Using a multiwavelength suite of microwave instruments to investigate the microphysical structure of deep convective cores

Abstract Due to the large natural variability of its microphysical properties, the characterization of solid precipitation is a longstanding problem. Since in situ observations are unavailable in severe convective systems, innovative remote sensing retrievals are needed to extend our understanding of such systems. This study presents a novel technique able to retrieve the density, mass, and effective diameter of graupel and hail in severe convection through the combination of airborne microwave remote sensing instruments. The retrieval is applied to measure solid precipitation properties within two convective cells observed on 23–24 May 2014 over North Carolina during the IPHEx campaign by the NASA ER‐2 instrument suite. Between 30 and 40 degrees of freedom of signal are associated with the measurements, which is insufficient to provide full microphysics profiling. The measurements have the largest impact on the retrieval of ice particle sizes, followed by ice water contents. Ice densities are mainly driven by a priori assumptions, though low relative errors in ice densities suggest that in extensive regions of the convective system, only particles with densities larger than 0.4 g/cm3 are compatible with the observations. This is in agreement with reports of large hail on the ground and with hydrometeor classification derived from ground‐based polarimetric radars observations. This work confirms that multiple scattering generated by large ice hydrometeors in deep convection is relevant for airborne radar systems already at Ku band. A fortiori, multiple scattering will play a pivotal role in such conditions also for Ku band spaceborne radars (e.g., the GPM Dual Precipitation Radar).

[1]  P. Barber Absorption and scattering of light by small particles , 1984 .

[2]  Rebecca D. Adams-Selin,et al.  Impact of Graupel Parameterization Schemes on Idealized Bow Echo Simulations , 2013 .

[3]  Sergey Y. Matrosov,et al.  A Dual-Wavelength Radar Method to Measure Snowfall Rate , 1998 .

[4]  Will Manning,et al.  Combined Radiometer-Radar Microphysical Profile Estimations with Emphasis on High Frequency Brightness Temperature Observations , 2013 .

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

[6]  Robert F. Cahalan,et al.  A Variational Method to Retrieve the Extinction Profile in Liquid Clouds Using Multiple-Field-of-View Lidar , 2012 .

[7]  K. V. Weverberg Impact of Environmental Instability on Convective Precipitation Uncertainty Associated with the Nature of the Rimed Ice Species in a Bulk Microphysics Scheme , 2013 .

[8]  Simone Tanelli,et al.  Polarization Diversity for Millimeter Spaceborne Doppler Radars: An Answer for Observing Deep Convection? , 2013 .

[9]  Lihua Li,et al.  Airborne Radar Observations of Severe Hailstorms: Implications for Future Spaceborne Radar , 2013 .

[10]  Robin J. Hogan,et al.  A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer , 2008 .

[11]  Clemens Simmer,et al.  Profiling Cloud Liquid Water by Combining Active and Passive Microwave Measurements with Cloud Model Statistics , 2001 .

[12]  William S. Olson,et al.  Structure of Florida Thunderstorms Using High-Altitude Aircraft Radiometer and Radar Observations , 1996 .

[13]  S. Cooper,et al.  Retrieving co‐occurring cloud and precipitation properties of warm marine boundary layer clouds with A‐Train data , 2016 .

[14]  Robert Meneghini,et al.  Spaceborne Weather Radar , 1990 .

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

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

[17]  A. Heymsfield,et al.  Characteristics of Deep Tropical and Subtropical Convection from Nadir-Viewing High-Altitude Airborne Doppler Radar , 2010 .

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

[19]  Martin Perrine,et al.  The NASA High-Altitude Imaging Wind and Rain Airborne Profiler , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Clemens Simmer,et al.  Evaluation of Radar Multiple-Scattering Effects from a GPM Perspective. Part I: Model Description and Validation , 2006 .

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

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

[23]  H. Maring,et al.  Journal of Geophysical Research , 1949, Nature.

[24]  Roger Lhermitte,et al.  Attenuation and Scattering of Millimeter Wavelength Radiation by Clouds and Precipitation , 1990 .

[25]  Nigel Roberts,et al.  Characteristics of high-resolution versions of the Met Office unified model for forecasting convection over the United Kingdom , 2008 .

[26]  Pavlos Kollias,et al.  Millimeter-Wavelength Radars: New Frontier in Atmospheric Cloud and Precipitation Research , 2007 .

[27]  Richard H. Johnson,et al.  Examination of Gravity Waves Associated with the 13 March 2003 Bow Echo , 2013 .

[28]  Clive D Rodgers,et al.  Inverse Methods for Atmospheric Sounding: Theory and Practice , 2000 .

[29]  Paul Racette,et al.  A 94-GHz Cloud Radar System on a NASA High-Altitude ER-2 Aircraft , 2004 .

[30]  Robert Meneghini,et al.  A Study on the Feasibility of Dual-Wavelength Radar for Identification of Hydrometeor Phases , 2011 .

[31]  S. Ellis,et al.  Liquid water content estimates using simultaneous S and Ka band radar measurements , 2011 .

[32]  Jason A. Milbrandt,et al.  Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations , 2011 .

[33]  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.

[34]  Graeme L. Stephens,et al.  An Estimation-Based Precipitation Retrieval Algorithm for Attenuating Radars , 2002 .

[35]  E. Anagnostou,et al.  Retrieval of Precipitation Profiles from Multiresolution, Multifrequency, Active and Passive Microwave Observations , 2004 .

[36]  Ziad S. Haddad,et al.  The TRMM 'Day-1' Radar/Radiometer Combined Rain-Profiling Algorithm , 1997 .

[37]  Simone Tanelli,et al.  A Robust Dual-Frequency Radar Profiling Algorithm , 2011 .

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

[39]  Clemens Simmer,et al.  Evaluation of Radar Multiple-Scattering Effects from a GPM Perspective. Part II: Model Results , 2006 .

[40]  Tristan L'Ecuyer,et al.  Combining Satellite Microwave Radiometer and Radar Observations to Estimate Atmospheric Heating Profiles , 2009 .

[41]  Eric A. Smith,et al.  Foundations for statistical-physical precipitation retrieval from passive microwave satellite measurements. II: Emission-source and generalized weighting-function properties of a time-dependent cloud-radiation model , 1993 .

[42]  Gregory Thompson,et al.  Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes , 2015 .

[43]  Sergey Y. Matrosov,et al.  Effects of Multiple Scattering on Attenuation-Based Retrievals of Stratiform Rainfall from CloudSat , 2008 .

[44]  Toshio Iguchi,et al.  Uncertainties in the Rain Profiling Algorithm for the TRMM Precipitation Radar(1. Precipitation Radar (PR), Precipitation Measurements from Space) , 2009 .

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

[46]  P. Kollias,et al.  Disentangling Mie and attenuation effects in rain using a Ka‐W dual‐wavelength Doppler spectral ratio technique , 2013 .

[47]  Frank S. Marzano,et al.  Emission and scattering by clouds and precipitation , 2006 .

[48]  Nicolas Gaussiat,et al.  Stratocumulus Liquid Water Content from Dual-Wavelength Radar , 1999 .

[49]  Simone Tanelli,et al.  Simultaneous measurements of ku- and ka-band sea surface cross sections by an airborne Radar , 2006, IEEE Geoscience and Remote Sensing Letters.

[50]  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.

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

[52]  Christian D. Kummerow,et al.  On the accuracy of the Eddington approximation for radiative transfer in the microwave frequencies , 1993 .

[53]  Mathew R. Schwaller,et al.  NASA GPM-Ground Validation: Integrated Precipitation and Hydrology Experiment 2014 Science Plan. , 2014 .

[54]  H. Morrison,et al.  Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests , 2015 .

[55]  H. Michael Goodman,et al.  Precipitation retrieval over land and ocean with the SSM/I - Identification and characteristics of the scattering signal , 1989 .

[56]  Pengfei Zhang,et al.  Potential Utilization of Specific Attenuation for Rainfall Estimation, Mitigation of Partial Beam Blockage, and Radar Networking , 2014 .

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

[58]  E. Zipser,et al.  Retrieval of Hydrometeor Profiles in Tropical Cyclones and Convection from Combined Radar and Radiometer Observations , 2006 .

[59]  S. Joseph Munchak,et al.  A Modular Optimal Estimation Method for Combined Radar–Radiometer Precipitation Profiling , 2011 .

[60]  Steven A. Rutledge,et al.  The 29 June 2000 Supercell Observed during STEPS. Part I: Kinematics and Microphysics , 2005 .

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

[62]  Lihua Li,et al.  Retrieving optically thick ice cloud microphysical properties by using airborne dual‐wavelength radar measurements , 2005 .