Homogeneity analysis of wind data from 213 m high Cabauw tower

Petrović, P.; Romanić, Djordje; Ćurić, Mladjen

doi:10.1002/joc.5434

Cited by 6 publications

(3 citation statements)

References 54 publications

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“…The site is flat in all directions within ;20 km from the tower. The land use within ;400 m around the tower is open pasture (Petrovic ´et al 2018;van den Berg 2008;Verkaik and Holtslag 2007).…”

Section: A Wind Measurementsmentioning

confidence: 99%

Mean flow and turbulence characteristics of a nocturnal downburst recorded on a 213 m tall meteorological tower

Romanić

2021

Journal of the Atmospheric Sciences

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This study presents rare measurements and analysis of a nocturnal thunderstorm downburst on the 213 m tall Cabauw tower in The Netherlands. The event occurred on 12 March 2008 between 02:00 and 03:00 UTC and was measured using four ultrasonic 10-Hz anemometers positioned at 3, 60, 100, and 180 m above ground level. 1-second gusts in the outflow exceeded 30 m s−1 at 60 m and above. This wind event was accompanied by an abrupt change of wind direction from southwest to west. While the shift in wind direction corresponded with the change of upwind surface roughness, the time series of turbulence intensity and other turbulence characteristics were not affected. The statistical properties of this event were compared against the largest European database of thunderstorm winds measured in the Mediterranean. The study also demonstrated that primary and secondary vortex structures—secondary vortex being rarely observed in actual downbursts—developed at the forward edge of the cold outflow. The estimated diameter of the downdraft was 1200 m at 70 m above ground. The measured velocity profiles and friction velocity were compared against theoretical predictions of the Monin-Obukhov Similarity Theory (MOST). MOST without stratification adjustment overestimated measured friction velocity twofold. Alternative values for surface roughness during the outflow were derived based on the measured friction velocity and MOST-based fit of measured velocity profiles. Ceilometer and radar measurements were supplementary data in this analysis.

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Section: A Wind Measurementsmentioning

confidence: 99%

Mean flow and turbulence characteristics of a nocturnal downburst recorded on a 213 m tall meteorological tower

Romanić

2021

Journal of the Atmospheric Sciences

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“…Similarly Petrović et al . () demonstrated that the measurement of wind speed at the KNMI Cabauw tower (near Lopik, The Netherlands) was influenced by the extension of the built‐up city area around the tower.…”

Section: Discussionmentioning

confidence: 99%

Differences in wind speeds according to measured and homogenized series in the Czech Republic, 1961–2015

Zahradníček

Brázdil

Štěpánek

et al. 2018

Intl Journal of Climatology

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Non-meteorological factors may bias wind speed measurements in a number of ways, among them the types of instruments used, their calibration and standards of maintenance, station relocations, and changes in the physical surroundings of a given station. Moreover, homogenisation of series of such measurements is more complicated than that of other climatic variables. This contribution uses figures from the Czech Republic as an example to demonstrate that measured (raw) data may produce different results in mean daily wind speeds from those acquired in homogenous series. A basic set of measurements taken in 1961-2015 at 178 meteorological stations was quality-checked and then homogenized using the Standard Normal Homogeneity test (SNHT) and the Maronna-Yohai test. Subsequent analyses were based on homogenized series from 119 stations. Station relocations and automation of wind speed measurements were identified as the most important sources of break-points in series of mean daily wind speeds. Generally lower mean wind speeds (as well as wind speed variability) were obtained from homogenous series in comparison with measured data, with reflections also found in their spatial distribution around the territory of the Czech Republic. Statistically significant decreasing linear trends calculated from measured and homogenized daily wind speed series from 119 stations confirm the existence of wind stilling as a typical feature of land mid-latitudes in recent decades. However, trends from measured data are highly overestimated compared with those from homogenized series.

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“…Terrain and surface type significantly impact the intensity and trajectory of typhoons, subsequently influencing the extreme wind speeds and duration experienced by station wind towers [30]. Examining the path of Typhoon "Lijima," it traversed primarily through Zhejiang, Jiangsu, and Shandong provinces.…”

Section: Influence Of the Cushion On The Wind Speed Of The Towermentioning

confidence: 99%

Characteristics and Driving Mechanisms of Coastal Wind Speed During Typhoon Season: A Case Study of Typhoon Lekima

Wang,

Fu,

Bashir

et al. 2024

Preprint

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The development and utilization of wind energy is of great significance to the sustainable development of China's economy and the realization of the goal of "dual carbon". Under the typhoon system, the randomness and volatility of wind speed become an important basis for affecting the energy efficiency utilization and design of wind turbines. Therefore, based on wind speed and wind direction data at 10m, 30m, 50m and 70m heights of a wind power tower in Yancheng, Jiangsu Province, this paper analyzes the change characteristics of wind speed and wind direction by using BFAST method and Hurst index. Based on typhoon body data, topographic data and mesoscale system wind direction data, the causes of the occurrence and development of wind speed and wind direction of wind tower are further analyzed, and a conclusion is drawn: (1) In BEAST method, there are 5, 5, 6 and 6 change points at the height of 10m, 30m, 50m and 70m respectively. Among them, the change points at the height of 10m, 30m and 50m all change before and after node 325, and the change time point at the height of 70m is inconsistent with other heights. Hurst index results show that the inconsistency at 70m altitude is stronger than that at other altitudes. (2) The wind direction sequence at 10m, 30m, 50m and 70m altitude is fitted by stages, and the direction of wind direction is SE-E-SE-SW-W-NW, where, At the height of 70m, the deviation of the fitting trend line from other altitudes is larger in the wind speed strengthening stage and weakening stage. (3) The wind speed at the height of 10m and 70m has different response degrees to the typhoon body. The correlation between the wind speed and the distance between the wind measurement tower and the typhoon near the center is stronger at the height of 10m than at the height of 70m. The surface type and the wind direction of the mesoscale system also have certain effects on the wind speed and direction. In this paper, the change characteristics and influencing factors of wind speed and direction of wind tower are studied, which provides methods and theoretical support for the study of short-term wind speed when typhoon passes through, and provides reliable support for the selection of wind power forecast indicators and the selection and design of wind turbines under extreme gale weather systems.

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Homogeneity analysis of wind data from 213 m high Cabauw tower

Cited by 6 publications

References 54 publications

Mean flow and turbulence characteristics of a nocturnal downburst recorded on a 213 m tall meteorological tower

Mean flow and turbulence characteristics of a nocturnal downburst recorded on a 213 m tall meteorological tower

Differences in wind speeds according to measured and homogenized series in the Czech Republic, 1961–2015

Characteristics and Driving Mechanisms of Coastal Wind Speed During Typhoon Season: A Case Study of Typhoon Lekima

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