Rejecting hydro-biogeochemical model structures by multi-criteria evaluation

Autor: Ignacio Santabarbara, Philipp Kraft, C. Mller, Ralf Liebermann, Ralf Kiese, Klaus Butterbach-Bahl, Lutz Breuer, Edwin Haas, David Kraus, Tobias Houska, Steffen Klatt
Rok vydání: 2017
Předmět:
Zdroj: Environmental Modelling & Software. 93:1-12
ISSN: 1364-8152
DOI: 10.1016/j.envsoft.2017.03.005
Popis: This work presents a novel way for assessing and comparing different hydro-biogeochemical model structures and their performances. We used the LandscapeDNDC modelling framework to set up four models of different complexity, considering two soil-biogeochemical and two hydrological modules. The performance of each model combination was assessed using long-term (8 years) data and applying different thresholds, considering multiple criteria and objective functions. Our results show that each model combination had its strength for particular criteria. However, only 0.01% of all model runs passed the complete rejectionist framework. In contrast, our comparatively applied assessments of single thresholds, as frequently used in other studies, lead to a much higher acceptance rate of 4070%. Therefore, our study indicates that models can be right for the wrong reasons, i.e., matching GHG emissions while at the same time failing to simulate other criteria such as soil moisture or plant biomass dynamics. New method to investigate biogeochemical model structure performance.Process based hydrological modelling can improve biogeochemical model predictions.Modelling efficiency dramatically drops with multiple objectives.
Databáze: OpenAIRE
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