High Resolution Observation of a Small Tornado, Ardmore, New Zealand

Sutherland-Stacey,; Shucksmith,; Austin,

doi:10.2307/26169713

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…The radar is designed to be portable, being towable by a standard four‐wheel drive vehicle and provides short range (20 km) high resolution rainfall measurements. The radar's high resolution capability has allowed the characterization of small scale weather phenomena such as tornadoes (Sutherland‐Stacey et al , 2010).…”

Section: Datasetmentioning

confidence: 99%

The spatial and temporal sampling errors inherent in low resolution radar estimates of rainfall

Shucksmith

Sutherland-Stacey

Austin

2011

Meteorological Applications

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ABSTRACT:The errors introduced into radar estimates of rainfall by making observations at spatial and temporal resolutions that are coarse compared with precipitation systems' characteristic length and time scales are explored in this study. High resolution (200 m, 50 s) X-band radar data from 48 mid-latitude precipitation events are downgraded progressively in spatial and temporal resolution so that estimates of this sampling error can be made by comparing 10 min rainfall accumulations of this data to accumulations calculated from the original high resolution data. The analysis shows these errors to be of significant magnitude. For 2 km and 5 min sampling, this error varies from 17 to 64% of the mean rainfall accumulation. A relationship is shown between the error introduced from the reduction in spatial resolution and the characteristic length scale of the precipitation system along with a metric of precipitation intensity.

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Section: Datasetmentioning

confidence: 99%

The spatial and temporal sampling errors inherent in low resolution radar estimates of rainfall

Shucksmith

Sutherland-Stacey

Austin

2011

Meteorological Applications

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The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model

Hoffmann

Merker

Lengfeld

et al. 2018

Atmospheric Research

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A B S T R A C TA tornado hit the northeastern suburbs of Hamburg, Germany, on 7 June 2016. It had an estimated strength of upper end F1 on the Fujita scale and was short-lived with an approximate duration of only 13 min and a path length of just about 1.3 km. We demonstrate that such a small-scale, extreme event can be observed and forecasted accurately by a low-cost radar and by an atmospheric model with low computational costs, respectively.Observations from a low-cost single polarized X-band radar covering the urban area of Hamburg with 60 m spatial and 30 s temporal resolution are analyzed with respect to their ability to capture the development as well as the track of the tornado. In contrast to the national C-band radar network, the X-band radar is capable of capturing the hook echo of the tornado as well as the circular pattern in rain rates, because of its higher resolution in space and time.High-resolution forecasts of the tornado event are conducted with the computational efficient Conformal Cubic Atmosphere Model (CCAM) in order to test the capability of predicting the tornado with a lead time of a few hours. A three step downscaling method is used to obtain a spatial resolution of 1 km with initial conditions taken from the NCEP analysis. Calculated severe weather indices clearly indicate a potential for a tornado. CCAM cannot explicitly resolve small scale tornadic features but the model simulates a strong convective cell only a few kilometers apart from the tornadic thunderstorm observed by the radar.

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High Resolution Observation of a Small Tornado, Ardmore, New Zealand

Cited by 2 publications

References 5 publications

The spatial and temporal sampling errors inherent in low resolution radar estimates of rainfall

The spatial and temporal sampling errors inherent in low resolution radar estimates of rainfall

The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model

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