Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Moutassem El Rafei"'
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 15, Pp n/a-n/a (2023)
Abstract Preparing for environmental risks requires estimating the frequencies of extreme events, often from data records that are too short to confirm them directly. This requires fitting a statistical distribution to the data. To improve precision,
Externí odkaz:
https://doaj.org/article/38bd986724db446699d0be7c55b05373
Publikováno v:
Weather and Climate Extremes, Vol 39, Iss , Pp 100537- (2023)
The characterisation of extreme wind gust speeds has historically relied on data from observations, while numerically modelling these events is limited due to their rarity and localised nature. However, the ongoing increase in computational power now
Externí odkaz:
https://doaj.org/article/a9bc26e649fd44299fc58b96c07e7b63
Publikováno v:
Aerospace, Vol 4, Iss 4, p 59 (2017)
The quantitative measure of dissipative properties of different numerical schemes is crucial to computational methods in the field of aerospace applications. Therefore, the objective of the present study is to examine the resolving power of Monotonic
Externí odkaz:
https://doaj.org/article/578fdc51fef0432594635a08d8dad92b
Publikováno v:
Natural Hazards. 117:875-895
Extreme wind gusts cause major socioeconomic damage, and the rarity and localised nature of those events make their analysis challenging by either modelling or empirical approaches. A 23-year long data record from 29 automatic weather stations locate
Autor:
Ben Thornber, Moutassem El Rafei
Publikováno v:
Australasian Fluid Mechanics Conference (AFMC).
Publikováno v:
Aerospace; Volume 4; Issue 4; Pages: 59
Aerospace, Vol 4, Iss 4, p 59 (2017)
Aerospace, Vol 4, Iss 4, p 59 (2017)
The quantitative measure of dissipative properties of different numerical schemes is crucial to computational methods in the field of aerospace applications. Therefore, the objective of the present study is to examine the resolving power of Monotonic