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.