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Sensitivity of the process-based model DNDC on microbiological parameters

By Adrian Leip, Marco Follador, Stefano Tarantola, Mirko Busto and Nathalie Villa-Vialaneix


International audienceProcess-based model such as DNDC rely on a large numbers of parameters which were defined by the model developer on the basis of existing references. Subsequently, some values have been changed to improve model performance for specific applications, often without adequate documentation. Many of these parameters are thus estimates of the real values appropriate for local conditions introducing approximation errors for applications at larger scales. Spatially explicit datasets might be required for some parameters for which model output is highly sensitive. We will present a sensitivity analysis of 38 mainly micro-biological internal parameter of DNDC-EUROPE

Topics: [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [SDE]Environmental Sciences
Publisher: HAL CCSD
Year: 2011
OAI identifier: oai:HAL:hal-00674167v1

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