)Google Scholar
  38. Wang, Z. Y., Q. Zhang, Y. Chen, et al., 2008: Characters of meteorological disasters caused by the extreme synoptic process in early 2008 over China. Adv. Climate Change Res., 4, 63–67. (in Chinese)Google Scholar
  39. Wen, M., S. Yang, A. Kumar, et al., 2009: An analysis of the large-scale climate anomalies associated with the snowstorms affecting China in January 2008. Mon. Wea. Rev., 137, 1111–1131, DOI:  https://doi.org/10.1175/2008MWR2638.1.CrossRefGoogle Scholar
  40. Yang, G. M., Q. Kong, D. Y. Mao, et al., 2008: Analysis of the long-lasting cryogenic freezing rain and snow weather in the beginning of 2008. Acta Meteor. Sinica, 66, 836–849, DOI:  https://doi.org/10.11676/qxxb2008.076. (in Chinese)Google Scholar
  41. Zeng, M. J., W. S. Lu, X. Z. Liang, et al., 2008: Analysis of temperature structure for persistent disastrous freezing rain and snow over southern China in early 2008. Acta Meteor. Sinica, 66, 1043–1052, DOI:  https://doi.org/10.11676/qxxb2008.093. (in Chinese)Google Scholar
  42. Zhu, Q. G., J. R. Lin, and S. W. Shou, 2007: Chapter 3. Synoptic Principles and Methods. China Meteorological Press, Beijing, 120–122. (in Chinese)Google Scholar

Copyright information

© The Chinese Meteorological Society and Springer-Verlag Berlin Heidelberg 2019

Authors and Affiliations

  • Jiahui Yu
    • 1
    • 2
  • Yimin Liu
    • 1
    • 3
  • Tingting Ma
    • 1
  • Guoxiong Wu
    • 1
    • 3
    Email author
  1. 1.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics (IAP)Chinese Academy of SciencesBeijingChina
  2. 2.Tianjin Meteorological Service CenterTianjinChina
  3. 3.College of Earth ScienceUniversity of Chinese Academy of SciencesBeijingChina

Personalised recommendations