served from IRI/LDEO Climate Data Library
∫dT [ KAPLAN TPTGsm slsm_tptg32 ] anomalies
TPTGsm slsm_tptg32 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 1 Jan 1968) to (0000 1 Mar 2000) by 1.0 N= 387 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 TP and tide gauge stations assimilated by reduced space OS
- units
- 0.000833333333333333 meter year
- history
- Averaged over T2[16 Dec 1967 - 15 Dec 1968, 16 Dec 1998 - 15 Dec 1999] minimum 0.0% data present
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 | |
 $integral dT$ [ KAPLAN TPTGsm slsm_tptg32 ] anomalies[ 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