scientimate.smoothwind#
windvel_smooth, winddir_smooth = scientimate.smoothwind(windvel=[], winddir=[], window_length=5, dispout='no')
Description#
Smooth wind data using moving average window
Inputs#
- windvel=[]
- Wind velocity time series dataLeave wind velocity empty if only winddir is available
- winddir=[]
- Wind direction time series dataLeave wind direction empty if only windvel is available
- window_length=5
Number of data points in sliding window for calculating moving average values, must be odd
- dispout=’no’
Define to display outputs or not (‘yes’: display, ‘no’: not display)
Outputs#
- windvel_smooth
Smoothed wind velocity
- winddir_smooth
- Smoothed wind directionWind directions with large variations are not smoothed
Examples#
import scientimate as sm
#Data from https://tidesandcurrents.noaa.gov for Grand Isle, LA, USA (8761724), for June 1st, 2017, reported hourly
windvel=[3,4.7,4.9,5.3,3.3,3.4,3.3,3.8,3.1,2,1.3,1.2,1.5,3.2,2.9,3,2.9,3.7,3.7,3.1,3.4,2.6,2.5,2.5] #24 Hour wind velocity
winddir=[78,86,88,107,131,151,163,163,153,150,148,105,105,75,95,103,97,103,108,111,124,183,171,113] #24 Hour wind direction
windvel_smooth,winddir_smooth=sm.smoothwind(windvel,winddir,5,'yes')
References#
U.S. Army Corps of Engineers (2015). Coastal Engineering Manual. Engineer Manual 1110-2-1100, Washington, D.C.: U.S. Army Corps of Engineers.
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.