DocumentCode
1320027
Title
Synthesis of mesoscale numerical weather prediction and empirical site-specific radar clutter models
Author
LeFurjah, G. ; Marshall, R. ; Casey, T.S. ; Haack, Thomas ; De Forest Boyer, D.
Author_Institution
Dahlgren Div., Naval Surface Warfare Center, Dahlgren, VA, USA
Volume
4
Issue
6
fYear
2010
fDate
12/1/2010 12:00:00 AM
Firstpage
747
Lastpage
754
Abstract
A littoral clutter modelling approach that derives three-dimensional refractivity profiles from mesoscale numerical weather prediction (MSNWP), applies them to parabolic equation (PE) propagation models, and combines them with empirical surface clutter reflectivity models to generate a more realistic model of surface clutter, is described. The MSNWP model is COAMPS®, coupled atmospheric mesoscale numerical prediction system. This study updates a paper for the IEEE Radar Conference in 2008: overwater discrete clutter, oil rigs, have been added to the model; new model comparisons with recorded data have been executed; and an evaporative duct model was appended below the refractivity profiles Burk et al. developed the approach presented here (i.e. COAMPS® provides atmospheric data for propagation models, which in turn provide data for clutter models). The current work advances this technology into the littorals. It has been tested over many cases of atmospheric conditions in several geographic areas. This synthesis of MSNWP and radar clutter models can provide clutter and propagation forecasts for military planners, retroactive prediction of propagation for clutter test data analysis and realistic models for radar system design and performance analysis.
Keywords
meteorological radar; radar clutter; 3D refractivity profiles; clutter test data analysis; empirical site-specific radar clutter models; mesoscale numerical weather prediction; parabolic equation propagation models; retroactive prediction;
fLanguage
English
Journal_Title
Radar, Sonar & Navigation, IET
Publisher
iet
ISSN
1751-8784
Type
jour
DOI
10.1049/iet-rsn.2009.0145
Filename
5569869
Link To Document