Selected Publications


Persson T.; Höglind M.; Van Oijen M.; Korhonen P.; Palosuo T.; Jégo G.; Virkajärvi P.; Bélanger G.; Gustavsson A.-M.; , 2019, Simulation of timothy nutritive value: a comparison of three process-based models. Field Crops Research, 231, 81-92

Korhonen Panu; Palosuo Taru; Persson Tomas; Höglind Mats; Jégo Guillaume; Van Oijen Marcel; Gustavsson Anne-Maj; Bélanger Gilles; Virkajärvi Perttu; , 2018, Modelling grass yields in northern climates – a comparison of three growth models for timothy. Field Crops Research, 224, 37-47

Aleksankina Ksenia; Heal Mathew R.; Dore Anthony J.; Van Oijen Marcel; Reis Stefan; , 2018, Global sensitivity and uncertainty analysis of an atmospheric chemistry transport model: the FRAME model (version 9.15.0) as a case study. Geoscientific Model Development, 11, 1653-1664

Levy Peter; Van Oijen Marcel; Buys Gwen; Tomlinson Sam; , 2018, Estimation of gross land-use change and its uncertainty using a Bayesian data assimilation approach. Biogeosciences, 15, 1497-1513

Van Oijen Marcel; , 2017, Bayesian methods for quantifying and reducing uncertainty and error in forest models. Current Forestry Reports, 3, 269-280

Hjelkrem Anne-Grete Roer; Höglind Mats; van Oijen Marcel; Schellberg Jürgen; Gaiser Thomas; Ewert Frank; , 2017, Sensitivity analysis and Bayesian calibration for testing robustness of the BASGRA model in different environments. Ecological Modelling, 359, 80-91

Van Oijen Marcel; Cameron David; Levy Peter E.; Preston Rory; , 2017, Correcting errors from spatial upscaling of nonlinear greenhouse gas flux models. Environmental Modelling & Software, 94, 157-165

Levy P.E.; Cowan N.; Van Oijen M.; Famulari D.; Drewer J.; Skiba U.; , 2017, Estimation of cumulative fluxes of nitrous oxide: uncertainty in temporal upscaling and emission factors. European Journal of Soil Science

Virkajärvi P.; Korhonen P.; Bellocchi G.; Curnel Y.; Wu L.; Jégo G.; Persson T.; Höglind M.; Van Oijen M.; Gustavsson A.-M.; Kipling R.P.; , 2016, Modelling responses of forages to climate change with a focus on nutritive value. Advances in Animal Biosciences, 7, 227-228

Höglind Mats; Van Oijen Marcel; Cameron David; Persson Tomas; , 2016, Process-based simulation of growth and overwintering of grassland using the BASGRA model. , 335, 1-15

Kipling Richard P.; Bannink André; Bellocchi Gianni; Dalgaard Tommy; Fox Naomi J.; Hutchings Nicholas J.; Kjeldsen Chris; Lacetera Nicola; Sinabell Franz; Topp Cairistiona F.E.; van Oijen Marcel; Virkajärvi Perttu; Scollan Nigel D.; , 2016, Modeling European ruminant production systems: facing the challenges of climate change. , 147, 24-37

Reyer Christopher P.O.; Flechsig Michael; Lasch-Born Petra; Van Oijen Marcel; , 2016, Integrating parameter uncertainty of a process-based model in assessments of climate change effects on forest productivity. , 137, 395-409

Kuhnert Matthias; Yeluripati Jagadeesh; Smith Pete; Hoffmann Holger; Van Oijen Marcel; Constantin Julie; Coucheney Elsa; Dechow Rene; Eckersten Henrik; Gaiser Thomas; Grosz Balász; Haas Edwin; Kersebaum Kurt-Christian; Kiese Ralf; Klatt Steffen; Lewan Elisabet; Nendel Claas; Raynal Helene; Sosa Carmen; Specka Xenia; Teixeira Edmar; Wang Enli; Weihermüller Lutz; Zhao Gang; Zhao Zhigan; Ogle Stephen; Ewert Frank; , 2016, Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands. European Journal of Agronomy

Van Oijen M.; Hoglind M.; , 2015, Toward a Bayesian procedure for using process-based models in plant breeding, with application to ideotype design.

Rolinski S.; Rammig A.; Walz A.; von Bloh W.; Van Oijen M.; Thonicke K.; , 2015, A probabilistic risk assessment for the vulnerability of the European carbon cycle to extreme events: the ecosystem perspective. , 12, 1813-1831

Van Oijen M.; Balkovi J.; Beer C.; Cameron D.R.; Ciais P.; Cramer W.; Kato T.; Kuhnert M.; Martin R.; Myneni R.; Rammig A.; Rolinski S.; Soussana J.-F.; Thonicke K.; Van der Velde M.; Xu L.; , 2014, Impact of droughts on the carbon cycle in European vegetation: a probabilistic risk analysis using six vegetation models. , 11, 6357-6375

Bagnara, M.; Van Oijen, M.; Cameron, D.; Gianelle, D.; Magnani, F.; Sottocornola, M., 2014, A user-friendly forest model with a multiplicative mathematical structure: a Bayesian approach to calibration. Geoscientific Model Development Discussions, 7, 6997-7031

Milne, Alice E.; Glendining, Margaret J.; Bellamy, Pat; Misselbrook, Tom; Gilhespy, Sarah; Rivas Casado, Monica; Hulin, Adele; Van Oijen, Marcel; Whitmore, Andrew P., 2014, Analysis of uncertainties in the estimates of nitrous oxide and methane emissions in the UK’s greenhouse gas inventory for ag. Atmospheric Environment, 82, 94-105

Minunno, F.; van Oijen, M.; Cameron, D.R.; Pereira, J.S., 2013, Selecting parameters for Bayesian calibration of a process-based model: a methodology based on canonical correlation analysis. SIAM/ASA Journal on Uncertainty Quantification, 1, 370-385

van Oijen, Marcel; Beer, Christian; Cramer, Wolfgang; Rammig, Anja; Reichstein, Markus; Rolinski, Susanne; Soussana, Jean-Francois, 2013, A novel probabilistic risk analysis to determine the vulnerability of ecosystems to extreme climatic events. Environmental Research Letters, 8