A Framework for Comparisons of Downburst Precursor Observations Using an All-Digital Phased-Array Weather Radar.

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Title: A Framework for Comparisons of Downburst Precursor Observations Using an All-Digital Phased-Array Weather Radar.
Authors: PEARSON, CONNOR1,2 pearson.connor@yahoo.com, TIAN-YOU YU1,2,3, BODINE, DAVID1,2, TORRES, SEBASTIAN1,4,5, REINHART, ANTHONY5
Source: Journal of Atmospheric & Oceanic Technology. Aug2023, Vol. 40 Issue 8, p919-938. 20p.
Subjects: Radar meteorology, Microbursts, Thunderstorms, Spatial resolution, Proof of concept
Abstract: Downbursts are rapidly evolving meteorological phenomena with numerous vertically oriented precursor signatures, and the temporal resolution and vertical sampling of the current NEXRAD system are too coarse to observe their evolution and precursor signatures properly. A future all-digital polarimetric phased-array weather radar (PAR) should be able to improve both temporal resolution and spatial sampling of the atmosphere to provide better observations of rapidly evolving hazards such as downbursts. Previous work has been focused on understanding the trade-offs associated with using various scanning techniques on stationary PARs; however, a rotating, polarimetric PAR (RPAR) is a more feasible and cost-effective candidate. Thus, understanding the trade-offs associated with using various scanning techniques on an RPAR is vital in learning how to best observe downbursts with such a system. This work develops a framework for analyzing the trade-offs associated with different scanning strategies in the observation of downbursts and their precursor signatures. A proof-of-concept analysis--which uses a CloudModel 1 (CM1)-simulated downburst-producing thunderstorm--is also performed with both conventional and imaging scanning strategies in an adaptive scanning framework to show the potential value and feasibility of the framework. Preliminary results from the proof-of-concept analysis indicate that there is indeed a limit to the benefits of imaging as an update time speedup method. As imaging is used to achieve larger speedup factors, corresponding data degradation begins to hinder the observations of various precursor signatures. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Atmospheric & Oceanic Technology is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A Framework for Comparisons of Downburst Precursor Observations Using an All-Digital Phased-Array Weather Radar.
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  Data: <searchLink fieldCode="AR" term="%22PEARSON%2C+CONNOR%22">PEARSON, CONNOR</searchLink><relatesTo>1,2</relatesTo><i> pearson.connor@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22TIAN-YOU+YU%22">TIAN-YOU YU</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22BODINE%2C+DAVID%22">BODINE, DAVID</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22TORRES%2C+SEBASTIAN%22">TORRES, SEBASTIAN</searchLink><relatesTo>1,4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22REINHART%2C+ANTHONY%22">REINHART, ANTHONY</searchLink><relatesTo>5</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Atmospheric+%26+Oceanic+Technology%22">Journal of Atmospheric & Oceanic Technology</searchLink>. Aug2023, Vol. 40 Issue 8, p919-938. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Radar+meteorology%22">Radar meteorology</searchLink><br /><searchLink fieldCode="DE" term="%22Microbursts%22">Microbursts</searchLink><br /><searchLink fieldCode="DE" term="%22Thunderstorms%22">Thunderstorms</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+resolution%22">Spatial resolution</searchLink><br /><searchLink fieldCode="DE" term="%22Proof+of+concept%22">Proof of concept</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Downbursts are rapidly evolving meteorological phenomena with numerous vertically oriented precursor signatures, and the temporal resolution and vertical sampling of the current NEXRAD system are too coarse to observe their evolution and precursor signatures properly. A future all-digital polarimetric phased-array weather radar (PAR) should be able to improve both temporal resolution and spatial sampling of the atmosphere to provide better observations of rapidly evolving hazards such as downbursts. Previous work has been focused on understanding the trade-offs associated with using various scanning techniques on stationary PARs; however, a rotating, polarimetric PAR (RPAR) is a more feasible and cost-effective candidate. Thus, understanding the trade-offs associated with using various scanning techniques on an RPAR is vital in learning how to best observe downbursts with such a system. This work develops a framework for analyzing the trade-offs associated with different scanning strategies in the observation of downbursts and their precursor signatures. A proof-of-concept analysis--which uses a CloudModel 1 (CM1)-simulated downburst-producing thunderstorm--is also performed with both conventional and imaging scanning strategies in an adaptive scanning framework to show the potential value and feasibility of the framework. Preliminary results from the proof-of-concept analysis indicate that there is indeed a limit to the benefits of imaging as an update time speedup method. As imaging is used to achieve larger speedup factors, corresponding data degradation begins to hinder the observations of various precursor signatures. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Atmospheric & Oceanic Technology is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1175/JTECH-D-22-0130.1
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 919
    Subjects:
      – SubjectFull: Radar meteorology
        Type: general
      – SubjectFull: Microbursts
        Type: general
      – SubjectFull: Thunderstorms
        Type: general
      – SubjectFull: Spatial resolution
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      – SubjectFull: Proof of concept
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      – TitleFull: A Framework for Comparisons of Downburst Precursor Observations Using an All-Digital Phased-Array Weather Radar.
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            NameFull: PEARSON, CONNOR
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            NameFull: TIAN-YOU YU
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            NameFull: BODINE, DAVID
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            NameFull: REINHART, ANTHONY
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            – D: 01
              M: 08
              Text: Aug2023
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              Y: 2023
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