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Objective Identification and Trackin...
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Saunders, Patrick Evan.
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Objective Identification and Tracking of ZDR Columns in X-band Radar Observations.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Objective Identification and Tracking of ZDR Columns in X-band Radar Observations./
作者:
Saunders, Patrick Evan.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
126 p.
附註:
Source: Masters Abstracts International, Volume: 79-12.
Contained By:
Masters Abstracts International79-12.
標題:
Meteorology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10793434
ISBN:
9780438012349
Objective Identification and Tracking of ZDR Columns in X-band Radar Observations.
Saunders, Patrick Evan.
Objective Identification and Tracking of ZDR Columns in X-band Radar Observations.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 126 p.
Source: Masters Abstracts International, Volume: 79-12.
Thesis (M.S.)--Purdue University, 2018.
This item must not be sold to any third party vendors.
With the advent of rapidly scanning radar systems, it is imperative to automate the detection of features in radar images. We discuss efforts to objectively identify ZDR columns in X-band radar observations using the enhanced watershed algorithm (EWA; Lakshmanan et al. 2009), a method for identifying features in geospatial images. We discuss our choices for EWA parameters, including thresholds. The EWA is applied to ZDR observations of convective storms obtained during the 2016 and 2017 VORTEX-SE field campaign by the University of Massachusetts X-band, polarimetric, mobile Doppler radar (UMass X-Pol). During several intensive observing periods (IOPs), a variety of convective storm modes, including multicellular clusters, supercells and quasi-linear convective systems, were observed. Use of the EWA facilitates fast and objective tracking of the progression and behavior of each individual ZDR column, which is done using the Lakshmanan and Smith algorithm (LSA; Lakshmanan and Smith 2010).
ISBN: 9780438012349Subjects--Topical Terms:
542822
Meteorology.
Objective Identification and Tracking of ZDR Columns in X-band Radar Observations.
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With the advent of rapidly scanning radar systems, it is imperative to automate the detection of features in radar images. We discuss efforts to objectively identify ZDR columns in X-band radar observations using the enhanced watershed algorithm (EWA; Lakshmanan et al. 2009), a method for identifying features in geospatial images. We discuss our choices for EWA parameters, including thresholds. The EWA is applied to ZDR observations of convective storms obtained during the 2016 and 2017 VORTEX-SE field campaign by the University of Massachusetts X-band, polarimetric, mobile Doppler radar (UMass X-Pol). During several intensive observing periods (IOPs), a variety of convective storm modes, including multicellular clusters, supercells and quasi-linear convective systems, were observed. Use of the EWA facilitates fast and objective tracking of the progression and behavior of each individual ZDR column, which is done using the Lakshmanan and Smith algorithm (LSA; Lakshmanan and Smith 2010).
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