Merge pull request #15 from JFeldbauer/master

added run scripts

LakeErken/run_lakeensemblr.R

@@ -0,0 +1,27 @@
+#initial clean up
+rm(list = ls())
+graphics.off()
+cat("\f")
+
+# set working directory
+setwd(dirname(rstudioapi::getSourceEditorContext()$path))
+
+# load library
+library(LakeEnsemblR)
+
+# Set config file
+config_file <- "LER_Erken_hourly.yaml"
+model <- c("FLake", "GLM", "GOTM", "Simstrat", "MyLake")
+# 1. Example - creates directories with all model setup
+export_config(config_file = config_file, model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+              folder = ".")
+# 2. Run ensemble lake models
+run_ensemble(config_file = config_file,
+             model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+             return_list = FALSE, parallel = FALSE)
+
+
+# name of the netcdf output file
+ncdf <- "output/ensemble_output.nc"
+# plot heatmap
+plot_heatmap(ncdf)

LakeGiles/run_lakeensemblr.R

@@ -0,0 +1,27 @@
+#initial clean up
+rm(list = ls())
+graphics.off()
+cat("\f")
+
+# set working directory
+setwd(dirname(rstudioapi::getSourceEditorContext()$path))
+
+# load library
+library(LakeEnsemblR)
+
+# Set config file
+config_file <- "Giles_master_config.yaml"
+model <- c("FLake", "GLM", "GOTM", "Simstrat", "MyLake")
+# 1. Example - creates directories with all model setup
+export_config(config_file = config_file, model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+              folder = ".")
+# 2. Run ensemble lake models
+run_ensemble(config_file = config_file,
+             model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+             return_list = FALSE, parallel = FALSE)
+
+
+# path of the output netcdf file
+ncdf <- "output/ensemble_output.nc"
+# plot heatmap
+plot_heatmap(ncdf)

LakeMendota/run_lakeensemblr.R

@@ -0,0 +1,27 @@
+#initial clean up
+rm(list = ls())
+graphics.off()
+cat("\f")
+
+# set working directory
+setwd(dirname(rstudioapi::getSourceEditorContext()$path))
+
+# load library
+library(LakeEnsemblR)
+
+# Set config file
+config_file <- "LakeEnsemblR.yaml"
+model <- c("FLake", "GLM", "GOTM", "Simstrat", "MyLake")
+# 1. Example - creates directories with all model setup
+export_config(config_file = config_file, model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+              folder = ".")
+# 2. Run ensemble lake models
+run_ensemble(config_file = config_file,
+             model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+             return_list = FALSE, parallel = FALSE)
+
+
+# path of the output netcdf file
+ncdf <- "output/ensemble_output.nc"
+# plot heatmap
+plot_heatmap(ncdf)

Langtjern/run_lakeensemblr.R

@@ -0,0 +1,27 @@
+#initial clean up
+rm(list = ls())
+graphics.off()
+cat("\f")
+
+# set working directory
+setwd(dirname(rstudioapi::getSourceEditorContext()$path))
+
+# load library
+library(LakeEnsemblR)
+
+# Set config file
+config_file <- "LER_Langtjern_1hour.yaml"
+model <- c("FLake", "GLM", "GOTM", "Simstrat", "MyLake")
+# 1. Example - creates directories with all model setup
+export_config(config_file = config_file, model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+              folder = ".")
+# 2. Run ensemble lake models
+run_ensemble(config_file = config_file,
+             model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+             return_list = FALSE, parallel = FALSE)
+
+
+# path of the output netcdf file
+ncdf <- "output/ensemble_output.nc"
+# plot heatmap
+plot_heatmap(ncdf)

LoughFeeagh/LakeEnsemblR.yaml

@@ -34,7 +34,7 @@ inflows:
    use: false                                   # use in- and outflows? [true/false]
    file: LakeEnsemblR_inflow_standard_round.csv # file with inflow data, with column headers according to LakeEnsemblR vocabulary [csv file; must be provided if inflows -> use is true]
    scale_param: 1.0                             # scaling factor for discharge in inflow, for example to correct for the percentage of catchment area drained by the inflow
-   mass-balance: true                           # enforce pseudo mass-balance by adding an artifical outflow for every inflow [true/false]
+   mass-balance: false                           # enforce pseudo mass-balance by adding an artifical outflow for every inflow [true/false]
 output:
    file: ensemble_output                        # name of output file, excluding extension
    format: netcdf                               # format [text/netcdf]

LoughFeeagh/run_lakeensemblr.R

@@ -0,0 +1,26 @@
+#initial clean up
+rm(list = ls())
+graphics.off()
+cat("\f")
+
+# set working directory
+setwd(dirname(rstudioapi::getSourceEditorContext()$path))
+
+# load library
+library(LakeEnsemblR)
+
+# Set config file
+config_file <- "LakeEnsemblR.yaml"
+model <- c("FLake", "GLM", "GOTM", "Simstrat", "MyLake")
+# 1. Example - creates directories with all model setup
+export_config(config_file = config_file, model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+              folder = ".")
+# 2. Run ensemble lake models
+run_ensemble(config_file = config_file,
+             model = c("FLake", "GLM", "GOTM", "Simstrat", "MyLake"),
+             return_list = FALSE, parallel = FALSE)
+
+# path of the output netcdf file
+ncdf <- "output/ensemble_output.nc"
+# plot heatmap
+plot_heatmap(ncdf)