The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
# Load HYPEtools Package
library(HYPEtools)
# Get Path to HYPEtools Model Example Files
model_path <- system.file("demo_model", package = "HYPEtools")
# List HYPE Model Example Files
list.files(model_path)
#> [1] "AquiferData_Example.txt" "ClassData.txt"
#> [3] "FloodData_Example.txt" "ForcKey.txt"
#> [5] "GeoClass.txt" "GeoData.txt"
#> [7] "Pobs.txt" "PointSourceData.txt"
#> [9] "Qobs.txt" "Tobs.txt"
#> [11] "Xobs.txt" "description.txt"
#> [13] "filedir.txt" "gis"
#> [15] "info.txt" "optpar.txt"
#> [17] "par.txt" "pmsf.txt"
#> [19] "results"
More information on the different types of HYPE model files can be found on the HYPE Wiki: http://hype.smhi.net/wiki/doku.php?id=start:hype_file_reference
# Import Files
gd <- ReadGeoData(file.path(model_path, "GeoData.txt"))
gc <- ReadGeoClass(file.path(model_path, "GeoClass.txt"))
#> 14 data columns in imported file.
# Some Import Checks
summary(gd)
#>
#> Columns, except 'SLC_n', 'SCR_n', and 'DHSLC_n':
#>
#> column name class | column name class | column name
#> 1 SUBID integer | 4 AREA numeric | 13 SLOPE_MEAN
#> 2 MAINDOWN integer | 5 PARREG integer | 14 ICATCH
#> 3 LAKEDATAID integer | 6 RIVLEN numeric | 15 LAKE_DEPTH
#> class
#> numeric
#> numeric
#> numeric
#>
#> mean median minimum maximum
#> Sub-basin area (km2): 13.8 11.1 0.0721 62.6
#> Unit river length (km/km2): 0.518 0.246 0.000807 3.63
#> ilake drainage area fraction (-): 0.301 0.3 0.3 0.319
#>
#> Number of sub-basins: 25
#> ID(s) of outlets in 'maindown': 3606
#> Number of SLC classes: 6
#> Number of SCR classes: 0
#> Number of DHSLC classes: 0
#> SLC columns: c(7:12)
str(gc)
#> 'data.frame': 6 obs. of 14 variables:
#> $ slc : int 1 2 3 4 5 6
#> $ landuse : int 1 1 3 2 2 3
#> $ soil : int 1 1 1 1 2 2
#> $ cropid1 : int 0 0 0 0 0 0
#> $ cropid2 : int 0 0 0 0 0 0
#> $ rotation : int 0 0 0 0 0 0
#> $ vegtype : int 1 1 1 1 1 1
#> $ special : int 1 2 0 0 0 0
#> $ tiledepth : int 0 0 0 0 0 0
#> $ streamdepth: num 0 0 0.6 1 1 0.75
#> $ nsoils : int 1 1 3 3 3 3
#> $ depth1 : num 10 10 0.25 0.25 0.25 0.25
#> $ depth2 : num NA NA 0.5 0.75 0.75 0.5
#> $ depth3 : num NA NA 0.75 1.5 1.5 1
#> - attr(*, "comment")= chr [1:3] "!Landuses: 1=Water; 2=Coniferous forest; 3=Agricultural land\t\t\t\t\t\t\t\t\t\t\t\t\t" "!Soils: 1=Fine soil; 2=Coarse soil\t\t\t\t\t\t\t\t\t\t\t\t\t" "!Combination\tLanduse\tSoil\tCropid-main\tCropid-2nd\tRotation\tVegetationstyp\tSpecial-class\tTile-depth\tDrai"| __truncated__
class(gd)
#> [1] "HypeGeoData" "data.frame"
# Import Discharge Observations
qobs <- ReadObs(file.path(model_path, "Qobs.txt"))
str(qobs)
#> 'data.frame': 365 obs. of 2 variables:
#> $ DATE : POSIXct, format: "2001-01-01" "2001-01-02" ...
#> $ X3587: num 5.09 5 5 5 5.01 ...
#> - attr(*, "obsid")= int 3587
#> - attr(*, "timestep")= chr "day"
#> - attr(*, "variable")= chr "rout"
# Get SUBIDs with observations from attribute
obsid(qobs)
#> [1] 3587
# Import Parameter File
par <- ReadPar(file.path(model_path, "par.txt"))
str(par)
#> List of 57
#> $ !! : chr "Parameter Values"
#> $ !! : num(0)
#> $ !! : chr "General"
#> $ cevpam : num 0.25
#> $ cevpph : num 67.5
#> $ damp : num 0.5
#> $ epotdist : num 3
#> $ gldepi : num 3.6
#> $ grata : num 0.6
#> $ gratk : num 0.283
#> $ gratp : num 2
#> $ lp : num 0.95
#> $ qmean : num 200
#> $ rcgrw : num 0
#> $ rivvel : num 1
#> $ rrcs3 : num 2e-04
#> $ sdnsnew : num 0.09
#> $ sdnsmax : num 0.5
#> $ sdnsrate : num 0.015
#> $ sdnsradd : num 0.026
#> $ tcalt : num 0.6
#> $ ttpi : num 3
#> $ pcelevth : num 500
#> $ pcelevadd: num 0.04
#> $ pcelevmax: num 0.04
#> $ !! : num(0)
#> $ !! : chr "Landuses 1=Water 2=Coniferous forest 3=Agricultural land"
#> $ cevp : num [1:3] 0.175 0.22 0.215
#> $ cmlt : num [1:3] 2.8 1.9 3.5
#> $ frost : num [1:3] 2 2 2
#> $ srrcs : num [1:3] 0.4 0.2 0.3
#> $ ttmp : num [1:3] 0.2 0.3 0.2
#> $ !! : num(0)
#> $ !! : chr "Soils 1=Fine soil 2=Coarse soil"
#> $ mperc1 : num [1:2] 20 25
#> $ mperc2 : num [1:2] 20 25
#> $ rrcs1 : num [1:2] 0.6 0.1
#> $ rrcs2 : num [1:2] 0.04 0.03
#> $ sfrost : num [1:2] 1 1
#> $ srrate : num [1:2] 0.05 0.025
#> $ trrcs : num [1:2] 0.3 0.15
#> $ wcep1 : num [1:2] 0.01 0.07
#> $ wcep2 : num [1:2] 0.01 0.0595
#> $ wcep3 : num [1:2] 0.01 0.049
#> $ wcfc1 : num [1:2] 0.15 0.15
#> $ wcfc2 : num [1:2] 0.15 0.15
#> $ wcfc3 : num [1:2] 0.15 0.15
#> $ wcwp1 : num [1:2] 0.15 0.05
#> $ wcwp2 : num [1:2] 0.15 0.05
#> $ wcwp3 : num [1:2] 0.15 0.05
#> $ !! : num(0)
#> $ !! : chr "PARREG 1"
#> $ preccorr : num -0.24
#> $ cevpcorr : num -0.29
#> $ tempcorr : num -0.4
#> $ ratcorr : num -0.813
#> $ rrcscorr : num -0.79
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.