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The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise
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SYSNO ASEP 0546886 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise Author(s) Wallach, D. (DE)
Palosuo, T. (FI)
Thorburn, P. (AU)
Hochman, Z. (AU)
Gourdain, E. (FR)
Andrianasolo, F. (FR)
Asseng, S. (US)
Basso, B. (US)
Buis, S. (FR)
Crout, N. (GB)
Dibari, C. (IT)
Dumont, B. (BE)
Ferrise, R. (IT)
Gaiser, T. (DE)
Garcia, C. (FR)
Gayler, S. (FR)
Ghahramani, A. (AU)
Hiremath, S. (FI)
Hoek, S. (NL)
Horan, H. (AU)
Hoogenboom, G. (US)
Huang, M. (CN)
Jabloun, M. (GB)
Jansson, P.-E. (SE)
Jing, Q. (CA)
Justes, E. (FR)
Kersebaum, Kurt Christian (UEK-B) ORCID, SAI, RID
Klosterhalfen, A. (DE)
Launay, M. (FR)
Lewan, E. (SE)
Luo, Q. (AU)
Maestrini, B. (US)
Mielenz, H. (DE)
Moriondo, M. (IT)
Zadeh, H. N. (FI)
Padovan, G. (IT)
Olesen, J. E. (DK)
Poyda, A. (DE)
Priesack, E. (DE)
Pullens, J. W. M. (DK)
Qian, B. (CA)
Schuetze, N. (DE)
Shelia, V. (US)
Souissi, A. (TN)
Specka, X. (DE)
Srivastava, A. K. (IN)
Stella, T. (DE)
Streck, T. (FR)
Trombi, G. (IT)
Wallor, E. (DE)
Wang, J. (CN)
Weber, T. K.D. (DE)
Weihermueller, L. (DE)
de Wit, A. (NL)
Woehling, T. (DE)
Xiao, L. (CN)
Zhao, C. (CH)
Zhu, Y. (CN)
Seidel, S. J. (DE)Number of authors 59 Article number 105206 Source Title Environmental Modelling & Software. - : Elsevier - ISSN 1364-8152
Roč. 145, NOV (2021)Number of pages 11 s. Language eng - English Country GB - United Kingdom Keywords multiobjective calibration ; parameterization ; uncertainty ; systems ; identifiability ; coefficients ; simulation ; phenology ; software ; gencalc ; Calibration recommendations ; Process-based models ; Parameter estimation ; Phenology Subject RIV EH - Ecology, Behaviour OECD category Environmental sciences (social aspects to be 5.7) R&D Projects EF16_019/0000797 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Research Infrastructure CzeCOS III - 90123 - Ústav výzkumu globální změny AV ČR, v. v. i. Method of publishing Limited access Institutional support UEK-B - RVO:86652079 UT WOS 000703667700002 EID SCOPUS 85117249704 DOI https://doi.org/10.1016/j.envsoft.2021.105206 Annotation 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. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2022 Electronic address https://www.sciencedirect.com/science/article/pii/S1364815221002486?via%3Dihub
Number of the records: 1