served from IRI/LDEO Climate Data Library
∂T [ ∂Y ( IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ) anomalies ] anomalies: ∂T ∂Y Sea Ice Concentration data
monthly sea_ice sea_ice partial_Y partial_Y partial_T ∂T ∂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 1960-01-01) ordered (Dec 1981) to (Dec 2022) by 1.0 N= 493 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89S) to (89N) by 1.0 N= 179 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_ice_area_fraction
- units
- 6.87549354156988 radian-1 north year-1
- history
- $partialdiff sub T$ [ $partialdiff sub Y$ ( IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ) anomalies ]
Averaged over T2[16 Nov 1981 - 15 Nov 1982, 16 Nov 2021 - 15 Nov 2022] minimum 0.0% data present
- $partialdiff sub T$ [ $partialdiff sub Y$ ( 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[Dec 1981 - Nov 1982, Dec 2021 - 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
- $partialdiff sub T$ [ $partialdiff sub Y$ ( IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ) anomalies ]
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 18:05:36 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ [ $partialdiff sub Y$ ( IGOSS nmc Reyn_SmithOIv2 monthly sea_ice ) anomalies ] anomalies[ X Y | T] | M | M | M |
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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