Evaluating Light Rain Drop Size Estimates from Multiwavelength Micropulse Lidar Network Profiling

被引:38
|
作者
Lolli, Simone [1 ,2 ]
Welton, Ellsworth J. [2 ]
Campbell, James R. [3 ]
机构
[1] NASA, Joint Ctr Earth Syst Technol, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[3] Naval Res Lab, Monterey, CA USA
关键词
Boundary layer; Drizzle; Aerosols; Cumulus clouds; Lidars; Lidar observations; Remote sensing; DOPPLER RADAR; DRIZZLE PARAMETERS; MELTING LAYER; CLOUD; AEROSOLS;
D O I
10.1175/JTECH-D-13-00062.1
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper investigates multiwavelength retrievals of median equivolumetric drop diameter D-0 suitable for drizzle and light rain, through collocated 355-/527-nm Micropulse Lidar Network (MPLNET) observations collected during precipitation occurring 9 May 2012 at the Goddard Space Flight Center (GSFC) project site. By applying a previously developed retrieval technique for infrared bands, the method exploits the differential backscatter by liquid water at 355 and 527 nm for water drops larger than approximate to 50 m. In the absence of molecular and aerosol scattering and neglecting any transmission losses, the ratio of the backscattering profiles at the two wavelengths (355 and 527 nm), measured from light rain below the cloud melting layer, can be described as a color ratio, which is directly related to D-0. The uncertainty associated with this method is related to the unknown shape of the drop size spectrum and to the measurement error. Molecular and aerosol scattering contributions and relative transmission losses due to the various atmospheric constituents should be evaluated to derive D-0 from the observed color ratio profiles. This process is responsible for increasing the uncertainty in the retrieval. Multiple scattering, especially for UV lidar, is another source of error, but it exhibits lower overall uncertainty with respect to other identified error sources. It is found that the total error upper limit on D-0 approaches 50%. The impact of this retrieval for long-term MPLNET monitoring and its global data archive is discussed.
引用
收藏
页码:2798 / 2807
页数:10
相关论文
共 50 条
  • [41] Rain drop size distribution and vertical structure from a polarisation-Doppler radar campaign in Papua New Guinea
    Eastment, JD
    Wilson, CL
    Thurai, M
    28TH CONFERENCE ON RADAR METEOROLOGY, 1997, : 31 - 32
  • [42] A Comparison of Lagrangian Model Estimates to Light Detection and Ranging (LIDAR) Measurements of Dust Plumes from Field Tilling
    Wang, Junming
    Hiscox, April L.
    Miller, David R.
    Meyer, Thomas H.
    Sammis, Ted W.
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2009, 59 (11): : 1370 - 1378
  • [43] A neural network to extract size parameter from light scattering data
    Hull, PG
    QuinbyHunt, M
    OCEAN OPTICS XIII, 1997, 2963 : 448 - 454
  • [44] Removing bias from LiDAR-based estimates of canopy height: Accounting for the effects of pulse density and footprint size
    Roussel, Jean-Romain
    Caspersen, John
    Beland, Martin
    Thomas, Sean
    Achim, Alexis
    REMOTE SENSING OF ENVIRONMENT, 2017, 198 : 1 - 16
  • [45] Influence of footprint size and geolocation error on the precision of forest biomass estimates from space-borne waveform LiDAR
    Milenkovic, Milutin
    Schnell, Sebastian
    Holmgren, Johan
    Ressl, Camillo
    Lindberg, Eva
    Hollaus, Markus
    Pfeifer, Norbert
    Olsson, Hakan
    REMOTE SENSING OF ENVIRONMENT, 2017, 200 : 74 - 88
  • [46] Attenuation-Rain Rate Power-Law Relation and Critical Diameters from Drop Size Distribution Measurements in Durban
    Adetan, O.
    Afullo, Thomas J.
    AFRICON, 2013, 2013, : 242 - 246
  • [47] Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests
    Luis Hernandez-Stefanoni, Jose
    Reyes-Palomeque, Gabriela
    Angel Castillo-Santiago, Miguel
    George-Chacon, Stephanie P.
    Helena Huechacona-Ruiz, Astrid
    Tun-Dzul, Fernando
    Rondon-Rivera, Dinosca
    Manuel Dupuy, Juan
    REMOTE SENSING, 2018, 10 (10)
  • [48] FULLY AUTOMATED LIGHT PRECIPITATION DETECTION FROM MPLNET AND EARLINET NETWORK LIDAR MEASUREMENTS.
    Lolli, Simone
    Vivone, Gemine
    Welton, Ellsworth J.
    Lewis, Jasper R.
    Campbell, James R.
    Sicard, Michael
    Comeron, Adolfo
    Pappalardo, Gelsomina
    29TH INTERNATIONAL LASER RADAR CONFERENCE (ILRC 29), 2020, 237
  • [49] THE EFFECT OF DROP-SIZE DISTRIBUTION VARIABILITY ON RADIOMETRIC ESTIMATES OF RAINFALL RATES FOR FREQUENCIES FROM 3 TO 10 GHZ
    JAMESON, AR
    JOURNAL OF APPLIED METEOROLOGY, 1991, 30 (07): : 1025 - 1033
  • [50] Evaluation of X-band polarimetric radar estimates of drop size distributions from coincident S-band polarimetric estimates and measured raindrop spectra
    Anagnostou, M. N.
    Anagnostou, E. N.
    Vulpiani, G.
    Montopoli, M.
    Marzano, F. S.
    Vivekanandan, J.
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3575 - +