Life cycle of mesoscale convective systems

Abdullaev, S. M.; Zhelnin, A. A.; Lenskaya, Olga Yu.

doi:10.3103/s1068373909050033

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…One is the delay associated with the presence of mesoscale organization (X92, Figure 9). This is evidenced by the rapid onset and more gradual decline of the precipitation rate, which are characteristic of the life cycles of mesoscale convective systems [X92; Abdullaev et al , 2009]. Unfortunately, this mesoscale lag is not well captured by the lag detection method mentioned above.…”

Section: Resultsmentioning

confidence: 99%

Quantifying the limits of convective parameterizations

Jones

Randall

2011

J. Geophys. Res.

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[1] Quasi-equilibrium (QE) closure is an approximation that is expected to apply to a large ensemble of clouds under slowly changing weather conditions. It breaks down under rapidly changing conditions or when the domain size is too small to provide an adequate sample of the cloud field. We explore fluctuations about an equilibrium state as simulated by a three-dimensional cloud-resolving model. An ensemble of simulations is used to determine how the response to prescribed periodic large-scale forcing changes with the period of the forcing and the size of the averaging domain. The vertical profile of the forcing is loosely based on GATE data. Results are compared with those from constant forcing simulations. In the constant forcing simulations, the noise-to-signal ratio is nearly independent of forcing magnitude. With time-varying forcing, a considerable range of responses is found. As expected, the more slowly the forcing varies, the better the response is approximated by QE. Errors become large when the period of the forcing is less than 30 h, suggesting that the diurnal cycle cannot be accurately simulated with a QE closure. Nondeterministic variability becomes more significant with smaller domain sizes. For the cases studied, a domain width of at least 180 km is needed to obtain an adequate sample of the cloud population.

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Section: Resultsmentioning

confidence: 99%

Quantifying the limits of convective parameterizations

Jones

Randall

2011

J. Geophys. Res.

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“…Such structures are most clearly observed when studying the Cb radar echo fields in the Lagrange coordinate system. The existence of mesoscale structures in the fields of cumulonimbus clouds was corroborated afterwards during the studies not only in Moldova [12] but also in other regions [1,2]. The theoretical justification of their determinacy is also given [10].…”

Section: Introductionmentioning

confidence: 79%

Forecast of convective storms evolution based on the analysis of their radar echo and wind hodograph in the troposphere in the moving coordinate system

Plyusnin

Potapov

Garaba

et al. 2013

Russ. Meteorol. Hydrol.

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Generalized are the results of the research carried out by the Special Service for Weather Modification of the Republic of Moldova and of the features of formation and evolution of cumulonimbus clouds Cb based on studying their radar echo in the Lagrange (moving) coordinate system. Besides the regularities proceeding from the ideas about the evolution of Cb on the sides of atmospheric mesoscale structures [16], the features of evolution of powerful Cb are revealed at the significant wind shear. The direction and evolution features of Cb can be predicted using the wind hodograph in the troposphere plotted in the moving coordinate system. Results of the research are used in the Special Service for Weather Modification of the Republic of Moldova during the operational activities on hail suppression for predicting the areas of formation of new convective cells and for optimizing the size of the areas for their seeding with the crystallizing reagent.

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“…Ряд работ посвящен изучению физического механизма образования и возможностей прогнозирования грозо-и градоопасных кучево-дождевых облаков [7; 9-11; 20]. В цикле работ [2; 12] приводятся авторские исследования, посвященные классификации и структурной организации мезомасштабных конвективных систем (МКС), а также изучению жизненного цикла МКС [1]. В последние годы возрос интерес исследователей к проблеме обнаружения и прогнозирования шквалов по данным радиолокационных наблюдений [3; 4; 10; 16].…”

Section: Introductionunclassified

Radar Characteristics of Cloud Systems During Heavy Rain Events

Kostarev¹,

Vetrov²,

Sivkov³

et al. 2020

Геогр. вест.

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The paper analyzes radar characteristics of mesoscale precipitation systems associated with heavy precipitation in Western Urals. The characteristics under study, obtained from the Doppler weather radar, include the maximum height of the radar echo of clouds and precipitation, meteorological phenomena, speed and direction of the radar echo movement. An attempt was made to classify mesoscale precipitation systems with respect to their horizontal scales and geometrical features as well as precipitation patterns. Statistical features of radar characteristics of cloud systems causing heavy rain were calculated taking into account their classification by horizontal scales. Radar meteorological characteristics were obtained from instruments in the Izhevsk city and Ufa city for the warm period of 2016–2017. The results can be used during nowcasting of heavy precipitation events.

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Life cycle of mesoscale convective systems

Cited by 9 publications

References 2 publications

Quantifying the limits of convective parameterizations

Quantifying the limits of convective parameterizations

Forecast of convective storms evolution based on the analysis of their radar echo and wind hodograph in the troposphere in the moving coordinate system

Radar Characteristics of Cloud Systems During Heavy Rain Events

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