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@ARTICLE{Wallach:897197,
author = {Wallach, Daniel and Palosuo, Taru and Thorburn, Peter and
Hochman, Zvi and Gourdain, Emmanuelle and Andrianasolo, Fety
and Asseng, Senthold and Basso, Bruno and Buis, Samuel and
Crout, Neil and Dibari, Camilla and Dumont, Benjamin and
Ferrise, Roberto and Gaiser, Thomas and Garcia, Cecile and
Gayler, Sebastian and Ghahramani, Afshin and Hiremath,
Santosh and Hoek, Steven and Horan, Heidi and Hoogenboom,
Gerrit and Huang, Mingxia and Jabloun, Mohamed and Jansson,
Per-Erik and Jing, Qi and Justes, Eric and Kersebaum, Kurt
Christian and Klosterhalfen, Anne and Launay, Marie and
Lewan, Elisabet and Luo, Qunying and Maestrini, Bernardo and
Mielenz, Henrike and Moriondo, Marco and Nariman Zadeh,
Hasti and Padovan, Gloria and Olesen, Jørgen Eivind and
Poyda, Arne and Priesack, Eckart and Pullens, Johannes
Wilhelmus Maria and Qian, Budong and Schütze, Niels and
Shelia, Vakhtang and Souissi, Amir and Specka, Xenia and
Srivastava, Amit Kumar and Stella, Tommaso and Streck, Thilo
and Trombi, Giacomo and Wallor, Evelyn and Wang, Jing and
Weber, Tobias K. D. and Weihermüller, Lutz and de Wit,
Allard and Wöhling, Thomas and Xiao, Liujun and Zhao,
Chuang and Zhu, Yan and Seidel, Sabine J.},
title = {{T}he chaos in calibrating crop models: {L}essons learned
from a multi-model calibration exercise},
journal = {Environmental modelling $\&$ software},
volume = {145},
issn = {1364-8152},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2021-03665},
pages = {105206 -},
year = {2021},
abstract = {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.},
cin = {IBG-3},
ddc = {004},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000703667700002},
doi = {10.1016/j.envsoft.2021.105206},
url = {https://juser.fz-juelich.de/record/897197},
}