served from IRI/LDEO Climate Data Library
∫dT [ IGOSS sio monthly heat_storage anomalies ]: Heat Storage Anomalies data
anomalies Heat Storage Anomalies from IGOSS sio monthly heat_storage: Monthly heat storage data from Scripps Institution of Oceanography.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered [ (0000 1 Jan 1994) (0000 1 Mar 1994) (0000 1 May 1994) ... (0000 1 Jan 2004)] N= 102 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (30E) to (25E) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (60N) to (60S) by 2.0 N= 61 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 0.25
- colorscalename
- custom
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99999962E35
- missing_value
- NaN
- units
- 83333333.3333333 kilogram second-2 year
- history
- $integral dT$ [ IGOSS sio monthly heat_storage anomalies ]
- Vertically averaged (0/400m) heat storage anomaly. 1979-1988 climatology
Last updated: Mon, 16 Feb 2015 21:51:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ [ IGOSS sio monthly heat_storage 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