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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, É.* ; Kersebaum, K.C.* ; 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.

Environ. Modell. Softw. 145:105206 (2021)
Postprint DOI
Open Access Green
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Calibration Recommendations ; Process-based Models ; Parameter Estimation ; Phenology; Multiobjective Calibration; Parameterization; Uncertainty; Systems; Identifiability; Coefficients; Simulation; Phenology; Software; Gencalc
ISSN (print) / ISBN 1364-8152
e-ISSN 1873-6726
Zeitschrift Environmental Modelling and Software
Quellenangaben Band: 145, Heft: , Seiten: , Artikelnummer: 105206 Supplement: ,
Verlag Elsevier
Verlagsort The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1gb, Oxon, England
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biochemical Plant Pathology (BIOP)
Helmholtz AI - FZJ (HAI - FZJ)
Förderungen Ministry of Education, Youth and Sports of Czech Republic through SustES
National Key Research and Development Program of China
German Federal Ministry of Education and Research (BMBF)
INRA ACCAF meta-programme
project BiomassWeb of the GlobeE programme - Federal Ministry of Education and Research (BMBF, Germany)
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy )
BonaRes project ''Soil3'' of the Federal Ministry of Education and Research (BMBF), Germany
Natural Resources Institute Finland (Luke) through a strategic project BoostIA
Academy of Finland through project DivCSA
Academy of Finland through project AICropPro
National Science Foundation for Distinguished Young Scholars
Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
JPI FACCE MACSUR2 project - Italian Ministry for Agricultural, Food, and Forestry Policies
Academy of Finland through project AI-CropPro
University of Southern Queensland
Broadacre Agriculture Initiative
USDA/NIFA HATCH
U.S. Department of Agriculture National Institute of Food and Agriculture
DFG Research Unit FOR
Agriculture and Agri-Food Canada's Project under he Canadian Agricultural Partnership
China Scholarship Council
111 project
Collaborative Research Center 1253 CAMPOS - German Research Foundation (DFG)