Effects of oceanic intrinsic processes on the mean seasonal cycle in sea level

This data set contains annual and semiannual cycles in sea level computed globally over 1993-2015 from the OCCIPUT ensemble hindcast. These fields are studied in the paper “Effects of oceanic intrinsic processes on the mean seasonal cycle in sea level”. These maps come from the OceaniC Chaos – ImPacts, structure, predictability (OCCIPUT) ensemble of 1/4° ocean/sea-ice simulations (Penduff et al., 2014; Bessières et al., 2017). This ensemble consists of 50 global hindcasts at ¼° horizontal resolution performed over 1960-2015. The configuration is based on the NEMO 3.5 model and implemented on an eddy-permitting quasi-isotropic horizontal mesh whose grid spacing is about 27 km at the equator and decreases poleward. The 50 members are initialized on January 1st 1960 from the final state of a 21-year one-member spinup. A small stochastic perturbation is applied within each ensemble member during the first year (1960) and switched off at the end of 1960, yielding 50 different oceanic states on January 1st 1961. Each member is then integrated until the end of 2015 with the same atmospheric forcing (DSF5.2) based on the ERA-Interim atmospheric reanalysis. We therefore obtain an ensemble of 50 simulations with the same numerical model and forcing, but different initial conditions. See Llovel (2018) for details. References LLOVEL William. (2018). Sea level trends over 1993-2015 and 2005-2015 from the OCCIPUT ensemble simulation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1487983 Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G., 2017: Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091-1106, doi:10.5194/gmd-10-1091-2017 Penduff, T., Barnier, B., Terray, L., Bessières, L., Sérazin, G., Gregorio, S., Brankart, J., Moine, M., Molines, J., and Brasseur, P.: Ensembles of eddying ocean simulations for climate, CLIVAR Exchanges, Special Issue on High Resolution Ocean Climate Modelling, 19, 2014