Dependence of friction velocity on the wind velocity in the surface air layer

2021 ◽  
Vol 34 (6) ◽  
pp. 453-457
Author(s):  
V.A. Gladkikh ◽  
V.P. Mamyshev ◽  
I.V. Nevzorova ◽  
S.L. Odintsov
2005 ◽  
Vol 6 (6) ◽  
pp. 805-811 ◽  
Author(s):  
D. W. Meek ◽  
J. H. Prueger ◽  
W. P. Kustas ◽  
J. L. Hatfield

Abstract Two eddy covariance instrument comparison studies were conducted before and after the Soil Moisture–Atmosphere Coupling Experiment (SMACEX) field campaign to 1) determine if observations from multiple sensors were equivalent for the measured variables over a uniform surface and to 2) determine a least significant difference (LSD) value for each variable to discriminate between daily and hourly differences in latent and sensible heat and carbon dioxide fluxes, friction velocity, and standard deviation of the vertical wind velocity from eddy covariance instruments placed in different locations within the study area. The studies were conducted in early June over an alfalfa field and in mid-September over a short grass field. Several statistical exploratory, graphical, and multiple-comparison procedures were used to evaluate each daily variable. Daily total or average data were used to estimate a pooled standard error and corresponding LSD values at the P = 0.05 and P = 0.01 levels using univariate procedures. There were no significant sensor differences in any of the daily measurements for either intercomparison period. Hourly averaged data were used to estimate a pooled standard error and corresponding LSD values at the P = 0.05 and P = 0.01 levels using mixed model procedures. Sensor differences for pre- and post-intercomparisons were minimal for hourly and daily values of CO2, water vapor, sensible heat, friction velocity, and standard deviation for vertical wind velocity. Computed LSD values were used to determine significant daily differences and threshold values for the variables monitored during the SMACEX campaign.


2017 ◽  
Vol 34 (6) ◽  
pp. 1225-1234
Author(s):  
Naoya Suzuki ◽  
Takuji Waseda ◽  
Mark A. Donelan ◽  
Takeshi Kinoshita

AbstractThere exists considerable disagreement among the observed values of the drag coefficient CD. To develop a model of CD, the wind stress generally will be calculated from the eddy correlation method. A buoy is suitable to measure the wind stress in many sea surface conditions. However, the motion correction is very difficult because the anemometer measures the wind components, including the motion of the buoy. In this study, as a first approach, the motion of a prototype buoy system with a three-axis sonic anemometer and a six-axis motion sensor installed in the small-size GPS observation buoy was investigated. The wave tank is in the ocean engineering basin of the Institute of Industrial Science, University of Tokyo, Japan. The imposed conditions were wave periods from 1.1 to 2.5 s; wind speeds of 0, 2, and 5 m s−1; and the wave spectrum was either regular or irregular. The motion of the buoy was measured in 120 cases. For all the wave periods and without wind, the wind velocity measured by the sonic anemometer and the velocity of the anemometer motion calculated from the motion sensor data showed good agreement. Also, in the condition with wind speeds of 2 and 5 m s−1, the motion-corrected wind velocity, obtained by deducting the velocity of the anemometer motion from the wind velocity measured by the anemometer, yielded the true wind velocity with better-than-average (4.3%) accuracy. The friction velocity from corrected wind velocity components shows agreement with the friction velocity measured from a fixed sonic anemometer within expected intrinsic error. The buoy system is expected to be able to measure the wind stress in the field. The next stage is to do comprehensive field tests.


2020 ◽  
Vol 42 ◽  
pp. e24
Author(s):  
Di Angelo Matos Pinheiro ◽  
Cléo Quaresma Dias-Júnior ◽  
Leonardo Deane de Abreu Sá ◽  
Antonio Ocimar Manzi

The most turbulent vortices that populate the forest-atmosphere interface have canopy height length scales. These vortices are mainly responsible for turbulent exchanges between inside and above canopy region. Thus, we used the vertical wind profiles obtained by 10 anemometers installed inside and above the forest canopy of the Rebio-Jarú experimental site, in the Amazon Rainforest. A third degree polynomial function was developed to better fit the wind profile and therefore estimate the inflection point height of the vertical wind profile (zi) a length scale associated with wind shear (Ls), and the wind speed at height zi. These length and velocity scales were used to obtain better fits for the dimensional wind profiles and turbulence statistical moments. Three dimensionless profile models were compared using friction velocity, wind velocity in zi and wind velocity at canopy height. It was observed that the dimensionless profiles using the velocity and shear calculated at zi provided support for the elaboration of more realistic parameterization of the turbulent exchange processes that occur both at the forest-atmosphere interface and inside the canopy.


2016 ◽  
Vol 38 ◽  
pp. 447
Author(s):  
Roberto Fernando Da Fonseca Lyra ◽  
Rosiberto Salustiano da Silva Junior ◽  
Marcos Antonio Lima Moura ◽  
Marney Chaves de Aragão Lisboa Amorim

The PVPN project (Previsão do Vento em Parques Eólicos no Nordeste Brasileiro “Wind forecast for wind farms in the Brazilian Northeast”) has been made aiming to developing a methodology for the prediction of short and medium-term wind energy in wind farms, proper Brazilian Northeast. This paper presents results from an intensive campaign, which, wind velocity and micrometeorological measurements including turbulence are made. Estimates made by the WRF model for the wind velocity were compared with friction velocity and the fluxes (sensible heat and latent heat). The results showed that the model represented well the daily cycles of the four variables with correlation coefficients between 0.79 and 0.94. The estimation of the wind velocity were very good with a difference of only 10.55%. The estimate of the remaining variables was bad to reasonable.


2012 ◽  
Author(s):  
Marc Emond ◽  
Doug Vandemark ◽  
James Forsythe ◽  
Albert J. Plueddemann ◽  
J. Thomas Farrar

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