Global Precipitation Measuring Dual-Frequency Precipitation Radar Observations of Hailstorm Vertical Structure: Current Capabilities and Drawbacks

A statistical analysis of simultaneous observations of more than 800 hailstorms over the continental United States performed by the Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) and the ground-based Next Generation Weather Radar (NEXRAD) network has been carried out. Several distinctive features of DPR measurements of hail-bearing columns, potentially exploitable by hydrometeor classification algorithms, are identified. In particular, the height and the strength of the Ka-band reflectivity peak show a strong relationship with the hail shaft area within the instrument field of view (FOV). Signatures of multiple scattering (MS) at the Ka band are observed for a range of rimed particles, including but not exclusively for hail. MS amplifies uncertainty in the effective Ka reflectivity estimate and has a negative impact on the accuracy of dual-frequency rainfall retrievals at the ground. The hydrometeor composition of convective cells presents a large inhomogeneity within the DPR FOV. Strong nonuniform beamfilling (NUBF) introduces large ambiguities in the attenuation correction at Ku and Ka bands, which additionally hamper quantitative retrievals. The effective detection of profiles affected by MS is a very challenging task, since the inhomogeneity within the DPR FOV may result in measurements that look remarkably like MS signatures. The shape of the DPR reflectivity profiles is the result of the complex interplay between the scattering properties of the different hydrometeors, NUBF, and MS effects, which significantly reduces the ability of the DPR system to detect hail at the ground.

[1]  D. Cecil,et al.  Signatures of Hydrometeor Species from Airborne Passive Microwave Data for Frequencies 10–183 GHz , 2015 .

[2]  R. Donaldson ANALYSIS OF SEVERE CONVECTIVE STORMS OBSERVED BY RADAR-II , 1958 .

[3]  Simone Tanelli,et al.  Predicted Effects of Nonuniform Beam Filling on GPM Radar Data , 2008, IEEE Geoscience and Remote Sensing Letters.

[4]  Alexander Khain,et al.  Polarimetric Radar Characteristics of Melting Hail. Part I: Theoretical Simulations Using Spectral Microphysical Modeling , 2013 .

[5]  S. Durden,et al.  Impact of non-uniform beam filling on spaceborne cloud and precipitation radar retrieval algorithms , 2012, Asia-Pacific Environmental Remote Sensing.

[6]  Tracy Depue,et al.  Performance of the Hail Differential Reflectivity (HDR) Polarimetric Radar Hail Indicator , 2007 .

[7]  V. Chandrasekar,et al.  Precipitation Type Classification Method for Dual-Frequency Precipitation Radar (DPR) Onboard the GPM , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Z. Haddad,et al.  Constraining CloudSat‐based snowfall profiles using surface observations and C‐band ground radar , 2011 .

[9]  Daniel J. Cecil,et al.  Passive Microwave Brightness Temperatures as Proxies for Hailstorms , 2009 .

[10]  Wayne E. McGovern,et al.  The WSR-88D Severe Weather Potential Algorithm , 1995 .

[11]  A. Witt,et al.  An Enhanced Hail Detection Algorithm for the WSR-88D , 1998 .

[12]  A. Ryzhkov,et al.  Polarimetric Radar Characteristics of Melting Hail. Part III: Validation of the Algorithm for Hail Size Discrimination , 2016 .

[13]  Ralph Ferraro,et al.  A prototype hail detection algorithm and hail climatology developed with the advanced microwave sounding unit (AMSU) , 2015 .

[14]  Qinghong Zhang,et al.  On the Detection of Hail Using Satellite Passive Microwave Radiometers and Precipitation Radar , 2017 .

[15]  David P. Yorty,et al.  WHERE ARE THE MOST INTENSE THUNDERSTORMS ON EARTH , 2006 .

[16]  A. H. Auer,et al.  Hail recognition through the combined use of radar reflectivity and cloud-top temperatures , 1994 .

[17]  Clemens Simmer,et al.  How Does Multiple Scattering Affect the Spaceborne W-Band Radar Measurements at Ranges Close to and Crossing the Sea-Surface Range? , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Edward J. Zipser,et al.  A Census of Precipitation Features in the Tropics Using TRMM: Radar, Ice Scattering, and Lightning Observations , 2000 .

[19]  V. Chandrasekar,et al.  Microwave radar signatures of precipitation from S band to Ka band: application to GPM mission , 2012 .

[20]  A. Hou,et al.  The Global Precipitation Measurement Mission , 2014 .

[21]  D. Cecil Relating Passive 37-GHz Scattering to Radar Profiles in Strong Convection , 2011 .

[22]  D. Cecil,et al.  Toward a Global Climatology of Severe Hailstorms as Estimated by Satellite Passive Microwave Imagers , 2012 .

[23]  Clemens Simmer,et al.  Multiple-scattering in radar systems: A review , 2010 .

[24]  R. Meneghini,et al.  Uncertainties of GPM DPR Rain Estimates Caused by DSD Parameterizations , 2014 .

[25]  Gerald M. Heymsfield,et al.  Using a multiwavelength suite of microwave instruments to investigate the microphysical structure of deep convective cores , 2016, Journal of geophysical research. Atmospheres : JGR.

[26]  S. Tanelli,et al.  Multiple scattering in observations of the GPM dual‐frequency precipitation radar: Evidence and impact on retrievals , 2015, Journal of geophysical research. Atmospheres : JGR.

[27]  R. Meneghini,et al.  Modified Hitschfeld-Bordan Equations for Attenuation-Corrected Radar Rain Reflectivity: Application to Nonuniform Beamfilling at Off-Nadir Incidence , 2013 .

[28]  Simone Tanelli,et al.  Hail-Detection Algorithm for the GPM Core Observatory Satellite Sensors , 2017 .

[29]  Giulia Panegrossi,et al.  Observational analysis of an exceptionally intense hailstorm over the Mediterranean area: Role of the GPM Core Observatory , 2017 .

[30]  Simone Tanelli,et al.  The Dual Wavelength Ratio Knee: A Signature of Multiple Scattering in Airborne Ku-Ka Observations , 2014 .

[31]  Alessandro Battaglia,et al.  Fast Lidar and Radar Multiple-Scattering Models. Part II: Wide-Angle Scattering Using the Time-Dependent Two-Stream Approximation , 2008 .

[32]  Alexander V. Ryzhkov,et al.  Validation of Polarimetric Hail Detection , 2006 .

[33]  Kevin A. Scharfenberg,et al.  THE SEVERE HAZARDS ANALYSIS AND VERIFICATION EXPERIMENT , 2009 .

[34]  Alexander V. Ryzhkov,et al.  Comparison of Dual-Polarization Radar Estimators of Rain , 1995 .

[35]  Simone Tanelli,et al.  Multiple-Scattering-Induced “Ghost Echoes” in GPM DPR Observations of a Tornadic Supercell , 2016 .

[36]  Katsuhiro Nakagawa,et al.  Reduction of Nonuniform Beam Filling Effects by Vertical Decorrelation: Theory and Simulations , 2013 .

[37]  C. Kummerow,et al.  The Tropical Rainfall Measuring Mission (TRMM) Sensor Package , 1998 .

[38]  Brenda Dolan,et al.  A Theory-Based Hydrometeor Identification Algorithm for X-Band Polarimetric Radars , 2009 .

[39]  V. Chandrasekar,et al.  A Robust C-Band Hydrometeor Identification Algorithm and Application to a Long-Term Polarimetric Radar Dataset , 2013 .

[40]  Toshio Iguchi,et al.  Nonuniform Beamfilling Correction for Spaceborne Radar Rainfall Measurement: Implications from TOGA COARE Radar Data Analysis , 1999 .

[41]  D. Short,et al.  Reduction of Nonuniform Beamfilling Effects by Multiple Constraints: A Simulation Study , 2015 .

[42]  A. Waldvogel,et al.  Criteria for the Detection of Hail Cells , 1979 .