Reconstruction of Near-Surface Tornado Wind Fields from Forest Damage

Author:

Beck Veronika1,Dotzek Nikolai2

Affiliation:

1. Physik-Department T34, Technische Universität München, Garching, and Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Wessling, Germany

2. Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, and European Severe Storms Laboratory, Wessling, Germany

Abstract

Abstract Tornado intensity is usually inferred from the damage produced. To foster postevent tornado intensity assessments, the authors present a model to reconstruct near-surface wind fields from forest damage patterns. By comparing the structure of observed and simulated damage patterns, essential parameters to describe a tornado near-surface wind field are derived, such as the ratio Gmax between circular and translational velocity, and the deflection angle α between peak wind and pressure gradient. The model consists of a wind field module following the Letzmann analytical tornado model and a tree module based on the mechanistic HWIND tree model to assess tree breakage. Using this method, the velocity components of the near-surface wind field, the track of the tornado center, and the spatial distribution of the Fujita scale along and across the damage path can be assessed. Necessary requirements to apply the model are knowledge of the tornado translation speed (e.g., from radar observations) and a detailed analysis of the forest damage patterns. One of the key findings of this analysis is that the maximum intensity of the tornado is determinable with an uncertainty of only (Gmax + 1) times the variability of the usually well-known tornado translation speed. Further, if Letzmann’s model is applied and the translation speed of the tornado is known, the detailed tree model is unnecessary and could be replaced by an average critical velocity for stem breakage υcrit independent of the tree species. Under this framework, the F3 and F2 ratings of the tornadoes in Milosovice, Czech Republic, on 30 May 2001 and Castellcir, Spain, on 18 October 2006, respectively, could be verified. For the Milosovice event, the uncertainty in peak intensity was only ±6.0 m s−1. Additional information about the structure of the near-surface wind field in the tornado and several secondary vortices was also gained. Further, this model allows for distinguishing downburst damage patterns from those of tornadoes.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference59 articles.

1. Synoptic and mesoscale diagnosis of a tornado event in Castellcir, Catalonia, on 18th October 2006.;Aran;Atmos. Res.,2009

2. Green and dry-weight equations for above-ground components of planted Loblolly pines in the West Gulf region.;Baldwin;South. J. Appl. For.,1987

3. Tornado damage analysis of a forest area using site survey observations, radar data and a simple analytical vortex model.;Bech,2007

4. Tornado damage analysis of a forest area using site survey observations, radar data and a simple vortex model.;Bech;Atmos. Res.,2009

5. Beck, V. , 2008: Near-surface tornado wind field reconstruction from forest damage. Diploma thesis, TU München, 162 pp. [Available online at http://www.essl.org/pdf/Beck2008.pdf].

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