FN Archimer Export Format
PT J
TI RESOURCECODE: A Python package for statistical analysis of sea-state hindcast data
BT 
AF RAILLARD, Nicolas
   Chabot, Simon
   MAISONDIEU, Christophe
   Darbynian, David
   Payne, Gregory
   Papillon, Louis
AS 1:1;2:2;3:1;4:3;5:4,5;6:6;
FF 1:PDG-REM-RDT-LHYMAR;2:;3:PDG-REM-RDT-LHYMAR;4:;5:;6:;
C1 Ifremer, RDT, F-29280 Plouzané, France
   Logilab, Paris, France
   EMEC, Orkney, UK
   LHEEA, Ecole Centrale de Nantes and CNRS (UMR6598), 1 rue de la Noë, 44300 Nantes, France
   LHEEA, Ecole Centrale de Nantes and CNRS (UMR6598), 1 rue de la Noë, 44300 Nantes, France
   Innosea, Nantes, France
C2 IFREMER, FRANCE
   LOGILAB, FRANCE
   EMEC, UK
   ECOLE CENT NANTES, FRANCE
   CNRS, FARNCE
   INNOSEA, FRANCE
SI BREST
SE PDG-REM-RDT-LHYMAR
IN DOAJ
TC 0
UR https://archimer.ifremer.fr/doc/00829/94108/101242.pdf
LA English
DT Article
AB 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. 
PY 2023
PD MAR
SO Journal of Open Source Software
SN 2475-9066
PU Open Journals
VL 8
IS 83
DI 10.21105/joss.04366
ID 94108
ER

EF