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Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM
fldgen 2.0: Climate variable field generator with internal variability and spatial, temporal, and inter-variable correlation.
The fldgen package provides functions to learn the spatial,
temporal, and inter-variable
correlation of the variability in an earth system model (ESM) and generate random
two-variable fields (e.g., temperature and precipitation) with
equivalent properties.
Installation
The easiest way to install fldgen is using install_github from the
devtools package.
This will get you the latest stable development version of the model.
If you wish to install a specific release, you can do so by specifying
the desired release as the ref argument to this function call.
Current and past releases are listed in the
release table at our
GitHub repository.
Example
The data used in this example are installed with the package. They
can be found in system.file('extdata', package='fldgen').
A more detailed example can be found in the tutorial vignette included
with the package.
vignette('tutorial2','fldgen')
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Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM
