Local wind assessment in Australia: computation methodology for wind multipliers

Yang, T.; Nadimpalli, K.; Cechet, R.P.

doi:10.11636/record.2014.033

Cited by 11 publications

(11 citation statements)

References 13 publications

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“…In Finnish conditions, mature stands adjacent to newly clear-cut areas or recently heavily thinned stands are especially vulnerable to wind damage (e.g., Laiho, 1987;Zubizarreta-Gerendiain et al, 2012). Risks to these forests may be decreased by proper forest management and planning for the spatial and temporal patterns of cuttings in forested areas (Tarp and Helles, 1997;Meilby et al, 2001;Zeng et al, 2004Zeng et al, , 2007aHeinonen et al, 2009;Zubizarreta-Gerendian et al, 2017). Several mechanistic models that have been built in recent decades allow the prediction of threshold wind speeds that can uproot or break trees under alternative forest stand configurations (e.g., Peltola et al, 1999bPeltola et al, , 2010Gardiner et al, 2000Gardiner et al, , 2008Byrne and Mitchell, 2013;Seidl et al, 2014;Dupont et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications

et al. 2017

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Abstract. The bioeconomy has an increasing role to play in climate change mitigation and the sustainable development of national economies. In Finland, a forested country, over 50 % of the current bioeconomy relies on the sustainable management and utilization of forest resources. Wind storms are a major risk that forests are exposed to and high-spatial-resolution analysis of the most vulnerable locations can produce risk assessment of forest management planning. In this paper, we examine the feasibility of the wind multiplier approach for downscaling of maximum wind speed, using 20 m spatial resolution CORINE land-use dataset and high-resolution digital elevation data. A coarse spatial resolution estimate of the 10-year return level of maximum wind speed was obtained from the ERA-Interim reanalyzed data. Using a geospatial re-mapping technique the data were downscaled to 26 meteorological station locations to represent very diverse environments. Applying a comparison, we find that the downscaled 10-year return levels represent 66 % of the observed variation among the stations examined. In addition, the spatial variation in wind-multiplier-downscaled 10-year return level wind was compared with the WAsP model-simulated wind. The heterogeneous test area was situated in northern Finland, and it was found that the major features of the spatial variation were similar, but in some locations, there were relatively large differences. The results indicate that the wind multiplier method offers a pragmatic and computationally feasible tool for identifying at a high spatial resolution those locations with the highest forest wind damage risks. It can also be used to provide the necessary wind climate information for wind damage risk model calculations, thus making it possible to estimate the probability of predicted threshold wind speeds for wind damage and consequently the probability (and amount) of wind damage for certain forest stand configurations.

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Section: Introductionmentioning

confidence: 99%

Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications

et al. 2017

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“…The values of the coefficients were low-moderate (Fowler et al, 1998). However, due to the lack of variables such as terrain, topography and "interactions between airflows and mesoclimate" in our parameter, all of which play an important role in affecting local wind behavior (Yang et al, 2014), such a correlation can be considered satisfactory. To our knowledge, no previous work has used such a parameter in relation to the ecophysiological status of lichen transplants to associate it indirectly to the atmospheric emissions from an anthropogenic point source of pollutants.…”

Section: Discussionmentioning

confidence: 99%

Local wind monitoring matched with lichen Pseudevernia furfuracea (L.) Zopf transplantation technique to assess the environmental impact of a biomass power plant

Lucadamo¹,

Corapi²,

Gallo³

2017

Turk J Bot

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“…For more localised wind speeds that can be used for detailed wind impact calculations (e.g. Krause and Arthur, 2018), local site conditions can be incorporated via an offline calculation that can incorporate local accelerations over topography and varying surface roughness conditions (Yang et al, 2014).…”

Section: Boundary Layer Modelmentioning

confidence: 99%

A statistical–parametric model of tropical cyclones for hazard assessment

Arthur

2021

Nat. Hazards Earth Syst. Sci.

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Abstract. We present the formulation of an open-source, statistical–parametric model of tropical cyclones (TCs) for use in hazard and risk assessment applications. The model derives statistical relations for TC behaviour (genesis rate and location, intensity, speed and direction of translation) from best-track datasets, then uses these relations to create a synthetic catalogue based on stochastic sampling, representing many thousands of years of activity. A parametric wind field, based on radial profiles and boundary layer models, is applied to each event in the catalogue that is then used to fit extreme-value distributions for evaluation of return period wind speeds. We demonstrate the capability of the model to replicate observed behaviour of TCs, including coastal landfall rates which are of significant importance for risk assessments.

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Local wind assessment in Australia: computation methodology for wind multipliers

Cited by 11 publications

References 13 publications

Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications

Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications

Local wind monitoring matched with lichen Pseudevernia furfuracea (L.) Zopf transplantation technique to assess the environmental impact of a biomass power plant

A statistical–parametric model of tropical cyclones for hazard assessment

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