Mean and standard deviation climatologies for T & S (for use in e.g. MITprof & ECCO)

All variables are gridded on the 50 levels and lat-lon-cap (LLC90) grid defined in in the ECCO Version 4 paper (https://doi.org/10.5194/gmd-8-3071-2015) 1. Monthly climatologies of potential temperature and salinity, blended as described in https://doi.org/10.5194/gmd-8-3071-2015 : - T_OWPv1_M_eccollc_90x50.bin<br> - S_OWPv1_M_eccollc_90x50.bin 2. Ocean basin masks : basin_masks_eccollc_90x50.bin 3. Non-seasonal standard deviation climatologies, which is used in MITprof as an estimate of representation error for data sets that do not resolve the mess-scale and below (see https://doi.org/10.1175/JPO3072.1 ) e.g. in ECCO v4 for the MITprof insitu data constraints (see https://doi.org/10.5194/gmd-8-3071-2015). These global, time-mean, maps are updated versions of the Forget and Wunsch estimate (https://doi.org/10.1175/JPO3072.1). The latest ones are based on median absolute deviations computed at different resolutions and rescaled according to theory for normal distributions. Non-seasonal temperature standard deviation : - sigma_T_eccollc.bin<br> - sigma_T_mad_feb2013.bin<br> - sigma_T_nov2015.bin (latest, used in MITprof)) Non-seasonal salinity standard deviation : - sigma_S_eccollc.bin<br> - sigma_S_mad_feb2013.bin<br> - sigma_S_nov2015.bin (latest, used in MITprof)