Liu Xichuan, Gao Taichang, Liu Lei, et al. Influences of precipitation on atmospheric extinction coefficient and visibility. J Appl Meteor Sci, 2010, 21(4): 433-441.
Citation: Liu Xichuan, Gao Taichang, Liu Lei, et al. Influences of precipitation on atmospheric extinction coefficient and visibility. J Appl Meteor Sci, 2010, 21(4): 433-441.

Influences of Precipitation on Atmospheric Extinction Coefficient and Visibility

  • Received Date: 2010-01-05
  • Rev Recd Date: 2010-06-06
  • Publish Date: 2010-08-31
  • The variation of visibility is mainly influenced by the scattering and absorption of atmospheric particles at visible wavelengths. The principle of visibility sensors are based on the relationship between visibility and atmospheric extinction coefficient, which is integrated by scattering coefficient of atmospheric particles within a volume. The influence of aerosol, dust particles and smoke are usually taken into account in the traditional visibility analysis. However, as one important factor affecting visibility, precipitation particles are usually neglected, causing obvious inaccuracy when precipitation occurs. Physical characteristics (size, velocity, density, shape, size distribution) of precipitation particles are analyzed and then their influences on atmospheric extinction coefficient and visibility are discussed based on scattering characteristic of raindrops and snowflakes. The relationships of rainfall and snowfall with visibility are obtained by numerical simulation based on fitting size distribution parameters, which are validated by observation data of precipitation and visibility obtained by Parsivel precipitation particle spectrometer in Nanjing. The comparisons show that the numerical simulations are in good agreement with the observation data. The conclusions are as follows: The visibility decreases exponentially as the rainfall/snowfall intensity increases; however, the influence of rainfall and snowfall on visibility is different, because the atmospheric extinction is mainly affected by the types, density, velocity, sizes and distribution of the precipitation particles; with the same precipitation intensity, smaller particles leads to lower visibility; the theoretical relationship of precipitation intensity to visibility takes on a good accordance with the observation data while considering the size distribution and ice crystal types; and the influences of snowfall on visibility are more complex because the atmospheric extinction snowfall are related to the snow/crystal types. Finally the influences of precipitation on visibility are confirmed by the combination of observation data and theoretical analysis. The influences of precipitation particles on atmospheric extinction coefficient and visibility are discussed on the assumption that the aerosols are totally cleared by rain or snow in this model, which results in the overestimation of visibility. To obtain more accurate relationship of visibility and precipitation, the influence of aerosols and its variation with time should be considered, which deserves further investigation.
  • Fig. 1  Comparisons of actual raindrop size distribution and fitting size distribution

    Fig. 2  Comparisons of theory relationships and rain observations by Parsivel

    Fig. 3  Variation of rainrate and visibility during rainfall-a

    Fig. 4  Comparisons of actual drop size distribution and fitting size distribution of snowflake

    Fig. 5  Comparisons of theory relationships and snow observations by Parsive

    Fig. 6  Variation of snowfall rate and visibility during snowfall-c

    Table  1  Coefficients of ice crystal and snowflaKe parameters at 1000 hPa

    Table  2  Parameters of Gamma fitting spectrum based on raindrop size obtained by Parsivel

    Table  3  Parameters of Gamma fitting spectrum based on snowflaKe size by Parsivel

  • [1]
    Rasmussen R M, Viekanandan J, Cole J.The estima tion of snowfall rate using visibility.Journal of Applied Meteorology, 1999, 38:1542-1563. doi:  10.1175/1520-0450(1999)038<1542:TEOSRU>2.0.CO;2
    [2]
    Beard K V, Chuang C.A new model for the equilibrium shape of raindrops.Journal of the Atmospheric Sciences, 1987, 44(11):1509-1524. doi:  10.1175/1520-0469(1987)044<1509:ANMFTE>2.0.CO;2
    [3]
    盛裴轩, 毛节泰, 李建国.大气物理学.北京:北京大学出版社, 2003:304-306.
    [4]
    周毓荃, 刘晓天, 周非非.河南干旱年地面雨滴谱特征.应用气象学报, 2001, 12(增刊):39-47.
    [5]
    Ulbrich C W.Natural variatiomsinthe analytical form of the raindrop size distribution.Journal of Climate and Applied Meteorology, 1983, 22:1764-1775. doi:  10.1175/1520-0450(1983)022<1764:NVITAF>2.0.CO;2
    [6]
    郑娇恒, 陈宝君.雨滴谱分布函数的选择:M-P和Gamma分布的对比研究.气象科学, 2007, 27(1):17-25. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKX200701002.htm
    [7]
    Stewart R E, Crawford R W.Some characteristics of the pre cipitation formed within winter storms over eastern New foundland.Atmospheric Research, 1995, 36:17-37. doi:  10.1016/0169-8095(94)00004-W
    [8]
    黄庚, 苏正军, 关立友, 张纪淮.冰雪晶碰并勾连增长的实验与观测分析.应用气象学报, 2007, 18(4):561-567. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20070487&flag=1
    [9]
    Heymsfield A J.Ice crystal terminal velocities.Journal of the Atmospheric Sciences, 1972, 29:1348-1357. doi:  10.1175/1520-0469(1972)029<1348:ICTV>2.0.CO;2
    [10]
    Jayaweera K O L F, Ohtake T.Properties of columnar ice crystals precipitating from layer clouds.Journal of the Atmospheric Sciences, 1974, 31:280-286. doi:  10.1175/1520-0469(1974)031<0280:POCICP>2.0.CO;2
    [11]
    Rogers D C, The Aggregation of Natural lce Crystals, Department of Atmospheric Resources.College of Engineering.University of Wyoming, Laramie, 1974.
    [12]
    Pruppacher H R, Klett J D.Microphysics of Clouds and Precipitation.Kluwer Academic Publishers, 1997:954-955.
    [13]
    Magono C, Nakamura T.Aerodynamic studies of falling snow flakes.Journal Meteorology Society of Japan, 1965, 43(3):139-147.
    [14]
    Braham R R.Snow particle size spectra in lake effect snow.Journal of Applied Meteorology, 1990, 29:200-207. doi:  10.1175/1520-0450(1990)029<0200:SPSSIL>2.0.CO;2
    [15]
    Gunn K L S, Marshall J S.The distribution with size of aggregate snowflakes.Journal of Meteorology, 1958, 12:452-461.
    [16]
    孙学金, 王晓蕾, 李浩.大气探测学.北京:气象出版社, 2009.
    [17]
    林云, 孙向明, 张小丽, 黄晓锋, 何凌燕, 曾立武.深圳市大气能见度与细粒子浓度统计模型.应用气象学报, 2009, 20(2):252-256. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20090216&flag=1
    [18]
    Zhou X, Li S, Stamnes K, GOMsphere:A Comprehensive Geometrical Optics FORTRAN Code for Computation of Absorption and Single Scattering Properties of Large Dielectric Spheres-Documentation of Algorithm, 2003.
    [19]
    Glantschnig W J, Chen S H.Ljght scattering from water droplets in the geometrical optics approximation.Applied Optics, 1981, 20(14):2499-2509. doi:  10.1364/AO.20.002499
    [20]
    Yang P, Liou K N.Light scattering by hexagonal ice crystals:Solutions by a ray-by-ray integration algorithm.Jourhal ofthe Optics Society of America, 1997, 14(9):2278-2289. doi:  10.1364/JOSAA.14.002278
    [21]
    Macke A, Mishchenko M I, Muinonen K.Scattering of light by large nonspherical particles:Ray-tracing approximation versus T-matrix method.Optics lietters, 1995, 20(19):1934-1936. doi:  10.1364/OL.20.001934
    [22]
    Rasmussen R, Vivekanandan J, Cole J.Theoretical Considerations in the Estimationof Snowfall Rate Using Visibility.The National Center for Atmospheric Research, 1998:1-54.
    [23]
    濮汪平, 赵国强, 蔡定军.Parsivel激光降水粒子谱仪及其在气象领域的应用.气象与环境科学, 2007, 30(2):3-8. http://www.cnki.com.cn/Article/CJFDTOTAL-HNQX200702000.htm
  • 加载中
  • -->

Catalog

    Figures(6)  / Tables(3)

    Article views (4044) PDF downloads(2567) Cited by()
    • Received : 2010-01-05
    • Accepted : 2010-06-06
    • Published : 2010-08-31

    /

    DownLoad:  Full-Size Img  PowerPoint