DocumentCode
2886066
Title
Clustering Analysis of Refractive Index Profiles: Toward a Ducting Climatology
Author
Belmonte, Ruth S. ; Fast, Stephen A. ; Young, George S. ; Katz, Brandon G.
Author_Institution
Remcom Inc., State College
fYear
2007
fDate
17-20 April 2007
Firstpage
906
Lastpage
909
Abstract
Historically, radiosonde and other data sources were used to determine average duct heights, average M-deficit and other properties of ducts. Further, various values can be found for certain deciles of each of the computed statistical parameters. However, it is, in general, difficult to reconstruct profiles that are representative of the original refractive profile structure and its distribution. The goal of this research is to develop methods that can be used to determine representative climatological atmospheres for use in high fidelity RF parabolic equation propagation models. This entails determining representative atmospheric profiles worldwide. This research focuses on determining representative refractive profiles at a specified time, date and location. The methods can then be extended to give representative atmospheres for RF links of interest.
Keywords
climatology; data mining; pattern clustering; radiosondes; radiowave propagation; refractive index; statistical analysis; tropospheric electromagnetic wave propagation; RF parabolic equation propagation models; clustering analysis; data mining; ducting climatology; radiosonde; refractive index profiles; representative climatological atmospheres; statistical parameters; Africa; Atmosphere; Atmospheric modeling; Data analysis; Ducts; Meteorology; Ocean temperature; Refractive index; Sea surface; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2007 IEEE
Conference_Location
Boston, MA
ISSN
1097-5659
Print_ISBN
1-4244-0284-0
Electronic_ISBN
1097-5659
Type
conf
DOI
10.1109/RADAR.2007.374339
Filename
4250433
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