2013
DOI: 10.1175/bams-d-11-00264.1
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A Feasibility Study for Probabilistic Convection Initiation Forecasts Based on Explicit Numerical Guidance

Abstract: For practical purposes, the convection initiation forecasting challenge should be franned in terms of the initiation of mesoscale convective events rather than the formation^^, and Hrov\/th of individual cumulonimbus clouds.

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Cited by 87 publications
(47 citation statements)
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“…Both model and initial condition errors can cause such an error, but we suspect excessive mountain thermal forcing as a cause. In general, predicting the initiation and evolution of individual convective cells is more difficult to achieve than for mesoscale convective systems, as pointed out by Kain et al (2013). Because the main goal of this study is to investigate the physical processes responsible for the CI, rather than to obtain the most accurate forecast, we feel that the timing error, while not desirable, does not greatly affect our analysis of the physical processes.…”
Section: Resultsmentioning
confidence: 93%
See 1 more Smart Citation
“…Both model and initial condition errors can cause such an error, but we suspect excessive mountain thermal forcing as a cause. In general, predicting the initiation and evolution of individual convective cells is more difficult to achieve than for mesoscale convective systems, as pointed out by Kain et al (2013). Because the main goal of this study is to investigate the physical processes responsible for the CI, rather than to obtain the most accurate forecast, we feel that the timing error, while not desirable, does not greatly affect our analysis of the physical processes.…”
Section: Resultsmentioning
confidence: 93%
“…Complex terrain plays important roles in the initiation and organization of convection (e.g., Rotunno and Houze, 2007;Wulfmeyer et al, 2008;Houze, 2012;Kain et al, 2013;Trier et al, 2015;Worthington, 2015;Zhao, 2015). For strong airflows encountering complex terrain, dynamic forcing can be strong enough to cause convective initiation (CI).…”
Section: Introductionmentioning
confidence: 99%
“…Preliminary analysis (Fig. SB1) shows that the forecasters were more confident issuing higher-probability fore- CPMs, reveal significant errors in CI timing and location (Kain et al 2013), system duration, and QPF, in particular during the night in the PECAN region, even over short forecast periods (Pinto et al 2015).…”
mentioning
confidence: 97%
“…The temporal and the spatial thresholds used to identify isolated CI events are similar to recent studies, including those that have automatically detected CI in sequences of reflectivity images (e.g. Weckwerth et al, 2011;Kain et al, 2013;Burghardt et al, 2014;Clark et al, 2014;Fabry and Cazenave, 2014;and Lock and Houston, 2014).…”
Section: Thunderstorm Day Definitionmentioning
confidence: 85%