Bulk Hydrometeor Classification and Quantification Using Polarimetric Radar Data: Synthesis of Relations

By Jerry M. Straka, Dusan S. Zrnic, Alexander V. Ryzhkov. 2000

550 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/dd78daa3d44166e951a03574a39fdd27f553e019

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Citations in the corpus

Precipitation and Evolution Sensitivity in Simulated Deep Convective Storms: Comparisons between Liquid-Only and Simple Ice and Liquid Phase Microphysics* (2004, methodology): “This evaluation may require a careful comparison of the predictions among various microphysical schemes and polarimetric radar retrievals [as suggested by Straka et al. (2000)].”
A Robust C-Band Hydrometeor Identification Algorithm and Application to a Long-Term Polarimetric Radar Dataset (2013, methodology): “Simulated S-band values were compared with a number of sources (Straka et al. 2000; Tessendorf et al. 2005) and were thus determined to be physically representative of hail, lending confidence to the microphysical parameters used in the simulations.”
Weather radar and hydrology (2009, methodology): “zen hydrometeors [67] prior to the application of specific rainrate estimators using various combinations of the radar measurables”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “…algorithms provide some operational value in comparisons to simulations (e.g., Dolan & Rutledge, 2009; Liu & Chandrasekar, 2000; Park et al., 2009; Straka et al., 2000; Vivekanandan et al., 1999) but impose predefined categories that may have overlapping radar signatures, do not span the…”
The relationship between lightning activity and ice fluxes in thunderstorms (2008, methodology): “Only focusing on the reflectivity membership function for example, the Graupel/Small hail and Hail categories overlap between 48 dBZ and 55 dBZ herein similar to what is suggested by Straka et al. [2000] or Doviak and Zrnic [1993].”
A Theory-Based Hydrometeor Identification Algorithm for X-Band Polarimetric Radars (2009, unknown): “To date, polarimetric-based hydrometeor identiﬁcation (HID) algorithms have been appliedtodata from primarily S-band (10–11 cm) radars (Vivekanandan et al. 1999; Liu and Chandrasekar 2000; Straka et al. 2000, hereafter S00; Ryzhkov et al. 2005; Tessendorf et al. 2005).”
Principles and applications of dual-polarization weather radar. Part II: Warm- and cold-season applications (2013, methodology): “Such methods were refined and expanded by Höller et al. (1994), Vivekanandan et al. (1999), Straka et al. (2000), Liu and Chadrasekar (2000), Lim et al. (2005), Ryzhkov et al. (2005a), Dolan and Rutledge (2009), and Dolan et al. (2013).”
The Impact of Size Sorting on the Polarimetric Radar Variables (2012, methodology): “…of such features led to the inclusion of a ‘‘big drops’’ category in the polarimetric hydrometeor classification algorithm to be implemented in the nationwide Weather Surveillance Radar-1988 Doppler (WSR-88D) radar network dualpolarization upgrade (e.g., Straka et al. 2000; Park et al. 2009).”
Close-Range Observations of Tornadoes in Supercells Made with a Dual-Polarization, X-Band, Mobile Doppler Radar (2007, methodology): “Polarimetric radars have been used to discriminate among various types of hydrometeors, owing to their different shapes and composition (e.g., Zrnic and Ryzh-kov 1999; Straka et al. 2000; Bringi and Chandrasekar 2001 .”
Testing a Procedure for Automatic Classification of Hydrometeor Types (2001, methodology): “The pair Zh, rhv produces the least reliable classification due to extensive overlap of discrimination regions (Straka et al. 2000).”
Assimilation of Simulated Polarimetric Radar Data for a Convective Storm Using the Ensemble Kalman Filter. Part I: Observation Operators for Reflectivity and Polarimetric Variables (2008, background): “Nevertheless, in the simplest form, they can be approximated to fall with the major axis aligned horizontally (Straka et al. 2000).”
Inverted-polarity electrical structures in thunderstorms in the Severe Thunderstorm Electrification and Precipitation Study (STEPS) (2005, methodology): “5 A detailed review of +CG hypotheses is provided in Williams (2001), and a schematic representation of these hypotheses can be found in Fig.”
Comparison of Advanced Radar Polarimetric Techniques for Operational Attenuation Correction at C Band (2008, methodology): “From scattering simulations based on the T-matrix solution technique (Mishchenko 2000), the microphysical parameterization summarized in Straka et al. (2000), and assuming temperature variations between 5° and 30°C, it can be argued (see Fig.”