bReeze (version 0.4-4)

set: Creation of datasets

Description

Creates a dataset object, by combining all signals of one height of measurement.

Usage

set(height, desc, v.avg, v.max, v.min, v.std, 
  dir.avg, dir.std, tmp, ...)

Value

Returns a dataset object which is a list of:

height

Height of measurement.

data

Data of measured signals.

Arguments

height

Height of measurement in m as numeric value.

desc

Plain text information about the set, signals, instruments, etc. as string (optional).

v.avg

Average of wind speed within interval in m/s as numeric vector (optional, if at least one other signal is given).

v.max

Maximum of wind speed within interval in m/s as numeric vector (optional, if at least one other signal is given).

v.min

Minimum of wind speed within interval in m/s as numeric vector (optional, if at least one other signal is given).

v.std

Standard deviation of wind speed within interval in m/s as numeric vector (optional, if at least one other signal is given).

dir.avg

Average of wind direction within interval in degrees from north as numeric vector (optional, if at least one other signal is given).

dir.std

Standard deviation of wind direction within interval in degrees from north as numeric vector (optional, if at least one other signal is given).

tmp

Temperature in °C as numeric vector (optional, if at least one other signal is given).

...

Further signals, e.g. air pressure, humidity, etc. as numeric vector (optional).

Author

Christian Graul

Details

Anemometer and wind vanes are usually mounted as pairs at same or similar heights of the met mast. Signals with marginal differences in height, about 1 or 2 m, may or may not be combined to one dataset. In case of a combination of two heights the height of the anemometer should be used for the whole dataset, as in subsequent analyses wind speed might be extrapolated to other heights. A dataset shall not contain data from more than one sensor of the same type, say data of two anemometers.

A typical interval of wind measurments is 10 minutes, but also other intervals are applicable.

For datasets containing mean wind speed v.avg and its standard deviation within the time interval v.std, the turbulence intensity is calculated and added to the data, named turb.int. See turbulence for more details about turbulence intensity.

See Also

mast

Examples

if (FALSE) {
# load data
data("winddata", package="bReeze")

# minimal dataset
s <- set(height=40, v.avg=winddata[,2])

# detailed dataset
s2 <- set(height=40, desc=
  "C1: cup anemometer (SN: 4.3250.128), A1: wind vane (SN: 4.2800.205)", 
  v.avg=winddata[,2], v.max=winddata[,3], v.min=winddata[,4], 
  v.std=winddata[,5], dir.avg=winddata[,14], dir.std=winddata[,15])
}