Bragg Scatter Detection by the WSR-88D. Part I: Algorithm Development
暂无分享,去创建一个
Robert R. Lee | V. Melnikov | L. Richardson | J. Cunningham | W. D. Zittel | R. Ice | Nicole P. Hoban | Joshua G. Gebauer
[1] David Atlas,et al. METEROROLOGICAL “ANGEL” ECHOES , 1959 .
[2] H. Óttersten,et al. Atmospheric Structure and Radar Backscattering in Clear Air , 1969 .
[3] K. Hardy,et al. Radar investigations of convective patterns in the clear atmosphere. , 1969 .
[4] R. Scotti,et al. Measurements on the Growth of Small Disturbances in a Stratified Shear Layer , 1969 .
[5] S. Thorpe. Experiments on the Stability of Stratified Shear Flows , 1969 .
[6] I. Katz,et al. Probing the clear atmosphere with high power, high resolution radars , 1969 .
[7] F. Pasqualucci,et al. Estimating the Depth of the Daytime Convective Boundary Layer , 1982 .
[8] Donald W. Burgess,et al. Recording, Archiving, and Using WSR-88D Data , 1993 .
[9] C. Knight,et al. First radar echoes from cumulus clouds , 1993 .
[10] S. Cohn. Investigations of the Wavelength Dependence of Radar Backscatter from Atmospheric Turbulence , 1994 .
[11] D. A. Carter,et al. Interactions between clear‐air reflective layers and rain observed with a boundary layer wind profiler , 1995 .
[12] C. Knight,et al. Early Radar Echoes from Small, Warm Cumulus: Bragg and Hydrometeor Scattering , 1998 .
[13] P. Duynkerke,et al. Entrainment Parameterization in Convective Boundary Layers , 1999 .
[14] Warner L. Ecklund,et al. Use of Two Profilers during MCTEX for Unambiguous Identification of Bragg Scattering and Rayleigh Scattering , 1999 .
[15] W. Briggs. Statistical Methods in the Atmospheric Sciences , 2007 .
[16] Valery M. Melnikov,et al. Autocorrelation and Cross-Correlation Estimators of Polarimetric Variables , 2007 .
[17] D. Stensrud. Planetary boundary layer and turbulence parameterizations , 2007 .
[18] Gunilla Svensson,et al. On the Scale-dependence of the Gradient Richardson Number in the Residual Layer , 2008 .
[19] K. Elmore,et al. Radar Reflectivity–Based Estimates of Mixed Layer Depth , 2009 .
[20] David J. Stensrud,et al. Mapping Bragg Scatter with a Polarimetric WSR-88D , 2011 .
[21] Methods for Identifying Systematic Differential Reflectivity (Zdr) Biases on the Operational WSR-88D Network , 2013 .
[22] R. Rauber,et al. A Revised Conceptual Model of the Tropical Marine Boundary Layer. Part II: Detecting Relative Humidity Layers Using Bragg Scattering from S-Band Radar , 2013 .
[23] Sebastián M. Torres,et al. Radial-Based Noise Power Estimation for Weather Radars , 2013 .
[24] R. Rauber,et al. A Revised Conceptual Model of the Tropical Marine Boundary Layer. Part III: Bragg Scattering Layer Statistical Properties , 2013 .
[25] D. Stensrud,et al. Structures of Bragg Scatter Observed with the Polarimetric WSR-88D , 2013 .
[26] Igor R. Ivic,et al. Effects of Radial-Based Noise Power Estimation on Spectral Moment Estimates , 2014 .
[27] Igor R. Ivic. On the Use of a Radial-Based Noise Power Estimation Technique to Improve Estimates of the Correlation Coefficient on Dual-Polarization Weather Radars , 2014 .
[28] Robert R. Lee,et al. Bragg Scatter Detection by the WSR-88D. Part II: Assessment of ZDR Bias Estimation , 2017 .
[29] Nicole P. Hoban. Estimating Systematic WSR-88 D Differential Reflectivity ( Z DR ) Biases Using Bragg Scattering , 2022 .