|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Sanna, M.; Bellocchi, G.; Fumagalli, M.; Acutis, M. |
A new method for analysing the interrelationship between performance indicators with an application to agrometeorological models |
2015 |
Environmental Modelling & Software |
73 |
286-304 |
|
|
Wallach, D.; Mearns, L.O.; Ruane, A.C.; Rötter, R.P.; Asseng, S. |
Lessons from climate modeling on the design and use of ensembles for crop modeling |
2016 |
Climatic Change |
139 |
551-564 |
|
|
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 |
|
|
Milford, A.B.; Le Mouel, C.; Bodirsky, B.L.; Rolinski, S. |
Drivers of meat consumption |
2019 |
Appetite |
141 |
Unsp 104313 |
|
|
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 |
|