TY - JOUR
T1 - Variability in millimeter wave scattering properties of dendritic ice crystals
AU - Botta, Giovanni
AU - Aydin, Kültegin
AU - Verlinde, Johannes
N1 - Funding Information:
This research was supported by the U.S. Department of Energy's Atmospheric Science Program Atmospheric System Research, an Office of Science, Office of Biological and Environmental Research program , under Grant no. DE-FG02-05ER64058 . Computations were performed on the Pennsylvania State University Research Computing and Cyberinfrastructure (RCC) Cluster. The authors acknowledge discussions with Eugene Clothiaux and Yinghui Lu during the course of the project.
PY - 2013/12
Y1 - 2013/12
N2 - A detailed electromagnetic scattering model for ice crystals is necessary for calculating radar reflectivity from cloud resolving model output in any radar simulator. The radar reflectivity depends on the backscattering cross sections and size distributions of particles in the radar resolution volume. The backscattering cross section depends on the size, mass and distribution of mass within the crystal. Most of the available electromagnetic scattering data for ice hydrometeors rely on simple ice crystal types and a single mass-dimensional relationship for a given type. However, a literature survey reveals that the mass-dimensional relationships for dendrites cover a relatively broad region in the mass-dimensional plane. This variability of mass and mass distribution of dendritic ice crystals cause significant variability in their backscattering cross sections, more than 10. dB for all sizes (0.5-5. mm maximum dimension) and exceeding 20. dB for the larger ones at X-, Ka-, and W-band frequencies. Realistic particle size distributions are used to calculate radar reflectivity and ice water content (IWC) for three mass-dimensional relationships. The uncertainty in the IWC for a given reflectivity spans an order of magnitude in value at all three frequencies because of variations in the unknown mass-dimensional relationship and particle size distribution. The sensitivity to the particle size distribution is reduced through the use of dual frequency reflectivity ratios, e.g., Ka- and W-band frequencies, together with the reflectivity at one of the frequencies for estimating IWC.
AB - A detailed electromagnetic scattering model for ice crystals is necessary for calculating radar reflectivity from cloud resolving model output in any radar simulator. The radar reflectivity depends on the backscattering cross sections and size distributions of particles in the radar resolution volume. The backscattering cross section depends on the size, mass and distribution of mass within the crystal. Most of the available electromagnetic scattering data for ice hydrometeors rely on simple ice crystal types and a single mass-dimensional relationship for a given type. However, a literature survey reveals that the mass-dimensional relationships for dendrites cover a relatively broad region in the mass-dimensional plane. This variability of mass and mass distribution of dendritic ice crystals cause significant variability in their backscattering cross sections, more than 10. dB for all sizes (0.5-5. mm maximum dimension) and exceeding 20. dB for the larger ones at X-, Ka-, and W-band frequencies. Realistic particle size distributions are used to calculate radar reflectivity and ice water content (IWC) for three mass-dimensional relationships. The uncertainty in the IWC for a given reflectivity spans an order of magnitude in value at all three frequencies because of variations in the unknown mass-dimensional relationship and particle size distribution. The sensitivity to the particle size distribution is reduced through the use of dual frequency reflectivity ratios, e.g., Ka- and W-band frequencies, together with the reflectivity at one of the frequencies for estimating IWC.
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U2 - 10.1016/j.jqsrt.2013.05.009
DO - 10.1016/j.jqsrt.2013.05.009
M3 - Article
AN - SCOPUS:84886798732
SN - 0022-4073
VL - 131
SP - 105
EP - 114
JO - Journal of Quantitative Spectroscopy and Radiative Transfer
JF - Journal of Quantitative Spectroscopy and Radiative Transfer
ER -