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Using crop fall patterns to provide an insight into thunderstorm downbursts
Abstract This paper examines whether crop fall patterns due to thunderstorm downburst-like events can provide an insight into the flow structure of a downburst. To explore this phenomenon, a novel three-dimensional analytical model for the velocity flow field is derived and coupled with a generalised plant model which is capable of modelling crop failure. Through this approach we have established the concept of the lodging front – a dimensionless variable used to quantify the spatial extent of crop failure. Crop failure is shown to result in a diverging pattern and the angles at which the crop falls has been shown to collapse onto a single curve when suitably normalised. Comparison with full-scale data suggests that the model is capable of predicting realistic crop fall patterns and could potentially be used in the future to assess the strength of downbursts.
Highlights Crop fall due to downbursts results in a diverging flow pattern. Crop failure is a function of downburst wind speed and its translation speed. The crop fall angles depend on their relative location on the lodging front. Parameters for crop failure can be calculated via the model and full-scale data.
Using crop fall patterns to provide an insight into thunderstorm downbursts
Abstract This paper examines whether crop fall patterns due to thunderstorm downburst-like events can provide an insight into the flow structure of a downburst. To explore this phenomenon, a novel three-dimensional analytical model for the velocity flow field is derived and coupled with a generalised plant model which is capable of modelling crop failure. Through this approach we have established the concept of the lodging front – a dimensionless variable used to quantify the spatial extent of crop failure. Crop failure is shown to result in a diverging pattern and the angles at which the crop falls has been shown to collapse onto a single curve when suitably normalised. Comparison with full-scale data suggests that the model is capable of predicting realistic crop fall patterns and could potentially be used in the future to assess the strength of downbursts.
Highlights Crop fall due to downbursts results in a diverging flow pattern. Crop failure is a function of downburst wind speed and its translation speed. The crop fall angles depend on their relative location on the lodging front. Parameters for crop failure can be calculated via the model and full-scale data.
Using crop fall patterns to provide an insight into thunderstorm downbursts
Sterling, M. (author) / Huo, S. (author) / Baker, C.J. (author)
2023-04-13
Article (Journal)
Electronic Resource
English
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