buildBiasHourlyAverages: Build a dataframe with hourly averaged observed and predicted...

In nwagenbrenner/windtools: Tools to process and visualize wind data

Description

buildBiasHourlyAverages returns dataframe with hourly averaged data

Usage

buildBiasHourlyAverages(df)

Arguments

df	bias dataframe returned from wnBuildBiasDf subset on one model

Details

This fucntion returns a dataframe with hourly averages of observed and predicted wind data. The dataframe should contain only one model for predictions. Data are averaged over all timesteps to produce hourly averages for each hour of the day. This is useful to see, for example, what the typcial wind field looks like at 1000 LT. It may be most usefule to call this function after other subsetting operations have been done. For example, you may want to first subset on speed to filter out high-wind event cases to examine diurnal wind patterns.

Value

dataframe with hourly averages

nwagenbrenner/windtools documentation built on May 24, 2019, 10:56 a.m.