This function creates a "modelinput" list (written into a
file). That file can then be used to have all the relevant CMIP5 model
information available for "models2wux". The input for this function is
the directory where
CMIP5fromESGF saves all the data. It is
crucial for this funcion that the data is saved in the same directory
strucure as created by "CMIP5fromESGF" (GCMname/RCP) . This function
works for CMIP5 data on monthly basis only and can currently process
only the parameters "air_temperature" and "precipitation_amount".
filedir: Direcotry where the CMIP5 data are being stored. It is crucial for this funcion that the data is saved in the same directory strucure as created by "CMIP5fromESGF". save.to: character. Filename to safe the modelinupt. verbose: boolean. For additional information printed on the screen.
Direcotry where the CMIP5 data are being stored.
It is crucial for this funcion that the data is
saved in the same directory strucure as created
character. Filename to safe the modelinupt.
boolean. For additional information printed on the screen.
This function is based on the data obtained by
CMIP5fromESGF. However, it is also possible to download the
data manually and run this function. The directory structure must look
like this: "GCMname/RCP" (e.g.
In the background a PYTHON script is executed. You can find the file
by typing the command
system.file("exec", "cmip5_to_wux_modeldict.py", package="wux")
This tools works on unix platforms only.
Thomas Mendlik firstname.lastname@example.org
Karl E. Taylor, Ronald J. Stouffer, and Gerald A. Meehl, 2012: An Overview of CMIP5 and the Experiment Design. Bull. Amer. Meteor. Soc., 93, 485-498. doi: http://dx.doi.org/10.1175/BAMS-D-11-00094.1
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## Not run: ## download temperature fields of two example GCMs (NorESM1-M and ## CanESM2) with the RCP 8.5 and the historical run ## into your temporary directory. This command will create a folder ## "CMIP5" in "~/tmp" with two subfolders for each model again with ## two subfolders for each experiment. CMIP5fromESGF(save.to = "~/tmp/CMIP5/", models = c("NorESM1-M", "CanESM2"), variables = c("tas"), experiments= c("historical", "rcp85")) ## create the corresponding modelinput list: CMIP5toModelinput(filedir = "~/tmp/CMIP5", save.to = "~/tmp/CMIP5_modelinput.R") ## End(Not run)