served from IRI/LDEO Climate Data Library
∫dY [ GOSTA atlas7 MOHSST5 ssta anomalies ]: sea surface temperature anomaly data
MOHSST5 ssta ssta sea surface temperature anomaly from GOSTA atlas7: Global Ocean Surface Temperature Atlas 7.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1856) to (Dec 1991) by 1.0 N= 1632 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (177.5W) to (177.5E) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 5.0 N= 37 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0174532925199433 degree_Kelvin radian north
- history
- Averaged over T2[1856, 1991] minimum 0.0% data present
References
Bottomley, M., Folland, C.K., Hsiung, J., Newell, R.E., Parker, D.E., 1990, Global Ocean Surface Temperature Atlas
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ [ GOSTA atlas7 MOHSST5 ssta 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