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Author |
Title |
Year |
Publication |
Volume |
Pages |
Links  |
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Zhang, S.; Tao, F.; Zhang, Z. |
Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China |
2017 |
European Journal of Agronomy |
87 |
30-39 |
|
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|
Tao, F.; Palosuo, T.; Roetter, R.P.; Hernandez Diaz-Ambrona, C.G.; Ines Minguez, M.; Semenov, M.A.; Kersebaum, K.C.; Cammarano, D.; Specka, X.; Nendel, C.; Srivastava, A.K.; Ewert, F.; Padovan, G.; Ferrise, R.; Martre, P.; Rodriguez, L.; Ruiz-Ramos, M.; Gaiser, T.; Hohn, J.G.; Salo, T.; Dibari, C.; Schulman, A.H. |
Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models |
2020 |
Agricultural and Forest Meteorology |
281 |
107851 |
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|
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Rötter, P.; Palosuo, T.; Semenov, M.; Ruiz-Ramos, M.; Tao, F.; Fronzek, S.; Pirttioja, K.; Bindi, M.; Carter, R.; Hoffmann, H.; Höhn, J.; Kersebaum, C.; Trnka, M. |
Designing new cereal cultivars as an adaptation measure using crop model ensembles |
2014 |
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Rötter, R.P.; Höhn, J.K.; Palosuo, T.; Kassie, B.T.; Paff, K.; Tao, F.; Chen, Y.; Asseng, S.; et al. |
Yield gap and variability analysis for different aro-technologies for maize and wheat (YGV study) |
2015 |
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Jabloun, M.; Li, X.; Olesen, E.; Schelde, K.; Tao, F. |
RDAISY: a comprehensive modelling framework for automated calibration, sensitivity and uncertainty analysis of the DAISY model |
2014 |
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