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Statistical characteristics of environmental parameters for warm season short-duration heavy rainfall over central and eastern China

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Abstract

Water vapor content, instability, and convergence conditions are the key to short-duration heavy rainfall forecasting. It is necessary to understand the large-scale atmospheric environment characteristics of short-duration heavy rainfall by investigating the distribution of physical parameters for different hourly rainfall intensities. The observed hourly rainfall data in China and the NCEP final analysis (FNL) data during 1 May and 30 September from 2002 to 2009 are used. NCEP FNL data are 6-hourly, resulting in sample sizes of 1573370, 355346, and 11401 for three categories of hourly rainfall (P) of no precipitation (P < 0.1 mm h−1), ordinary precipitation (0.1⩽ P < 20 mm h−1), and short-duration heavy rainfall (P ⩾ 20.0 mm h−1), respectively, by adopting a temporal matching method. The results show that the total precipitable water (PWAT) is the best parameter indicating the hourly rainfall intensity. A PWAT of 28 mm is necessary for any short-duration heavy rainfall. The possibility of short-duration heavy rainfall occurrence increases with PWAT, and a PWAT of 59 mm is nearly sufficient. The specific humidity is a better indicator than relative humidity. Both 700- and 850-hPa relative humidity greater than 80% could be used to determine whether or not it is going to rain, but could not be used to estimate the rainfall intensity. Temperature and potential pseudo-equivalent temperature are also reasonable indicators of short-duration heavy rainfall. Among the atmospheric instability parameters, the best lifted index (BLI) performs best on the short-duration rainfall discrimination; the next best is the K index (KI). The three rainfall categories are not well recognized by total totals (TT) or the temperature difference between 850 and 500 hPa (DT85). Three-quarters of short-duration heavy rainfall occurred with BLI less than -0.9, while no short-duration heavy rainfall occurred when BLI was greater than 2.6. The minimum threshold of KI was 28.1 for short-duration heavy rainfall. The importance of dynamic conditions was well demonstrated by the 925- and 850-hPa divergence. The representativeness of 925-hPa divergence is stronger than that of 850 hPa. Three-quarters of short-duration heavy rainfall occurred under a negative divergence environment. However, both the best convective potential energy (BCAPE) and vertical wind shear were unable to discriminate the hourly rainfall intensities.

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References

  • Arakawa, A., 2004: The cumulus parameterization problem: Past, present, and future. J. Climate, 17, 2493–2525.

    Article  Google Scholar 

  • Bunkers, M. J., 2002: Vertical wind shear associated with left-moving supercells. Wea. Forecasting, 17, 845–855.

    Article  Google Scholar 

  • Boville, B. A., 1991: Sensitivity of simulated climate to model resolution. J. Climate, 4, 469–485.

    Article  Google Scholar 

  • Chen Jiong, Zheng Yongguang, Zhang Xiaoling, et al., 2013: Distribution and diurnal variation of warm-season short-duration heavy rainfall in relation to the MCSs in China. Acta Meteor. Sinica, 27, 868–888.

    Article  Google Scholar 

  • Ding Yihui, 2005: Senior Meteorology. China Meteorological Press, Beijing, 309–452. (in Chinese)

    Google Scholar 

  • Doswell III, C. A., H. E. Brooks, and R. A. Maddeox, 1996: Flash flood forecasting: An ingredients-based methodology. Wea. Forecasting, 11, 560–580.

    Article  Google Scholar 

  • Fan Limiao and Yu Xiaoding, 2013: Characteristic analyses on environmental parameters in short-term severe convective weather in China. Plateau Meteor., 32, 156–165. (in Chinese)

    Google Scholar 

  • Fankhauser, J. C., N. A. Crook, J. Tuttle, et al., 1995: Initiation of deep convection along boundary layer convergence lines in a semitropical environment. Mon. Wea. Rev., 123, 291–314.

    Article  Google Scholar 

  • Fritsch, J. M., and R. E. Carbone, 2004: Improving quantitative precipitation forecasts in the warm season: A USWRP research and development strategy. Bull. Amer. Meteor. Soc., 85, 955–965.

    Article  Google Scholar 

  • Holloway, C. E., and J. D. Neelin, 2009: Moisture vertical structure, column water vapor, and tropical deep convection. J. Atmos. Sci., 66, 1665–1683.

    Article  Google Scholar 

  • Huang Gang, 2006: The assessment and difference of the interdecadal variations of climate change in northern part of China with the NCEP/NCAR and ERA-40 reanalysis data. Climatic Environ. Res., 11, 310–320. (in Chinese)

    Google Scholar 

  • Humphreys, W. J., 1919: Intensity of precipitation. Mon. Wea. Rev., 47, 722.

    Article  Google Scholar 

  • Lei Lei, Sun Jisong, and Wei Dong, 2011: Distinguishing the category of the summer convective weather by sounding data in Beijing. Meteor. Mon., 37, 136–141. (in Chinese)

    Google Scholar 

  • Lei Lei, Sun Jisong, Wang Guorong, et al., 2012: An experimental study of the summer convective weather categorical probability forecast based on the rapid updated cycle system for the Beijing area (BJ-RUC). Acta Meteor. Sinica, 70, 752–765. (in Chinese)

    Google Scholar 

  • Li Yaodong, Liu Jianwen, and Gao Shouting, 2004: On the progress of application for dynamic and energetic convective parameters associated with severe convective weather forecasting. Acta Meteor. Sinica, 62, 401–409. (in Chinese)

    Google Scholar 

  • Li Zhinan and Li Tingfu, 2000: Analysis on the environmental conditions and dynamic trigger mechanism of a severe convective rainstorm in Beijing. Quart. J. Appl. Meteor., 11, 304–311. (in Chinese)

    Google Scholar 

  • Lin, Y. L., S. Chiao, T. A. Wang, et al., 2001: Some common ingredients for heavy orographic rainfall. Wea. Forecasting, 16, 633–660.

    Article  Google Scholar 

  • Lu Hancheng and Yang Guoxiang, 2000: Theory and Forecasting of Mesoscale Meteorology. China Meteorological Press, Beijing, 301 pp. (in Chinese)

    Google Scholar 

  • McBride, J. L., and W. M. Frank, 1999: Relationships between stability and monsoon convection. J. Atmos. Sci., 56, 24–36.

    Article  Google Scholar 

  • Miller, R. C., 1972: Notes on Analysis and Severe-storm Forecasting Procedures of the Air Force Global Weather Central. Air Weather Service (MAC), U. S. A. F., Technical Report 200 (Rev.), 183 pp.

    Google Scholar 

  • Molinari, J., and M. Dudek, 1992: Parameterization of convective precipitation in mesoscale numerical models: A critical review. Mon. Wea. Rev., 120, 326–344.

    Article  Google Scholar 

  • Peppler, R. A., and P. J. Lamb, 1989: Tropospheric static stability and central North American growing season rainfall. Mon. Wea. Rev., 117, 1156–1180.

    Article  Google Scholar 

  • Qian Chuanhai, Zhang Jinyan, Ying Dongmei, et al., 2007: A severe convection weather of Jiangxi in April 2003. J. Appl. Meteor. Sci., 18, 460–467. (in Chinese)

    Google Scholar 

  • Rasmussen, E. N., 2003: Refined supercell and tornado forecast parameters. Wea. Forecasting, 18, 530–535.

    Article  Google Scholar 

  • Rasmussen, E. N., and D. O. Blanchard, 1998: Baseline climatology of sounding-derived supercell and tornado forecast parameters. Wea. Forecasting, 13, 1148–1164.

    Article  Google Scholar 

  • Sun Jisong, Dai Jianhua, He Lifu, et al., 2014: Basic Theory and Technical Methods on Severe Convective Weather Forecasting. China Meteorological Press, Beijing, 282 pp. (in Chinese)

    Google Scholar 

  • Thompson, R. L., B. T. Smith, J. S. Grams, et al., 2012: Convective modes for significant severe thunderstorms in the contiguous United States. Part II: Supercell and QLCS tornado environments. Wea. Forecasting, 27, 1136–1154.

    Article  Google Scholar 

  • Tian Fuyou, Zheng Yongguang, Mao Dongyan, et al., 2014: Study on probability distribution of warm season hourly rainfall with Γ distribution. Meteor. Mon., 40, 787–795. (in Chinese)

    Google Scholar 

  • Wang Xiuming, Yu Xiaoding, and Zhu He, 2012: The applicability of NCEP reanalysis data to severe convection environment analysis. J. Appl. Meteor. Sci., 23, 139–146. (in Chinese)

    Google Scholar 

  • Watson, A. I., and D. O. Blanchard, 1984: The relationship between total area divergence and convective precipitation in South Florida. Mon. Wea. Rev., 112, 673–685.

    Article  Google Scholar 

  • Weisman, M. L., and J. B. Klemp, 1982: The dependence of numerically simulated convective storms on vertical wind shear and buoyancy. Mon. Wea. Rev., 110, 504–520.

    Article  Google Scholar 

  • Wetzel, S. W., and J. E. Martin, 2001: An operational ingredients-based methodology for forecasting midlatitude winter season precipitation. Wea. Forecasting, 16, 156–167.

    Article  Google Scholar 

  • Wilson, J. W., N. A. Crook, C. K. Mueller, et al., 1998: Nowcasting thunderstorms: A status report. Bull.11 Amer. Meteor. Soc., 79, 2079–2099.

    Article  Google Scholar 

  • Yin Dongping, Wu Haiying, Zhang Bei, et al., 2010: Analysis on a severe convective weather triggered sea breeze front. Plateau Meteor., 29, 1261–1269. (in Chinese)

    Google Scholar 

  • Yu, X., and T. -Y. Lee, 2010: Role of convective parameterization in simulations of a convection band at grey-zone resolutions. Tellus A, 62, 617–632.

    Google Scholar 

  • Zhang Jiacheng and Lin Zhiguang, 1985: Climate of China. Science and Technology Press of Shanghai, Shanghai, 46–127. (in Chinese)

    Google Scholar 

  • Zhang Tao, Lan Yu, Mao Dongyan, et al., 2013: Advances of mesoscale convective weather analysis in NMC. I: Convective weather environment analysis and supporting techniques. Meteor. Mon., 39, 894–900. (in Chinese)

    Google Scholar 

  • Zhang Xiaoling, Chen Yun, and Zhang Tao, 2012: Mesoscale convective weather analysis and severe convective weather forecasting. Acta Meteor. Sinica, 70, 642–654. (in Chinese)

    Google Scholar 

  • Zhao Ruixia and Wu Guoxiong, 2007: Water budget for the Yangtze River basin and evaluation of ECMWF and NCEP/NCAR reanalysis data. Acta Meteor. Sinica, 65, 416–427. (in Chinese)

    Google Scholar 

  • Zheng Linlin, Sun Jianhua, Zhang Xiaoling, et al., 2013: Organizational modes of mesoscale convective systems over central East China. Wea. Forecasting, 28, 1081–1098.

    Article  Google Scholar 

Download references

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Correspondence to Yongguang Zheng  (郑永光).

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Supported by the Meteorological Integration and Application of Key Techniques (CMAGJ2013Z04), China Meteorological Administration Special Public Welfare Research Fund (GYHY201406002 and GYHY201206004), and National (Key) Basic Research and Development (973) Program of China (2013CB430106).

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Tian, F., Zheng, Y., Zhang, T. et al. Statistical characteristics of environmental parameters for warm season short-duration heavy rainfall over central and eastern China. J Meteorol Res 29, 370–384 (2015). https://doi.org/10.1007/s13351-014-4119-y

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  • DOI: https://doi.org/10.1007/s13351-014-4119-y

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