Backscatter differential phase - estimation and variability

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Title:Main Title: Backscatter differential phase - estimation and variability
Description:Abstract: Based on simulations and observations made with polarimetric radars operating at X, C, and S bands, the backscatter differential phase δ has been explored. δ has been identified as an important polarimetric variable, which should not be ignored in precipitation estimations based on KDP, especially at shorter radar wavelengths. Moreover, δ bears important information about the dominant size of raindrops and wet snowflakes in the melting layer. New methods for estimating δ in rain and in the melting layer are suggested. The method for estimating δ in rain is based on a modified version of the ZPHI algorithm, and provides reasonably robust estimates of δ and KDP in pure rain except in regions where the total measured differential phase DP behaves erratically, such as areas affected by nonuniform beam filling (NBF) or low signal-to noise ratio. The method for estimating δ in the melting layer results in reliable estimates of δ in stratiform precipitation and requires azimuthal averaging of radial profiles of DP at high antenna elevations. Comparisons with large disdrometer datasets collected in Oklahoma and Germany confirm a strong interdependence between δ and differential reflectivity ZDR. Because δ is immune to attenuation, partial beam blockage, and radar miscalibration, the strong correlation between ZDR and δ is of interest for quantitative precipitation estimation: δ and ZDR are differently affected by the particle size distribution (PSD) and thus may complement each other for PSD moment estimation. Furthermore, the magnitude of δ can be utilized as an important calibration parameter for improving microphysical models of the melting layer.
Identifier:10.1175/JAMC-D-13-0124.1 (DOI)
Responsible Party
Creators:Silke Trömel (Author), Matthew R. Kumjian (Author), Alexander Ryzhkov (Author), Clemens Simmer (Author), Malte Diederich (Author)
Publisher:American Meteorological Society
Publication Year:2013
Topic
TR32 Topic:Atmosphere
Related Subproject:D5
Subjects:Keywords: Backscatter, Remote Sensing, Precipitation
File Details
Filename:2013_Troemel_JoAOT.pdf
Data Type:Text - Article
Size:54 Pages
File Size:3.4 MB
Dates:Submitted: 01.03.2013
Issued: 01.11.2013
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:[TR32DB] Data policy agreement
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Journal of Atmospheric and Oceanic Technology
Volume:52
Number of Pages:20 (2529 - 2548)
Metadata Details
Metadata Creator:Clemens Simmer
Metadata Created:03.12.2013
Metadata Last Updated:03.12.2013
Subproject:D5
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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