Extreme weather condition for aviation over the Donets Ridge on August 22, 2006

Peskov, B. E.; Alekseeva, A.A.; Chernyi, S. E.

doi:10.3103/s1068373907050032

Cited by 3 publications

(2 citation statements)

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“…Quantitatively, the influence of this predictor is poorly studied during experiments. The comparison of its values with other predictors and the experience of a number of cases, for example in [5], reveal the usefulness of its taking with a coefficient of 2.0 and with a minus sign because the pressure fall causes the development of mesoscale convective complexes. All heavy showers were observed near the area of the maximum values of I max (r < 120 km) where the development of mesoscale convective complexes is the most intensive from the Earth's surface to the stage of Cu cong and of the presence of the prognostic precipitation maximum W max .…”

Section: Complex Estimation Of Situations and Mesoprocesses Using Hygmentioning

confidence: 96%

“…The executed analysis of front location represented partially in Figs. 1-3 indicates their most probable structure: the fronts with waves and heavy showers [2] at their approaching as well as in [3,5] and at the displacement of the warm air upward between them. It is very hard to determine the place and the probability of heavy showers basing on this structure of atmospheric processes even with accuracy up to 100-150 km.…”

Section: Situation Peculiarities As a Wholementioning

confidence: 99%

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Specifying the mesoscale numerical forecast of heavy showers

Peskov

Dmitrieva

2010

Russ. Meteorol. Hydrol.

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Section: Complex Estimation Of Situations and Mesoprocesses Using Hygmentioning

confidence: 96%

Section: Situation Peculiarities As a Wholementioning

confidence: 99%

Specifying the mesoscale numerical forecast of heavy showers

Peskov

Dmitrieva

2010

Russ. Meteorol. Hydrol.

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Automated work place “Planeta-Meteoobzor” for monitoring hazardous weather associated with convective clouds

Bukharov

Kukharskii

Misnik³

2008

Russ. Meteorol. Hydrol.

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A functional description is presented of a new automated work place (AWP) as a remote service terminal of an original automated informational system for continuous meteorological decoding of measurements from geostationary satellites. A number of practical problems is considered which can be solved by means of "Planeta-Meteoobzor" AWP at a qualitatively higher level. Estimates are presented of efficiency of satellite identification of precipitation and thunderstorms and estimation of the Cb cloud top heights. Comparability and, under certain conditions, higher accuracy is proved of satellite surveillance weather maps, as compared with analogous radar information. Experimental operation of the AWP "Planeta-Meteoobzor" has confirmed its usefulness for the purposes of flight safety.In recent years, due to increasing intensity of the air traffic, on the one hand, and occurrence frequency of hazardous weather phenomena associated with convective clouds, on the other hand, the development of a system for operational monitoring of the mentioned phenomena at the whole route of aircraft has become an urgent issue.For this purpose, at the Planeta Research Center for Space Hydrometeorology, on the basis of innovation methods [2], a working prototype has been developed of an original automated informational system of "Meteo-ISZ." The system provides continuous meteorological decoding of measurements from the geostationary satellites "Meteosat-9," "Meteosat-7," "MTSAT-IR" and plotting colored surveillance maps of convective weather, including clouds, precipitation, thunderstorms, hailstorms, squalls, along with values of a number of practically significant meteorological characteristics (cloud top height, precipitation intensity and phase, etc.).Identification of weather phenomena is based not only upon radiation temperature at the cloud top, but also on its spatial variability and on forecasting information on air temperature and humidity in the lower troposphere [2]. The technique of meteorological decoding of measurements from geostationary satellites is based on original methods recently developed for identification of the same atmospheric objects using information of radiometers in microwave and infrared ranges installed at the polar orbital satellites of the NOAA series [1]. Important advantages of the new maps over those of decoded NOAA measurements consist in simultaneous surveillance of meteorological objects over the whole of Russia, more frequent and detailed surveillance and higher accuracy of identification of the atmospheric phenomena associated with clouds.The maps are issued in the real time regime with periodicity of the received satellite information, 15, 30, and 180 min. The meteorological characteristics are calculated for the areas of Europe and Russia in the latitude belt of 30°to 74°N and in longitudinal sectors covered by the surveillance of the corresponding satellites (20°W to 60°E, 10°-110°E, and 90°E-170°W). Spatial resolution of the maps is 0.1°in both latitude and longitude (about 5-11 km). This ...

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