served from IRI/LDEO Climate Data Library
∫dX [ ∂Y ∂Y ( IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ) anomalies climatology ]: ∂Y ∂Y Sea Ice Concentration data
monthly sea_ice sea_ice partial_Y partial_Y partial_Y partial_Y ∂Y ∂Y 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.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Nov - 15 Dec) to (16 Oct - 15 Nov) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0) to (0) by 1.0 N= 361 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.5S) to (88.5N) by 1.0 N= 178 pts :grid
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
- $integral dX$ [ $partialdiff sub Y$ $partialdiff sub Y$ ( IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ) anomalies climatology ]
- Averaged over T2[16 Nov 1981 - 15 Nov 1982, 16 Nov 2021 - 15 Nov 2022] minimum 0.0% data present
Averaged over T2[16 Nov 1981 - 15 Nov 1982, 16 Nov 2021 - 15 Nov 2022] minimum 0.0% data present
- Averaged over T2[16 Nov 1981 - 15 Nov 1982, 16 Nov 2021 - 15 Nov 2022] 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
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dX$ [ $partialdiff sub Y$ $partialdiff sub Y$ ( IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ) anomalies climatology ][ X Y T |] | M | M | M |
|---|
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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units