served from IRI/LDEO Climate Data Library
∫dX [ CLIMAP LGM feb sst ]: sea surface temperature data
feb sst sea surface temperature from CLIMAP LGM: Last glacial maximum (18 KBP) soil and vegetation characteristics from the World Data Center for Paleoclimatology.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (179E) to (179E) by 2.0 N= 181 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.0 N= 91 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- [ -99.900002 -55.5 -44.400002 55.5 ]
- missing_value
- NaN
- units
- degree_east
- standard units*
- 0.0174532925199433 radian east
References
CLIMAP Project Members, 1984. The last interglacial ocean. Quat. Res. 21: 123-224.
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| X | Y | |
 $integral dX$ [ CLIMAP LGM feb sst ][ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units