Analysis and classification of data sets for calibration and validation of agro-ecosystem models

Autor: Martin Wegehenkel, Gerrit Hoogenboom, Françoise Ruget, Miroslav Trnka, Kenneth J. Boote, Kurt Christian Kersebaum, Claas Nendel, Jason Jorgenson, C. Frühauf, Peter J. Thorburn, Marco Bindi, Thomas Gaiser, Chris Kollas, Jørgen E. Olesen, Reimund P. Rötter

Publikováno v: Environmental Modelling and Software
Environmental Modelling and Software, Elsevier, 2015, 72, pp.402-417. ⟨10.1016/j.envsoft.2015.05.009⟩
Kersebaum, K C, Boote, K J, Jorgenson, J S, Nendel, C, Bindi, M, Frünhauf, C, Gaiser, T, Hoogenboom, G, Kollas, C, Olesen, J E, Rötter, R, Ruget, F, Thoburn, P, Trnka, M & Wegehenkel, M 2015, ' Analysis and classification of data sets for calibration and validation of agro-ecosystem models ', Environmental Modelling & Software, vol. 72, pp. 402-417 . https://doi.org/10.1016/j.envsoft.2015.05.009

Experimental field data are used at different levels of complexity to calibrate, validate and improve agro-ecosystem models to enhance their reliability for regional impact assessment. A methodological framework and software are presented to evaluate

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https://hal.inrae.fr/hal-02641352