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Author Pirttioja, N.; et al.
Title Examining wheat yield sensitivity to temperature and precipitation changes for a large ensemble of crop models using impact response surfaces Type Conference Article
Year 2014 Publication Abbreviated Journal
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Keywords CropM
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Area Expedition Conference MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12
Notes Approved no
Call Number MA @ admin @ Serial 2723
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Author Nendel, C.; Wieland, R.; Mirschel, W.; Specka, X.; Kersebaum, K.-C.
Title Die Simulation von Winterweizenerträgen in Thüringen unter Verwendung von meteorologischen Daten unterschiedlicher räumlicher Auflösung Type Conference Article
Year 2013 Publication Abbreviated Journal
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Keywords CropM
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Area Expedition Conference 33. GIL-Jahrestagung in Potsdam 2013 - Massendatenmanagement in der Agrar- und Ernährungswirtschaft, 2013-02-21 to 2013-02-21
Notes Approved no
Call Number MA @ admin @ Serial 2680
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Author Höglind, M.
Title Europeisk landbruk i et klima i endring (MACSUR) Type Conference Article
Year 2014 Publication Abbreviated Journal
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Keywords CropM
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Area Expedition Conference Bioforsk-konferansen 2014, Hamar Norway, 2014-02-05 to 2014-02-06
Notes Approved no
Call Number MA @ admin @ Serial 2485
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Author Dumont, B.; Basso, B.; Leemans, V.; Bodson, B.; Destain, J.-P.; Destain, M.-F.
Title A Site-Specific Grain Yield Response Surface : Computing the Identity Card of a Crop Under Different Nitrogen Management Scenarios Type Conference Article
Year 2013 Publication Abbreviated Journal
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Keywords CropM
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Area Expedition Conference Proceedings of the EFITA-WCCA-CIGR 2013 - Sustainable Agriculture through ICT innovation, 2013-11-03 to 2013-11-06, Torino
Notes Approved no
Call Number MA @ admin @ Serial 2408
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Author Wallach, D.; Thorburn, P.; Asseng, S.; Challinor, A.J.; Ewert, F.; Jones, J.W.; Rötter, R.; Ruane, A.
Title Overview paper on comprehensive framework for assessment of error and uncertainty in crop model predictions Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue Pages C4.1-D
Keywords MACSUR_ACK; CropM
Abstract Crop models are important tools for impact assessment of climate change, as well as for  exploring management options under current climate. It is essential to evaluate the  uncertainty associated with predictions of these models. Several ways of quantifying  prediction uncertainty have been explored in the literature, but there have been no  studies of how the different approaches are related to one another, and how they are  related to some overall measure of prediction uncertainty. Here we show that all the  different approaches can be related to two different viewpoints about the model; either  the model is treated as a fixed predictor with some average error, or the model can be  treated as a random variable with uncertainty in one or more of model structure, model  inputs and model parameters. We discuss the differences, and show how mean squared  error of prediction can be estimated in both cases. The results can be used to put  uncertainty estimates into a more general framework and to relate different uncertainty  estimates to one another and to overall prediction uncertainty. This should lead to a  better understanding of crop model prediction uncertainty and the underlying causes of  that uncertainty. This study was published as (Wallach et al. 2016)
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Area Expedition Conference
Notes Approved no
Call Number MA @ office @ Serial 2954
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