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Canonical Workflows in Simulation-based Climate Sciences

Data Intelligence 2022年第2期4卷 212-225页

作者： ivonne anders Karsten Peters-von Gehlen Hannes Thiemann German Climate Computing Center(DKRZ) BundesstraBe 45aD-20146 HamburgGermany

In this paper we present the derivation of Canonical Workflow Modules from current workflows in simulation-based climate science in support of the elaboration of a corresponding framework for simulationbased *** first identified the different users and user groups in simulation-based climate science based on their reasons for using the resources provided at the German Climate Computing Center(DKRZ).What is special about this is that the DKRZ provides the climate science community with resources like high performance computing(HPC),data storage and specialised services,and hosts the World Data Center for Climate(WDCC).Therefore,users can perform their entire research workflows up to the publication of the data on the same *** analysis shows,that the resources are used by two primary user types:those who require the HPC-system to perform resource intensive simulations to subsequently analyse them and those who reuse,build-on and analyse existing *** then further subdivided these top-level user categories based on their specific goals and analysed their typical,idealised workflows applied to achieve the respective project *** find that due to the subdivision and further granulation of the user groups,the workflows show apparent ***,similar"Canonical Workflow Modules"can be clearly made *** modules are"Data and Software(Re)use","Compute","Data and Software Storing","Data and Software Publication","Generating Knowledge"and in their entirety form the basis for a Canonical Workflow Framework for Research(CWFR).It is desirable that parts of the workflows in a CWFR act as FDOs,but we view this aspect ***,we reflect on the question whether the derivation of Canonical Workflow modules from the analysis of current user behaviour still holds for future systems and work processes.

关键词： Canonical Workflow Fair Digital Objects HPC infrastructures Data services Climate science

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