2001
DOI: 10.1023/a:1011820206279
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Cited by 14 publications
(5 citation statements)
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“…The second purpose was to minimise the effect on the observers caused by the damage claims to insurance and other administrations. The values were more biased in agricultural areas, as was found in other presented analyses [31,32]. Changnon observed that the bias in hail size estimation was at less 0.1 cm in stones greater or larger than 2.5 cm.…”
Section: Form Resultssupporting
confidence: 68%
“…The second purpose was to minimise the effect on the observers caused by the damage claims to insurance and other administrations. The values were more biased in agricultural areas, as was found in other presented analyses [31,32]. Changnon observed that the bias in hail size estimation was at less 0.1 cm in stones greater or larger than 2.5 cm.…”
Section: Form Resultssupporting
confidence: 68%
“…This is because small-scale hail is much more frequent than large-scale hail [20,76]. Hail damages crops and trees at hailstone diameters ≥12.5 mm and ≥30 mm, respectively [51,52,76,78]. Damage to crops and trees is often initially or completely overlooked, leading to serious long-term damage [16].…”
Section: Hail Damage and Risk Mapmentioning
confidence: 99%
“…For the region of Moldova there are recent studies that address the size of hail but these are limited to case studies (Axinte, 2019;Ilie et al, 2020). The other method calculates H using the frequency of hail days (McMaster et al, 2001;Leigh et al, 2001). In some studies, were directly applied as the index for assessment on H the total hail days (Berz et al, 2001) or average annual hail days (McMaster et al, 2001).…”
Section: 𝑅 = 𝑓(𝐻 𝐸 𝑉)mentioning
confidence: 99%
“…The other method calculates H using the frequency of hail days (McMaster et al, 2001;Leigh et al, 2001). In some studies, were directly applied as the index for assessment on H the total hail days (Berz et al, 2001) or average annual hail days (McMaster et al, 2001). In this paper, we used average annual hail days as the index for assessment on H. The average number of days with hail is the parameter that highlights the qualitative aspect of the phenomenon.…”
Section: 𝑅 = 𝑓(𝐻 𝐸 𝑉)mentioning
confidence: 99%