Long-term diagnostics of precipitation estimates and the development of radar hardware monitoring within a radar product data quality management system

10th European Conference on Radar in Meteorology and Hydrology (ERAD 2018) : 1-6 July 2018, Ede-Wageningen, The Netherlands

“…A simple, yet effective, method for qualitatively assessing the stability of each radar is to produce statistical maps, such as echo occurrence frequency, or average observed reflectivity, for fixed time intervals (Harrison et al, 2014). These maps are easy to generate and provide a quick, visual guide to potential changes in the network.…”

Fuzzy logic filtering of radar reflectivity to remove non-meteorological echoes using dual polarization radar moments

“…Removing these spurious echoes is possible using either static techniques for known clutter, signal-level correction of the return pulse (Torres and Zrnić, 1999;Nguyen et al, 2008) or dynamic filtering of the single polarisation (Steiner and Smith, 2002) or dual polarisation moment data (Chandrasekar et al, 2013). Static maps, usually developed over time with summary statistics, are reasonably successful at removing the effect of ground clutter (Harrison et al, 2014(Harrison et al, , 2000, yet are insufficient when AP increases the area of the returns and cannot remove echoes from other, nonmeteorological sources. Dynamic systems that respond to the variation in ground clutter returns have been developed as a response to these issues.…”

“…Statistical analysis of multiple radar scans easily identifies range gates affected by ground clutter as noted by Harrison et al (2014). Using the COPE data set, cross-checked with elevation data and national mapping, to build a statistical mask, 26 radar scans from the 18 July 2013 (dry day) and 17 August 2013 (stratiform rainfall) were analysed to produce normalised kernel density estimates for the classification parameters.…”

Weather Radar and Hydrology: Preface

“…The first two papers (Harrison et al 2014, Yeung et al 2014 concern radar-rainfall estimation and quality control, while uncertainty aspects of radar-rainfall estimation, including reduction through merging with raingauge data, are covered by Delrieu et al (2014), Seo et al (2014) and Pan et al (2014). Morin and Yakir (2014) and Nikolopoulos et al (2014) exploit radar rainfall to gain a deeper understanding of the impact of spatial rainfall on catchment flood response, including consideration of localized convective rain in semi-arid environments and the interplay of storm velocity and orography on flood magnitude.…”