2016
DOI: 10.1175/jhm-d-15-0029.1
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Deployment and Performance Analyses of High-Resolution Iowa XPOL Radar System during the NASA IFloodS Campaign

Abstract: This article presents the data collected and analyzed using the University of Iowa’s X-band polarimetric (XPOL) radars that were part of the spring 2013 hydrology-oriented Iowa Flood Studies (IFloodS) field campaign, sponsored by NASA’s Global Precipitation Measurement (GPM) Ground Validation (GV) program. The four mobile radars have full scanning capabilities that provide quantitative estimation of the rainfall at high temporal and spatial resolutions over experimental watersheds. IFloodS was the first extens… Show more

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Cited by 36 publications
(30 citation statements)
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“…down to a minimum of 500 m. Radial resolutions between 3 and 100 m have been documented by e.g. , , Lengfeld et al (2014), and Mishra et al (2016).…”
Section: Spatial Resolutionmentioning
confidence: 97%
See 2 more Smart Citations
“…down to a minimum of 500 m. Radial resolutions between 3 and 100 m have been documented by e.g. , , Lengfeld et al (2014), and Mishra et al (2016).…”
Section: Spatial Resolutionmentioning
confidence: 97%
“…Operational meteorological S-,C-, and X-band radars usually provide reflectivity scans with a temporal resolution of 5-15 min (Table 2), whereas research radars dedicated to high resolution rainfall monitoring in specific areas and specific elevations are reported to provide data resolutions down to 15 s (e.g. Mishra et al, 2016).…”
Section: Temporal Resolutionmentioning
confidence: 99%
See 1 more Smart Citation
“…A key drawback of X-band radar wavelength in rainfall estimation is the severe rain-path attenuation, but dual-polarization radar technology can now mitigate this effect through the development of robust attenuation correction schemes [31][32][33][34][35][36][37][38][39][40][41]. As a result, progress in the X-band dual-polarization rainfall estimation has enhanced the applicability of such radar (typically mobile) systems for flood modeling applications in urban areas [42][43][44][45] and in complex terrain basins [22][23][24][25]31,46,47].…”
Section: Introductionmentioning
confidence: 99%
“…The operational radar processing algorithms are described in Tabary (2007), while the data from the MXPol radar are processed following the steps described in Schneebeli et al (2014) and Griazioli et al (2015). The characteristics of MXPol are given by Schneebeli et al (2013) and Mishra et al (2016).…”
Section: Radarsmentioning
confidence: 99%