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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
2019-ongoing
Wageningen University, University of Gottingen and ZALF
2018 - Course Assistant and Visiting Researcher
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