Boundary layer dynamics over London, UK, as observed using Doppler lidar during REPARTEE-II

被引:141
|
作者
Barlow, J. F. [1 ]
Dunbar, T. M. [1 ]
Nemitz, E. G. [2 ]
Wood, C. R. [1 ]
Gallagher, M. W. [3 ]
Davies, F. [4 ]
O'Connor, E. [1 ,6 ]
Harrison, R. M. [5 ]
机构
[1] Univ Reading, Dept Meteorol, Reading RG6 6BB, Berks, England
[2] Ctr Ecol & Hydrol Edinburgh, Penicuik EH26 0QB, Midlothian, Scotland
[3] Univ Manchester, Sch Earth Atmospher & Environm Sci, Manchester M13 9PL, Lancs, England
[4] Univ Salford, Salford M5 4WT, Lancs, England
[5] Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England
[6] Finnish Meteorol Inst, FIN-00101 Helsinki, Finland
关键词
LOW-LEVEL JET; SEA-BREEZE CONDITIONS; MIXING HEIGHT; URBAN AREA; VELOCITY-VARIANCE; AIR-POLLUTION; MIXED-LAYER; RAMAN LIDAR; SODAR; PROFILES;
D O I
10.5194/acp-11-2111-2011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban boundary layers (UBLs) can be highly complex due to the heterogeneous roughness and heating of the surface, particularly at night. Due to a general lack of observations, it is not clear whether canonical models of boundary layer mixing are appropriate in modelling air quality in urban areas. This paper reports Doppler lidar observations of turbulence profiles in the centre of London, UK, as part of the second REPARTEE campaign in autumn 2007. Lidar-measured standard deviation of vertical velocity averaged over 30 min intervals generally compared well with in situ sonic anemometer measurements at 190 m on the BT telecommunications Tower. During calm, nocturnal periods, the lidar underestimated turbulent mixing due mainly to limited sampling rate. Mixing height derived from the turbulence, and aerosol layer height from the backscatter profiles, showed similar diurnal cycles ranging from c. 300 to 800 m, increasing to c. 200 to 850m under clear skies. The aerosol layer height was sometimes significantly different to the mixing height, particularly at night under clear skies. For convective and neutral cases, the scaled turbulence profiles resembled canonical results; this was less clear for the stable case. Lidar observations clearly showed enhanced mixing beneath stratocumulus clouds reaching down on occasion to approximately half daytime boundary layer depth. On one occasion the nocturnal turbulent structure was consistent with a nocturnal jet, suggesting a stable layer. Given the general agreement between observations and canonical turbulence profiles, mixing timescales were calculated for passive scalars released at street level to reach the BT Tower using existing models of turbulent mixing. It was estimated to take c. 10 min to diffuse up to 190 m, rising to between 20 and 50 min at night, depending on stability. Determination of mixing timescales is important when comparing to physicochemical processes acting on pollutant species measured simultaneously at both the ground and at the BT Tower during the campaign. From the 3 week autumnal data-set there is evidence for occasional stable layers in central London, effectively decoupling surface emissions from air aloft.
引用
收藏
页码:2111 / 2125
页数:15
相关论文
共 50 条
  • [31] Turbulence Detection in the Atmospheric Boundary Layer Using Coherent Doppler Wind Lidar and Microwave Radiometer
    Jiang, Pu
    Yuan, Jinlong
    Wu, Kenan
    Wang, Lu
    Xia, Haiyun
    REMOTE SENSING, 2022, 14 (12)
  • [32] Investigation of Kelvin-Helmholtz Instability in the boundary layer using Doppler lidar and radiosonde data
    Das, Subrata Kumar
    Das, Siddarth Shankar
    Saha, Korak
    Krishna, U. V. Murali
    Dani, K. K.
    ATMOSPHERIC RESEARCH, 2018, 202 : 105 - 111
  • [33] Assimilating coherent Doppler lidar measurements into a model of the atmospheric boundary layer. Part II: Sensitivity analyses
    Newsom, R.K. (rnewsom@harris.com), 1809, American Meteorological Society (21):
  • [34] Assimilating coherent Doppler lidar measurements into a model of the atmospheric boundary layer. part II: Sensitivity analyses
    Newsom, RK
    Banta, RM
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2004, 21 (12) : 1809 - 1824
  • [35] The Boundary Layer Wind Characteristics of Typhoon Muifa (2022) at Lujiazui, Shanghai Observed by A Ground-Based Doppler Wind Lidar
    Sun, Ziyao
    Wang, Shanghong
    Tang, Jie
    Yu, Hui
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2025, 130 (06)
  • [36] Remote measurement of vertical turbulent transport of ozone in the convective boundary layer during LIFT using an ozone DIAL/Doppler lidar combination
    Senff, CJ
    Grund, CJ
    Mayor, SD
    Zhao, YZ
    Marchbanks, RD
    12TH SYMPOSIUM ON BOUNDARY LAYERS AND TURBULENCE, 1997, : 9 - 10
  • [37] Estimation of the Richardson number in the atmospheric boundary layer using data from temperature radiometer and Doppler lidar
    Banakh, V. A.
    Sukharev, A. A.
    Falits, A., V
    Gordeev, E., V
    Zaloznaya, I., V
    26TH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS, ATMOSPHERIC PHYSICS, 2020, 11560
  • [38] Investigation of non-equilibrium turbulence decay in the atmospheric boundary layer using Doppler lidar measurements
    Karasewicz, Maciej
    Waclawczyk, Marta
    Ortiz-Amezcua, Pablo
    Janicka, Lucja
    Poczta, Patryk
    Borges, Camilla Kassar
    Stachlewska, Iwona S.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2024, 24 (23) : 13231 - 13251
  • [39] Observations of the Boundary Layer near Tornadoes and in Supercells Using a Mobile, Collocated, Pulsed Doppler Lidar and Radar
    Bluestein, Howard B.
    Houser, Jana B.
    French, Michael M.
    Snyder, Jeffrey C.
    Emmitt, George D.
    PopStefanija, Ivan
    Baldi, Chad
    Bluth, Robert T.
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2014, 31 (02) : 302 - 325
  • [40] Numerical simulation of vertical velocity variance profiling using the doppler lidar data in the convective boundary layer
    Shelekhov, AP
    22ND INTERNATIONAL LASER RADAR CONFERENCE (ILRC 2004), VOLS 1 AND 2, 2004, 561 : 793 - 796