| Author |
Title  |
Year |
Publication |
Volume |
Pages |
| Challinor, A.J.; Smith, M.S.; Thornton, P. |
Use of agro-climate ensembles for quantifying uncertainty and informing adaptation |
2013 |
Agricultural and Forest Meteorology |
170 |
2-7 |
| De Swaef, T.; Bellocchi, G.; Aper, J.; Lootens, P.; Roldan-Ruiz, I. |
Use of identifiability analysis in designing phenotyping experiments for modelling forage production and quality |
2019 |
Journal of Experimental Botany |
70 |
2587-2604 |
| 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 |
| Angulo, C.; Gaiser, T.; Rötter, R.P.; Børgesen, C.D.; Hlavinka, P.; Trnka, M.; Ewert, F. |
‘Fingerprints’ of four crop models as affected by soil input data aggregation |
2014 |
European Journal of Agronomy |
61 |
35-48 |
