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Climate model uncertainty quantification

LICENCE
Creative Commons CCZero (CC0-1.0), Open Data Commons Public Domain Dedication and Licence (PDDL-1.0)
DOMAIN
Science and Technology
COVERAGE
EU-wide
FORMATS
ARFF, CSV, JSON, RDF, XLS / XLSX
PERSONAL DATA PROTECTION
No personal data
* Please note that the classification is taken from the original source
This dataset contains records of simulation crashes encountered during climate model uncertainty quantification (UQ) ensembles. Ensemble members were constructed using a Latin hypercube method in LLNL's UQ Pipeline software system to sample the uncertainties of 18 model parameters within the Parallel Ocean Program (POP2) component of the Community Climate System Model (CCSM4). Three separate Latin hypercube ensembles were conducted, each containing 180 ensemble members. 46 out of the 540 simulations failed for numerical reasons at combinations of parameter values. The goal is to use classification to predict simulation outcomes (fail or succeed) from input parameter values, and to use sensitivity analysis and feature selection to determine the causes of simulation crashes. Further details about the data and methods are given in the publication 'Failure Analysis of Parameter-Induced Simulation Crashes in Climate Models,' Geoscientific Model Development
Disclaimer: This data is provided by a third party. The DIH identifying this data has no responsibility for its content. Please check the provided link to the data for license terms and potential usage restrictions. In case personal data is included in the dataset, the third party who provides the dataset is the data controller of such personal data. Please note that if you use the datasets for your own purposes, you become an independent data controller and are solely responsible for your compliance with relevant data protection laws relating to the processing and security of personal data, with particular reference, but not limited to, the provisions of the General Data Protection Regulation (GDPR), as applicable to the personal data included in the data.

DATA IDENTIFIED/OFFERED BY

Know Center Logo
MEMBER
Know-Center
TYPE
DIH
COUNTRY
Austria

MORE INFORMATION ABOUT THIS DATASET

PRIVACY POLICY

Data Controller: INSTITUTO TECNOLÓGICO DE INFORMÁTICA (G96278734)
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