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SMYLE (Seasonal-to-MultiYear Large Ensemble) is an initialized prediction system using CESM2. It consists of fully coupled initialized hindcast simulations using CESM2 component models at nominal 1° 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).

Additional information:
Stephen Yeager
Jadwiga Richter
Kathleen Pegion
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UCAR/NCAR - Climate and Global Dynamics Laboratory

Related Activities
Project - CESM

Child Datasets

Date Created
2022-03-10 10:05:27
Date Last Updated
2022-06-14 16:58:30
Version Date Publisher Published State Source
1.0 2022-03-10 10:05:27 Teagan King Published