served from IRI/LDEO Climate Data Library
∫dX ∂Y [ PELTIER ice ] : ∂Y data
ice partial_Y ∂Y from PELTIER: Ice age paleotopography from a gravitationally self-consistent theory.Independent Variables (Grids)
- Time
- grid: /T (KBP) ordered (21.0 KBP) to (0.0 KBP) by 1.0 N= 22 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (180W) to (180) by 1.0 N= 361 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89N) to (89S) by 1.0 N= 179 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- units
- unitless
References
Peltier, W. R., Ice Age Paleotopography, 1994, Science, v. 265, pp. 195-201.
Last updated: Tue, 19 May 2015 19:17:47 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dX$ $partialdiff sub Y$ [ PELTIER ice ] [ 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