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Author Zylowska, K.; Nieróbca, A.; Kozyra, J.; Syp, A.
Title Climatic condition for yielding of maize in Poland in the period 1971-2010 Type Conference Article
Year 2014 Publication Abbreviated Journal
Volume Issue Pages
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 2932
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Author Zimmermann, A.; Witzke, P.
Title MACSUR-TradeM Baseline Scenario in CAPRI Type Conference Article
Year 2013 Publication Abbreviated Journal
Volume Issue Pages
Keywords TradeM
Abstract
Address
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Publisher (up) Place of Publication Editor
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Area Expedition Conference MACSUR TradeM Workshop on Global Food Security Challenges – European Research approaches. Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, 2013-11-18 to 2013-11-20
Notes Approved no
Call Number MA @ admin @ Serial 2930
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Author Zimmermann, A.; Britz, W.; Adenäuer, M.; Heckelei, T.
Title Food Security Assessment with CAPRI Type Conference Article
Year 2013 Publication Abbreviated Journal
Volume Issue Pages
Keywords TradeM
Abstract
Address
Corporate Author Thesis
Publisher (up) Place of Publication Editor
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Area Expedition Conference MACSUR TradeM workshop: Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security, The Natural Resource and Environmental Research Center (NRERC), University of Haifa, Israel, 2013-03-03 t
Notes Approved no
Call Number MA @ admin @ Serial 2931
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Author Zimmermann, A.; Adenäuer, M.
Title Exploring yield trends and gaps in the EU Type Conference Article
Year 2014 Publication Abbreviated Journal
Volume Issue Pages
Keywords TradeM;
Abstract
Address
Corporate Author Thesis
Publisher (up) Place of Publication Hurdal (Norway) Editor
Language Summary Language Original Title
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Area Expedition Conference MACSUR TradeM International Workshop »Economics of integrated assessment approaches for agriculture and the food sector«, 2014-11-25 to 2014-11-27, Hurdal
Notes Approved no
Call Number MA @ admin @ Serial 2928
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Author Ruiz-Ramos, M.; Rodriguez, A.; Dosio, A.; Goodess, C.M.; Harpham, C.; Minguez, M.I.; Sanchez, E.
Title Comparing correction methods of RCM outputs for improving crop impact projections in the Iberian Peninsula for 21st century Type Journal Article
Year 2016 Publication Climatic Change Abbreviated Journal Clim. Change
Volume 134 Issue 1-2 Pages 283-297
Keywords regional climate model; bias correction; weather generator; circulation model; simulations; temperature; precipitation; ensemble; uncertainty; extremes
Abstract Assessment of climate change impacts on crops in regions of complex orography such as the Iberian Peninsula (IP) requires climate model output which is able to describe accurately the observed climate. The high resolution of output provided by Regional Climate Models (RCMs) is expected to be a suitable tool to describe regional and local climatic features, although their simulation results may still present biases. For these reasons, we compared several post-processing methods to correct or reduce the biases of RCM simulations from the ENSEMBLES project for the IP. The bias-corrected datasets were also evaluated in terms of their applicability and consequences in improving the results of a crop model to simulate maize growth and development at two IP locations, using this crop as a reference for summer cropping systems in the region. The use of bias-corrected climate runs improved crop phenology and yield simulation overall and reduced the inter-model variability and thus the uncertainty. The number of observational stations underlying each reference observational dataset used to correct the bias affected the correction performance. Although no single technique showed to be the best one, some methods proved to be more adequate for small initial biases, while others were useful when initial biases were so large as to prevent data application for impact studies. An initial evaluation of the climate data, the bias correction/reduction method and the consequences for impact assessment would be needed to design the most robust, reduced uncertainty ensemble for a specific combination of location, crop, and crop management.
Address 2016-10-31
Corporate Author Thesis
Publisher (up) Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0165-0009 ISBN Medium Article
Area Expedition Conference
Notes CropM, ft_macsur Approved no
Call Number MA @ admin @ Serial 4805
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