0546886 - ÚVGZ 2022 RIV GB eng J - Článek v odborném periodiku
Wallach, D. - Palosuo, T. - Thorburn, P. - Hochman, Z. - Gourdain, E. - Andrianasolo, F. - Asseng, S. - Basso, B. - Buis, S. - Crout, N. - Dibari, C. - Dumont, B. - Ferrise, R. - Gaiser, T. - Garcia, C. - Gayler, S. - Ghahramani, A. - Hiremath, S. - Hoek, S. - Horan, H. - Hoogenboom, G. - Huang, M. - Jabloun, M. - Jansson, P.-E. - Jing, Q. - Justes, E. - Kersebaum, Kurt Christian - Klosterhalfen, A. - Launay, M. - Lewan, E. - Luo, Q. - Maestrini, B. - Mielenz, H. - Moriondo, M. - Zadeh, H. N. - Padovan, G. - Olesen, J. E. - Poyda, A. - Priesack, E. - Pullens, J. W. M. - Qian, B. - Schuetze, N. - Shelia, V. - Souissi, A. - Specka, X. - Srivastava, A. K. - Stella, T. - Streck, T. - Trombi, G. - Wallor, E. - Wang, J. - Weber, T. K.D. - Weihermueller, L. - de Wit, A. - Woehling, T. - Xiao, L. - Zhao, C. - Zhu, Y. - Seidel, S. J.
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise.
Environmental Modelling & Software. Roč. 145, NOV (2021), č. článku 105206. ISSN 1364-8152. E-ISSN 1873-6726
Grant CEP: GA MŠMT(CZ) EF16_019/0000797
Výzkumná infrastruktura: CzeCOS III - 90123
Institucionální podpora: RVO:86652079
Klíčová slova: multiobjective calibration * parameterization * uncertainty * systems * identifiability * coefficients * simulation * phenology * software * gencalc * Calibration recommendations * Process-based models * Parameter estimation * Phenology
Obor OECD: Environmental sciences (social aspects to be 5.7)
Impakt faktor: 5.471, rok: 2021 ; AIS: 1.201, rok: 2021
Způsob publikování: Omezený přístup
Web výsledku:
https://www.sciencedirect.com/science/article/pii/S1364815221002486?via%3DihubDOI: https://doi.org/10.1016/j.envsoft.2021.105206

Calibration, the estimation of model parameters based on fitting the model to experimental data, is among the first steps in many applications of process-based models and has an important impact on simulated values. We propose a novel method of developing guidelines for calibration of process-based models, based on development of recommendations for calibration of the phenology component of crop models. The approach was based on a multi-model study, where all teams were provided with the same data and asked to return simulations for the same conditions. All teams were asked to document in detail their calibration approach, including choices with respect to criteria for best parameters, choice of parameters to estimate and software. Based on an analysis of the advantages and disadvantages of the various choices, we propose calibration recommendations that cover a comprehensive list of decisions and that are based on actual practices.
Trvalý link: http://hdl.handle.net/11104/0323271