rvn_forcings_read is used to read in the ForcingFunctions.csv file produced by the modelling Framework Raven.
rvn_forcings_read(ff = NA, tzone = "UTC")full file path to the ForcingFunctions.csv file
string indicating the timezone of the data in ff
data frame from the file with standardized names
vector corresponding to units of each column
Expects a full file path to the ForcingFunctions.csv file, then reads in the file using read.csv. The main advantage of this functon is renaming the columns to nicer names and extracting the units into something much easier to read.
ff is the full file path of the ForcingFunctions.csv file. If the file is located in the current working directory, then simply the name of the file is sufficient.
The timezone is provided by the tzone argument as "UTC" by default, and should be adjusted by the user to the local time zone as needed, based on the model run.
rvn_hyd_read for reading in the Hydrographs.csv file
# read in sample forcings data
ff <- system.file("extdata","run1_ForcingFunctions.csv", package="RavenR")
myforcings <- rvn_forcings_read(ff)
# check data (first 5 columns for brevity)
head(myforcings$forcings[,1:5])
#> day_angle rain snow temp temp_daily_min
#> 2002-10-01 4.70809 3.468690 0 22.5956 17.92510
#> 2002-10-02 4.70809 3.468690 0 22.5956 17.92510
#> 2002-10-03 4.72530 1.189180 0 19.2076 15.40780
#> 2002-10-04 4.74251 2.083260 0 13.3714 11.49870
#> 2002-10-05 4.75973 6.474310 0 19.0304 12.50970
#> 2002-10-06 4.77694 0.125591 0 11.0186 7.43466
summary(myforcings$forcings[,1:5])
#> Index day_angle rain
#> Min. :2002-10-01 00:00:00 Min. :0.008584 Min. : 0.000
#> 1st Qu.:2003-04-01 12:00:00 1st Qu.:1.572950 1st Qu.: 0.000
#> Median :2003-10-01 00:00:00 Median :3.141590 Median : 0.000
#> Mean :2003-10-01 00:00:00 Mean :3.141338 Mean : 1.776
#> 3rd Qu.:2004-03-31 12:00:00 3rd Qu.:4.708090 3rd Qu.: 1.247
#> Max. :2004-09-30 00:00:00 Max. :6.274580 Max. :34.788
#> snow temp temp_daily_min
#> Min. :0.00000 Min. :-21.627 Min. :-31.271
#> 1st Qu.:0.00000 1st Qu.: -1.721 1st Qu.: -5.142
#> Median :0.00000 Median : 7.114 Median : 3.054
#> Mean :0.29746 Mean : 6.555 Mean : 1.785
#> 3rd Qu.:0.03083 3rd Qu.: 16.123 3rd Qu.: 10.687
#> Max. :8.62851 Max. : 25.294 Max. : 21.104