Basic characteristics of post-frontal shower precipitation rates

Weusthoff, Tanja; Hauf, T.

doi:10.1127/0941-2948/2008/0335

Cited by 8 publications

(17 citation statements)

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“…Clearly the longer-lived lifecycles have more pronounced variations across their lifecycles. This is consistent with the evolution of the composite lifecycles constructed by López et al (1984); Weusthoff and Hauf (2008b). The short lifecycles (those with lifetimes less than 30 min) receive little support for time development, the vertically-integrated mass flux decreasing monotonically through their composite lifecycle (Fig.…”

Section: Convective Core Lifetimessupporting

confidence: 65%

“…12 of López et al, 1984 andFig. 17 of Weusthoff andHauf, 2008b). Including the lifecycles which do contain events enhances the proportion of the long-lasting lifecycles, raising the mean lifetime to 54.6 min.…”

Section: Results From a Crm Simulationmentioning

confidence: 99%

“…Measures of updraft strength (the area and mass flux) for the longer lifecycles (those with lifetimes larger than 30 min) exhibit clear peaks towards the later part of the composite lifecycles, and (as in López et al, 1984;Weusthoff and Hauf, 2008b) seem to have their strongest variations at the start and end of the lifecycles. The longer composite lifecycles increase their centre of mass throughout (Fig.…”

Section: Convective Core Lifetimesmentioning

confidence: 99%

“…On occasion, the relationships between features in the two time slices may not be entirely clear. (Data errors, such as radar clutter, can also produce some tracking errors, as noted by Weusthoff and Hauf (2008b) for instance.) Here the tracking algorithm is applied online, as a diagnostic component of the numerical model simulation.…”

Section: Relationships With Cloud Objects At the Previous Timestepmentioning

confidence: 99%

“…Nonetheless, it is possible to draw out some general properties of the simulated, convective-core lifecycles by normalizing the timeseries of each lifecycle and then compositing these to produce an averaged lifecycle. López et al (1984) and Weusthoff and Hauf (2008b) composites for radar cells. Here, the time is normalized using the lifetime, and each cloud property is normalized for each lifecycle by its time-mean value across the lifecycle.…”

Section: Convective Core Lifetimesmentioning

confidence: 99%

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Statistical properties of cloud lifecycles in cloud-resolving models

Plant

2009

Atmos. Chem. Phys.

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Abstract.A new technique is described for the analysis of cloud-resolving model simulations, which allows one to investigate the statistics of the lifecycles of cumulus clouds. Clouds are tracked from timestep to timestep within the model run. This allows for a very simple method of tracking, but one which is both comprehensive and robust. An approach for handling cloud splits and mergers is described which allows clouds with simple and complicated time histories to be compared within a single framework. This is found to be important for the analysis of an idealized simulation of radiative-convective equilibrium, in which the moist, buoyant updrafts (i.e., the convective cores) were tracked. Around half of all such cores were subject to splits and mergers during their lifecycles. For cores without any such events, the average lifetime is 30 min, but events can lengthen the typical lifetime considerably.

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Section: Convective Core Lifetimessupporting

confidence: 65%

Section: Results From a Crm Simulationmentioning

confidence: 99%

Section: Convective Core Lifetimesmentioning

confidence: 99%

Section: Relationships With Cloud Objects At the Previous Timestepmentioning

confidence: 99%

Section: Convective Core Lifetimesmentioning

confidence: 99%

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Statistical properties of cloud lifecycles in cloud-resolving models

Plant

2009

Atmos. Chem. Phys.

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Using operational weather radar to assess high‐resolution numerical weather prediction over the British Isles for a cold air outbreak case‐study

McBeath¹,

Field²,

Cotton³

2013

Quart J Royal Meteoro Soc

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Examination of weather radar data from the Constrain field campaign during January 2010 is presented, and comparisons between the radar data and reflectivity data computed from the Met Office high-resolution British Isles NWP model (UKV x = 1.5 km) are shown. Cluster analysis was used to identify and track cells of precipitation in the two datasets; this allowed characteristics of the cloud field to be examined. Cells of precipitation were identified in the data using a reflectivity threshold of 10 dBz which allowed these cells to be tracked as they moved through the region of interest. The mean cell area identified in the radar data was found to be 37.5±1.3 km 2 , while the mean area of cells identified in the model data was 63.5±2.0 km 2 . Significant differences between the model and radar data were seen in the shape of the cells, with the cells identified in the model found to be more circular than those seen in the radar data.Citation: McBeath K, Field PR, Cotton RJ. 2014. Using operational weather radar to assess high-resolution numerical weather prediction over the British Isles for a cold air outbreak case-study. Q.

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Statistical relevance of meteorological ambient conditions and cell attributes for nowcasting the life cycle of convective storms

Wilhelm

Wapler

Blahak

et al. 2023

Quart J Royal Meteoro Soc

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The usually short lifetime of convective storms and their rapid development during unstable weather conditions makes forecasting these storms challenging. It is necessary, therefore, to improve the procedures for estimating the storms' expected life cycles, including the storms' lifetime, size, and intensity development. We present an analysis of the life cycles of convective cells in Germany, focusing on the relevance of the prevailing atmospheric conditions. Using data from the radar‐based cell detection and tracking algorithm KONRAD of the German Weather Service, the life cycles of isolated convective storms are analysed for the summer half‐years from 2011 to 2016. In addition, numerous convection‐relevant atmospheric ambient variables (e.g., deep‐layer shear, convective available potential energy, lifted index), which were calculated using high‐resolution COSMO‐EU assimilation analyses (0.0625°), are combined with the life cycles. The statistical analyses of the life cycles reveal that rapid initial area growth supports wider horizontal expansion of a cell in the subsequent development and, indirectly, a longer lifetime. Specifically, the information about the initial horizontal cell area is the most important predictor for the lifetime and expected maximum cell area during the life cycle. However, its predictive skill turns out to be moderate at most, but still considerably higher than the skill of any ambient variable is. Of the latter, measures of midtropospheric mean wind and vertical wind shear are most suitable for distinguishing between convective cells with short lifetime and those with long lifetime. Higher thermal instability is associated with faster initial growth, thus favouring larger and longer living cells. A detailed objective correlation analysis between ambient variables, coupled with analyses discriminating groups of different lifetime and maximum cell area, makes it possible to gain new insights into their statistical connections. The results of this study provide guidance for predictor selection and advancements of nowcasting applications.

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Basic characteristics of post-frontal shower precipitation rates

Cited by 8 publications

References 0 publications

Statistical properties of cloud lifecycles in cloud-resolving models

Statistical properties of cloud lifecycles in cloud-resolving models

Using operational weather radar to assess high‐resolution numerical weather prediction over the British Isles for a cold air outbreak case‐study

Statistical relevance of meteorological ambient conditions and cell attributes for nowcasting the life cycle of convective storms

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