served from IRI/LDEO Climate Data Library
GISS AMIP SATEM anomalies anomalies: Surface Air Temperature data
SATEM SATEM Surface Air Temperature from GISS AMIP: The surface diagnostics from an atmospheric model simulation with AMIP boundary conditions..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1985) to (Dec 1988) by 1.0 N= 48 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 (90S) to (90N) by 4.0 N= 46 pts :grid
Other Info
- CE
- null
- CS
- null
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- GISS AMIP SATEM anomalies
Averaged over T2[1985, 1988]
- GISS AMIP SATEM anomalies climatology
- Averaged over T2[1985, 1988]
Averaged over T2[1985, 1988]
- Averaged over T2[1985, 1988]
- GISS AMIP SATEM anomalies
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 GISS AMIP SATEM 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