mo_mrm_objective_function_runoff.F90 File Reference

Objective Functions for Optimization of mHM/mRM against runoff. More...

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Modules
module	mo_mrm_objective_function_runoff
	Objective Functions for Optimization of mHM/mRM against runoff.

Functions/Subroutines
real(dp) function, public	mo_mrm_objective_function_runoff::single_objective_runoff (parameterset, eval, arg1, arg2, arg3)
	Wrapper for objective functions optimizing agains runoff.
real(dp) function, public	mo_mrm_objective_function_runoff::single_objective_runoff_master (parameterset, eval, arg1, arg2, arg3)
	Wrapper for objective functions optimizing agains runoff.
subroutine, public	mo_mrm_objective_function_runoff::single_objective_runoff_subprocess (eval, arg1, arg2, arg3)
	Wrapper for objective functions optimizing agains runoff.
subroutine, public	mo_mrm_objective_function_runoff::multi_objective_runoff (parameterset, eval, multi_objectives)
	Wrapper for multi-objective functions where at least one is regarding runoff.
real(dp) function	mo_mrm_objective_function_runoff::loglikelihood_stddev (parameterset, eval, stddev, stddev_new, likeli_new)
	Logarithmic likelihood function with removed linear trend and Lag(1)-autocorrelation.
real(dp) function	mo_mrm_objective_function_runoff::loglikelihood_evin2013_2 (parameterset, eval, regularize)
	Logarithmised likelihood with linear error model and lag(1)-autocorrelation of the relative errors.
real(dp) function	mo_mrm_objective_function_runoff::parameter_regularization (paraset, prior, bounds, mask)
	TODO: add description.
real(dp) function	mo_mrm_objective_function_runoff::loglikelihood_trend_no_autocorr (parameterset, eval, stddev_old, stddev_new, likeli_new)
	Logarithmic likelihood function with linear trend removed.
real(dp) function	mo_mrm_objective_function_runoff::objective_lnnse (parameterset, eval)
	Objective function of logarithmic NSE.
real(dp) function	mo_mrm_objective_function_runoff::objective_sse (parameterset, eval)
	Objective function of SSE.
real(dp) function	mo_mrm_objective_function_runoff::objective_nse (parameterset, eval)
	Objective function of NSE.
real(dp) function	mo_mrm_objective_function_runoff::objective_equal_nse_lnnse (parameterset, eval)
	Objective function equally weighting NSE and lnNSE.
real(dp) function, dimension(2)	mo_mrm_objective_function_runoff::multi_objective_nse_lnnse (parameterset, eval)
	Multi-objective function with NSE and lnNSE.
real(dp) function, dimension(2)	mo_mrm_objective_function_runoff::multi_objective_lnnse_highflow_lnnse_lowflow (parameterset, eval)
	Multi-objective function with NSE and lnNSE.
real(dp) function, dimension(2)	mo_mrm_objective_function_runoff::multi_objective_lnnse_highflow_lnnse_lowflow_2 (parameterset, eval)
	Multi-objective function with NSE and lnNSE.
real(dp) function, dimension(2)	mo_mrm_objective_function_runoff::multi_objective_ae_fdc_lsv_nse_djf (parameterset, eval)
	Multi-objective function with absolute error of Flow Duration Curves low-segment volume and nse of DJF's discharge.
real(dp) function	mo_mrm_objective_function_runoff::objective_power6_nse_lnnse (parameterset, eval)
	Objective function of combined NSE and lnNSE with power of 5 i.e.
real(dp) function	mo_mrm_objective_function_runoff::objective_kge (parameterset, eval)
	Objective function of KGE.
real(dp) function	mo_mrm_objective_function_runoff::objective_multiple_gauges_kge_power6 (parameterset, eval)
	combined objective function based on KGE raised to the power 6
real(dp) function	mo_mrm_objective_function_runoff::objective_weighted_nse (parameterset, eval)
	Objective function of weighted NSE.
real(dp) function	mo_mrm_objective_function_runoff::objective_sse_boxcox (parameterset, eval)
	Objective function of sum of squared errors of transformed streamflow.
subroutine, public	mo_mrm_objective_function_runoff::extract_runoff (gaugeid, runoff, runoff_agg, runoff_obs, runoff_obs_mask)
	extracts runoff data from global variables

Detailed Description

Objective Functions for Optimization of mHM/mRM against runoff.

This module provides a wrapper for several objective functions used to optimize mRM/mHM against runoff.

If the objective contains besides runoff another variable like TWS move it to mHM/mo_objective_function.f90. If it is only regarding runoff implement it here.

All the objective functions are supposed to be minimized!

1. SO: Q: 1.0 - NSE
2. SO: Q: 1.0 - lnNSE
3. SO: Q: 1.0 - 0.5*(NSE+lnNSE)
4. SO: Q: -1.0 * loglikelihood with trend removed from absolute errors and then lag(1)-autocorrelation removed
5. SO: Q: ((1-NSE)**6+(1-lnNSE)**6)**(1/6)
6. SO: Q: SSE
7. SO: Q: -1.0 * loglikelihood with trend removed from absolute errors
8. SO: Q: -1.0 * loglikelihood with trend removed from the relative errors and then lag(1)-autocorrelation removed
9. SO: Q: 1.0 - KGE (Kling-Gupta efficiency measure)
10. SO: Q: sum[((1.0-KGE_i)/ nGauges)**6]**(1/6) > combination of KGE of every gauging station based on a power-6 norm
11. MO: Q: 1st objective: 1.0 - NSE Q: 2nd objective: 1.0 - lnNSE
12. MO: Q: 1st objective: 1.0 - lnNSE(Q_highflow) (95% percentile) Q: 2nd objective: 1.0 - lnNSE(Q_lowflow) (5% of data range)
13. MO: Q: 1st objective: 1.0 - lnNSE(Q_highflow) (non-low flow) Q: 2nd objective: 1.0 - lnNSE(Q_lowflow) (5% of data range)eshold for Q
14. MO: Q: 1st objective: absolute difference in FDC's low-segment volume Q: 2nd objective: 1.0 - NSE of discharge of months DJF
15. SO: Q: 1.0 - wNSE - weighted NSE
16. SO: Q: SSE of boxcox-transformed streamflow

    Changelog

• Stephan Thober Oct 2015
  • adapted for mRM
• Juliane Mai Nov 2015
  • introducing multi
  • and single-objective
  • first multi-objective function (16), but not used yet
• Juliane Mai Feb 2016
  • multi-objective function (18) using lnNSE(highflows) and lnNSE(lowflows)
  • multi-objective function (19) using lnNSE(highflows) and lnNSE(lowflows)
  • multi-objective function (20) using FDC and discharge of months DJF
• Stephan Thober,Bjoern Guse May 2018
  • single objective function (21) using weighted NSE following (Hundecha and Bardossy, 2004)
• Robert Schweppe Jun 2018
  • refactoring and reformatting
• Stephan Thober Aug 2019
  • added OF 32: SSE of boxcox-transformed streamflow

    Authors

    Juliane Mai

    Date

    Dec 2012

    Copyright

    Copyright 2005-2025 , the mHM Developers, Luis Samaniego, Sabine Attinger: All rights reserved. mHM is released under the LGPLv3+ license
    
    
    The UFZ(CHS) mesoscale hydrologic model mHM 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 mesoscale hydrologic model mHM. 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/.

    
    

Definition in file mo_mrm_objective_function_runoff.F90.