variables record: seaIce.ts.tavg-u-hxy-si.mon.30S-90S (v1.2.2.2)

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Category Description

Each Output variable record corresponds to a physical parameter specification.



AttributeValue
branded_variable_namets_tavg-u-hxy-si
cell_measuresarea: areacello
cell_methodsamnsi-twm (Weighted Time Mean on Sea-Ice)
cmip6_compound_nameSImon.sitemptopSouth30
cmip6_frequencymon
cmip6_tables_identifierSImon (Monthly sea-ice data)
cmip7_compound_nameseaIce.ts.tavg-u-hxy-si.mon.30S-90S
cmip7_frequencymon
conditionalTrue
descriptionMean surface temperature of the sea-ice covered part of the grid cell. Wherever snow covers the ice, the surface temperature of the snow is used for the averaging, otherwise the surface temperature of the ice is used.
dimensionslongitude, latitude, time
disambiguationSouth30
modelling_realmSea Ice
nameseaIce.ts.tavg-u-hxy-si.mon.30S-90S
physical_parametersitemptop (Surface Temperature of Sea Ice)
primary_modelling_realmSea Ice
processing_noteNote that SIMIP requests the area-weighted average for all intensive variables (i.e., variables that are not proportional to area fraction such as albedo, temperature, or heat flux). Hence, all time samples with non-zero sea-ice fraction are first multiplied by area fraction, then summed, and then divided by the sum of the area fractions. See Appendix C of Notz et al. (2016) for more detail. CHANGE SINCE CMIP6 in Cell Methods - CMIP6:area: time: mean where sea\_ice (comment: mask=siconc) CMIP7:area: time: mean where sea\_ice (mask=siconc), This is a regional subset of the variable. If you are producing the global equivalent of SImon.sitemptopSouth30, you should omit this regional South30 version.
provenanceSIMIP [seaicemon]
region30S-90S
spatial_shapeXY-na (Global field (single level))
temporal_shapetime-intv (Temporal Interval)
titleSurface Temperature of Sea Ice
typereal
uidseaIce.ts.tavg-u-hxy-si.mon.30S-90S

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