An Integrated Display and Analysis Methodology for Multivariable Radar DataSource: Journal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 008::page 1196DOI: 10.1175/JAM2524.1Publisher: American Meteorological Society
Abstract: Polarimetric Doppler radars provide valuable information about the kinematic and microphysical structure of storms. However, in-depth analysis using radar products, such as Doppler-derived wind vectors and hydrometeor identification, has been difficult to achieve in (near) real time, mainly because of the large volumes of data generated by these radars, lack of quick access to these data, and the challenge of applying quality-control measures in real time. This study focuses on modifying and automating several radar-analysis and quality-control algorithms currently used in postprocessing and merging the resulting data from several radars into an integrated analysis and display in (near) real time. Although the method was developed for a specific network of four Doppler radars: two Weather Surveillance Radar-1988 Doppler (WSR-88D) radars (KFTG and KCYS) and two Colorado State University (CSU) research radars [Pawnee and CSU?University of Chicago?Illinois State Water Survey (CSU?CHILL)], the software is easily adaptable to any radar platform or network of radars. The software includes code to synthesize radial velocities to obtain three-dimensional wind vectors and includes algorithms for automatic quality control of the raw polarimetric data, hydrometeor identification, and rainfall rate. The software was successfully tested during the summers of 2004 and 2005 at the CSU?CHILL radar facility, ingesting data from the four-radar network. The display software allows users the ability to view mosaics of reflectivity, wind vectors, and rain rates, to zoom in and out of radar features easily, to create vertical cross sections, to contour data, and to archive data in real time. Despite the lag time of approximately 10 min, the software proved invaluable for diagnosing areas of intense rainfall, hail, strong updrafts, and other features such as mesocyclones and convergence lines. A case study is presented to demonstrate the utility of the software.
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| contributor author | Dolan, Brenda A. | |
| contributor author | Rutledge, Steven A. | |
| date accessioned | 2017-06-09T16:48:18Z | |
| date available | 2017-06-09T16:48:18Z | |
| date copyright | 2007/08/01 | |
| date issued | 2007 | |
| identifier issn | 1558-8424 | |
| identifier other | ams-74452.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4216679 | |
| description abstract | Polarimetric Doppler radars provide valuable information about the kinematic and microphysical structure of storms. However, in-depth analysis using radar products, such as Doppler-derived wind vectors and hydrometeor identification, has been difficult to achieve in (near) real time, mainly because of the large volumes of data generated by these radars, lack of quick access to these data, and the challenge of applying quality-control measures in real time. This study focuses on modifying and automating several radar-analysis and quality-control algorithms currently used in postprocessing and merging the resulting data from several radars into an integrated analysis and display in (near) real time. Although the method was developed for a specific network of four Doppler radars: two Weather Surveillance Radar-1988 Doppler (WSR-88D) radars (KFTG and KCYS) and two Colorado State University (CSU) research radars [Pawnee and CSU?University of Chicago?Illinois State Water Survey (CSU?CHILL)], the software is easily adaptable to any radar platform or network of radars. The software includes code to synthesize radial velocities to obtain three-dimensional wind vectors and includes algorithms for automatic quality control of the raw polarimetric data, hydrometeor identification, and rainfall rate. The software was successfully tested during the summers of 2004 and 2005 at the CSU?CHILL radar facility, ingesting data from the four-radar network. The display software allows users the ability to view mosaics of reflectivity, wind vectors, and rain rates, to zoom in and out of radar features easily, to create vertical cross sections, to contour data, and to archive data in real time. Despite the lag time of approximately 10 min, the software proved invaluable for diagnosing areas of intense rainfall, hail, strong updrafts, and other features such as mesocyclones and convergence lines. A case study is presented to demonstrate the utility of the software. | |
| publisher | American Meteorological Society | |
| title | An Integrated Display and Analysis Methodology for Multivariable Radar Data | |
| type | Journal Paper | |
| journal volume | 46 | |
| journal issue | 8 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/JAM2524.1 | |
| journal fristpage | 1196 | |
| journal lastpage | 1213 | |
| tree | Journal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 008 | |
| contenttype | Fulltext |