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
- 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
- sigma_T_mad_feb2013.bin
- sigma_T_nov2015.bin (latest, used in MITprof))

Non-seasonal salinity standard deviation :

- sigma_S_eccollc.bin
- sigma_S_mad_feb2013.bin
- sigma_S_nov2015.bin (latest, used in MITprof)