TITLE

Assessment of Censoring Using Coherency-Based Detectors on Dual-Polarized Weather Radar

AUTHOR(S)
Ivić, Igor R.; Keränen, Reino; Zrnić, Dušan S.
PUB. DATE
August 2014
SOURCE
Journal of Atmospheric & Oceanic Technology;Aug2014, Vol. 31 Issue 8, p1694
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In Doppler weather radars, signals may exhibit coherency in sample time, whereas noise does not. Additionally, in dual-polarized radars, samples of precipitation echo obtained in the two orthogonally polarized channels are substantially more correlated than samples of noise. Therefore, estimates of auto- and cross correlations can be used individually, collectively, and/or with power measurements to enhance detection of precipitation signals, compared to the approach that uses only power estimates from one channel. A possible advantage of using only estimates of coherency for signal detection is that the detector's performance is less sensitive to errors in noise power measurements. Hence, censoring is more likely to produce desired false alarm rates even if nonnegligible uncertainties are present in the noise power estimates. In this work these aspects are considered using real data from weather radars. Three novel censoring approaches are evaluated and compared to the censoring approach that uses only estimates of signal and noise powers. The first approach uses only cross-correlation measurements, and the second approach combines these with the lag-1 autocorrelation estimates. The third approach utilizes all estimates as in the previous two approaches in combination with power measurements from the horizontal and the vertical channels. Herein, it is shown that, when more accurate measurements of noise powers are available, the third approach produces the highest detection rates followed by the second and the first approaches. Also, it is corroborated that the first and the second approaches exhibit less sensitivity to inaccurate system noise power measurements than the third one.
ACCESSION #
97381916

 

Related Articles

  • Detection and Estimation of Radar Reflectivity from Weak Echo of Precipitation in Dual-Polarized Weather Radars. Keränen, Reino; Chandrasekar, V. // Journal of Atmospheric & Oceanic Technology;Aug2014, Vol. 31 Issue 8, p1677 

    In operational weather radar, precipitation echoes are often weak when compared to the underlying noise. Coherence properties of dual polarization can be used for enhancing the detection and for the improved estimation of weak echoes of precipitation. The enhanced detectability results from...

  • Radar, from globe to street. Anderson, Karen // Broadcasting & Cable;12/21/98, Vol. 128 Issue 52, p40 

    Focuses on the advanced radar technology used in broadcast meteorology in the United States in the 1990s. Spending of the radar technology; How broadcasters cope with the high cost of the technology; Description of the Doppler radar network of the National Weather Service's NEXRAD system. ...

  • Quality Assessment of Weather Radar Wind Profiles during Bird Migration. Holleman, Iwan; van Gasteren, Hans; Bouten, Willem // Journal of Atmospheric & Oceanic Technology;Dec2008, Vol. 25 Issue 12, p2188 

    Wind profiles from an operational C-band Doppler radar have been combined with data from a bird tracking radar to assess the wind profile quality during bird migration. The weather radar wind profiles (WRWPs) are retrieved using the well-known volume velocity processing (VVP) technique. The...

  • The King City Operational Doppler Radar: Development, All-Season Applications and Forecasting. Crozier, C. L.; Joe, P. I.; Scott, J. W.; Herscovitch, H. N.; Nichols, T. R. // Atmosphere -- Ocean (Canadian Meteorological & Oceanographic Soc;Sep1991, Vol. 29 Issue 3, p479 

    In 1985, the first Doppler weather radar to operate in Canada was established by the Research Directorate of the Atmospheric Environment Service (AES) at a site in King City, north of Toronto, Ontario. The initial thrust of the research program immediately recognized the advances Doppler...

  • Assimilation of Doppler weather radar observations in a mesoscale model for the prediction of rainfall associated with mesoscale convective systems. Abhilash, S.; Das, Someshwar; Kalsi, S. R.; Gupta, M. Das; Mohankumar, K.; George, J. P.; Banerjee, S. K.; Thampi, S. B.; Pradhan, D. // Journal of Earth System Science;Aug2007, Vol. 116 Issue 4, p275 

    Obtaining an accurate initial state is recognized as one of the biggest challenges in accurate model prediction of convective events. This work is the first attempt in utilizing the India Meteorological Department (IMD) Doppler radar data in a numerical model for the prediction of mesoscale...

  • Real-Time Implementation of Single-Doppler Radar Analysis Methods for Tropical Cyclones: Algorithm Improvements and Use with WSR-88D Display Data. Harasti, Paul R.; McAdie, Colin J.; Dodge, Peter P.; Wen-Chau Lee; Tuttle, John; Murtillo, Shirley T.; Marks Jr., Frank D. // Weather & Forecasting;Apr2004, Vol. 19 Issue 2, p219 

    The NOAA/NWS/NCEP/Tropical Prediction Center/National Hurricane Center has sought techniques that use single-Doppler radar data to estimate the tropical cyclone wind field. A cooperative effort with NOAA/Atlantic Oceanographic and Meteorological Laboratory/Hurricane Research Division and NCAR...

  • The S2K Severe Weather Detection Algorithms and Their Performance. Joe, Paul; Burgess, Don; Potts, Rod; Keenan, Tom; Stumpf, Greg; Treloar, Andrew // Weather & Forecasting;Feb2004, Vol. 19 Issue 1, p43 

    One of the main goals of the Sydney 2000 Forecast Demonstration Project was to demonstrate the efficacy and utility of automated severe weather detection radar algorithms. As a contribution to this goal, this paper describes the radar-based severe weather algorithms used in the project, their...

  • Doppler Radar Wind Data Assimilation with HIRLAM 3DVAR. Lindskog, M.; Salonen, K.; Järvinen, H.; Michelson, D. B. // Monthly Weather Review;May2004, Vol. 132 Issue 5, p1081 

    A Doppler radar wind data assimilation system has been developed for the three-dimensional variational data assimilation (3DVAR) scheme of the High Resolution Limited Area Model (HIRLAM). Radar wind observations can be input for the multivariate HIRLAM 3DVAR either as radial wind...

  • Disseminating NEXRAD Data via Packet. Horzepa, Stan // QST;Sep2004, Vol. 88 Issue 9, p81 

    Focuses on the dissemination of the Next Generation Weather Radar (NEXRAD) system via packet switching for weather forecasting in the U.S. Use of a radial coordinate system with the NEXRAD reflectivity and velocity data; Availability of computer software to create viewable images from the NEXRAD...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics