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Polarimetric Radar Relations for Estimation of Visibility in Aggregated Snow.
- Source :
-
Journal of Atmospheric & Oceanic Technology . Apr2021, Vol. 38 Issue 4, p805-822. 18p. - Publication Year :
- 2021
-
Abstract
- The intrinsic uncertainty of radar-based retrievals in snow originates from a large diversity of snow growth habits, densities, and particle size distributions, all of which can make interpreting radar measurements of snow very challenging. The application of polarimetric radar for snow measurements can mitigate some of these issues. In this study, a novel polarimetric method for quantification of the extinction coefficient and visibility in snow, based on the joint use of radar reflectivity at horizontal polarization Z and specific differential phase KDP, is introduced. A large 2D-video-disdrometer snow dataset from central Oklahoma is used to derive a polarimetric bivariate power-law relation for the extinction coefficient, σ e (K DP , Z) = γ K DP α Z β . The relation is derived for particle aspect ratios ranging from 0.5 to 0.8 and the width of the canting angle distribution ranging from 0° to 40°, values typical of aggregated snow, and validated via theoretical and analytical derivations/simulations. The multiplier of the relation is sensitive to variations in particles' densities, the width of the canting angle distribution, and particles' aspect ratios, whereas the relation's exponents are practically invariant to changes in the latter two parameters. This novel approach is applied to polarimetric S-band WSR-88D data and verified against previous studies and in situ measurements of the extinction coefficient for four snow events in the eastern United States. The polarimetric radar estimates of the extinction coefficient exhibit smaller biases in comparison to previous studies concerning the ground measurements. The results indicate that there is good potential for reliable radar estimates of visibility from polarimetric weather radars, a parameter inversely proportional to the extinction coefficient. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07390572
- Volume :
- 38
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Journal of Atmospheric & Oceanic Technology
- Publication Type :
- Academic Journal
- Accession number :
- 149980272
- Full Text :
- https://doi.org/10.1175/JTECH-D-20-0088.1