Source code for ML_Utilities.normalise

# (C) British Crown Copyright 2019, Met Office
#
# This code is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This code is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Lesser General Public License for more details.
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# Provide default normalisation functions for some 20CR data.

[docs]def get_normalise_function(source='20CR2c',variable='prmsl'): """Provide a normalisation function to scale a 20CR data field to mean=0 sd=1 (approximately). Args: source (:obj:`str`): Where to get the data from - at the moment, only '20CR2c' is supported . variable (:obj:`str`): Variable to use (e.g. 'prmsl') Returns: function which, when called with a numpy array as its argument, returns a normalised version of that array. Raises: ValueError: Unsupported source or variable. | """ if source=='20CR2c': if variable=='prmsl': def normalise(x): x -= 101325 x /= 3000 return x elif variable=='air.2m': def normalise(x): x -= 280 x /= 50 return x else: raise ValueError("Don't know how to normalise %s" % variable) else: raise ValueError("Don't know how to normalise data from %s" % source) return normalise
[docs]def get_unnormalise_function(source='20CR2c',variable='prmsl'): """Provide an unnormalisation function to scale a 20CR data field back to its original units from the normalised representation with mean=0 sd=1 (approximately). Args: source (:obj:`str`): Where to get the data from - at the moment, only '20CR2c' is supported . variable (:obj:`str`): Variable to use (e.g. 'prmsl') Returns: function which, when called with a (normalised) numpy array as its argument, returns an unnormalised version of that array. Raises: ValueError: Unsupported source or variable. | """ if source=='20CR2c': if variable=='prmsl': def unnormalise(x): x *= 3000 x += 101325 return x elif variable=='air.2m': def unnormalise(x): x *= 50 x += 280 return x else: raise ValueError("Don't know how to unnormalise %s" % variable) else: raise ValueError("Don't know how to unnormalise data from %s" % source) return unnormalise