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Title: Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic

Abstract

The study of Arctic ice and mixed-phase clouds, which are characterized by a variety of ice particle types in the same cloudy volume, is challenging research. This study illustrates a new approach to qualitative and quantitative analysis of the complexity of ice and mixed-phase microphysical processes in Arctic deep precipitating systems using the combination of Ka-band zenith-pointing radar Doppler spectra and quasi-vertical profiles of polarimetric radar variables measured by a Ka/W-band scanning radar. The results illustrate the frequent occurrence of multimodal Doppler spectra in the dendritic/planar growth layer, where locally generated, slower-falling particle populations are well separated from faster-falling populations in terms of Doppler velocity. The slower-falling particle populations contribute to an increase of differential reflectivity (ZDR), while an enhanced specific differential phase (KDP) in this dendritic growth temperature range is caused by both the slower and faster-falling particle populations. Another area with frequent occurrence of multimodal Doppler spectra is in mixed-phase layers, where both populations produce ZDR and KDP values close to 0, suggesting the occurrence of a riming process. A Joint analysis of the Doppler spectra and the polarimetric radar variables provides important insight into the microphysics of snow formation and allows the separation of the contributions ofmore » ice of different habits to the values of reflectivity and ZDR.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3];  [4]
  1. Stony Brook Univ., NY (United States). School of Marine and Atmospheric Sciences
  2. Stony Brook Univ., NY (United States). School of Marine and Atmospheric Sciences; Brookhaven National Lab. (BNL), Upton, NY (United States). Biological, Environmental & Climate Sciences Dept.
  3. Cooperative Inst. for Mesoscale Meteorological Studies/National Severe Storms Lab., Moss Landing, CA (United States)
  4. Brookhaven National Lab. (BNL), Upton, NY (United States). Biological, Environmental & Climate Sciences Dept.
Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org.:
Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division
OSTI Identifier:
1424987
Alternate Identifier(s):
OSTI ID: 1423398
Report Number(s):
BNL-203279-2018-JAAM
Journal ID: ISSN 2169-897X
Grant/Contract Number:  
SC0012704; SC0014295; SC00112704
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 123; Journal Issue: 5; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Oue, Mariko, Kollias, Pavlos, Ryzhkov, Alexander, and Luke, Edward P. Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic. United States: N. p., 2018. Web. doi:10.1002/2017JD027717.
Oue, Mariko, Kollias, Pavlos, Ryzhkov, Alexander, & Luke, Edward P. Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic. United States. https://doi.org/10.1002/2017JD027717
Oue, Mariko, Kollias, Pavlos, Ryzhkov, Alexander, and Luke, Edward P. 2018. "Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic". United States. https://doi.org/10.1002/2017JD027717. https://www.osti.gov/servlets/purl/1424987.
@article{osti_1424987,
title = {Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic},
author = {Oue, Mariko and Kollias, Pavlos and Ryzhkov, Alexander and Luke, Edward P.},
abstractNote = {The study of Arctic ice and mixed-phase clouds, which are characterized by a variety of ice particle types in the same cloudy volume, is challenging research. This study illustrates a new approach to qualitative and quantitative analysis of the complexity of ice and mixed-phase microphysical processes in Arctic deep precipitating systems using the combination of Ka-band zenith-pointing radar Doppler spectra and quasi-vertical profiles of polarimetric radar variables measured by a Ka/W-band scanning radar. The results illustrate the frequent occurrence of multimodal Doppler spectra in the dendritic/planar growth layer, where locally generated, slower-falling particle populations are well separated from faster-falling populations in terms of Doppler velocity. The slower-falling particle populations contribute to an increase of differential reflectivity (ZDR), while an enhanced specific differential phase (KDP) in this dendritic growth temperature range is caused by both the slower and faster-falling particle populations. Another area with frequent occurrence of multimodal Doppler spectra is in mixed-phase layers, where both populations produce ZDR and KDP values close to 0, suggesting the occurrence of a riming process. A Joint analysis of the Doppler spectra and the polarimetric radar variables provides important insight into the microphysics of snow formation and allows the separation of the contributions of ice of different habits to the values of reflectivity and ZDR.},
doi = {10.1002/2017JD027717},
url = {https://www.osti.gov/biblio/1424987}, journal = {Journal of Geophysical Research: Atmospheres},
issn = {2169-897X},
number = 5,
volume = 123,
place = {United States},
year = {Fri Mar 16 00:00:00 EDT 2018},
month = {Fri Mar 16 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 26 works
Citation information provided by
Web of Science

Figures / Tables:

Table 1 Table 1: Mean values of observed variables from KAZR measurements and Ka/W-SACR2 QVPs, estimated dV/dZ, and estimated Ka-band intrinsic ZDR associated with multimodal Doppler spectra regions for the three analyzed layers. Numbers in parentheses for the KAZR ZH and Doppler velocity represent standard deviations in the analyzed layers; those formore » KAZR dV/dZ represent coefficients of determination, and those for QVP ZDR and QVP KDP represent mean values of standard deviation over azimuth angle from QVP estimates. The standard deviations of SACR2 ZDR and KAZR ZH are in linear scale.« less

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Works referencing / citing this record:

Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?
journal, January 2019


Development and validation of a supervised machine learning radar Doppler spectra peak-finding algorithm
journal, January 2019


peakTree: a framework for structure-preserving radar Doppler spectra analysis
journal, January 2019


Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.