|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Schauberger, B.; Rolinski, S.; Müller, C. |
A network-based approach for semi-quantitative knowledge mining and its application to yield variability |
2016 |
Environmental Research Letters |
11 |
123001 |
|
|
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 |
|
|
|
|
Popp, A.; Calvin, K.; Fujimori, S.; Havlik, P.; Humpenöder, F.; Stehfest, E.; Bodirsky, B.L.; Dietrich, J.P.; Doelmann, J.C.; Gusti, M.; Hasegawa, T.; Kyle, P.; Obersteiner, M.; Tabeau, A.; Takahashi, K.; Valin, H.; Waldhoff, S.; Weindl, I.; Wise, M.; Kriegler, E.; Lotze-Campen, H.; Fricko, O.; Riahi, K.; Vuuren, D.P. van |
Land-use futures in the shared socio-economic pathways |
2017 |
Global Environmental Change |
42 |
331-345 |
|
|
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 |
|
|
Kraus, D.; Weller, S.; Klatt, S.; Haas, E.; Wassmann, R.; Kiese, R.; Butterbach-Bahl, K. |
A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems |
2015 |
Plant and Soil |
386 |
125-149 |
|