served from IRI/LDEO Climate Data Library
∂Y ∂Y [ KAPLAN TPTGsm slsm_tptg32 ] : ∂Y ∂Y data
TPTGsm slsm_tptg32 partial_Y ∂Y ∂Y from KAPLAN: Various datasets by Kaplan et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1968) to (Feb 2000) by 1.0 N= 386 pts :grid
- Longitude
- grid: /X (degree_east) ordered (124E) to (80W) by 2.0 N= 79 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (28S) to (28N) by 0.5 N= 113 pts :grid
Other Info
- datatype
- realarraytype
- 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
- 32.8280635001174 meter radian-2 north
Last updated: Mon, 12 Sep 2016 21:11:40 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ $partialdiff sub Y$ [ 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