served from IRI/LDEO Climate Data Library
∫dX ∂T [ KAPLAN TPTGsm slsm_tptg32 ] : ∂T data
TPTGsm slsm_tptg32 partial_T ∂T from KAPLAN: Various datasets by Kaplan et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (16 Jan 1968 - 15 Feb 1968) to (16 Jan 2000 - 15 Feb 2000) by 1.0 N= 385 pts :grid
- Longitude
- grid: /X (degree_east) ordered (123E) to (79W) by 2.0 N= 80 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (28.5S) to (28.5N) by 0.5 N= 115 pts :grid
Other Info
- bufferwordsize
- 8
- 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
- 0.0020943951023932 meter radian east year-1
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 | |
 $integral dX$ $partialdiff sub T$ [ KAPLAN TPTGsm slsm_tptg32 ] [ 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