scientimate.windavg

windvelavg, winddiravg = scientimate.windavg(windvel, winddir, NPointsAvg=None, NPointsInterval=None, dispout='no')

Description

Average wind velocity and wind direction

Inputs

windvel

Wind velocity time series data

winddir

Wind direction time series data in (degree)

NPointsAvg=length(windvel(:,1))

Number of data points from start of each section (interval) to be averaged

NPointsInterval=length(windvel(:,1))

Number of points that each section (interval) has

dispout=’no’

Define to display outputs or not (‘yes’: display, ‘no’: not display)

Outputs

windvelavg

Averaged wind velocity data

winddiravg

Averaged wind direction data in (degree)

Examples

import scientimate as sm
import numpy as np

windvel=10*np.random.rand(10)
winddir=45*np.random.rand(10)
windvelavg,winddiravg=sm.windavg(windvel,winddir)

windvel=10*np.random.rand(5*60) #One data point every minute for 5 hours
winddir=225*np.random.rand(5*60) #One data point every minute for 5 hours
windvelavg,winddiravg=sm.windavg(windvel,winddir,10,60,'yes')

References

Yamartino, R. J. (1984). A comparison of several “single-pass” estimators of the standard deviation of wind direction. Journal of Climate and Applied Meteorology, 23(9), 1362-1366.