This dataset is provided as part of the bReeze
package for use with the examples in the documantation.
It contains measured wind speed and wind direction in a 10 minute interval, collected by a meteorological mast.
Data frame with 36548 observations on the following 17 variables:
date_time
Date and time of observation as character vector.
v1_40m_avg
Average wind speed in m/s at a height of 40 m as numeric vector.
v1_40m_max
Maximum wind speed in m/s at a height of 40 m as numeric vector.
v1_40m_min
Minimum wind speed in m/s at a height of 40 m as numeric vector.
v1_40m_std
Standard deviation of wind speed in m/s at a height of 40 m as numeric vector.
v2_30m_avg
Average wind speed in m/s at a height of 30 m as numeric vector.
v2_30m_max
Maximum wind speed in m/s at a height of 30 m as numeric vector.
v2_30m_min
Minimum wind speed in m/s at a height of 30 m as numeric vector.
v2_30m_std
Standard deviation of wind speed in m/s at a height of 30 m as numeric vector.
v3_20m_avg
Average wind speed in m/s at a height of 20 m as numeric vector.
v3_20m_max
Maximum wind speed in m/s at a height of 20 m as numeric vector.
v3_20m_min
Minimum wind speed in m/s at a height of 20 m as numeric vector.
v3_20m_std
Standard deviation of wind speed in m/s at a height of 20 m as numeric vector.
dir1_40m_avg
Average wind direction in degrees from north at a height of 40 m as numeric vector.
dir1_40m_std
Standard deviation of wind direction in degrees from north at a height of 40 m as numeric vector.
dir2_30m_avg
Average wind direction in degrees from north at a height of 30 m as numeric vector.
dir2_30m_std
Standard deviation of wind direction in degrees from north at a height of 30 m as numeric vector.
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This is bReeze 0.4-0
Type changes("bReeze") to see changes/bug fixes, help(bReeze) for documentation
or citation("bReeze") for how to cite bReeze.
Attaching package: 'bReeze'
The following objects are masked from 'package:stats':
frequency, profile, ts
The following object is masked from 'package:utils':
timestamp
'data.frame': 36548 obs. of 17 variables:
$ date_time : chr "06.05.2009 11:20" "06.05.2009 11:30" "06.05.2009 11:40" "06.05.2009 11:50" ...
$ v1_40m_avg : num 9.44 7.67 6.51 6.81 9.13 6.88 5.21 6.48 7.45 6.35 ...
$ v1_40m_max : num 14.79 10.24 9.48 10.62 14.41 ...
$ v1_40m_min : num 4.17 5.68 4.17 4.92 4.17 3.79 2.65 3.03 4.54 4.17 ...
$ v1_40m_std : num 2.69 0.83 0.89 0.98 1.86 1.31 1.3 1.51 1.13 0.85 ...
$ v2_30m_avg : num 9.63 7.58 6.55 6.76 8.51 6.45 4.83 6.01 7.37 6.38 ...
$ v2_30m_max : num 15.54 9.84 9.08 10.6 13.64 ...
$ v2_30m_min : num 4.52 4.9 4.14 5.28 4.14 3.38 2.62 3.38 4.52 4.14 ...
$ v2_30m_std : num 2.92 0.98 0.9 0.82 1.93 1.44 1.29 1.56 1.13 0.92 ...
$ v3_20m_avg : num 9.21 7.19 6.34 6.43 8.12 5.92 4.41 5.54 6.95 6.07 ...
$ v3_20m_max : num 14.79 9.48 9.1 9.1 13.27 ...
$ v3_20m_min : num 4.17 4.92 3.79 4.54 3.79 3.03 2.27 2.65 4.17 4.17 ...
$ v3_20m_std : num 2.81 0.91 1.03 0.74 1.78 1.48 1.12 1.62 1.07 0.92 ...
$ dir1_40m_avg: num 266 275 261 236 191 ...
$ dir1_40m_std: num 21 6.44 10.99 20.52 10.45 ...
$ dir2_30m_avg: num 265 274 260 234 190 ...
$ dir2_30m_std: num 20.25 7.04 11.6 19.69 10.59 ...
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