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Why it is important that ice particles are Smarties not Gobstoppers to a radar

Understand the significance of using Smarties-shaped ice particles for radar analysis over Gobstoppers to avoid errors in interpreting radar reflectivity and ice water content. Learn about the impact of particle size and shape on measurements and explore improved modeling approaches.

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Why it is important that ice particles are Smarties not Gobstoppers to a radar

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  1. Why it is important that ice particles are Smarties not Gobstoppers to a radar Robin Hogan, Chris Westbrook University of Reading Lin Tian NASA Goddard Space Flight Center Phil Brown Met Office

  2. Introduction and overview • To interpret 94-GHz radar reflectivity in ice clouds we need • Particle mass: Rayleigh scattering up to ~0.5 microns: Z mass2 • Particle shape: non-Rayleigh scattering above ~0.5 microns, Z also depends on the dimension of the particle in the direction of propagation of the radiation • Traditional approach: • Ice particles scatter as spheres (use Mie theory) • Diameter equal to the maximum dimension of the true particle • Refractive index of a homogeneous mixture of ice and air • New observations to test and improve this assumption: • Dual-wavelength radar and simultaneous in-situ measurements • “Differential reflectivity” and simultaneous in-situ measurements • Consequences: • Up to 5-dB error in interpretted reflectivity • Up to a factor of 5 overestimate in the IWC of the thickest clouds

  3. Dual-wavelength ratio comparison Error 2: large overestimate in the dual-wavelength ratio, or the “Mie effect” • NASA ER-2 aircraft in tropical cirrus 10 GHz, 3 cm Error 1: constant 5-dB overestimate of Rayleigh-scattering reflectivity 10 GHz, 3 cm 94 GHz, 3.2 mm 94 GHz, 3.2 mm Difference

  4. Characterizing particle size • An image measured by aircraft can be approximated by a... Sphere (but which diameter do we use?) Spheroid (oblate or prolate?) Note: Dmax Dlong Dmean=(Dlong+Dshort)/2

  5. Error 1: Rayleigh Z overestimate • Brown and Francis (1995) proposed mass[kg]=0.0185 Dmean[m]1.9 • Appropriate for aggregates which dominate most ice clouds • Rayleigh reflectivity Z mass2 • Good agreement between simultaneous aircraft measurements of Z found by Hogan et al (2006) • But most aircraft data world-wide characterized by maximum particle dimension Dmax • This particle has Dmax = 1.24 Dmean • If Dmax used in Brown and Francis relationship, mass will be 50% too high • Z will be too high by 126% or 3.6 dB • Explains large part of ER-2 discrepancy

  6. Particle shape Randomly oriented in aircraft probe: • We propose ice is modelled as Smarties rather than Gobstoppers! • Korolev and Isaac (2003) found typical aspect ratio a =Dshort/Dlong of 0.6-0.65 • Aggregate modelling by Westbrook et al. (2004) found a value of 0.65 Horizontally oriented in free fall:

  7. Error 2: Non-Rayleigh overestimate Transmitted wave Spheroid Sphere Sphere: returns from opposite sides of particle out of phase: cancellation Spheroid: returns from opposite sides not out of phase: higher Z

  8. Useful scattering approximations • Dense particles smaller than the wavelength: • Rayleigh theory: spheres • Gans (1912) theory: ellipsoids • Rayleigh-Gans theory: arbitrary shapes of low refractive index • Backscatter cross-section given by: • where: • Function for spheroids is: • Resulting backscatter cross-section:

  9. Modified Rayleigh-Gans • But ice particles are only low density (and therefore low refractive index) when they are large • Merge Rayleigh-Gans theory (large, low density) with Gans (1912) theory (small, arbitrary density): Gans-Rayleigh-Gans theory? • Result: • where: • Integrate over a distribution to get the radar reflectivity factor:

  10. Independent verification: Z dr • A scanning polarized radar measures differential reflectivity, defined as: Zdr = 10log10(Zh/Zv) Dshort/Dlong: Solid-ice oblate spheroid Dependent on both aspect ratio and density (or ice fraction) If ice particles were spherical, Zdr would be zero! Solid-ice sphere Sphere: 30% ice, 70% air

  11. Chilbolton 10-cm radar + UK aircraft • Reflectivity agrees well, provided Brown & Francis mass used with Dmean • Differential reflectivity agrees reasonably well for oblate spheroids CWVC IV: 21 Nov 2000

  12. The CIRRAD flight, 8 Oct 1997

  13. CWVC IV: 21 Nov 2000

  14. CWVC III: 20 Oct 2000

  15. CWVC IV: 21 Nov 2000

  16. POL-45 Rain: differential attenuation Cirrus: aggregates Mixed-phase: plates & dendrites • 35-GHz radar reflectivity at 45 degrees • 35-GHz differential reflectivity at 45 degrees • 905-nm lidar backscatter at vertical

  17. One month of data from a 35-GHz (8-mm wavelength) radar at 45° elevation Around 75% of ice clouds sampled have Zdr< 1.3 dB, and even more for clouds colder than -15°C This supports the model of oblate spheroids For clouds warmer than -15°C, much higher Zdr is possible Case studies suggest that this is due to high-density pristine plates and dendrites in mixed-phase conditions (Hogan et al. 2002, 2003; Field et al. 2004) Z dr statistics

  18. Empirical formulas derived from aircraft will be affected, as well as any algorithm using radar: Consequences for IWC retrievals Retrieved IWC can be out by a factor of 5 using spheres with diameter Dmax Radar reflectivity ~5 dB higher with spheroids Raw aircraft data Empirical IWC(Z,T) fit Spheres with D =Dmax Hogan et al. (2006) fit New spheroids Note: the mass of the particles in these three examples are the same

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