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Data · dataset · 2021

Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the convective atmospheric boundary layer: data

Listed in Columbia University Academic Commons

This dataset is used for the paper “Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the convective atmospheric boundary layer”.

Description

The dataset contains velocity and subgrid-scale stresses from direct numerical simulations of convective atmospheric boundary layer. Detailed introduction of the dataset can be found in the corresponding paper.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
Columbia University Academic Commonsoai:academiccommons.columbia.edu:10.7916/d8-y850-6w3519 h agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · academiccommons columbia educonnector:academiccommons_columbia_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · academiccommons columbia educonnector:academiccommons_columbia_edu@1.0.0
descriptionsource · academiccommons columbia educonnector:academiccommons_columbia_edu@1.0.0/metadata/dc/description
publication_datesource · academiccommons columbia educonnector:academiccommons_columbia_edu@1.0.0
titlesource · academiccommons columbia educonnector:academiccommons_columbia_edu@1.0.0/metadata/dc/title