[715] - Backscatter differential phase - estimation and variability

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Citation
Troemel, S., Kumjian, M. R. ., Ryzhkov, A., Simmer, C., Diederich, M., 2013. Backscatter differential phase - estimation and variability. Journal of Atmospheric and Oceanic Technology, 52, 2529 - 2548. DOI: 10.1175/JAMC-D-13-0124.1.
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Identification
Title(s):Main Title: Backscatter differential phase - estimation and variability
Description(s):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(s):DOI: 10.1175/JAMC-D-13-0124.1
Responsible Party
Creator(s):Author: Silke Troemel
Author: Matthew R. Kumjian
Author: Alexander Ryzhkov
Author: Clemens Simmer
Author: Malte Diederich
Publisher:American Meteorological Society
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Backscatter, Remote Sensing, Precipitation
File Details
File Name:2013_Troemel_JoAOT.pdf
Data Type:Text
Size(s):54 Pages
File Size:3488 kB (3.406 MB)
Date(s):Date Submitted: 2013-03-01
Issued: 2013-11-01
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2013
Type:Article
Article Type:Journal
Source:Journal of Atmospheric and Oceanic Technology
Volume:52
Page Range:2529 - 2548
Metadata Details
Metadata Creator:Clemens Simmer
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:D5
Funding Phase:2
Metadata Language:English
Metadata Version:V40
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Page Visits:429
Metadata Downloads:0
Dataset Downloads:4
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