Paper Info
Title
GIS-based NEXRAD Stage III precipitation database: automated approaches for data processing and visualization
Abstract
This study develops a geographical information system (GIS) approach for automated processing of the Next Generation Weather Radar (NEXRAD) Stage III precipitation data. The automated processing system, implemented by using commercial GIS and a number of Perl scripts and C/C++ programs, allows for rapid data display, requires less storage capacity, and provides the analytical and data visualization tools inherent in GIS as compared to traditional methods. In this paper, we illustrate the development of automatic techniques to preprocess raw NEXRAD Stage III data, transform the data to a GIS format, select regions of interest, and retrieve statistical rainfall analysis over user-defined spatial and temporal scales. Computational expense is reduced significantly using the GIS-based automated techniques. For example, 1-year Stage III data processing (~9000 files) for the West Gulf River Forecast Center takes about 3 days of computation time instead of months of manual work. To illustrate the radar precipitation database and its visualization capabilities, we present three application examples: (1) GIS-based data visualization and integration, and ArcIMS-based web visualization and publication system, (2) a spatial-temporal analysis of monsoon rainfall patterns over the Rio Grande River Basin, and (3) the potential of GIS-based radar data for distributed watershed models. We conclude by discussing the potential applications of automated techniques for radar rainfall processing and its integration with GIS-based hydrologic information systems.
Year
DOI
Venue
2005
10.1016/j.cageo.2004.09.009
Computers & Geosciences
Keywords
Field
DocType
gis-based radar data,iii data,arcims-based web visualization,1-year stage iii data,stage iii precipitation data,precipitation retrieval,gis format,data processing,gis,precipitation database,rapid data display,data visualization tool,automated approach,nexrad,visualization,gis-based nexrad stage iii,automated techniques,gis-based data visualization,gis-based automated technique,data transformation,river basin,weather radar,data visualization,geographic information system,region of interest,information system
Radar,GIS file format,Data mining,Geographic information system,Data processing,Data visualization,Weather radar,NEXRAD,Visualization,Computer science,Database
Journal
Volume
Issue
ISSN
31
1
Computers and Geosciences
Citations 
PageRank 
References 
7
0.70
0
Authors
5
Name
Order
Citations
PageRank
Hongjie Xie14416.62
Xiaobing Zhou2415.91
Enrique R. Vivoni3183.31
Jan M. H. Hendrickx491.55
Eric E. Small512918.61