RESOURCECODE: A Python package for statistical analysis of sea-state hindcast data

Type Article
Date 2023-03-23
Language English
Author(s) Raillard NicolasORCID1, Chabot Simon2, Maisondieu ChristopheORCID1, Darbynian David3, Payne GregoryORCID4, 5, Papillon Louis6
Affiliation(s) 1 : Ifremer, RDT, F-29280 Plouzané, France
2 : Logilab, Paris, France
3 : EMEC, Orkney, UK
4 : LHEEA, Ecole Centrale de Nantes and CNRS (UMR6598), 1 rue de la Noë, 44300 Nantes, France
5 : LHEEA, Ecole Centrale de Nantes and CNRS (UMR6598), 1 rue de la Noë, 44300 Nantes, France
6 : Innosea, Nantes, France
Source Journal of Open Source Software (2475-9066) (Open Journals), 2023-03-23 , Vol. 8 , N. 83 , P. 4366 (4p.)
DOI 10.21105/joss.04366
Abstract

The resourcecode Marine Data Toolbox is a python package developed within the Resource- CODE project, to facilitate the access to a recently developed Metocean hindcast database (Accensi et al., 2021), and to a set of state-of-the-art methods for data analysis. This toolbox provides developers with a set of standard functions for resource assessment and operations planning. The advanced statistical modelling tools provided together with the embedded high resolution wave hindcast database provide the developers with a set of standard functions for resource assessment, extreme values modelling and operations and maintenance planning. Suitable for users not familiar with netCDF files handling or statistical analysis development, it is however designed to fulfil expert metocean analysis requirements. The advanced statistical modelling tools provided allow the developers of Offshore Renewable Energy (ORE) devices to conduct the necessary assessments to reduce uncertainty in expected environmental conditions, and de-risk investment in future technology design.

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Raillard Nicolas, Chabot Simon, Maisondieu Christophe, Darbynian David, Payne Gregory, Papillon Louis (2023). RESOURCECODE: A Python package for statistical analysis of sea-state hindcast data. Journal of Open Source Software, 8(83), 4366 (4p.). Publisher's official version : https://doi.org/10.21105/joss.04366 , Open Access version : https://archimer.ifremer.fr/doc/00829/94108/