Multi-Objective Calibration of ibis Model by Genetic Algorithm with Parametric Sensitivity Analysis

Amarísio da Silva Araújo, Haroldo de Campos Velho, Lu Minjiao

Abstract


Atmospheric circulation models combine different modules for a good description of the atmospheric dynamics. One of these modules is the representation of surface coverage, since the dynamics depends on the interaction between the atmosphere and the surface of the planet. However, these modules depend on a number of parameters that need to be adjusted. The parameter adjustment process is called model calibration. In this study, the IBIS (Integrated Biosphere Simulator) model is calibrated following a multi-objective strategy. The Pareto set, which embraces the non-dominated solutions in the search space of objective functions, is determined by a version of multi-objective genetic algorithm (NSGA-II). The model sensitivity to the parameters is evaluated by the Morris’ method. Synthetic data for calibration were obtained from the Tapajós National Forest (FloNa Tapajós), located near to the 67 km from Santarém-Cuiabá highway (2,51S, 54,58W).


Keywords


Multi-objective calibration. IBIS model. Morris’ method. NSGA-II. FloNa Tapajós.

Full Text:

PDF

References


Araújo, A. S., Campos Velho, H. F., Gomes, V. C. F. (2013): Calibrating an hydrological model by an evolutionary strategy for multi-objective optimization. Inverse Problems in Science & Engineering, 21, 438-450.

Araújo, A. S. (2014): Multi-objective calibration of hydrologic and atmospheric surface models. Ph.D. thesis on Applied Computing. São José dos Campos (SP), Brazil (in Portuguese).

Beck, J. V., Blackwell, B., Clair Jr., C. R. St. (1985): Inverse Heat Conduction: Ill-Posed Problems. Wiley-Interscience.

Coello, C. A., Lamont, G. B., Van Veldhuisen, D. A. (2007). Evolutionary Algorithms for Solving Multi-Objective Problems. Springer.

Hwang, C-L, Masud, A. S. M. (1979): Multiple objective decision making, methods and applications: a state-of-the-art survey. Springer-Verlag.

Deb, K., Pratap, A., Agarwal, S., Meyarivan, T. (2000): A fast elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182–197.

Deb, K. (2009): Multi-objective optimization using evolutionary algorithms. John Wiley & Sons.

Foley, J. Prentice, I. C., Ramankutty, N., Levis, S., Pollard, D., Sitch, S., Haxeltine, A. (1996): An integrated biosphere model of land surfaceprocesses, terrestrial carbon balance, and vegetation dynamics. Global Biogeochemical Cycles, 10(4), 603–628.

Kucharik, C. J., Foley, J. A., Delire, C., Fischer, V. A., Coe, M. T., Lenters, J. D., Young-Molling, C., Ramankutta, N., Norman, J. M., Gower, S. T. (2000): Testing the performance of a dynamic global ecosystem model: water balance, carbon balance, and vegetation structure. Global Biogeochem. Cycles, 14(3), 795–825.

Miettinen, K. (1999). Nonlinear Multiobjective Optimization. Springer.

Minjiao, L., Xiao, L. (2014): Time scale dependent sensitivities of the XinAnJiang model parameters. Hydrological Research Letters, 8(1), 51–56.

Morris, M. D. (1991): Factorial sampling plans for preliminary computational experiments. Technometrics (American Society for Quality Control and American Statistical Association, 33(2), 161–174.

Srinivas, N., Deb, K. (1994): Multi-objective optimization using non-dominated sorting in genetic algorithms. Evolutionary Computation, 2(3), 221–248.

Varejão, C. M., Costa, M. H., Camargos, C. C. S. (2013): A multi-objective hierarchical calibration procedure for land surface-ecosystem models. Inverse Problems in Science and Engineering, 21(3), 357–386.




DOI: https://doi.org/10.5902/2179460X20095

Copyright (c) 2016



Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

DEAR AUTHORS,

PLEASE, CHECK CAREFULLY BEFORE YOUR SUBMISSION:

1. IF ALL AUTHORS "METADATA" (ORCID, LINK TO LATTES, SHORT BIOGRAPHY, AFFILIATION) WERE ADDED,

2. THE CORRECT IDIOM YOUR SECTION,

3 IF THE HIGHLIGHTS WERE ADDED,

4. IF THE GRAPHIC ABSTRACTS WAS ADDED,

5. IF THE REVIEWERS INDICATION WAS DONE,

6. IF THE REFERENCES FORMAT ARE CORRECT(ABNT)

7. IF THE RESOLUTION YOUR FIGURES (600 DPI) ARE SUITABLE

8.  IF THE STATEMENT BY THE ETHICS COMMITTEE (IF IT INVOLVES HUMANS) WAS ADDED;

9. IF THE DECLARATION OF ORIGINALITY WAS ADDED.

10. IF THE TEXT IS ORIGINAL. IF THE IDEA HAS ALREADY BEEN REGISTERED IN SUMMARY FORM, OR PUBLISHED IN CONGRESS ANNUALS, PLEASE INFORM THE EDITOR.