served from IRI/LDEO Climate Data Library
∂Y [ KAPLAN RSA_MOHSST5 Nobs ]: ∂Y Number of observations data
∂Y ∂Y Number of observations: Number of observations for 5x5 boxes used in the RS analysis.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1856) to (Dec 1991) by 1.0 N= 1632 pts :grid
- Longitude
- grid: /X (degree_east) periodic (30E) to (25E) by 5.0 N= 72 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (85S) to (85N) by 5.0 N= 35 pts :grid
Other Info
- datatype
- realarraytype
- missing_value
- NaN
- units
- dimensionless /degree_north
- Version
- 2; June 96
- history
- Reduced space (80 EOFs) analysis of MOHSST5 data
References
Kaplan, A., M. Cane, Y. Kushnir, A. Clement, M. Blumenthal, and B. Rajagopalan, Analyses of global sea surface temperature 1856-1991, Journal of Geophysical Research, 103, 18,567-18,589, 1998
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 | |
 $partialdiff sub Y$ [ KAPLAN RSA_MOHSST5 Nobs ][ 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