| Records |
| Author |
Hoffmann, H.; Zhao, G.; Asseng, S.A.U.-,; Bindi, M.; Cammarano, D.; Constantin, J.; Coucheney, E.; Dechow, R.; Doro, L.; Eckersten, H.; Gaiser, T.; Grosz, B.; Haas, E.; Kassie, B.; Kersebaum, K.C.; Kiese, R.; Klatt, S.; Kuhnert, M.; Lewan, E.; Moriondo, M.; Nendel, C.; Raynal, H.; Roggero, P.P.; Rötter, R.; Siebert, S.; Sosa, C.; Specka, X.; Tao, F.; Teixeira, E.; Trombi, G.; Yeluripati, J.; Vanuytrecht, E.; Wallach, D.; Wang, E.; Weihermüller, L.; Zhao, Z.; Ewert, F. |
| Title |
Analysing data aggregation effects on large-scale yield simulations |
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Conference Article |
| Year |
2016 |
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Berlin (Germany) |
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International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany |
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no |
| Call Number |
MA @ admin @ |
Serial |
4923 |
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Ruiz-Ramos, M.; Ferrise, R.; Rodríguez, A.; Lorite, I.J.; Tao, F.; Pirttioja, N.; Fronzek, S.; Palosuo, T.; Carter, T.R.; Bindi, M.; Höhn, J.G.; Kersebaum, K.C.; Trnka, M.; Hoffmann, H.; Baranowski, P.; Buis, S.; Cammarano, D.; Deligios, P.; Havlinka, P.; Minet, J.; Montesino, M.; Porter, J.; Recio, J.; Ruget, F.; Sanz, A.; Steinmetz, Z.; Stratonovitch, P.; Supit, I.; Ventrella, D.; Wit, A.D.; Rötter, R.P. |
| Title |
An ensemble of projections of wheat adaptation to climate change in europe analyzed with impact response surfaces |
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Conference Article |
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2016 |
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Berlin (Germany) |
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International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany |
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no |
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MA @ admin @ |
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4924 |
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Wallach, D.; Thorburn, P.; Asseng, S.; Challinor, A.J.; Ewert, F.; Jones, J.W.; Rötter, R.P.; Ruane, A. |
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A framework for evaluating uncertainty in crop model predictions |
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Conference Article |
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2016 |
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Berlin (Germany) |
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International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany |
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no |
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MA @ admin @ |
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4925 |
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Liu, B.; Asseng, S.; Müller, C.; Ewert, F.; Elliott, J.; Lobell, D. B.; Martre, P.; Ruane, A. C.; Wallach, D.; Jones, J. W.; Rosenzweig, C.; Aggarwal, P. K.; Alderman, P. D.; Anothai, J.; Basso, B.; Biernath, C.; Cammarano, D.; Challinor, A.; Deryng, D.; Sanctis, G. D.; Doltra, J.; Fereres, E.; Folberth, C.; Garcia-Vila, M.; Gayler, S.; Hoogenboom, G.; Hunt, L. A.; Izaurralde, R. C.; Jabloun, M.; Jones, C. D.; Kersebaum, K. C.; Kimball, B. A.; Koehler, A.-K.; Kumar, S. N.; Nendel, C.; O’Leary, G. J.; Olesen, J. E.; Ottman, M. J.; Palosuo, T.; Prasad, P. V. V.; Priesack, E.; Pugh, T. A. M.; Reynolds, M.; Rezaei, E. E.; Rötter, R. P.; Schmid, E.; Semenov, M. A.; Shcherbak, I.; Stehfest, E.; Stöckle, C. O.; Stratonovitch, P.; Streck, T.; Supit, I.; Tao, F.; Thorburn, P.; Waha, K.; Wall, G. W.; Wang, E.; White, J. W.; Wolf, J.; Zhao, Z.; Zhu, Y. |
| Title |
Similar estimates of temperature impacts on global wheat yield by three independent methods |
Type |
Journal Article |
| Year |
2016 |
Publication |
Nature Climate Change |
Abbreviated Journal |
Nat. Clim. Change |
| Volume |
6 |
Issue |
12 |
Pages |
1130-1136 |
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1758-678x |
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article |
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CropM |
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no |
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MA @ admin @ |
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4965 |
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Ginaldi, F.; Bindi, M.; Marta, A.D.; Ferrise, R.; Orlandini, S.; Danuso, F. |
| Title |
Interoperability of agronomic long term experiment databases and crop model intercomparison: the Italian experience |
Type |
Journal Article |
| Year |
2016 |
Publication |
European Journal of Agronomy |
Abbreviated Journal |
Europ. J. Agron. |
| Volume |
77 |
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Pages |
209-222 |
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| Abstract |
• ICFAR-DB organises and stores data from 16 Italian long term agronomic experiments. • ICFAR-DB fulfils interoperability using system dynamics ontology and AgMIP nomenclature. • ICFAR information management system moves closer data to model and vice versa. The IC-FAR national project (Linking long term observatories with crop system modelling for better understanding of climate change impact, and adaptation strategies for Italian cropping systems) initiated in 2013 with the primary aim of implementing data from 16 long term Italian agronomic experiments in a common, interoperable structure. The building of a common database (DB) structure demands a harmonization process aimed at standardising concepts, language and data in order to make them clear, and has to produce a well-documented and easily available tool for the whole scientific community. The Agricultural Model Intercomparison and Improvement Project (AgMIP) has made a great effort in this sense, improving the vocabulary developed by the International Consortium for Agricultural Systems Applications (ICASA) and defining harmonization procedures. Nowadays, these ones have also to be addressed to facilitate the extraction of input files for crop model simulations. Substantially, two alternative directions can be pursued: adapting data to models, building a standard storage structure and using translators that convert DB information to model input files; or adapting models to data, using the same storage structure for feeding modelling solutions constituted by combining model components, re-implemented in the same model platform. The ICFAR information management system simplifies data entry, improves model input extraction (implementing System Dynamics ontology), and satisfies both the paradigms. This has required the development of different software tools: ICFAR-DB for data entry and storage; a model input extractor for feeding the crop models (MoLInEx); SEMoLa platform for building modelling solutions and performing via scripts the model intercomparison. The use of the standard AgMIP/ICASA nomenclature in the ICFAR-DB and the opportunity to create files with MoLInex for feeding AgMIP model translators allow full system interoperability. |
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1161-0301 |
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article |
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CropM, ftnotmacsur |
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no |
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MA @ admin @ |
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4972 |
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