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Title: Estimation of Depolarization Ratio Using Weather Radars with Simultaneous Transmission/Reception

 [1];  [2];  [1];  [3];  [1];  [4];  [4];  [5];  [5]
  1. Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma, NOAA/National Severe Storms Laboratory, Norman, Oklahoma
  2. Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, NOAA/Earth System Research Laboratory, Boulder, Colorado
  3. NOAA/National Severe Storms Laboratory, Norman, Oklahoma
  4. Enterprise Electronics Corporation, Enterprise, Alabama
  5. Meteorological Institute, University of Bonn, Bonn, Germany
Publication Date:
Sponsoring Org.:
OSTI Identifier:
Grant/Contract Number:
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Applied Meteorology and Climatology
Additional Journal Information:
Journal Volume: 56; Journal Issue: 7; Related Information: CHORUS Timestamp: 2017-06-12 10:07:42; Journal ID: ISSN 1558-8424
American Meteorological Society
Country of Publication:
United States

Citation Formats

Ryzhkov, Alexander, Matrosov, Sergey Y., Melnikov, Valery, Zrnic, Dusan, Zhang, Pengfei, Cao, Qing, Knight, Michael, Simmer, Clemens, and Troemel, Silke. Estimation of Depolarization Ratio Using Weather Radars with Simultaneous Transmission/Reception. United States: N. p., 2017. Web. doi:10.1175/JAMC-D-16-0098.1.
Ryzhkov, Alexander, Matrosov, Sergey Y., Melnikov, Valery, Zrnic, Dusan, Zhang, Pengfei, Cao, Qing, Knight, Michael, Simmer, Clemens, & Troemel, Silke. Estimation of Depolarization Ratio Using Weather Radars with Simultaneous Transmission/Reception. United States. doi:10.1175/JAMC-D-16-0098.1.
Ryzhkov, Alexander, Matrosov, Sergey Y., Melnikov, Valery, Zrnic, Dusan, Zhang, Pengfei, Cao, Qing, Knight, Michael, Simmer, Clemens, and Troemel, Silke. 2017. "Estimation of Depolarization Ratio Using Weather Radars with Simultaneous Transmission/Reception". United States. doi:10.1175/JAMC-D-16-0098.1.
title = {Estimation of Depolarization Ratio Using Weather Radars with Simultaneous Transmission/Reception},
author = {Ryzhkov, Alexander and Matrosov, Sergey Y. and Melnikov, Valery and Zrnic, Dusan and Zhang, Pengfei and Cao, Qing and Knight, Michael and Simmer, Clemens and Troemel, Silke},
abstractNote = {},
doi = {10.1175/JAMC-D-16-0098.1},
journal = {Journal of Applied Meteorology and Climatology},
number = 7,
volume = 56,
place = {United States},
year = 2017,
month = 7

Journal Article:
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  • Coincident profiling observations from Doppler lidars and radars are used to estimate the turbulence energy dissipation rate (ε) using three different data sources: (i) Doppler radar velocity (DRV), (ii) Doppler lidar velocity (DLV), and (iii) Doppler radar spectrum width (DRW) measurements. Likewise, the agreement between the derived ε estimates is examined at the cloud base height of stratiform warm clouds. Collocated ε estimates based on power spectra analysis of DRV and DLV measurements show good agreement (correlation coefficient of 0.86 and 0.78 for both cases analyzed here) during both drizzling and nondrizzling conditions. This suggests that unified (below and abovemore » cloud base) time-height estimates of ε in cloud-topped boundary layer conditions can be produced. This also suggests that eddy dissipation rate can be estimated throughout the cloud layer without the constraint that clouds need to be nonprecipitating. Eddy dissipation rate estimates based on DRW measurements compare well with the estimates based on Doppler velocity but their performance deteriorates as precipitation size particles are introduced in the radar volume and broaden the DRW values. And, based on this finding, a methodology to estimate the Doppler spectra broadening due to the spread of the drop size distribution is presented. Furthermore, the uncertainties in ε introduced by signal-to-noise conditions, the estimation of the horizontal wind, the selection of the averaging time window, and the presence of precipitation are discussed in detail.« less
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