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

<p>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)</p> <p>1. Monthly&nbsp;climatologies of potential temperature&nbsp;and salinity, blended as described in&nbsp;https://doi.org/10.5194/gmd-8-3071-2015 :</p> <p>- T_OWPv1_M_eccollc_90x50.bin<br> - S_OWPv1_M_eccollc_90x50.bin</p> <p>2. Ocean basin masks : basin_masks_eccollc_90x50.bin</p> <p>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&nbsp;https://doi.org/10.1175/JPO3072.1 ) e.g. in ECCO v4&nbsp;for the MITprof insitu data constraints&nbsp;(see https://doi.org/10.5194/gmd-8-3071-2015).&nbsp;</p> <p>These global, time-mean, maps&nbsp;are updated versions of the Forget and Wunsch estimate (https://doi.org/10.1175/JPO3072.1). The latest ones are based on&nbsp;median absolute deviations computed at different resolutions and rescaled according to&nbsp;theory for normal distributions.</p> <p>Non-seasonal&nbsp;temperature&nbsp;standard deviation :</p> <p>- sigma_T_eccollc.bin<br> - sigma_T_mad_feb2013.bin<br> - sigma_T_nov2015.bin (latest,&nbsp;used in MITprof))</p> <p>Non-seasonal&nbsp;salinity standard deviation :</p> <p>- sigma_S_eccollc.bin<br> - sigma_S_mad_feb2013.bin<br> - sigma_S_nov2015.bin (latest, used in MITprof)</p> <p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4