Wind characteristics over different terrains

He, Yuncheng; Chan, Pak Wai; Li, Qiusheng

doi:10.1016/j.jweia.2013.06.016

Cited by 54 publications

(14 citation statements)

References 16 publications

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“…For HKO, Eq. (7) was used to demonstrate the time-dependence of gust factor, as suggested by He et al (2013). The results were well presented, with correlation coefficients close to unity.…”

Section: Relation Between Gust Factor and Averaging Timementioning

confidence: 80%

“…These anemometers can offer minutely updated wind data, including 1 min non-overlapping horizontal scalar mean wind speed and direction, as well as 3-s peak gust within every minute (He et al, 2013). In addition, for the investigation of the relation between gust factor and turbulence intensity at SHW, a database that offers second-to-second updated wind records is also employed.…”

Section: Site Description Instrumentation and Data Selectionmentioning

confidence: 99%

“…Moreover, with a purpose to make better use of the valuable data and enhance the sample capacity, a half-segment-length moving average procedure was adopted in the data quality control process. Detailed information on this procedure is given by He et al (2013).…”

Section: Site Description Instrumentation and Data Selectionmentioning

confidence: 99%

“…(6) (He , 2013). For urban areas, a power law expression seems to be more acceptable (He et al, 2013), as shown below: Fig. 7 illustrates the dependence of gust factor against different gust durations when hourly mean wind speed is provided.…”

Section: Relation Between Gust Factor and Averaging Timementioning

confidence: 99%

See 3 more Smart Citations

Gust factors for tropical cyclone, monsoon and thunderstorm winds

Shu

et al. 2015

Journal of Wind Engineering and Industrial Aerodynamics

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Section: Relation Between Gust Factor and Averaging Timementioning

confidence: 80%

Section: Site Description Instrumentation and Data Selectionmentioning

confidence: 99%

Section: Site Description Instrumentation and Data Selectionmentioning

confidence: 99%

Section: Relation Between Gust Factor and Averaging Timementioning

confidence: 99%

See 2 more Smart Citations

Gust factors for tropical cyclone, monsoon and thunderstorm winds

Shu

et al. 2015

Journal of Wind Engineering and Industrial Aerodynamics

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“…1) are presented here. (Cook 1986) 3 3600 1.5 Tropical cyclone (Krayer and Marshall 1992) 2 600 1.56 for U $ 25 m s 21 ; GF 5 1.54 Mixed climate (Yu and Chowdhury 2009) 3 3600 1.4 and 1.7 Extratropical cyclones (Paulsen and Schroeder 2005) 2 600 1.59 Tropical cyclones (Paulsen and Schroeder 2005) 2 600 1.35 Extratropical cyclones (Durst 1960) 2 600 1.40 Tropical cyclones (He et al 2013) 3 600 1.33 Monsoon winds (He et al 2013) 3 600 1.24 Thunderstorm (Choi and Hidayat 2002) 3 600 1.93 Nonthunderstorm (Choi and Hidayat 2002) 3 600 1.72 Data from a microbarometer deployed at each TA station along with the 40-Hz data from the BHZ (broadband high-gain seismometer vertical ground acceleration), TABLE 1.…”

Section: A Data and Methodsmentioning

confidence: 99%

Intense and Extreme Wind Speeds Observed by Anemometer and Seismic Networks: An Eastern U.S. Case Study

Pryor

Conrick

Miller

et al. 2014

Journal of Applied Meteorology and Climatology

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The scale and intensity of extreme wind events have tremendous relevance to determining the impact on infrastructure and natural and managed ecosystems. Analyses presented herein show the following. 1) Wind speeds in excess of the station-specific 95th percentile are coherent over distances of up to 1000 km over the eastern United States, which implies that the drivers of high wind speeds are manifest at the synoptic scale. 2) Although cold fronts associated with extratropical cyclones are a major cause of high-wind speed events, maximum sustained and gust wind speeds are only weakly dependent on the near-surface horizontal temperature gradient across the front. 3) Gust factors (GF) over the eastern United States have a mean value of 1.57 and conform to a lognormal probability distribution, and the relationship between maximum observed GF and sustained wind speed conforms to a power law with coefficients of 5.91 and 20.499. Even though there is coherence in the occurrence of intense wind speeds at the synoptic scale, the intensity and spatial extent of extreme wind events are not fully characterized even by the dense meteorological networks deployed by the National Weather Service. Seismic data from the USArray, a program within the Earthscope initiative, may be suitable for use in mapping high-wind and gust events, however. It is shown that the seismic channels exhibit well-defined spectral signatures under conditions of high wind, with a variance peak at frequencies of ;0.04 s 21 and an amplitude that appears to scale with the magnitude of observed wind gusts.

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Characterization of daily rainfall variability in Hong Kong: A nonlinear dynamic perspective

Shu

Chan

et al. 2020

Intl Journal of Climatology

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Modelling and forecasting of rainfall behaviour are of essential importance in various hydrological and meteorological studies, which depends largely on properly understanding the underlying rainfall dynamics. In this paper, 20-years (i.e., 2000-2019) measurements of daily rainfall data at 6 rain gauge stations in Hong Kong were analysed in the framework of nonlinear dynamic analysis. Phase space reconstruction (PSR), recurrence plot (RP) and recurrence quantification analysis (RQA) were carried out to identify and characterize the chaotic nature of rainfall dynamics. The results of this study underscore the complex processes and variability that is associated with Hong Kong's rainfall data. The existence of chaos in rainfall process was well recognized across various stations. The rainfall dynamics were further investigated with respect to its inter-annual and monthly variability. The dependence of rainfall dynamics on different temporal scales was likewise examined, which indicates that the rainfall dynamics at finer resolution are less complex than those at coarser resolution, thus the consequent rainfall variability is less pronounced.

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Wind characteristics over different terrains

Cited by 54 publications

References 16 publications

Gust factors for tropical cyclone, monsoon and thunderstorm winds

Gust factors for tropical cyclone, monsoon and thunderstorm winds

Intense and Extreme Wind Speeds Observed by Anemometer and Seismic Networks: An Eastern U.S. Case Study

Characterization of daily rainfall variability in Hong Kong: A nonlinear dynamic perspective

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