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ShareScore release 0.9.0
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2 results for “sonic anemometer”
Advanced Resolution Canopy FLOw (ARCFLO) experiment employing the SUbcanopy Sonic Anemometer Network (SUSAN) in WS01 of the HJ Andrews Experimental Forest, July-September 2012
This dataset was collected during one of the ARCFLO (Advanced Resolution Canopy FLOw) experiment series’ field campaigns. This field campaign was carried out in WS1 of the HJ Andrews Experimental forest during July-September 2012 by the biomicrometeorology group, PI Christoph Thomas. The ARCFLO experiment series spanned a wide range of topographic conditions (flat, sloped, mountainous) and canopy architectures (grassland, orchard, open forest, dense forest) and was carried out between 2011 and 2014. It was funded through the NSF Career Award in Physical and Dynamical Meteorology to PI Christoph Thomas. The main goal of this project was to develop a novel improved framework to describe the airflow and its transport under weak-wind conditions for a continuous variation of overstory density and stratification. The objective is to i) identify forcing mechanisms of submeso motions, ii) evaluate the impact of plant canopies of different overstory density on the wind, temperature, and humidity fields, and iii) improve predictors for mixing in plant canopies that incorporate the important physical mechanisms. Observations were be made with a unique combination of new and standard techniques including optical fiber measurement of temperature structure, acoustic remote sensing, ultrasonic anemometers, and laser-illuminated flow visualizations.
High frequency wind recored from sonic anemometers: Impact of swell waves on atmospheric surface turbulence
<p>Wind-wave interaction affects the fluxes of exchange processes across the air-sea wavy interface. For example, several measurements and modelling experiments have suggested that during the swell waves the wind shear and veer may significantly vary (depending on thermal stratification among other environmental factors). This dataset shows interesting wave energy penetration observed from sonic anemometer mounted at an offshore met-mast at 15m height above the mean sea level. More codes will be provided in Github</p> <p>https://github.com/MostafaBakhoda/JGRL\_2022\_WindWaveDecomposition.git</p> <p>The data are used in following submitted research:</p> <p>"Impact of swell waves on atmospheric surface turbulence: A wave-turbulence decomposition method"</p> <p> </p> <p> </p> <p> </p>
ScienceDex guides
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OpenNeuro
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