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Author |
Persson, T.; Kværnø, S. |
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Title |
Impact of soil properties regionalization methods on regional wheat yield in southeastern Norway |
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Year |
2014 |
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CropM |
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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 |
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Call Number |
MA @ admin @ |
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2716 |
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Author |
Persson, T.; Kværnø, S.; Höglind, M. |
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Title |
Impact of soil properties regionalization procedures on regional timothy dry matter yield and variability in southeastern Norway |
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Conference Article |
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Year |
2014 |
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CropM |
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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 |
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no |
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Call Number |
MA @ admin @ |
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2718 |
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Author |
Wallach, D.; Mearns, L.O.; Ruane, A.C.; Rötter, R.P.; Asseng, S. |
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Title |
Lessons from climate modeling on the design and use of ensembles for crop modeling |
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Journal Article |
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Year |
2016 |
Publication |
Climatic Change |
Abbreviated Journal |
Clim. Change |
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Keywords |
Model ensembles; Crop models; Climate models; Model weighting; Super ensembles |
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Working with ensembles of crop models is a recent but important development in crop modeling which promises to lead to better uncertainty estimates for model projections and predictions, better predictions using the ensemble mean or median, and closer collaboration within the modeling community. There are numerous open questions about the best way to create and analyze such ensembles. Much can be learned from the field of climate modeling, given its much longer experience with ensembles. We draw on that experience to identify questions and make propositions that should help make ensemble modeling with crop models more rigorous and informative. The propositions include defining criteria for acceptance of models in a crop MME, exploring criteria for evaluating the degree of relatedness of models in a MME, studying the effect of number of models in the ensemble, development of a statistical model of model sampling, creation of a repository for MME results, studies of possible differential weighting of models in an ensemble, creation of single model ensembles based on sampling from the uncertainty distribution of parameter values or inputs specifically oriented toward uncertainty estimation, the creation of super ensembles that sample more than one source of uncertainty, the analysis of super ensemble results to obtain information on total uncertainty and the separate contributions of different sources of uncertainty and finally further investigation of the use of the multi-model mean or median as a predictor. |
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English |
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0165-0009 1573-1480 |
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Review |
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CropM |
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CropM; wos; ft=macsur; wsnotyet; |
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Call Number |
MA @ admin @ |
Serial |
4781 |
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Author |
Øygarden, L.; Höglind, M.; Harstad, M.; Hoveid, Ø. |
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Title |
Modelling European Agriculture with Climate change for food security |
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Conference Article |
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Year |
2013 |
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CropM |
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Bioforsk conference 2013. Proceedings in; Bioforsk Fokus Vol. 8 Nr 2. 2013. pp 372-374. Editors; Erling Fløistad & Morten Gunther. 390 pp. ISBN 978-82-17-00998-6., 2013-02-06 to 2013-02-07 |
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no |
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Call Number |
MA @ admin @ |
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2689 |
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Author |
Olesen, J.E. |
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Title |
Rainfed intensive crop systems |
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Book Chapter |
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Year |
2014 |
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Keywords |
CropM |
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Publisher |
Cabi |
Place of Publication |
Wallingford |
Editor |
Fuhrer, J.; Gregory, P.J. |
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Series Title |
Climate Change Impact and Adaptation in Agricultural Systems |
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no |
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Call Number |
MA @ admin @ |
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2686 |
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