scholarly journals Vertical wind distribution in the polar thermosphere during HorizontalERegion Experiment (HEX) campaign

2004 ◽  
Vol 109 (A12) ◽  
Author(s):  
M. Ishii
Keyword(s):  
Vertical Wind ◽  
Wind Distribution

scholarly journals TOPOGRAPHY DEPENDENT VERTICAL WIND DISTRIBUTION ESTIMATION

2017 ◽  
Vol 7 (2) ◽  
pp. 24-27
Author(s):  
Karolina Lamkowska ◽  
Piotr Domagalski
Keyword(s):  
Surface Roughness ◽  
Wind Profile ◽  
A Priori ◽  
Vertical Wind ◽  
High Agreement ◽  
Novel Technique ◽  
Wind Potential ◽  
Proposed Modification ◽  
Wind Distribution ◽  
Initial Results

We propose a novel technique for estimation of vertical wind distribution. Proposed modification of logarithmic profile relies on introducing topography dependent dispersion parameter calculated based on fractal dimension of topography. Initial results compared against full scale wind measurement show high agreement. Proposed methodology brings promise of precise a priori calculations of wind profile in case of non-flat, nonhomogeneous surface roughness terrain, improving the precision of wind potential estimation for wind energy sector.

Minimum altitude-loss soaring in a sinusoidal vertical wind distribution

1980 ◽  
Vol 1 (3) ◽  
pp. 205-215 ◽  
Author(s):  
Bion L. Pierson ◽  
Imao Chen
Keyword(s):  
Vertical Wind ◽  
Wind Distribution

A low-cost UAS for monitoring vertical wind distribution

2017 ◽  
Author(s):  
Linus P. Casassa ◽  
Frederik Knop ◽  
Jorge Carrasco ◽  
Gino Casassa
Keyword(s):  
Low Cost ◽  
Vertical Wind ◽  
Wind Distribution

scholarly journals Comparison of Weibull Estimation Methods for Diverse Winds

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Ferhat Bingöl
Keyword(s):  
Wind Farm ◽  
Study Data ◽  
Distribution Functions ◽  
Likelihood Method ◽  
Estimation Methods ◽  
Weibull Function ◽  
Wind Speeds ◽  
Low Wind Speed ◽  
Low Wind Speeds ◽  
Wind Distribution

Wind farm siting relies on in situ measurements and statistical analysis of the wind distribution. The current statistical methods include distribution functions. The one that is known to provide the best fit to the nature of the wind is the Weibull distribution function. It is relatively straightforward to parameterize wind resources with the Weibull function if the distribution fits what the function represents but the estimation process gets complicated if the distribution of the wind is diverse in terms of speed and direction. In this study, data from a 101 m meteorological mast were used to test several estimation methods. The available data display seasonal variations, with low wind speeds in different seasons and effects of a moderately complex surrounding. The results show that the maximum likelihood method is much more successful than industry standard WAsP method when the diverse winds with high percentile of low wind speed occur.

Minimal modelling approach to describe turbulent rocket roll dynamics in a vertical wind tunnel

2011 ◽  
Vol 226 (9) ◽  
pp. 1042-1060 ◽  
Author(s):  
C E Hann ◽  
M Snowdon ◽  
A Rao ◽  
O Winn ◽  
N Wongvanich ◽  
...  
Keyword(s):  
Wind Tunnel ◽  
Vertical Wind ◽  
Modelling Approach

scholarly journals An Observational Study of Mesoscale Convective Systems with Heavy Rainfall over the Korean Peninsula

2006 ◽  
Vol 21 (2) ◽  
pp. 125-148 ◽  
Author(s):  
Hyung Woo Kim ◽  
Dong Kyou Lee
Keyword(s):  
Observational Study ◽  
Korean Peninsula ◽  
Wind Shear ◽  
Heavy Rainfall ◽  
Vertical Wind Shear ◽  
Vertical Wind ◽  
Mesoscale Convective Systems ◽  
Low Level ◽  
Convective Systems ◽  
Mesoscale Convective

Abstract A heavy rainfall event induced by mesoscale convective systems (MCSs) occurred over the middle Korean Peninsula from 25 to 27 July 1996. This heavy rainfall caused a large loss of life and property damage as a result of flash floods and landslides. An observational study was conducted using Weather Surveillance Radar-1988 Doppler (WSR-88D) data from 0930 UTC 26 July to 0303 UTC 27 July 1996. Dominant synoptic features in this case had many similarities to those in previous studies, such as the presence of a quasi-stationary frontal system, a weak upper-level trough, sufficient moisture transportation by a low-level jet from a tropical storm landfall, strong potential and convective instability, and strong vertical wind shear. The thermodynamic characteristics and wind shear presented favorable conditions for a heavy rainfall occurrence. The early convective cells in the MCSs initiated over the coastal area, facilitated by the mesoscale boundaries of the land–sea contrast, rain–no rain regions, saturated–unsaturated soils, and steep horizontal pressure and thermal gradients. Two MCSs passed through the heavy rainfall regions during the investigation period. The first MCS initiated at 1000 UTC 26 July and had the characteristics of a supercell storm with small amounts of precipitation, the appearance of a mesocyclone with tilting storm, a rear-inflow jet at the midlevel of the storm, and fast forward propagation. The second MCS initiated over the upstream area of the first MCS at 1800 UTC 26 July and had the characteristics of a multicell storm, such as a broken areal-type squall line, slow or quasi-stationary backward propagation, heavy rainfall in a concentrated area due to the merging of the convective storms, and a stagnated cluster system. These systems merged and stagnated because their movement was blocked by the Taebaek Mountain Range, and they continued to develop because of the vertical wind shear resulting from a low-level easterly inflow.

scholarly journals An empirical-analytical model of the vertical wind speed profile above and within an Amazon forest site

2015 ◽  
Vol 23 (1) ◽  
pp. 158-164 ◽  
Author(s):  
Cledenilson Mendonça de Souza ◽  
Cléo Quaresma Dias-Júnior ◽  
Júlio Tóta ◽  
Leonardo Deane de Abreu Sá
Keyword(s):  
Wind Speed ◽  
Analytical Model ◽  
Vertical Wind ◽  
Forest Site ◽  
Amazon Forest ◽  
Speed Profile ◽  
Wind Speed Profile ◽  
Vertical Wind Speed
Sign in / Sign up

Export Citation Format

Share Document