served from IRI/LDEO Climate Data Library
root mean sq ∂X root mean sq [ IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ] : ∂X Sea Ice Concentration data
monthly sea_ice sea_ice partial_X ∂X 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
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_ice_area_fraction
- units
- 0.572957795130823 radian-1 east
- history
- root mean sq $partialdiff sub X$ root mean sq [ IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ]
- Averaged over T[Nov 1981, Jan 2023] minimum 0.0% data present
Averaged over X[0.5W, 0.5W] Y[90S, 90N] minimum 0.0% data present
- Averaged over T[Nov 1981, Jan 2023] minimum 0.0% data present
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: Wed, 22 Mar 2023 18:04:56 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