1998
DOI: 10.1175/1520-0493(1998)126<0831:hdoftg>2.0.co;2
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Hailstorm Damage Observed from theGOES-8Satellite: The 5–6 July 1996 Butte–Meade Storm

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Cited by 30 publications
(26 citation statements)
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“…The outer kernel is 50 km  50 km, and anomalies are calculated as the difference between the inner-kernel pixels and the median of cloud-free observations in the outer kernel. The 12.5 km  12.5 km inner kernel is large enough to resolve the typical 7-12-km width of previously documented hail swaths (Frisby 1963;Klimowski et al 1998;Parker et al 2005) when compared to the surrounding background, but could miss smaller features. Figure 4 shows how both kernels move throughout the image to calculate the anomalies, shifting 12.5 km through each iteration (first west-to-east before shifting north once the iterator reaches the end of the domain).…”
Section: ) Anomaly Detectionmentioning
confidence: 99%
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“…The outer kernel is 50 km  50 km, and anomalies are calculated as the difference between the inner-kernel pixels and the median of cloud-free observations in the outer kernel. The 12.5 km  12.5 km inner kernel is large enough to resolve the typical 7-12-km width of previously documented hail swaths (Frisby 1963;Klimowski et al 1998;Parker et al 2005) when compared to the surrounding background, but could miss smaller features. Figure 4 shows how both kernels move throughout the image to calculate the anomalies, shifting 12.5 km through each iteration (first west-to-east before shifting north once the iterator reaches the end of the domain).…”
Section: ) Anomaly Detectionmentioning
confidence: 99%
“…Remote sensing of hail and severe weather damage to crops has been well-documented. Klimowski et al (1998) used the Geostationary Operational Environmental to observe hail damage in South Dakota. GOES-8 only provided visible wavelength (0.52-0.72 µm) imagery with 1-km spatial resolution at nadir.…”
Section: Introductionmentioning
confidence: 99%
“…An early example of hail damage detection from satellite remote sensing was the use of visible band of the GOES-8 to identify surface damage along a 120 km path of 'almost complete vegetative defoliation and destruction' in western South Dakota, USA that was caused by large hail (>5 cm) and severe winds (>50 m s -1 ), including complete devastation of range grasses, planted crops and extensive defoliation of trees 3 . Later, remote sensingbased normalized difference vegetation index (NDVI) was used in hailstorm and wind damage assessment [4][5][6] .…”
Section: Introductionmentioning
confidence: 99%
“…A changing climate leads to changes in the attributes of extreme events (frequency, intensity, spatial extent, duration and timing); hence unprecedented extreme weather and climate events are becoming frequent 2,3 . Impacts from recent climate-related extremes (heat waves, droughts, floods, cyclones, wildfires, etc.)…”
mentioning
confidence: 99%
“…Supercell thunderstorms are perhaps the most violent of all thunderstorm types, and are capable of producing damaging winds, large hail, weak-to-violent tornadoes, and flash flooding with severe economic losses [3][4][5]. The definition of a mesocyclone was as given by Burgess [6] and included criteria on the shear value, the depth of the circulation, and its temporal continuity.…”
Section: Introductionmentioning
confidence: 99%