arrow_back Benchmark MODECOGeL

18 Oct 2019 Open Simulation results

General information

Contributor: Clementine Prieur

Institution: Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK

Description: A global sensitivity analysis approach for marine biogeochemical modeling. Marine biogeochemical models are now commonly included as modules in complex ocean circulation modeling systems. They are thus increasingly used for many applications. For such applications, sensitivity analysis (SA), i.e. methods that aim to quantify the relative influence of the inputs on some given outputs in a complex system like a numerical model, are a valuable tool. The model concerned with this benchmark is MODECOGeL, for which the input space is of dimension d = 74, and consider 15 different quantities of interest (QoI). This study required a high number of model evaluations that the authors decided to provide to the MASCOT NUM community, and more generally to the community of uncertainty quantification.

Archive file 44 downloads

inventory_2  dataModEcoMar.zip

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Details

External identifier:
doi:10.18709/perscido.2019.10.ds267

Subjects:
Biochemistry, Computer science, Mathematics

Keywords:
Marine biogeochemistry, Sensitivity analysis, Sobol\' indices

Citation

Laurence Viry (2019) Benchmark MODECOGeL. [Data set]. Published 2019 via Perscido-Grenoble-Alpes

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