Cross-spectral analysis of the sea surface temperature 10-m wind speed coupling resolved by satellite products and climate model simulations

This dataset contains sea surface temperature (SST), wind stress, and equivalent-neutral 10-m wind velocity outputs from two numerical experiments conducted with the National Center for Atmospheric Research (NCAR) Community Climate System Model Version 4 (CCSM4), run using horizontal ocean resolutions of 1° (LR, eddy-parameterized) and 0.1° (HR, eddy-resolving). More specifically, the CCSM4 is a global climate simulation model composed of the Community Land Model (CLM), the Community Atmospheric Model (CAM), the Los Alamos Parallel Ocean Program (POP) ocean general circulation model, and the Community Ice Code (CICE), that exchange state information and fluxes via a coupler. The HR and LR experiments are performed using atmospheric models configured to the same 0.5° x 0.625° latitude/longitude grid, but ocean models of contrasting horizontal resolutions. In LR, the ocean component uses an asymmetric dipolar grid with zonal resolution of 1.125°, and meridional resolution increasing from 0.27° near the equator until a maximum of 0.54° at midlatitudes, unable to resolve baroclinic instability processes and mesoscale ocean eddies, while the HR uses a tripolar ocean grid with a ~0.1° resolution that allows eddy formation and evolution. The LR (HR) experiment is initialized from a 255-year (155-year) control run with fixed 1990 C02 forcing, where fluxes at the air-sea interface are calculated at 3-hour (6-hour) intervals using state variables from the atmospheric model linearly interpolated onto the oceanic grid. The updated fluxes are then conservatively remapped to the native grid of each CCSM4 component model, and used in the integration of the subsequent time step. The LR and HR are both integrated for a period of 14 years, with daily-averaged outputs saved every 2 and 5 days, respectively. This dataset holds zonal-temporal diagrams of SST and wind stress retrieved from the atmospheric grid, also including estimates of the equivalent-neutral 10-m wind velocity vector computed from the model's wind stress data. The simulations were performed using computational resources provided by the Climate Simulation Laboratory at NCAR's Computational and Information Systems Laboratory, and by the University of Miami Center for Computational Science.