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Data · dataset · 2026

CESM2 SMYLE

Listed in National Center for Atmospheric Research

SMYLE (Seasonal-to-MultiYear Large Ensemble) is an initialized prediction system using CESM2.

Description

It consists of fully coupled initialized hindcast simulations using CESM2 component models at nominal 1 degree horizontal resolution. Hindcasts are initialized from historical reconstructions (SMYLE-FOSI for ocean and sea-ice; SMYLE-landonly for land; and JRA55 reanalysis for atmosphere) and then integrated forward 24-months.

Initialization occurs quarterly (1st of each month of February, May, August, and November) for each year between 1970-2019. The ensemble size is 20 for each start date, with ensemble spread introduced through a random field perturbation applied to the atmospheric initial conditions. The SMYLE data release also includes the historical reconstructions used to initialize the ocean, sea ice, ocean biogeochemistry, and land components (SMYLE-FOSI and SMYLE-landonly).

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Inferred from text
Atmospheric sciences 68%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research324f25ef-f540-458f-95ba-5af4cadd6df59 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3701enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (68%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0