icepart-mod (ARM): Polarimetric Scattering Database for Non-spherical Ice Particles at Microwave Wavelengths

Lu, Y., Jiang, Z., Aydin, K., Verlinde, J., Clothiaux, E. E., and Botta, G.: A polarimetric scattering database for non-spherical ice particles at microwave wavelengths, Atmos. Meas. Tech., 9, 5119-5134,, 2016.
Link to the database
Eugene Clothiaux
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Types of particles

pristine crystals, aggregates


X, Ka, Ku, W-Band

Scattering properties



Random orientations?


Shapefiles included?


Scattering method(s)


Scattering method details


Description of the work

The atmospheric science community has entered a period in which radiative scattering properties in the microwave of realistically constructed ice particles are necessary for making progress on a number of fronts. Ice scattering properties are needed to construct forward operators to simulate microwave remote sensing observation signals from ice- and mixed-phase cloudy regions. These operators are needed for retrieval of ice-particle properties from ground-, airborne- and satellite-based radar and radiometer observations, evaluation of model microphysics, and data assimilation applications. Over the past decade investigators have developed databases of ice-particle scattering properties in the microwave and made them openly available. Motivated by, and complementing these earlier efforts, a database containing polarimetric single-scattering properties of various types of ice particles at millimeter to centimeter wavelengths is presented. This database is complementary to earlier ones in that it contains complete (polarimetric) scattering property information for each ice particle - 44 plates, 30 columns, 405 branched planar crystals, 660 aggregates, and 640 conical graupel - and direction of incident radiation but is limited to four frequencies (W-, Ka-, Ku- and X-bands), does not include temperature dependencies of the single-scattering properties and does not include scattering properties averaged over randomly oriented ice particles. Rules for constructing the morphologies of ice particles from one database to the next often differ; consequently, analyses that incorporate all of the different databases will contain the most variability, while illuminating important differences between them.
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