2010
DOI: 10.3103/s1068373910030040
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Automated radar identification, measurement of parameters, and classification of convective cells for hail protection and storm warning

Abstract: Methods, algorithms, and programs of automated radar identification of convective cells in cumulonimbus clouds are considered, that provides the ability to measure the parameters of convective cells, to plot the graphs of the time course of parameters, to compute the direction and speed of the movement, to assess their thunderstorm and hail danger, and to recognize the categories of target objects for the prevention of hail damage and meteorological provision of aviation.

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Cited by 9 publications
(3 citation statements)
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“…We used isotherm heights such as 0 °C (H0), -10 °C (H-10), and -20 °C (H-20). These can be considered key isotherms used for a medium-term hail forecasting or to detect convective storm cells with hail probability (Abshaev et al, 2010;Potapov and Garaba, 2016). The altitude of these isotherms was determined by calculating a local, thermal gradient.…”
Section: Methodsmentioning
confidence: 99%
“…We used isotherm heights such as 0 °C (H0), -10 °C (H-10), and -20 °C (H-20). These can be considered key isotherms used for a medium-term hail forecasting or to detect convective storm cells with hail probability (Abshaev et al, 2010;Potapov and Garaba, 2016). The altitude of these isotherms was determined by calculating a local, thermal gradient.…”
Section: Methodsmentioning
confidence: 99%
“… The wind in the surface layer of the atmosphere leads to the jet deformation in the vertical and horizontal plane tilts and blows the updraft top to the leeward side for hundreds of meters. In the horizontal section, the jet takes the form of an arc covering the region of maximum updrafts, which lags behind the ambient air flow by analogy with the lagging behind the leading flow of the updrafts region and the powerful radar echo of convective storms 29 . The presence of even shallow wind ( U = 1 + 0.005 H ) almost halves the jet height, which greatly limits the possibility of creating artificial clouds.…”
Section: Discussionmentioning
confidence: 99%
“…The moist (cloud) convection triggers severe storms that lead to showery rains, thunderstorms, hail, squalls, tornadoes, flash floods, and inundations [17]. Convective storms are usually local [18], hence, forecasting the locations, timings, and causes of their development are the most difficult challenges in weather forecasting [19]. Current operational numerical models are still generally unable to forecast the location and onset time of cloud convection initiated by the sub-cloud layer processes due to the poor representation of these processes in the model physics.…”
Section: Introductionmentioning
confidence: 99%