Description Usage Arguments Details Value Optional graphical parameters Author(s) References See Also Examples
Calculates the availability for pairs of wind speed and wind direction of a met mast.
1 2 3 4 5 |
mast |
Met mast object created by |
v.set |
Set(s) to be used for wind speed, specified as set number(s) or set name(s). Argument is optional – if missing, all sets containing wind speed and wind direction data are used. |
dir.set |
Set(s) to be used for wind direction, specified as set number(s) or set name(s). Argument is optional – if missing, the set(s) used for wind speed data will also be used for wind direction. |
subset |
Optional start and end time stamp for a data subset, as string vector |
digits |
Number of decimal places to be used for results as numeric value. Default is |
print |
If |
x |
Availability object created by |
set |
Number of dataset to be plotted, specified as set number or set name (optional). |
... |
Arguments to be passed to methods. For optional graphical parameters see below. |
The availability is the number of pairs of valid wind speed and valid wind direction data samples as a percentage of the total possible for the measurement period, i.e.:
Availability = N(v_valid & dir_valid) / N
where N is the total possible number of samples and v_valid & dir_valid is a pair of valid wind speed and direction data.
Causes of invalid or missing data are manifold. Typical causes are icing and defects of sensors or other measurement equipment.
Returns a list of sub lists for each pair of v.set
/dir.set
containing:
total |
Total availability (%), effective period (days) and total period (days) of a set/pair of wind speed and direction. |
daily |
Availability per day, i.e. number of samples per day. |
The following graphical parameters can optionally be added to customize the plot:
border
: Colour of the cell borders – default value is "black"
.
cex
: Numeric value, giving the amount by which text on the plot should be scaled relative to the default (which is 1).
cex.axis
: Amount by which axis annotations should be scaled, as numeric value.
cex.lab
: Amount by which axis labels should be scaled, as numeric value.
col
: Vector of three text colours (or just one colour), where the first indicates 'full availability', the second 'partial availability' and the third 'not available' – default is "black"
.
col.axis
: Colour to be used for axis – default is "gray45"
.
col.lab
: Colour to be used for axis labels – default is "black"
.
fill
: Vector of three fill colours (or just one colour), where the first indicates 'full availability', the second 'partial availability' and the third 'not available'.
lwd
: Line widths of the cell borders. See par
for usage.
mar
: A numerical vector of the form c(bottom, left, top, right) which gives the number of lines of margin to be specified on the four sides of the plot – default is c(0, 0, 0, 0)
.
plot.names
: If TRUE
(the default), the names of the datasets is plotted as second label of the y axis.
xlab
: Alternative label for the x axis.
ylab
: Alternative label for the y axis.
Christian Graul
Brower, M., Marcus, M., Taylor, M., Bernadett, D., Filippelli, M., Beaucage, P., Hale, E., Elsholz, K., Doane, J., Eberhard, M., Tensen, J., Ryan, D. (2010) Wind Resource Assessment Handbook. http://www.renewablenrgsystems.com/TechSupport/~/media/Files/PDFs/wind_resource_handbook.ashx
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | ## Not run:
## load and prepare data
data("winddata", package="bReeze")
set40 <- set(height=40, v.avg=winddata[,2], v.std=winddata[,5],
dir.avg=winddata[,14])
set30 <- set(height=30, v.avg=winddata[,6], v.std=winddata[,9],
dir.avg=winddata[,16])
set20 <- set(height=20, v.avg=winddata[,10], v.std=winddata[,13])
ts <- timestamp(timestamp=winddata[,1])
neubuerg <- mast(timestamp=ts, set40=set40, set30=set30,
set20=set20)
neubuerg <- clean(mast=neubuerg)
## calculate availability
neubuerg.avail <- availability(mast=neubuerg)
# compare the total availability of 'set40' and 'set30'
neubuerg.avail$set40$total
neubuerg.avail$set30$total
# check the daily availability of 'set40'
neubuerg.avail$set40$daily
# note: availability for 'set20' is missing - its availability is NULL,
# since it does not contain wind direction data
# calculate availability for 'set20' using wind direction data from 'set40'
set20.avail <- availability(mast=neubuerg, v.set=3, dir.set=1)
# same as above
set20.avail <- availability(mast=neubuerg, v.set="set20", dir.set="set40")
# calculate availability for all sets using wind direction data from 'set40'
neubuerg.avail <- availability(mast=neubuerg, v.set=c(1,2,3), dir.set=1)
# data subsets
availability(mast=neubuerg, v.set=1,
subset=c("2009-12-01 00:10:00", "2009-12-31 23:50:00"))
availability(mast=neubuerg, v.set=1,
subset=c("2010-01-01 00:10:00", NA)) # just 'start' time stamp
availability(mast=neubuerg, v.set=1,
subset=c(NA, "2009-12-31 23:50:00")) # just 'end' time stamp
# change number of digits and hide results
neubuerg.avail <- availability(mast=neubuerg, digits=0)
neubuerg.avail <- availability(mast=neubuerg, print=FALSE)
neubuerg.avail
## plot availability objects
plot(neubuerg.avail) # default
plot(neubuerg.avail, set=2) # one dataset
plot(neubuerg.avail, set="set30") # same as above
plot(neubuerg.avail, set=c(1,2)) # several datasets
# customize plot
plot(neubuerg.avail, border="darkgray", cex.axis=0.7,
cex.lab=0.9, col=c("darkgreen", "orange", "red4"), col.axis="blue",
col.lab="blue", fill=c("lightgreen", "yellow", "red"), lwd=0.5,
mar=c(1,1,1,1), plot.names=FALSE, xlab="jour", ylab="mois")
## End(Not run)
|
This is bReeze 0.4-3
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, ts
The following object is masked from ‘package:utils’:
timestamp
Pattern found: %d.%m.%Y %H:%M
Cleaning set 1...
2938 samples lower than 0.4 replaced by 'NA' in average wind speed
14790 samples with average wind speed lower than 4 m/s replaced by 'NA' in turbulence intensity
Cleaning set 2...
3361 samples lower than 0.4 replaced by 'NA' in average wind speed
15366 samples with average wind speed lower than 4 m/s replaced by 'NA' in turbulence intensity
Cleaning set 3...
2896 samples lower than 0.4 replaced by 'NA' in average wind speed
16645 samples with average wind speed lower than 4 m/s replaced by 'NA' in turbulence intensity
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set40 86.3 233.4 270.5
set30 85.2 230.5 270.5
number of daily samples:
set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 78.8 0 0 0 0 0 76 144 143 135 143 129 135 144 143 142 144
2009-06 92.9 143 135 110 144 144 140 128 72 90 111 128 140 131 141 139 143
2009-07 88.0 143 144 143 98 109 91 142 144 144 143 136 117 132 113 98 101
2009-08 86.0 143 126 131 124 122 144 138 124 95 108 77 108 96 119 143 144
2009-09 95.9 142 126 135 132 106 133 144 144 142 136 144 144 109 144 144 144
2009-10 95.0 142 116 129 144 144 124 144 144 144 142 144 142 142 144 140 144
2009-11 40.4 143 120 118 136 105 97 144 144 144 144 133 115 144 60 0 0
2009-12 94.9 137 144 143 143 131 144 144 144 144 144 139 144 144 144 143 144
2010-01 88.3 97 128 144 94 101 141 144 144 120 136 143 137 109 129 143 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 125 119 133 138 144 144 136 124 125 144 144 139 144 137 144
2009-06 119 144 144 144 144 144 144 144 144 138 135 144 144 144
2009-07 105 130 141 137 95 106 124 144 144 144 127 114 136 144 140
2009-08 143 130 105 104 131 144 127 136 112 88 117 144 144 129 144
2009-09 144 144 144 144 141 144 136 141 133 144 144 144 137 134
2009-10 142 136 144 135 126 130 117 142 144 122 144 144 113 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 137 144 121 142 144 144 144 144 144 129 144 134 125 70 93
2010-01 97 109 144 142 135 88 140 141 127 122 114 144 144 102 138
set30
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 77.9 0 0 0 0 0 76 144 142 131 141 127 132 144 143 140 144
2009-06 92.6 143 138 102 144 144 137 128 78 93 110 127 138 129 140 132 144
2009-07 86.0 143 144 142 91 105 82 140 144 144 142 134 111 121 107 97 96
2009-08 84.1 143 116 124 120 121 144 137 123 90 98 72 105 94 118 138 142
2009-09 94.2 141 122 135 130 92 125 144 144 139 136 144 144 103 144 142 144
2009-10 93.6 141 105 117 144 144 122 144 144 143 134 144 140 143 144 136 144
2009-11 40.0 142 120 122 129 97 92 143 144 144 144 131 117 144 60 0 0
2009-12 94.2 137 144 142 143 125 144 144 144 144 144 139 144 144 144 144 144
2010-01 88.2 92 131 144 89 91 136 144 144 126 136 144 139 108 125 144 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 122 111 124 138 144 144 137 127 124 144 144 137 143 131 144
2009-06 119 144 144 144 144 144 144 144 144 137 133 143 144 144
2009-07 105 124 137 134 93 108 118 144 144 144 122 107 133 144 139
2009-08 143 126 103 104 130 144 124 136 105 81 112 144 144 128 144
2009-09 144 144 144 144 137 142 134 133 128 144 144 144 133 126
2009-10 137 135 144 132 126 125 115 139 144 118 144 144 112 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 141 144 108 141 144 144 144 144 144 126 144 129 116 71 94
2010-01 110 109 144 143 139 89 144 142 121 131 121 144 143 88 132
call: availability(mast=neubuerg, v.set="all", dir.set="all", subset=NA, digits=1, print=TRUE)
availability effective.period total.period
1 86.3 233.4 270.5
availability effective.period total.period
1 85.2 230.5 270.5
all 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 78.8 0 0 0 0 0 76 144 143 135 143 129 135 144 143 142 144
2009-06 92.9 143 135 110 144 144 140 128 72 90 111 128 140 131 141 139 143
2009-07 88.0 143 144 143 98 109 91 142 144 144 143 136 117 132 113 98 101
2009-08 86.0 143 126 131 124 122 144 138 124 95 108 77 108 96 119 143 144
2009-09 95.9 142 126 135 132 106 133 144 144 142 136 144 144 109 144 144 144
2009-10 95.0 142 116 129 144 144 124 144 144 144 142 144 142 142 144 140 144
2009-11 40.4 143 120 118 136 105 97 144 144 144 144 133 115 144 60 0 0
2009-12 94.9 137 144 143 143 131 144 144 144 144 144 139 144 144 144 143 144
2010-01 88.3 97 128 144 94 101 141 144 144 120 136 143 137 109 129 143 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 125 119 133 138 144 144 136 124 125 144 144 139 144 137 144
2009-06 119 144 144 144 144 144 144 144 144 138 135 144 144 144 NA
2009-07 105 130 141 137 95 106 124 144 144 144 127 114 136 144 140
2009-08 143 130 105 104 131 144 127 136 112 88 117 144 144 129 144
2009-09 144 144 144 144 141 144 136 141 133 144 144 144 137 134 NA
2009-10 142 136 144 135 126 130 117 142 144 122 144 144 113 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NA
2009-12 137 144 121 142 144 144 144 144 144 129 144 134 125 70 93
2010-01 97 109 144 142 135 88 140 141 127 122 114 144 144 102 138
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set20_set40 84.8 229.5 270.5
number of daily samples:
set20_set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 77.9 0 0 0 0 0 76 144 142 125 140 128 132 143 143 141 144
2009-06 91.5 143 135 99 143 144 135 119 69 90 109 125 136 127 139 132 143
2009-07 86.8 143 144 142 94 105 85 142 144 144 143 132 113 127 108 96 98
2009-08 84.7 143 119 125 123 122 144 138 124 91 101 73 107 95 119 141 143
2009-09 93.8 141 123 135 132 103 129 144 144 138 135 144 143 101 144 142 144
2009-10 93.9 142 113 127 144 144 119 144 144 143 135 144 136 135 144 134 144
2009-11 39.7 142 118 117 131 92 91 143 144 144 144 131 115 144 60 0 0
2009-12 93.9 137 144 142 143 127 144 144 144 143 143 135 144 144 144 143 142
2010-01 85.4 89 127 144 87 87 129 144 144 112 128 142 136 96 120 143 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 122 112 125 138 144 144 136 123 123 144 144 139 144 137 144
2009-06 117 144 144 144 144 144 144 140 144 135 133 144 144 144
2009-07 104 126 140 137 94 106 120 143 144 144 125 113 135 144 140
2009-08 143 129 102 103 131 144 120 136 108 80 114 144 144 129 144
2009-09 144 144 144 144 135 138 133 135 127 144 144 143 124 109
2009-10 141 136 144 135 126 127 114 140 144 121 144 144 111 134 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 136 144 109 136 144 144 144 144 144 128 144 132 124 69 88
2010-01 94 104 144 140 134 87 140 138 123 117 113 144 143 87 132
call: availability(mast=neubuerg, v.set=3, dir.set=1, subset=NA, digits=1, print=TRUE)
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set20_set40 84.8 229.5 270.5
number of daily samples:
set20_set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 77.9 0 0 0 0 0 76 144 142 125 140 128 132 143 143 141 144
2009-06 91.5 143 135 99 143 144 135 119 69 90 109 125 136 127 139 132 143
2009-07 86.8 143 144 142 94 105 85 142 144 144 143 132 113 127 108 96 98
2009-08 84.7 143 119 125 123 122 144 138 124 91 101 73 107 95 119 141 143
2009-09 93.8 141 123 135 132 103 129 144 144 138 135 144 143 101 144 142 144
2009-10 93.9 142 113 127 144 144 119 144 144 143 135 144 136 135 144 134 144
2009-11 39.7 142 118 117 131 92 91 143 144 144 144 131 115 144 60 0 0
2009-12 93.9 137 144 142 143 127 144 144 144 143 143 135 144 144 144 143 142
2010-01 85.4 89 127 144 87 87 129 144 144 112 128 142 136 96 120 143 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 122 112 125 138 144 144 136 123 123 144 144 139 144 137 144
2009-06 117 144 144 144 144 144 144 140 144 135 133 144 144 144
2009-07 104 126 140 137 94 106 120 143 144 144 125 113 135 144 140
2009-08 143 129 102 103 131 144 120 136 108 80 114 144 144 129 144
2009-09 144 144 144 144 135 138 133 135 127 144 144 143 124 109
2009-10 141 136 144 135 126 127 114 140 144 121 144 144 111 134 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 136 144 109 136 144 144 144 144 144 128 144 132 124 69 88
2010-01 94 104 144 140 134 87 140 138 123 117 113 144 143 87 132
call: availability(mast=neubuerg, v.set=3, dir.set=1, subset=NA, digits=1, print=TRUE)
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set40 86.3 233.4 270.5
set30_set40 84.7 229.2 270.5
set20_set40 84.8 229.5 270.5
number of daily samples:
set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 78.8 0 0 0 0 0 76 144 143 135 143 129 135 144 143 142 144
2009-06 92.9 143 135 110 144 144 140 128 72 90 111 128 140 131 141 139 143
2009-07 88.0 143 144 143 98 109 91 142 144 144 143 136 117 132 113 98 101
2009-08 86.0 143 126 131 124 122 144 138 124 95 108 77 108 96 119 143 144
2009-09 95.9 142 126 135 132 106 133 144 144 142 136 144 144 109 144 144 144
2009-10 95.0 142 116 129 144 144 124 144 144 144 142 144 142 142 144 140 144
2009-11 40.4 143 120 118 136 105 97 144 144 144 144 133 115 144 60 0 0
2009-12 94.9 137 144 143 143 131 144 144 144 144 144 139 144 144 144 143 144
2010-01 88.3 97 128 144 94 101 141 144 144 120 136 143 137 109 129 143 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 125 119 133 138 144 144 136 124 125 144 144 139 144 137 144
2009-06 119 144 144 144 144 144 144 144 144 138 135 144 144 144
2009-07 105 130 141 137 95 106 124 144 144 144 127 114 136 144 140
2009-08 143 130 105 104 131 144 127 136 112 88 117 144 144 129 144
2009-09 144 144 144 144 141 144 136 141 133 144 144 144 137 134
2009-10 142 136 144 135 126 130 117 142 144 122 144 144 113 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 137 144 121 142 144 144 144 144 144 129 144 134 125 70 93
2010-01 97 109 144 142 135 88 140 141 127 122 114 144 144 102 138
set30_set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 77.7 0 0 0 0 0 76 144 142 131 141 127 132 144 143 140 144
2009-06 91.8 143 135 101 144 144 137 123 70 90 109 125 138 127 139 132 143
2009-07 85.7 143 144 142 90 104 82 140 144 144 142 134 111 121 106 95 95
2009-08 83.7 143 116 123 119 121 144 136 121 88 97 72 105 93 117 138 142
2009-09 94.1 141 121 135 130 91 125 144 144 138 135 144 144 103 144 142 144
2009-10 93.5 141 105 117 144 144 121 144 144 143 134 144 140 142 144 136 144
2009-11 39.8 142 118 118 129 95 92 143 144 144 144 130 115 144 60 0 0
2009-12 93.8 137 144 142 143 125 144 144 144 144 144 138 144 144 144 143 144
2010-01 86.4 91 127 144 88 87 136 144 144 119 134 143 137 103 122 143 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 122 111 124 138 144 144 136 122 120 144 144 137 143 131 144
2009-06 114 144 144 144 144 144 144 144 144 136 133 143 144 144
2009-07 105 123 137 134 91 106 118 144 144 144 122 106 133 144 139
2009-08 143 125 101 103 130 144 124 135 105 81 112 144 144 128 144
2009-09 144 144 144 144 137 142 134 133 128 144 144 144 133 126
2009-10 137 135 144 132 125 125 115 139 144 118 144 144 110 136 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 137 144 108 141 144 144 144 144 144 124 144 129 116 69 85
2010-01 97 106 144 141 135 88 140 141 120 120 114 144 143 88 132
set20_set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 77.9 0 0 0 0 0 76 144 142 125 140 128 132 143 143 141 144
2009-06 91.5 143 135 99 143 144 135 119 69 90 109 125 136 127 139 132 143
2009-07 86.8 143 144 142 94 105 85 142 144 144 143 132 113 127 108 96 98
2009-08 84.7 143 119 125 123 122 144 138 124 91 101 73 107 95 119 141 143
2009-09 93.8 141 123 135 132 103 129 144 144 138 135 144 143 101 144 142 144
2009-10 93.9 142 113 127 144 144 119 144 144 143 135 144 136 135 144 134 144
2009-11 39.7 142 118 117 131 92 91 143 144 144 144 131 115 144 60 0 0
2009-12 93.9 137 144 142 143 127 144 144 144 143 143 135 144 144 144 143 142
2010-01 85.4 89 127 144 87 87 129 144 144 112 128 142 136 96 120 143 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 122 112 125 138 144 144 136 123 123 144 144 139 144 137 144
2009-06 117 144 144 144 144 144 144 140 144 135 133 144 144 144
2009-07 104 126 140 137 94 106 120 143 144 144 125 113 135 144 140
2009-08 143 129 102 103 131 144 120 136 108 80 114 144 144 129 144
2009-09 144 144 144 144 135 138 133 135 127 144 144 143 124 109
2009-10 141 136 144 135 126 127 114 140 144 121 144 144 111 134 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 136 144 109 136 144 144 144 144 144 128 144 132 124 69 88
2010-01 94 104 144 140 134 87 140 138 123 117 113 144 143 87 132
call: availability(mast=neubuerg, v.set=c(1, 2, 3), dir.set=1, subset=NA, digits=1, print=TRUE)
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set40 95 29.4 30.9
number of daily samples:
set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-12 94.9 137 144 143 143 131 144 144 144 144 144 139 144 144 144 143 144
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-12 137 144 121 142 144 144 144 144 144 129 144 134 125 70 93
call: availability(mast=neubuerg, v.set=1, dir.set=1, subset=c("2009-12-01 00:10:00", "2009-12-31 23:50:00"), digits=1, print=TRUE)
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set40 88.3 27.4 31
number of daily samples:
set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
2010-01 88.3 97 128 144 94 101 141 144 144 120 136 143 137 109 129 143 143 97
18 19 20 21 22 23 24 25 26 27 28 29 30 31
2010-01 109 144 142 135 88 140 141 127 122 114 144 144 102 138
call: availability(mast=neubuerg, v.set=1, dir.set=1, subset=c("2010-01-01 00:10:00", "NA"), digits=1, print=TRUE)
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set40 86 206 239.5
number of daily samples:
set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 78.8 0 0 0 0 0 76 144 143 135 143 129 135 144 143 142 144
2009-06 92.9 143 135 110 144 144 140 128 72 90 111 128 140 131 141 139 143
2009-07 88.0 143 144 143 98 109 91 142 144 144 143 136 117 132 113 98 101
2009-08 86.0 143 126 131 124 122 144 138 124 95 108 77 108 96 119 143 144
2009-09 95.9 142 126 135 132 106 133 144 144 142 136 144 144 109 144 144 144
2009-10 95.0 142 116 129 144 144 124 144 144 144 142 144 142 142 144 140 144
2009-11 40.4 143 120 118 136 105 97 144 144 144 144 133 115 144 60 0 0
2009-12 94.9 137 144 143 143 131 144 144 144 144 144 139 144 144 144 143 144
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 125 119 133 138 144 144 136 124 125 144 144 139 144 137 144
2009-06 119 144 144 144 144 144 144 144 144 138 135 144 144 144
2009-07 105 130 141 137 95 106 124 144 144 144 127 114 136 144 140
2009-08 143 130 105 104 131 144 127 136 112 88 117 144 144 129 144
2009-09 144 144 144 144 141 144 136 141 133 144 144 144 137 134
2009-10 142 136 144 135 126 130 117 142 144 122 144 144 113 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 137 144 121 142 144 144 144 144 144 129 144 134 125 70 93
call: availability(mast=neubuerg, v.set=1, dir.set=1, subset=c("NA", "2009-12-31 23:50:00"), digits=1, print=TRUE)
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set40 86 233 271
set30 85 230 271
number of daily samples:
set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
2009-05 79 0 0 0 0 0 76 144 143 135 143 129 135 144 143 142 144 125
2009-06 93 143 135 110 144 144 140 128 72 90 111 128 140 131 141 139 143 119
2009-07 88 143 144 143 98 109 91 142 144 144 143 136 117 132 113 98 101 105
2009-08 86 143 126 131 124 122 144 138 124 95 108 77 108 96 119 143 144 143
2009-09 96 142 126 135 132 106 133 144 144 142 136 144 144 109 144 144 144 144
2009-10 95 142 116 129 144 144 124 144 144 144 142 144 142 142 144 140 144 142
2009-11 40 143 120 118 136 105 97 144 144 144 144 133 115 144 60 0 0 0
2009-12 95 137 144 143 143 131 144 144 144 144 144 139 144 144 144 143 144 137
2010-01 88 97 128 144 94 101 141 144 144 120 136 143 137 109 129 143 143 97
18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 119 133 138 144 144 136 124 125 144 144 139 144 137 144
2009-06 144 144 144 144 144 144 144 144 138 135 144 144 144
2009-07 130 141 137 95 106 124 144 144 144 127 114 136 144 140
2009-08 130 105 104 131 144 127 136 112 88 117 144 144 129 144
2009-09 144 144 144 141 144 136 141 133 144 144 144 137 134
2009-10 136 144 135 126 130 117 142 144 122 144 144 113 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 144 121 142 144 144 144 144 144 129 144 134 125 70 93
2010-01 109 144 142 135 88 140 141 127 122 114 144 144 102 138
set30
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
2009-05 78 0 0 0 0 0 76 144 142 131 141 127 132 144 143 140 144 122
2009-06 93 143 138 102 144 144 137 128 78 93 110 127 138 129 140 132 144 119
2009-07 86 143 144 142 91 105 82 140 144 144 142 134 111 121 107 97 96 105
2009-08 84 143 116 124 120 121 144 137 123 90 98 72 105 94 118 138 142 143
2009-09 94 141 122 135 130 92 125 144 144 139 136 144 144 103 144 142 144 144
2009-10 94 141 105 117 144 144 122 144 144 143 134 144 140 143 144 136 144 137
2009-11 40 142 120 122 129 97 92 143 144 144 144 131 117 144 60 0 0 0
2009-12 94 137 144 142 143 125 144 144 144 144 144 139 144 144 144 144 144 141
2010-01 88 92 131 144 89 91 136 144 144 126 136 144 139 108 125 144 143 110
18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 111 124 138 144 144 137 127 124 144 144 137 143 131 144
2009-06 144 144 144 144 144 144 144 144 137 133 143 144 144
2009-07 124 137 134 93 108 118 144 144 144 122 107 133 144 139
2009-08 126 103 104 130 144 124 136 105 81 112 144 144 128 144
2009-09 144 144 144 137 142 134 133 128 144 144 144 133 126
2009-10 135 144 132 126 125 115 139 144 118 144 144 112 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 144 108 141 144 144 144 144 144 126 144 129 116 71 94
2010-01 109 144 143 139 89 144 142 121 131 121 144 143 88 132
call: availability(mast=neubuerg, v.set="all", dir.set="all", subset=NA, digits=0, print=TRUE)
Availability for pairs of wind speed and direction
availability effective period total period
[%] [d] [d]
set40 86.3 233.4 270.5
set30 85.2 230.5 270.5
number of daily samples:
set40
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 78.8 0 0 0 0 0 76 144 143 135 143 129 135 144 143 142 144
2009-06 92.9 143 135 110 144 144 140 128 72 90 111 128 140 131 141 139 143
2009-07 88.0 143 144 143 98 109 91 142 144 144 143 136 117 132 113 98 101
2009-08 86.0 143 126 131 124 122 144 138 124 95 108 77 108 96 119 143 144
2009-09 95.9 142 126 135 132 106 133 144 144 142 136 144 144 109 144 144 144
2009-10 95.0 142 116 129 144 144 124 144 144 144 142 144 142 142 144 140 144
2009-11 40.4 143 120 118 136 105 97 144 144 144 144 133 115 144 60 0 0
2009-12 94.9 137 144 143 143 131 144 144 144 144 144 139 144 144 144 143 144
2010-01 88.3 97 128 144 94 101 141 144 144 120 136 143 137 109 129 143 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 125 119 133 138 144 144 136 124 125 144 144 139 144 137 144
2009-06 119 144 144 144 144 144 144 144 144 138 135 144 144 144
2009-07 105 130 141 137 95 106 124 144 144 144 127 114 136 144 140
2009-08 143 130 105 104 131 144 127 136 112 88 117 144 144 129 144
2009-09 144 144 144 144 141 144 136 141 133 144 144 144 137 134
2009-10 142 136 144 135 126 130 117 142 144 122 144 144 113 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 137 144 121 142 144 144 144 144 144 129 144 134 125 70 93
2010-01 97 109 144 142 135 88 140 141 127 122 114 144 144 102 138
set30
% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
2009-05 77.9 0 0 0 0 0 76 144 142 131 141 127 132 144 143 140 144
2009-06 92.6 143 138 102 144 144 137 128 78 93 110 127 138 129 140 132 144
2009-07 86.0 143 144 142 91 105 82 140 144 144 142 134 111 121 107 97 96
2009-08 84.1 143 116 124 120 121 144 137 123 90 98 72 105 94 118 138 142
2009-09 94.2 141 122 135 130 92 125 144 144 139 136 144 144 103 144 142 144
2009-10 93.6 141 105 117 144 144 122 144 144 143 134 144 140 143 144 136 144
2009-11 40.0 142 120 122 129 97 92 143 144 144 144 131 117 144 60 0 0
2009-12 94.2 137 144 142 143 125 144 144 144 144 144 139 144 144 144 144 144
2010-01 88.2 92 131 144 89 91 136 144 144 126 136 144 139 108 125 144 143
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
2009-05 122 111 124 138 144 144 137 127 124 144 144 137 143 131 144
2009-06 119 144 144 144 144 144 144 144 144 137 133 143 144 144
2009-07 105 124 137 134 93 108 118 144 144 144 122 107 133 144 139
2009-08 143 126 103 104 130 144 124 136 105 81 112 144 144 128 144
2009-09 144 144 144 144 137 142 134 133 128 144 144 144 133 126
2009-10 137 135 144 132 126 125 115 139 144 118 144 144 112 137 138
2009-11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2009-12 141 144 108 141 144 144 144 144 144 126 144 129 116 71 94
2010-01 110 109 144 143 139 89 144 142 121 131 121 144 143 88 132
call: availability(mast=neubuerg, v.set="all", dir.set="all", subset=NA, digits=1, print=FALSE)
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