arrow_back Benchmark MODECOGeL
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.
Readme file
Archive file 56 downloads
inventory_2 dataModEcoMar.zip
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Related publications
Details
External identifier:
doi:10.18709/perscido.2019.10.ds267
Subjects:
Mathematics,
Biochemistry,
Computer science
Keywords:
Sobol Indices,
sensitivity analysis,
marine biogeochemistry
Citation
Laurence Viry (2019) Benchmark MODECOGeL. [Data set]. Published 2019 via Perscido-Grenoble-Alpes