Turbulence spectra of CO2, water vapor, temperature and wind velocity fluctuations over a crop surface

1985 ◽  
Vol 33 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Dean E. Anderson ◽  
Shashi B. Verma
Keyword(s):  
Water Vapor ◽  
Wind Velocity ◽  
Velocity Fluctuations ◽  
Turbulence Spectra ◽  
Vapor Temperature

Turbulence spectra of CO2, water vapor, temperature and velocity over a deciduous forest

1986 ◽  
Vol 38 (1-3) ◽  
pp. 81-99 ◽  
Author(s):  
Dean E. Anderson ◽  
Shashi B. Verma ◽  
Robert J. Clement ◽  
Dennis D. Baldocchi ◽  
Detlef R. Matt
Keyword(s):  
Water Vapor ◽  
Deciduous Forest ◽  
Turbulence Spectra ◽  
Vapor Temperature

scholarly journals A Method of Estimating Three-Dimensional Wind Velocity and Conversion Rate of Water Vapor Using Information on Echo from Three-Dimensionally Scanning Radar

1992 ◽  
Vol 36 ◽  
pp. 483-488
Author(s):  
Eiichi Nakakita ◽  
Minoru Tanaka ◽  
Michiharu Shiiba ◽  
Shuichi Ikebuchi ◽  
Takuma Takasao
Keyword(s):  
Water Vapor ◽  
Wind Velocity ◽  
Conversion Rate ◽  
Three Dimensional

scholarly journals Scale-dependent Polarization of Solar Wind Velocity Fluctuations at the Inertial and Kinetic Scales

2019 ◽  
Vol 870 (1) ◽  
pp. 40 ◽  
Author(s):  
Jana Šafránková ◽  
Zdeněk Němeček ◽  
František Němec ◽  
Daniel Verscharen ◽  
Christopher H. K. Chen ◽  
...  
Keyword(s):  
Solar Wind ◽  
Wind Velocity ◽  
Solar Wind Velocity ◽  
Velocity Fluctuations ◽  
Dependent Polarization

Prediction of wind velocity fluctuations from upstream data

1987 ◽  
Vol 26 (1) ◽  
pp. 53-64
Author(s):  
Timothy A. Reinhold ◽  
David J. Halcrow
Keyword(s):  
Wind Velocity ◽  
Velocity Fluctuations

scholarly journals Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar

2020 ◽  
Vol 5 (2) ◽  
pp. 519-541 ◽  
Author(s):  
Felix Kelberlau ◽  
Jakob Mann
Keyword(s):  
Wind Velocity ◽  
Time Lag ◽  
Turbulence Models ◽  
Horizontal Wind ◽  
Cross Contamination ◽  
Turbulence Spectra ◽  
Contamination Effect ◽  
Turbulence Velocity ◽  
Wind Lidar ◽  
Velocity Spectra

Abstract. Turbulence velocity spectra are of high importance for the estimation of loads on wind turbines and other built structures, as well as for fitting measured turbulence values to turbulence models. Spectra generated from reconstructed wind vectors of Doppler beam swinging (DBS) wind lidars differ from spectra based on one-point measurements. Profiling wind lidars have several characteristics that cause these deviations, namely cross-contamination between the three velocity components, averaging along the lines of sight and the limited sampling frequency. This study focuses on analyzing the cross-contamination effect. We sample wind data in a computer-generated turbulence box to predict lidar-derived turbulence spectra for three wind directions and four measurement heights. The data are then processed with the conventional method and with the method of squeezing that reduces the longitudinal separation distances between the measurement locations of the different lidar beams by introducing a time lag into the data processing. The results are analyzed and compared to turbulence velocity spectra from field measurements with a Windcube V2 wind lidar and ultrasonic anemometers as reference. We successfully predict lidar-derived spectra for all test cases and found that their shape is dependent on the angle between the wind direction and the lidar beams. With conventional processing, cross-contamination affects all spectra of the horizontal wind velocity components. The method of squeezing improves the spectra to an acceptable level only for the case of the longitudinal wind velocity component and when the wind blows parallel to one of the lines of sight. The analysis of the simulated spectra described here improves our understanding of the limitations of turbulence measurements with DBS profiling wind lidar.

scholarly journals Raman Lidar Observations: Simultaneous Measurements of Water Vapor, Temperature and Aerosol Vertical Profiles, Part I.

1996 ◽  
Vol 48 (9) ◽  
pp. 1127-1135 ◽  
Author(s):  
Takashi Shibata ◽  
Tetsu Sakai ◽  
Masahiko Hayashi ◽  
Tetsuro Ono ◽  
Soung-An Kwon ◽  
...  
Keyword(s):  
Water Vapor ◽  
Vertical Profiles ◽  
Raman Lidar ◽  
Simultaneous Measurements ◽  
Lidar Observations ◽  
Vapor Temperature
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