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Castañeda-Vera, A.; Garrido, A.; Ruiz-Ramos, M.; Sánchez-Sánchez, E.; Mínguez, M.I. |
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Quantitative assessment of current and future risks related rainfall in processing tomato in the Guadiana river basin (SW Spain) |
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2013 |
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European GeoSciences Union (EGU), General Assembly 2013, 2013-04-07 to 2013-04-12 |
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MA @ admin @ |
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2354 |
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Rötter, R.P.; Asseng, S.; Ewert, F.; Rosenzweig, C.; Jones, J.W.; Hatfield, J.L.; Basso, B.; Ruane, A.; Boote, K.J.; Thorburn, P.; Brisson, N.; Martre, P.; Aggarwal, P.K.; Angulo, C.; Pertuzzi; Biernath, C.; Challinor, A.J.; Doltra, J.; Gayler, S.; Goldberg, R.; Heng, L.; Hooker, J.; Hunt, L.A.; Ingwersen, J.; Izaurralde, R.C.; Kersebaum, K.-C.; Müller, C.; Kumar, S.N.; Nendel, C.; O’Leary, G.; Olesen, J.E.; Osborne, T.M.; Palosuo, T.; Priesack, E.; Ripoche, D.; Semenov, M.A.; Shcherbak, I.; Steduto, P.; Stöckle, C.; Stratonovitch, P.; Streck, T.; Supit, I.; Tao, F.; Travasso, M.; Waha, K.; Wallach, D.; White, J.W.; Williams, J.R.; Wolf, J. |
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Title |
Quantifying Uncertainties in Modeling Crop Water Use under Climate Change |
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Conference Article |
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2013 |
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Impacts World 2013, International Conference on Climate Change Effects, Potsdam, Germany, 2013-05-27 to 2013-05-30 |
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MA @ admin @ |
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2767 |
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Montesino-San Martin, M.; Wallach, D.; Olesen, J.E.; Porter, J.R. |
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Quantifying data requirements in crop models; applying the learning curve approach to winter wheat phenology models |
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CropM |
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MA @ admin @ |
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5023 |
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Biewald, A. |
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Title |
Quantifying and Qualifying the Impact of Agricultural Trade on Water Resources – Achievements and Challenges |
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2013 |
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TradeM |
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Water Research Horizon Conference, Berlin, Germany, 2013-06-25 to 2013-06-26 |
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MA @ admin @ |
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2319 |
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Author |
Rivington, M.; Wallach, D. |
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Title |
Quantified Evidence of Error Propagation |
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Report |
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2015 |
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FACCE MACSUR Reports |
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6 |
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D-C4.2.3 |
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Error propagation within models is an issue that requires a structured approach involving the testing of individual equations and evaluation of the consequences of error creation from imperfect equation and model structure on estimates of interest made by a model. This report briefly covers some of the key issues in error propagation and sets out several concepts, across a range of complexity, that may be used to organise an investigation into error propagation. No Label |
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MA @ admin @ |
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2102 |
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