variables record: seaIce.snd.tavg-u-hxy-sn.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_namesnd_tavg-u-hxy-sn
cell_measuresarea: areacello
cell_methodsamnsnsi-twm
cmip6_compound_nameSImon.sisnthickSouth30
cmip6_frequencymon
cmip6_tables_identifierSImon (Monthly sea-ice data)
cmip7_compound_nameseaIce.snd.tavg-u-hxy-sn.mon.30S-90S
cmip7_frequencymon
conditionalTrue
descriptionActual thickness of snow averaged over the snow-covered part of the sea ice. This thickness is usually directly available within the model formulation. It can also be derived by dividing the total volume of snow by the area of the snow.
dimensionslongitude, latitude, time
disambiguationSouth30
modelling_realmSea Ice
nameseaIce.snd.tavg-u-hxy-sn.mon.30S-90S
physical_parametersisnthick (Snow Thickness)
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: mean where snow over sea\_ice area: time: mean where sea\_ice CMIP7:area: time: mean where snow (for snow on sea ice only), This is a regional subset of the variable. If you are producing the global equivalent of SImon.sisnthickSouth30, you should omit this regional South30 version.
provenanceSIMIP [seaicemon]
region30S-90S
spatial_shapeXY-na (Global field (single level))
temporal_shapetime-intv (Temporal Interval)
titleSnow Thickness
typereal
uidseaIce.snd.tavg-u-hxy-sn.mon.30S-90S

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