|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Ruiz-Ramos, M.; Rodriguez, A.; Dosio, A.; Goodess, C.M.; Harpham, C.; Minguez, M.I.; Sanchez, E. |
Comparing correction methods of RCM outputs for improving crop impact projections in the Iberian Peninsula for 21st century |
2016 |
Climatic Change |
134 |
283-297 |
|
|
Refsgaard, J.C.; Madsen, H.; Andréassian, V.; Arnbjerg-Nielsen, K.; Davidson, T.A.; Drews, M.; Hamilton, D.P.; Jeppesen, E.; Kjellström, E.; Olesen, J.E.; Sonnenborg, T.O.; Trolle, D.; Willems, P.; Christensen, J.H. |
A framework for testing the ability of models to project climate change and its impacts |
2014 |
Climatic Change |
122 |
271-282 |
|
|
Montesino-San Martín, M.; Olesen, J.E.; Porter, J.R. |
Can crop-climate models be accurate and precise? A case study for wheat production in Denmark |
2015 |
Agricultural and Forest Meteorology |
202 |
51-60 |
|
|
Challinor, A.; Martre, P.; Asseng, S.; Thornton, P.; Ewert, F. |
Making the most of climate impacts ensembles |
2014 |
Nature Climate Change |
4 |
77-80 |
|
|
Wallach, D.; Nissanka, S.P.; Karunaratne, A.S.; Weerakoon, W.M.W.; Thorburn, P.J.; Boote, K.J.; Jones, J.W. |
Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: A case study on rice |
2016 |
European Journal of Agronomy |
|
|
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