Records |
Author |
Nendel, C.; Ewert, F.; Rötter, R.P.; Rosenzweig, C.; Jones, J.W.; Hatfield, J.L.; Asseng, S.; Ruane, A.C.; Banse, M.; Tiffin, R.; Brouwer, F.; Sinabell, F.; Scollan, N.; Meijs, J.; Angulo, C.; Antle, J.M.; Baigorria, G.; Basso, B.; Bindi, M.; Boote, K.J.; Gaiser, T.; Janssen, S.; Kersebaum, K.C.; Nelson, G.; Olesen, J.E.; Palosuo, T.; Porter, C.H.; Porter, J.R.; Rivington, M.; Semenov, M.; Stewart, D.; Thorburn, P.; Trnka, M.; van Ittersum, M.K.; Verhagen, J.; Wallach, D.; Winter, J.M. |
Title |
Addressing challenges and uncertainties for, the use of agro-ecosystem models to, assess climate change impact and food security across scales |
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Conference Article |
Year |
2013 |
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CropM |
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Climate Change and Regional Responses Conference, Dresden, 2013-05-27 to 2013-05-27 |
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Call Number |
MA @ admin @ |
Serial |
2679 |
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Author |
Kersebaum, C.; Nendel, C.; Rötter, R.P. |
Title |
Documentation of temperature algorithms in the models HERMES, MONICA and WOFOST |
Type |
Conference Article |
Year |
2013 |
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CropM |
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AgMIP workshop “Wheat Response to High Temperature”, El Batan/Mexico., 2013-06-19 to 2013-06-21 |
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no |
Call Number |
MA @ admin @ |
Serial |
2522 |
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Author |
Kersebaum, C.; Kollas, C.; Palosuo, T.; Bindi, M.; Nendel, C. |
Title |
WP1 – Protocols, data formats and data classification scheme |
Type |
Conference Article |
Year |
2013 |
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CropM |
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JPI FACCE MACSUR CropM and LiveM cross-cutting activity Helsinki, Finland, 2013-05-06 to 2013-05-06 |
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MA @ admin @ |
Serial |
2524 |
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Author |
Kersebaum, C.; Nendel, C. |
Title |
Requirements for data from variety trials – justification and purpose (in German) |
Type |
Conference Article |
Year |
2013 |
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CropM |
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Association of Federal Agricultural Chambers, Coordination Panel for field trials. Berlin/Germany, 2013-11-13 to 2013-11-13 |
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MA @ admin @ |
Serial |
2520 |
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Author |
Nendel, C. |
Title |
Data classification and criteria catalogue for data requirements |
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Report |
Year |
2013 |
Publication |
FACCE MACSUR Reports |
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1 |
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Pages |
D-C1.2 |
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Abstract |
Data requirements for calibration and validation of agro-ecosystem models were elaborated and a classification scheme for the suitability of experimental data for model testing and improvement has been developed. The scheme enables to evaluate datasets and to classify datasets upon their quality to be used in crop modelling. No Label |
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MA @ admin @ |
Serial |
2254 |
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