Description Usage Arguments References Examples
CI performs several steps. For the GCM input it calculates daily climate anomalies from a given calibration period (default 1951-2005). These daily GCM anomalies are interpolated to the high-resolution observational grid. These interpolated daily anomalies constitute the "Climate Imprint". The high resolution gridded observations are then grouped into months and a climatology is calculated for each month. Finally the observed climatology is added to the GCM-based climate imprint and the final result is saved to output.file.
1 | ci.netcdf.wrapper(gcm.file, obs.file, output.file, varname = "tasmax")
|
gcm.file |
Filename of GCM simulations |
obs.file |
Filename of high-res gridded historical observations |
output.file |
Filename to create (or overwrite) with the climate imprint outputs |
varname |
Name of the NetCDF variable to downscale (e.g. 'tasmax') |
Hunter, R. D., & Meentemeyer, R. K. (2005). Climatologically aided mapping of daily precipitation and temperature. Journal of Applied Meteorology, 44(10), 1501-1510.
Ahmed, K. F., Wang, G., Silander, J., Wilson, A. M., Allen, J. M., Horton, R., & Anyah, R. (2013). Statistical downscaling and bias correction of climate model outputs for climate change impact assessment in the US northeast. Global and Planetary Change, 100, 320-332.
1 2 3 4 5 6 | ## Not run:
ci.nc <- tempfile(fileext='.nc')
ClimDown::ci.netcdf.wrapper('./tiny_gcm.nc', './tiny_obs.nc', ci.nc)
unlink(ci.nc)
## End(Not run)
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