The winterstorm ?Vivian? of 27 February 1990: About the meteorological development, wind forces and damage situation in the forests of Switzerland

Schüepp, M.; Schiesser, Hans-Heinrich; Huntrieser, H.; Scherrer, H. U.; Schmidtke, H.

doi:10.1007/bf00865533

Cited by 39 publications

(48 citation statements)

References 7 publications

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“…As can be seen in Figure 3, DAM emp,i considerably differs between P 1 to P 6 . The high values of DAM emp, 3 and DAM emp,5 result from the impact of the catastrophic storm events Wiebke and Lothar on the forests in Baden-Wuerttemberg.…”

Section: Forest Damage Datamentioning

confidence: 75%

“…The high values of DAM emp, 3 and DAM emp,5 result from the impact of the catastrophic storm events Wiebke and Lothar on the forests in Baden-Wuerttemberg. Storm Kyrill, which occurred in P 6 caused Atmosphere 2016, 7, 7 4 of 23 no discernable proportions of storm-damaged timber in the study area. The proportions of endemically storm-damaged timber (DAM emp,endemic ) were calculated by averaging DAM emp,1 , DAM emp,2 , DAM emp, 4 and DAM emp, 6 .…”

Section: Forest Damage Datamentioning

confidence: 87%

“…Exceptional winter storms that impacted Central Europe during the past decades were "Wiebke" in March 1990 [6], "Lothar" in December 1999 [7] and "Kyrill" in January 2007 [8]. With respect to the amount of damaged timber, storm Lothar, which passed Southwest Germany [9] and Switzerland [10] on 26 December 1999, was the most damaging event in these areas.…”

Section: Introductionmentioning

confidence: 99%

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The Role of Highly-Resolved Gust Speed in Simulations of Storm Damage in Forests at the Landscape Scale: A Case Study from Southwest Germany

et al. 2016

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Abstract:Routinely collected booking records of salvaged timber from the period 1979-2008 were used to empirically model the (1) storm damage probability; (2) proportions of storm-damaged timber and (3) endemic storm damage risk in the forest area of the German federal state of Baden-Wuerttemberg by applying random forests. Results from cross-validated predictor importance evaluation demonstrate that the relative impact of modeled gust speed fields on the predictive accuracy of the random forests models was greatest compared to the impact of forest and soil features. Forest areas prone to storm damage occurring within a period of five years were mainly located in mountainous upland regions where maximum gust speed exceeds 31 m/s in a five-year return period and conifers dominate the tree species composition. While mean storm damage probability continuously increased with increasing statistical gust speed proportions of storm-damaged timber peaked at a statistical maximum gust speed value of 29 m/s occurring in a five-year return period. Combining the statistical gust speed field with daily gust speed fields of two exceptional winter storms improved model accuracy and considerably increased the explained variance. Endemic storm damage risk was calculated from endemic storm damage probability and proportions of endemically storm-damaged timber. In combination with knowledge of local experts the storm damage risk modeled in a 50 mˆ50 m resolution raster dataset can easily be used to identify areas prone to storm damage and to adapt silvicultural management regimes to make forests more windfirm.

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Section: Forest Damage Datamentioning

confidence: 75%

Section: Forest Damage Datamentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

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The Role of Highly-Resolved Gust Speed in Simulations of Storm Damage in Forests at the Landscape Scale: A Case Study from Southwest Germany

et al. 2016

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“…Storm damage to forests in Switzerland from 1858 to 2007 was investigated by Usbeck et al (2010). The winterstorms "Vivian" and "Lothar" prompted a wave of activity summarised in Schüepp et al (1994) andWSL andBUWAL (2001) while, more recently, Rohr (2007) provided a cultural historical analysis of extreme events in Medieval Austria which included severe windstorms. Elsewhere the picture is sketchy further back than two centuries.…”

Section: Review Of Literaturementioning

confidence: 99%

“…On one hand, there seem to be significant gaps in our knowledge of the chronology of European storms even for western Europe as recently as the eighteenth century. Early work by Lamb and Frydendahl (1991) has not been followed up and our detailed understanding is restricted to case studies of the most recent decades such as "Vivian" (1990), "Lothar" (1999) (Münchener Rück 1993;Schraft et al 1993;Schüepp et al 1994;Wernli et al 2002;Erb et al 2004;Ulbrich et al 2009) and "Kyrill" ). On the other hand, it is pertinent to enquire why a series of extreme storms such as the "Hilaire-Prisca" did not register in the cultural memory.…”

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confidence: 99%

The meteorological framework and the cultural memory of three severe winter-storms in early eighteenth-century Europe

et al. 2010

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Three violent eighteenth-century storms that ravaged the North Sea area (1703), western central Europe (1739) and Portugal (1739) are investigated from the point of view of their meteorological setting, their socio-economic impact, and whether and by what means they secured an enduring place in the cultural memory. The evidence draws on individual narrative sources such as chronicles and poems, and institutional sources such as ship's logbooks and state-organised 'windthrow' inventories of tree loss. Each of the three storms had socio-economic impacts that could be described as 'war-like' in the damage caused to buildings and the destruction of forests. The "Great Storm" of December 1703 jeopardized English naval supremacy in the War of the Spanish Succession by sinking a number of Royal Navy ships and taking the life of more than 8000 seamen. In January 1739 two similarly destructive storms swept over mainland Europe. The cultural memory of the three events here considered was however strikingly different. The C. Pfister (B)

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Using highly resolved maximum gust speed as predictor for forest storm damage caused by the high‐impact winter storm Lothar in Southwest Germany

Schindler

Jung

Buchholz

2016

Atmospheric Science Letters

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Results from a newly available empirical maximum gust speed model were evaluated for their predictive power of forest storm damage caused by the high-impact winter storm 'Lothar' in the German federal state of Baden-Wuerttemberg. In this state, Lothar was the most severe storm event of the last decades, causing nearly 30 million m 3 of damaged timber. By applying a least squares boosting procedure, daily maximum gust speed values measured at 28 meteorological stations were used to empirically model highly resolved (50 × 50 m) near-surface gust speed fields associated with Lothar. Gust speed was modelled using terrainand roughness-related variables as predictors. The modelled gust speed fields were then used as input to an empirical forest storm damage model. To build the damage model, the machine learning method random forests was applied. Results from this study demonstrate that the empirically modelled maximum gust speed field associated with Lothar was the most important predictor variable for forest storm damage at the landscape scale. Modelled maximum gust speed was nearly twice as important as all other available predictor variables. The medians of classified proportions of storm-damaged timber quasi-linearly increased with increasing maximum gust speed.

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The winterstorm ?Vivian? of 27 February 1990: About the meteorological development, wind forces and damage situation in the forests of Switzerland

Cited by 39 publications

References 7 publications

The Role of Highly-Resolved Gust Speed in Simulations of Storm Damage in Forests at the Landscape Scale: A Case Study from Southwest Germany

The Role of Highly-Resolved Gust Speed in Simulations of Storm Damage in Forests at the Landscape Scale: A Case Study from Southwest Germany

The meteorological framework and the cultural memory of three severe winter-storms in early eighteenth-century Europe

Using highly resolved maximum gust speed as predictor for forest storm damage caused by the high‐impact winter storm Lothar in Southwest Germany

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