EGU2020-8716
https://doi.org/10.5194/egusphere-egu2020-8716
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Multi-Model Ensemble Crop Growth Simulation by use of the model framework Expert-N

Eckart Priesack1, Xiaohong Duan1, Sebastian Gayler2, and Florian Heinlein1
Eckart Priesack et al.
  • 1Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Biochemical Plant Pathology, Oberschleissheim, Germany (priesack@helmholtz-muenchen.de)
  • 2Institute of Soil Science and Land Evaluation, University of Hohenheim, Germany

We present an example for the generation of model ensembles by use of the model framework Expert-N. Different crop models are obtained by choosing different sub-models, which represent important processes to determine the dynamics of crop growth. In this way, different sub-models to simulate potential evapotranspiration, actual evaporation, actual transpiration, soil water flow, soil nitrogen transport, soil carbon and nitrogen turnover, crop development, canopy photosynthesis, potential and actual nitrogen uptake and crop growth are combined resulting in different crop models building a model ensemble. The sub-models are based on process descriptions that are included in the crop models CERES, SUCROS, SPASS and GECROS, but also stem from known soil models such as CENTURY, SOIL, SOILN, NCSOIL, LEACHM or HYDRUS.

The generated model ensemble is applied to simulate winter wheat growth at a field site in Southern Germany. We compare simulation results to measurements of crop biomasses and yields, and to soil water and nitrogen contents. It is concluded that model frameworks as the model system Expert-N can help to analyse structural uncertainties which lead to different simulation results between models of a model ensemble.

How to cite: Priesack, E., Duan, X., Gayler, S., and Heinlein, F.: Multi-Model Ensemble Crop Growth Simulation by use of the model framework Expert-N, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8716, https://doi.org/10.5194/egusphere-egu2020-8716, 2020

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