FILE_DESCRIPTIONS

climpred.tutorial.FILE_DESCRIPTIONS = {'CESM-DP-SSS': 'hindcast decadal prediction ensemble of global mean SSS.', 'CESM-DP-SST': 'hindcast decadal prediction ensemble of global mean SSTs.', 'CESM-DP-SST-3D': 'hindcast decadal prediction ensemble of eastern Pacific SSTs.', 'CESM-LE': 'uninitialized ensemble of global mean SSTs.', 'ERSST': 'observations of global mean SSTs.', 'FOSI-SSS': 'reconstruction of global mean SSS.', 'FOSI-SST': 'reconstruction of global mean SSTs.', 'FOSI-SST-3D': 'reconstruction of eastern Pacific SSTs', 'MPI-PM-DP-1D': 'perfect model decadal prediction ensemble area averages of SST/SSS/AMO.', 'MPI-PM-DP-3D': 'perfect model decadal prediction ensemble lat/lon/time of SST/SSS/AMO.', 'MPI-control-1D': 'area averages for the MPI control run of SST/SSS.', 'MPI-control-3D': 'lat/lon/time for the MPI control run of SST/SSS.', 'MPIESM_miklip_baseline1-assim-SST-global': 'assimilation in MPI-ESM of global mean SSTs', 'MPIESM_miklip_baseline1-hind-SST-global': 'hindcast initialized ensemble of global mean SSTs', 'MPIESM_miklip_baseline1-hist-SST-global': 'uninitialized ensemble of global mean SSTs'}

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)