Vol.28, NO.2, 2017
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Article Navigation >  Journal of Applied Meteorological Science  > 2017  >  28(2): 200-208
Ruan Zheng, Li Tao, Jin Long, et al. Influence of vertical air motion on the radar quantitative precipitation estimation. J Appl Meteor Sci, 2017, 28(2): 200-208. DOI:  10.11898/1001-7313.20170207.
Citation: Ruan Zheng, Li Tao, Jin Long, et al. Influence of vertical air motion on the radar quantitative precipitation estimation. J Appl Meteor Sci, 2017, 28(2): 200-208. DOI:  10.11898/1001-7313.20170207.
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Influence of Vertical Air Motion on the Radar Quantitative Precipitation Estimation

DOI: 10.11898/1001-7313.20170207
  • 1.

    State Key Lab of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081

  • 2.

    Chengdu University of Information Technology, Chengdu 610225

  • 3.

    Meteorological Technical Equipment Center of Hebei Province, Shijiazhuang 050021

  • Received Date: 2016-10-08
  • Rev Recd Date: 2017-01-10
  • Publish Date: 2017-03-31
    Abstract
  • The radar quantitative precipitation estimation (QPE) is one of the main purpose of weather radar application. QPE products are applied very well due to wide space coverage, good precision and high spatial and temporal resolution of precipitation information. Main influencing factors cause differences between the QPE from radar and ground observation include the accuracy of the radar reflectivity, inconsistent of spatial and temporal between the radar and surface observation, and complex precipitation particle raindrop spectrum distribution. Air vertical motion effect in precipitation system and its temporal variation of random fluctuation is another important factor. Raindrop spectral distribution is considered with the development of radar QPE in recent years, and its falling speed can be achieved at the same time from PARSIVEL disdrometer. The air vertical motion acquired from data of PARSIVEL can be used to analyze its influence to the radar QPE. Using PARSIVEL data from the Southern China Monsoon Rainfall Experiment (SCMREX) during May and June 2014 at Yangjiang, Guangdong Province, several precipitation processes are analyzed, including 5 stratiform cloud (SC) precipitation events and 6 convective cloud (CC) precipitation events. The vertical air motion is retrieved and their influences on the QPE precision for both SC and CC are analyzed.The vertical air motion influencing value for 5 SC events are between-0.18 mm·h-1 and-1.05 mm·h-1, ranging from 13.61% to 13.99%. The vertical air motion influencing value for the six CC events are between 5.44 mm·h-1 and 24.81 mm·h-1, ranging from-38.59% to 25.92%. The influence on CC is greater than that on SC. PARSIVEL observation is applied to estimate the A and b coefficient in Z-R relation. The average deviation estimates SC under stationary atmospheric condition is 10.9% and 9.2% under non-stationary atmospheric condition. The vertical air motion effect partly offset by the uncertainty of the estimated precipitation Z-R relation. Average deviations of radar QPE are 25.5%, 51.2% under the stationary and non-stationary atmospheric conditions. After considering the raindrop spectrum distributions, the error of radar QPE is mainly from the vertical air motion. The deviation of QPE is related to data duration, shorter data usually lead to greater deviation. Simulation experiments are also carried out using PARSIVEL data to investigate this influence.
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    References(24)

  • Fig. 1  The time series of stratiform precipitation on 5 May 2014

    (a) rain rate R, (b) air vertical motion wa, (c) effect value of rainrate Ra, (d) effect factor γ

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    Fig. 2  The time series of convective precipitation on 10 May 2014

    (a) rain rate R, (b) air vertical motion wa, (c) effect value of rain rate Ra, (d) effect factor γ

    DownLoad: Full-Size Img PowerPoint

    Fig. 3  The time series of stratiform precipitation on 5 May 2014

    (a) reflectivity Z, (b) rain rate R, (c) air vertical motion wa, (d) accuracy of Z-R relation σ, (e) effect factor γ′, (f) |γ′-σ|

    DownLoad: Full-Size Img PowerPoint

    Fig. 4  The time series of convective precipitation on 10 May 2014

    (a) reflectivity Z, (b) rain rate R, (c) air vertical motion wa, (d) accuracy of Z-R relation σ, (e) effect factor γ′, (f) |γ′-σ|

    DownLoad: Full-Size Img PowerPoint

    Table  1  Precipitation parameters and the air motion effect in the stratiform cloud

    日期 Zmax/dBZ Rmax+/(mm·h-1) wa/(m·s-1) Ra/(mm·h-1) γ/%
    2014-05-05 37.7 9.63 -0.01~0.73 [-0.01, 1.05] -0.31~13.99
    2014-05-06* 18.0 0.69 -0.59~0.78 [-0.13, 0.22] -26.80~28.05
    2014-05-08 41.7 16.86 -0.32~0.44 [-0.05, 0.48] -8.03~10.31
    2014-05-20 39.0 3.25 -0.50~0.93 [-0.04, 0.12] -13.61~10.93
    2014-06-10 42.3 17.73 -0.33~0.45 [-0.18, 0.89] -9.28~8.60
    注：*表示降水过程中小于1 mm的小粒子偏多，粒径和测速误差较大；+表示1 min最大降水量计算的降水强度，单位：mm·h-1。
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    Table  2  Precipitation parameters and the air motion effect in the convective cloud

    日期 Zmax/dBZ Rmax+/(mm·h-1) wa/(m·s-1) Ra/(mm·h-1) γ/%
    2014-05-09 50.1 64.17 -0.99~1.03 [-0.28, 3.81] -38.59~24.30
    2014-05-10 51.7 48.25 -0.51~1.34 [-0.19, 3.03] -12.15~25.92
    2014-05-11 59.6 332.30 -0.57~0.95 [-5.44, 24.81] -7.43~11.58
    2014-05-22 41.4 11.88 -0.28~0.49 [-0.14, 0.39] -8.64~11.50
    2014-06-08 41.9 23.37 -0.39~0.40 [-0.07, 1.12] -12.70~6.41
    2014-06-09 43.2 21.44 -0.05~1.06 [-0.01, 1.16] -1.07~11.91
    注：+表示1 min最大降水量计算的降水强度，单位：mm·h-1。
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    Table  3  A and b values of Z=AR0′b in of two kinds of precipitation

    层状云降水 对流云降水
    时段 A b 时段 A b
    2014-05-05T00:10—01:10 350 1.29 2014-05-09T18:40—22:00 365 1.52
    2014-05-06T18:00—21:00* 74 0.64 2014-05-10T10:30—13:59 349 1.31
    2014-05-08T17:00—18:20 1315 1.36 2014-05-11T03:00—04:30 185 1.63
    2014-05-20T13:30—15:00 886 1.37 2014-05-22T21:30—23:10 255 1.30
    2014-06-10T03：30—08：30 312 1.37 2014-06-08T12:30—13:30 386 1.32
    2014-06-09T16:00—17:13 392 1.33
    注：*表示降水过程中小于1 mm的小粒子偏多，粒径和测速误差较大，不参加讨论。
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    Table  4  A and b values of Z=AR0′b in two cases of precipitation

    2015年5月5日层状云降水 2014年5月10日对流云降水
    时段 A b 时段 A b
    00:20—00:35 308 1.3 12:50—13:00 185 1.4
    00:36—00:50 84 2.0 13:01—13:15 679 1.1
    00:51—01:05 144 1.5 13:16—13:30 246 1.8
    DownLoad: Download CSV
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    • Received : 2016-10-08
    • Accepted : 2017-01-10
    • Published : 2017-03-31
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