2017
DOI: 10.1175/jamc-d-17-0014.1
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The Potential Use of the Linear Depolarization Ratio to Distinguish between Convective and Stratiform Rainfall to Improve Radar Rain-Rate Estimates

Abstract: A major source of errors in radar-derived quantitative precipitation estimates is the inhomogeneous nature of the vertical reflectivity profile (VPR). Operational radars generally scan in azimuth at constant elevation (PPI mode) and provide limited VPR information, so predetermined VPR shapes with limited degrees of freedom are needed to correct for the VPR in real time. Typical stratiform VPRs have a sharp peak below the 0° isotherm, known as the “bright band,” caused by the presence of large melting snowflak… Show more

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Cited by 14 publications
(12 citation statements)
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“…The smaller LDR peak for rimed snow is correlated with the smaller X-band reflectivity enhancement as shown in Fig. 4, which is consistent with (Illingworth and Thompson, 2011;Sandford et al, 2017).…”
Section: Ka-band Ldr and Reflectivitysupporting
confidence: 87%
“…The smaller LDR peak for rimed snow is correlated with the smaller X-band reflectivity enhancement as shown in Fig. 4, which is consistent with (Illingworth and Thompson, 2011;Sandford et al, 2017).…”
Section: Ka-band Ldr and Reflectivitysupporting
confidence: 87%
“…Because liquid and frozen hydrometeors differently affect radar and lidar signals, we begin our characterization of the cloud field by employing a melting layer detection technique. Similar to others before, we identify the melting layer height using radar linear depolarization ratio (LDR) measurements (Sandford et al, 2017): First, every hour, the height of the 0° C isotherm is approximated using the closest in time sounding; then a melting layer is identified if, within 1 km from the 0° C isotherm, the profile of hourly maximum LDR presents both an LDR peak at least 2 dB larger than the neighboring values in height as well as an LDR gradient larger than 15 dB km −1 . For example, melting layers were identified for all hourly periods between 23:00 UTC on 10 April 2016 and 16:00 UTC on 11 April 2016 (Figure 1).…”
Section: Data Sets and Methodologymentioning
confidence: 92%
“…Precipitation constitutes a key meteorological variable for ecosystems and societies; both as a primary input for freshwater resources and (in deficit or excess) as a potential threat to infrastructure and human lives. Mountainous regions such as the Alps, through their impact on the flow and stability of air masses, influence the spatial distribution of precipitation (Frei and Schär, 1998;Roe, 2005;Colle et al, 2013) as well as precipitation growth processes and microphysics (Yuter and Houze, 2003;Colle et al, 2005;Stoelinga et al, 2013).…”
Section: Introductionmentioning
confidence: 99%