served from IRI/LDEO Climate Data Library
mean min min ∫dT [ IGOSS nmc Reyn_SmithOIv2 weekly sea_ice ] : Sea Ice Concentration data
weekly sea_ice sea_ice sea_ice sea_ice sea_ice int_dT min min Sea Ice Concentration from IGOSS nmc Reyn_SmithOIv2: SST fields updated from version 1 with more COADS data, new sea-ice to SST conversion algorithm, and 1971-2000 climatology. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- 864 second
- history
- min min $integral dT$ [ IGOSS nmc Reyn_SmithOIv2 weekly sea_ice ]
- min over X[1E, 0]
min over T[1200 8 Nov 1981 - 1200 15 Nov 1981, 1200 20 Nov 2019 - 1200 27 Nov 2019]
mean min min $integral dT$ [ IGOSS nmc Reyn_SmithOIv2 weekly sea_ice ]- Averaged over Y[89.5S, 89.5N]
- min over X[1E, 0]
References
Reynolds, R.W., N.A. Rayner, T.M. Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite SST Analysis for Climate. J. Climate, 15, 1609-1625.
Last updated: Mon, 02 Dec 2019 08:01:50 GMT
Expires: Mon, 09 Dec 2019 00:00:00 GMT
Data Views
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units