mo_standard_score Module Reference

Routines for calculating the normalization (anomaly)/standard score/z score and the deseasonalized (standard score on monthly basis) values of a time series. More...

Data Types
interface	classified_standard_score
	Calculates the classified standard score (e.g. classes are months). More...
interface	standard_score
	Calculates the standard score / normalization (anomaly) / z-score. More...

Functions/Subroutines
real(sp) function, dimension(size(data, dim=1))	standard_score_sp (data, mask)
real(dp) function, dimension(size(data, dim=1))	standard_score_dp (data, mask)
real(sp) function, dimension(size(data, dim=1))	classified_standard_score_sp (data, classes, mask)
real(dp) function, dimension(size(data, dim=1))	classified_standard_score_dp (data, classes, mask)

Detailed Description

Routines for calculating the normalization (anomaly)/standard score/z score and the deseasonalized (standard score on monthly basis) values of a time series.

In environmental research often the centralization and standardization are estimated for characterizing the dynamics of a signal.

Author

Matthias Zink

Date

May 2015

Copyright

Copyright 2005-2024, the CHS Developers, Sabine Attinger: All rights reserved. FORCES is released under the LGPLv3+ license

The UFZ (CHS) FORCES code is free software. You can redistribute it and/or modify it under the terms of the GNU General Public License as published by the free Software Foundation either version 3 of the License, or (at your option) any later version.

This program 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 General Public License for more details.

You received a copy of the GNU Lesser General Public License along with the UFZ CHS FORCES code. It can be found in the files COPYING and COPYING.LESSER provided with this software. The complete GNU license text can also be found at http://www.gnu.org/licenses/.

Function/Subroutine Documentation

classified_standard_score_dp()

real(dp) function, dimension(size(data, dim = 1)) mo_standard_score::classified_standard_score_dp ( real(dp), dimension(:), intent(in)  data, integer, dimension(:), intent(in)  classes, logical, dimension(:), intent(in), optional  mask  )

private

Definition at line 295 of file mo_standard_score.f90.

classified_standard_score_sp()

real(sp) function, dimension(size(data, dim = 1)) mo_standard_score::classified_standard_score_sp ( real(sp), dimension(:), intent(in)  data, integer, dimension(:), intent(in)  classes, logical, dimension(:), intent(in), optional  mask  )

private

Definition at line 237 of file mo_standard_score.f90.

standard_score_dp()

real(dp) function, dimension(size(data, dim = 1)) mo_standard_score::standard_score_dp ( real(dp), dimension(:), intent(in)  data, logical, dimension(:), intent(in), optional  mask  )

private

Definition at line 207 of file mo_standard_score.f90.

standard_score_sp()

real(sp) function, dimension(size(data, dim = 1)) mo_standard_score::standard_score_sp ( real(sp), dimension(:), intent(in)  data, logical, dimension(:), intent(in), optional  mask  )

private

Definition at line 178 of file mo_standard_score.f90.