Model uncertainty

The importance of simulation configuration to crop model development (oral presentation)

Model uncertainty decomposition and importance of input uncertainty quantification.

The role of biological nitrogen fixation on crop productivity, nitrogen use efficiency and nitrous oxide emissions in reconfigured crop rotations. Quantification at different spatio-temporal scales

Daian Francia Laurenzo

Linking remote sensing and crop models to estimate the aboveground biomass of annual and perennial forage crops

Facundo Della Nave

Multi-resolution analysis of aggregated spatial data to simulate yield and irrigation water demand at regional scales (oral presentation)

We explored the implications of using coarse resolution input data on model outputs

Effects of soil- and climate data aggregation on simulated potato yield and irrigation water requirement

We quantify the data aggregation effects on potato yield and irrigation requirements.

Towards high crop productivity in agriculture based on multi-scale modelling and climate change impact studies


Wageningen University, University of Gottingen and ZALF

2018 - Course Assistant and Visiting Researcher