served from IRI/LDEO Climate Data Library
∂T detrended-bfl [ GISS SCENARIO-A ssta ] : ∂T Sea Surface Temperature Anomalies data
SCENARIO-A ssta adif ∂T Sea Surface Temperature Anomalies from GISS: Goddard Institute for Space Studies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 0001BC - 15 Feb 0001BC) to (16 Nov 0099 - 15 Dec 0099) by 1.0 N= 1199 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
- datatype
- realarraytype
- units
- 12 degree_Kelvin year-1
- history
- 10 year mean anomalies from giss A scenario simulation.
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 | |
 $partialdiff sub T$ detrended-bfl [ GISS SCENARIO-A ssta ] [ 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