ABSTRACT. - Determination of maximum gust in convection storms. Many times when storm damage occurs mainly in summer in buildings, trees or other objects, people automatically say it was a tornado! Although it is difficult for many to understand that currents descendants wind from can cause the large damage and occur frequently in the summer months. Storm winds from can exceed 110 km/h. Although most wind speeds out of the storms from 54 to 90 km/h, occasionally they may exceed 110 km/h. Storms which produce such wind gusts are, generally, identified later, so meteorology warnings are difficult issued. As a result of these causes were sought techniques by which we can quickly determine the degree of danger and to anticipate the evolution of cloudy formation which has the capacity to develop dangerous wind gusts. Convective wind speed was estimated using the relationship VIL - ET (vertically integrated liquid -echo Top) from data from weather radar WSR-98D from the Bobohalma, as exemplified in a few extreme situations.
Keywords: VIL, ET, convective wind, gusts, storm nucleus
1. INTRODUCTION
Convective winds intense are dangerous events that can cause property damage and human victims.
To determine whether a storm has the potential to produce dangerous gusts, meteorologists have used a technique developed by Dr. Stacy Stewart of the National Weather Service (NWS) (Stewart, 1991) and subsequently amended of meteorologists of the Air Force's Air Weather Service (AWS), (AWS, 1996). This technique uses the maximum height of the storm cloud (Echo top-ET) and Vertically Integrated Liquid -VIL, measured and calculated values of radar WSR-98D, to determine the potential to produce wind gusts at the exit of storm.
It should be noted that this technique ET-VII is designed to estimate the potential the maximum speed and not occurrence its.
Mackey 1998 in his dissertation aims to develop a technique to predict downdurst using aerological data and the products offered to radar WSR-88D. Sullivan in 1999 evaluate the maximum wind speed using the formula out of dowbrust AWS.
2. DATA AND METHODS
Convective winds are associated with increased convective cumulus clouds and thunderstorms developing. If a cumulus cloud develops in to a mature storm, upward currents carrying moist and warm air is defeated by the downward current created by rain drops and ice. If this current of cold air is brought to a level that is colder than the environment, may fall to the ground. Figure 1. At ground level this downward current is surface wind. This wind is known as the first gust. Figure 2. Speeds of 15 or 25 m/s are frequent for these gusts. High speeds and surface roughness contact can cause very strong winds. They are all the stronger the more the air mass is warmer. Although convective winds occur suddenly and violently, are of short duration.
Winds descendants are characteristic for mature storms, but for their occurrence is not necessary achieving stage of maturity.
Estimation of wind speed out of a storm during its evolution, was the basis for many research, especially for the airports. Following these studies have reached more results and different formulas for calculating the horizontal wind velocity derived from descendent current. Among these was used, for this analysis, Stewart's formula and improved by researchers at l'Air Force's Air Weather Service in 1996.
W= [(15,780608.VIL) - (2,3810964.10-6.ET2)]1/2 (AWS, 1996)
where: VIL vertically integrated liquid [kg.m-2], ET echo top [km].
When calculating the gusts velocity were used (the appropiate) values corresponding VII and ET, datas Doppler radar from WSR-98D from Târnaveni the near Bobohalma. It used the product 38 (CR- relectivitate composite) contain information parameters on storm: location, maximum relfectivity, height of clouds, the speed of the storm, content hail, VIL.
To highlight the utility of AWS formula were analyzed a few situations where were products damage due to gusts of wind.
3. CASE STUDIES
3.1. Case Nimigea 23 June 2007
"A powerful storm made havoc last night in the village of Nimigea (Bistrita-Nasaud). Storm did not take more than a quarter of an hour, but in this time he ripped trees from the roots and destroyed over 100 houses roofs. Hundreds of people will spend the night in the dark, for the wind broke power lines and telephone cables. The worst was affected the village of Nimigea de Jos. An old oak over 300 years, declared a natural monument, was removed right from his roots and crashed over a house. (23 June 2007)"(http://www.ziare.ro)
According to classification Beaufort staircase damage to buildings occurs at 23 - 24 m/s. Of figure 3. is noted that the estimated convective wind before proceeding over the village center was 24 m/s, over the village center decreases to 23 m/s and at the exit of town have speeds of 26 m/s. The value of reflection maximum is 71dBZ at 15.13 UTC above the town.
3.2. Case Cluj-Napoca 3 August 2009
" Roofs torn offand villages without current, after a storm in Cluj county. A strong storm snatched the roofs of two buildings in Cluj-Napoca, and interrupted the electricity supply in some areas of the county of Cluj. (3 August 2009)" (http://www.ziare.ro/) Figure 4.
In figure 4 is shown route storm that hit the city of Cluj-Napoca on August 3, 2009, route identified by Doppler radar from Bobohalma. The storm was identified 9.45 o'clock UTC. In Velocity field, estimated convective wind for area affected, has intensities of 18 to 20 m/s. Maximum estimated wind was 29 m /s and the storm has had a lifetime, with intensities of over 18 m/s, of one hour and 25 minutes and has traveled over 70 km. On entering the city of Cluj-Napoca storm was already in reduction. The meteorological station of Cluj-Napoca the maximum gust was 21 m/s.
3.3. Case Cluj-Napoca 20 July 2011
The roofs of five buildings were damaged bythe storm that hit the county of Cluj at about 16.00 p.m. The houses were in the central area. The first of them was took the up in the area National Theatre, and the second on Maniu street. Other two roofs have fallen on Heroes Boulevard, being plucked by the wind, and two on Pitesti street and Dorobatilor street. Terraces from Heroes street, dashed by storm at 16.00 p.m (20 July 2011)" (http://www.ziare.ro)
The event of 20 July 2011 was an extreme and rarely case. This is because the convective system that produced damage has formed south of the Feleac hill at 12.15 o'clock UTC (15.15 local time).
Although circulation was from the southern sector was assumed that massive hill of Felacului (approx. 700-800 m) will be form an orographic barrier for convective systems which will come in that direction and that they will avoid the hill. But Feleac Hill proved to be an aggravating factor because the area north of city Cluj-Napoca, because of diurnal warming was formed a bag of hot air. Of figure 5 is observed the jump which it makes cumulonimbus cloud over the Feleac and its rapid development.
Maximum reflexivitatii value of 71 dBZ was made exactly in the area with the greatest damage and estimated gust was 27 m/s and occurred 12.52 o'clock UTC. Current descending and convective wind its associated was amplified by "the fall" cloud base after its passage over the hill Feleac. To meteorological station of Cluj-Napoca, found on Citadel Hill near the center of town at a height of about 120 m above maximum gust measured was only 17 m/s.
According to Beaufort scale damages produced in the center of Cluj-Napoca is within in the range 24 to 27 m/s, and the phenomenon has manifested itself over a period of about a half an hour and at one point there was even a gust by 29 m/s. The system had a lifetime of 2 hours and covered about 75 km
3.4. Case Cluj-Napoca 27 July 2011
This case was selected because supercelula passed near the meteorological station of Cluj-Napoca, the north of the city, an area by hill and orchards therefore a less populated area and recorded minor damage. Maximum gust measured at the weather station of Cluj-Napoca was 20 m/s equal to that expected using the formula AWS. And in this situation one maximum gusts was done exact when the weather radar detected maximum reflectivity, for example 14.08 o'clock UTC of 63 dBZ value. Figure 6.
4. CONCLUSIONS
Is important to know the mechanism and potential which has a cumulonimbus cloud to develop dangerous winds and to be able send timely warnings. The cases analyzed have highlighted the usefulness of AWS formula.
Thus, AWS equation was used to construct Table 1, useful table in operative meteorology. It plays back the estimated value in m/s the maximum wind gust what can produce in a storm.
REFERENCES
1. Fujita T. T. (1981): Tornadoes and Downbursts in the Context of Generalized Planetary Scales, Journal of the Atmospheric Sciences, 38: 1511-1534.
2. Fujita T.T. (1985): The Downburst: Microburst and Macroburst. Chicago: University of Chicago Press.
3. Mackey J. B. (1998): Forecasting wet microbursts associated with summertime airmass thunderstorms over the Southeastern United States,Thesis, AFIT/GM/ENP/98M-06.
4. Maier N., Muresan T., Lacatus D. (2010) Statistical indices derived from the Bobohalma WSR-88D radar data useful in forecasting hail. Romanian Journal of Meteorology nr.1.
5. Stewart S. R. (1991): The prediction of pulse-yype thunderstorm gusts using Vertically Integrated Liquid water content (VIL) and the cloud top penetrative downdraftmechanism. NOAA Tech. Memo, NWS SR-136.
6. Sullivan G. D. (1999): Sing the WSR-88D to forecast downburst winds at CAPE canaveral Air Stationand Thekennedy Space Center (CCAS/KSC), Thesis, AFIT/GM/ENP/99M-12.
7. Wakimoto R. M. (2001): Convectively driven high wind events. Severe Convective Storms. American Meteorological Society, 28, 255-298.
8. Air Weather Service (AWS) (1996): Echoes: Operational use of vertically integrated liquid (VIL)., No. 16. Scott AFB: Air Weather Service.
9. http://www.ziare.ro
10. http://www.fema.cov
N. MAIER1
1 National Meteorological Administration, Regional Meteorological Center Transilvania Nord, 400213 Cluj-Napoca, Romania, e-mail: [email protected]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Copyright Babes Bolyai University Faculty of Geography 2012
Abstract
Many times when storm damage occurs mainly in summer in buildings, trees or other objects, people automatically say it was a tornado! Although it is difficult for many to understand that currents descendants wind from can cause the large damage and occur frequently in the summer months. Storm winds from can exceed 110 km/h. Although most wind speeds out of the storms from 54 to 90 km/h, occasionally they may exceed 110 km/h. Storms which produce such wind gusts are, generally, identified later, so meteorology warnings are difficult issued. As a result of these causes were sought techniques by which we can quickly determine the degree of danger and to anticipate the evolution of cloudy formation which has the capacity to develop dangerous wind gusts. Convective wind speed was estimated using the relationship VIL - ET (vertically integrated liquid -echo Top) from data from weather radar WSR-98D from the Bobohalma, as exemplified in a few extreme situations. [PUBLICATION ABSTRACT]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer