An Early Performance Evaluation of the NEXRAD Dual-Polarization Radar Rainfall Estimates for Urban Flood Applications
Dual-polarization radars are expected to provide better rainfall estimates than single-polarization radars because of their ability to characterize hydrometeor type. The goal of this study is to evaluate single- and dual-polarization radar rainfall fields based on two overlapping radars (Kansas City...
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| Veröffentlicht in: | Weather and forecasting 2013-12, Vol.28 (6), p.1478-1497 |
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| creator | CUNHA, Luciana K SMITH, James A BAECK, Mary Lynn KRAJEWSKI, Witold F |
| description | Dual-polarization radars are expected to provide better rainfall estimates than single-polarization radars because of their ability to characterize hydrometeor type. The goal of this study is to evaluate single- and dual-polarization radar rainfall fields based on two overlapping radars (Kansas City, Missouri, and Topeka, Kansas) and a dense rain gauge network in Kansas City. The study area is located at different distances from the two radars (23–72 km for Kansas City and 104–157 km for Topeka), allowing for the investigation of radar range effects. The temporal and spatial scales of radar rainfall uncertainty based on three significant rainfall events are also examined. It is concluded that the improvements in rainfall estimation achieved by polarimetric radars are not consistent for all events or radars. The nature of the improvement depends fundamentally on range-dependent sampling of the vertical structure of the storms and hydrometeor types. While polarimetric algorithms reduce range effects, they are not able to completely resolve issues associated with range-dependent sampling. Radar rainfall error is demonstrated to decrease as temporal and spatial scales increase. However, errors in the estimation of total storm accumulations based on polarimetric radars remain significant (up to 25%) for scales of approximately 650 km2. |
| doi_str_mv | 10.1175/WAF-D-13-00046.1 |
| format | Article |
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The goal of this study is to evaluate single- and dual-polarization radar rainfall fields based on two overlapping radars (Kansas City, Missouri, and Topeka, Kansas) and a dense rain gauge network in Kansas City. The study area is located at different distances from the two radars (23–72 km for Kansas City and 104–157 km for Topeka), allowing for the investigation of radar range effects. The temporal and spatial scales of radar rainfall uncertainty based on three significant rainfall events are also examined. It is concluded that the improvements in rainfall estimation achieved by polarimetric radars are not consistent for all events or radars. The nature of the improvement depends fundamentally on range-dependent sampling of the vertical structure of the storms and hydrometeor types. While polarimetric algorithms reduce range effects, they are not able to completely resolve issues associated with range-dependent sampling. Radar rainfall error is demonstrated to decrease as temporal and spatial scales increase. However, errors in the estimation of total storm accumulations based on polarimetric radars remain significant (up to 25%) for scales of approximately 650 km2.</description><identifier>ISSN: 0882-8156</identifier><identifier>EISSN: 1520-0434</identifier><identifier>DOI: 10.1175/WAF-D-13-00046.1</identifier><identifier>CODEN: WEFOE3</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Algorithms ; Dual polarization radar ; Earth, ocean, space ; Estimates ; Exact sciences and technology ; External geophysics ; Floods ; Gauges ; Geophysics. Techniques, methods, instrumentation and models ; Hydrometeor types ; Hydrometeors ; Meteorology ; Performance evaluation ; Polarimetry ; Polarization ; Precipitation ; Radar ; Radar rainfall ; Radar range ; Rain ; Rain gauges ; Rainfall ; Rainfall estimation ; Sampling ; Storms ; Vertical profiles ; Water in the atmosphere (humidity, clouds, evaporation, precipitation) ; Weather analysis and prediction ; Weather forecasting</subject><ispartof>Weather and forecasting, 2013-12, Vol.28 (6), p.1478-1497</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Meteorological Society Dec 2013</rights><rights>Copyright American Meteorological Society 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-624910be8e826f5c9943ebafafc74b49b949418a63b533d4c463663776c3d2d23</citedby><cites>FETCH-LOGICAL-c404t-624910be8e826f5c9943ebafafc74b49b949418a63b533d4c463663776c3d2d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3681,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28023943$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>CUNHA, Luciana K</creatorcontrib><creatorcontrib>SMITH, James A</creatorcontrib><creatorcontrib>BAECK, Mary Lynn</creatorcontrib><creatorcontrib>KRAJEWSKI, Witold F</creatorcontrib><title>An Early Performance Evaluation of the NEXRAD Dual-Polarization Radar Rainfall Estimates for Urban Flood Applications</title><title>Weather and forecasting</title><description>Dual-polarization radars are expected to provide better rainfall estimates than single-polarization radars because of their ability to characterize hydrometeor type. The goal of this study is to evaluate single- and dual-polarization radar rainfall fields based on two overlapping radars (Kansas City, Missouri, and Topeka, Kansas) and a dense rain gauge network in Kansas City. The study area is located at different distances from the two radars (23–72 km for Kansas City and 104–157 km for Topeka), allowing for the investigation of radar range effects. The temporal and spatial scales of radar rainfall uncertainty based on three significant rainfall events are also examined. It is concluded that the improvements in rainfall estimation achieved by polarimetric radars are not consistent for all events or radars. The nature of the improvement depends fundamentally on range-dependent sampling of the vertical structure of the storms and hydrometeor types. While polarimetric algorithms reduce range effects, they are not able to completely resolve issues associated with range-dependent sampling. 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The goal of this study is to evaluate single- and dual-polarization radar rainfall fields based on two overlapping radars (Kansas City, Missouri, and Topeka, Kansas) and a dense rain gauge network in Kansas City. The study area is located at different distances from the two radars (23–72 km for Kansas City and 104–157 km for Topeka), allowing for the investigation of radar range effects. The temporal and spatial scales of radar rainfall uncertainty based on three significant rainfall events are also examined. It is concluded that the improvements in rainfall estimation achieved by polarimetric radars are not consistent for all events or radars. The nature of the improvement depends fundamentally on range-dependent sampling of the vertical structure of the storms and hydrometeor types. While polarimetric algorithms reduce range effects, they are not able to completely resolve issues associated with range-dependent sampling. Radar rainfall error is demonstrated to decrease as temporal and spatial scales increase. However, errors in the estimation of total storm accumulations based on polarimetric radars remain significant (up to 25%) for scales of approximately 650 km2.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/WAF-D-13-00046.1</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Weather and forecasting, 2013-12, Vol.28 (6), p.1478-1497 |
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| source | Free E-Journal (出版社公開部分のみ）; 美国气象学会期刊（NSTL购买）; Alma/SFX Local Collection |
| subjects | Algorithms Dual polarization radar Earth, ocean, space Estimates Exact sciences and technology External geophysics Floods Gauges Geophysics. Techniques, methods, instrumentation and models Hydrometeor types Hydrometeors Meteorology Performance evaluation Polarimetry Polarization Precipitation Radar Radar rainfall Radar range Rain Rain gauges Rainfall Rainfall estimation Sampling Storms Vertical profiles Water in the atmosphere (humidity, clouds, evaporation, precipitation) Weather analysis and prediction Weather forecasting |
| title | An Early Performance Evaluation of the NEXRAD Dual-Polarization Radar Rainfall Estimates for Urban Flood Applications |
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