Uncertainty in crop model predictions: What is the role of users?

Crop models are used to estimate crop productivity under future climate projections, and modellers manage uncertainty by considering different scenarios and GCMs, using a range of crop simulators. Five crop models and 20 users were arranged in a randomized block design with four replicates. Paramete...

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Veröffentlicht in:	Environmental modelling & software : with environment data news 2016-07, Vol.81, p.165-173
Hauptverfasser:	Confalonieri, Roberto, Orlando, Francesca, Paleari, Livia, Stella, Tommaso, Gilardelli, Carlo, Movedi, Ermes, Pagani, Valentina, Cappelli, Giovanni, Vertemara, Andrea, Alberti, Luigi, Alberti, Paolo, Atanassiu, Samuel, Bonaiti, Matteo, Cappelletti, Giovanni, Ceruti, Matteo, Confalonieri, Andrea, Corgatelli, Gabriele, Corti, Paolo, Dell'Oro, Michele, Ghidoni, Alessandro, Lamarta, Angelo, Maghini, Alberto, Mambretti, Martino, Manchia, Agnese, Massoni, Gianluca, Mutti, Pierangelo, Pariani, Stefano, Pasini, Davide, Pesenti, Andrea, Pizzamiglio, Giovanni, Ravasio, Adriano, Rea, Alessandro, Santorsola, David, Serafini, Giulia, Slavazza, Marco, Acutis, Marco
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Calibration Computer programs Crops Maize Mathematical models Model ensemble Parameter uncertainty Parametrization Rapeseed Uncertainty Uncertainty in predictions Zea mays
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