2015
DOI: 10.1175/waf-d-15-0061.1
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Characteristics and Synoptic Environment of Drylines Occurring over the Higher Terrain of Southeastern Wyoming

Abstract: Commonly observed over the broadly sloped terrain of the southern Great Plains (SGP), drylines are frequent loci of warm season deep convection and have been the focus of numerous observational, theoretical, and climatological studies over last half century. In this study, a 3-yr (2010-12) analysis of the characteristics and synoptic environment of drylines occurring elsewhere, over the high terrain in southeastern Wyoming just east of the Rocky Mountains, is presented. Observed on ;11% of the days between May… Show more

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Cited by 3 publications
(7 citation statements)
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“…However, this study shows the highest frequency percentage in SUS. This characteristic is consistent with the systematic overprediction by the multi-parametric algorithm, as mentioned before in this study and in Clark et al, 2013. In NUS, the dryline frequency is 33% (between May and August), which is also higher than previous findings in Wyoming of 11% of the days (Bergmaier and Geerts 2015) for three years (2010)(2011)(2012). This could be partly due to the use of a coarse-resolution gridded reanalysis data at 32-km resolution in Bergmaier and Geerts (2015).…”
Section: Discussionsupporting
confidence: 92%
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“…However, this study shows the highest frequency percentage in SUS. This characteristic is consistent with the systematic overprediction by the multi-parametric algorithm, as mentioned before in this study and in Clark et al, 2013. In NUS, the dryline frequency is 33% (between May and August), which is also higher than previous findings in Wyoming of 11% of the days (Bergmaier and Geerts 2015) for three years (2010)(2011)(2012). This could be partly due to the use of a coarse-resolution gridded reanalysis data at 32-km resolution in Bergmaier and Geerts (2015).…”
Section: Discussionsupporting
confidence: 92%
“…This characteristic is consistent with the systematic overprediction by the multi-parametric algorithm, as mentioned before in this study and in Clark et al, 2013. In NUS, the dryline frequency is 33% (between May and August), which is also higher than previous findings in Wyoming of 11% of the days (Bergmaier and Geerts 2015) for three years (2010)(2011)(2012). This could be partly due to the use of a coarse-resolution gridded reanalysis data at 32-km resolution in Bergmaier and Geerts (2015). In NUS, the dryline average magnitude is 0.15 g kg -1 km -1 , which is similar to previous studies in Wyoming with values between 0.05 to 0.1 g kg -1 km -1 (Bergmaier and Geerts, 2015).…”
Section: Discussionsupporting
confidence: 92%
See 3 more Smart Citations