served from IRI/LDEO Climate Data Library
GISS SCENARIO-A ssta anomalies: Sea Surface Temperature Anomalies data
SCENARIO-A ssta Sea Surface Temperature Anomalies from GISS: Goddard Institute for Space Studies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 0001BC) to (Dec 0099) by 1.0 N= 1200 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (129.375E) to (84.375W) by 5.625 N= 27 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (19N) to (19S) by 2.0 N= 20 pts :grid
Other Info
- CE
- null
- CS
- null
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- GISS SCENARIO-A ssta
10 year mean anomalies from giss A scenario simulation.
- GISS SCENARIO-A ssta climatology
- 10 year mean anomalies from giss A scenario simulation.
Averaged over T2[0001BC, 0099]
- 10 year mean anomalies from giss A scenario simulation.
- GISS SCENARIO-A ssta
Last updated: Mon, 12 Sep 2016 21:13:53 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 GISS SCENARIO-A ssta anomalies[ Y X | 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 Y X T
- Differentiate along Y X T
- Take differences along Y X T
RMS (root mean square with mean *not* removed) over Y X T | Y X Y T X T | Y X T |
RMSA (root mean square with mean removed) over Y X T | Y X Y T X T | Y X T |
Maximum over Y X T | Y X Y T X T | Y X T |
Minimum over Y X T | Y X Y T X T | Y X T |
Detrend (best-fit-line) over Y X T | Y X Y T X T | Y X T |
Note on units