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characterize.emp.dist()
|
Characterize empirical distributions |
|
coord_array()
|
Convert lat/lon coordinates to a coordinate array |
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extract_box()
|
Create an operator to extract grid cells from a field by latitude and
longitude. |
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fld2df() fldts2df()
|
Reorganize a spatial field into a data frame |
|
fldgen-package
|
Climate variable field generator with internal variability and spatial, temporal, and inter-variable correlation |
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generate.TP.fullgrids()
|
Using a trained emulator, generate new full fields. |
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generate.TP.resids()
|
Using a trained emulator, generate new fields of residuals. |
|
mkcorrts()
|
Make time series with specified autocorrelation properties |
|
normalize.resids()
|
Normalize residuals |
|
read.general()
|
Read ESM netCDF data for arbitrary variables |
|
read.precipitations()
|
Read ESM precipitation data |
|
read.temperatures()
|
Read ESM temperature data |
|
readtgav()
|
Read and format global mean temperature |
|
reconst_fields()
|
Reconstitute temperature fields |
|
loadmodel() savemodel()
|
Load and save emulator training data |
|
train()
|
Train the emulator on a set of input ESM data. |
|
trainTP()
|
Train the emulator on a set of input ESM temperature and precipitation data. |
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unnormalize.resids()
|
unNormalize residuals |
|
write.temperature()
|
Write a temperature field as a netcdf file. |