served from IRI/LDEO Climate Data Library
∫dT ∫dT [ KAPLAN TPsm slsm_tp32 ]
TPsm slsm_tp32 int_dT int_dT from KAPLAN: Various datasets by Kaplan et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 16 Dec 1974) to (0000 16 Mar 2000) by 1.0 N= 304 pts :grid
- Longitude
- grid: /X (degree_east) ordered (124E) to (80W) by 2.0 N= 79 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (28.5S) to (28.5N) by 0.5 N= 115 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- title
- Sea Level anomaly field of CP model with data from tide gauge stations assimilated by reduced space OS
- units
- 6.94444444444444×10-05 meter year2
Last updated: Mon, 12 Sep 2016 21:11:41 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ $integral dT$ [ KAPLAN TPsm slsm_tp32 ] [ X Y | T] | M | M | M |
|---|
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