served from IRI/LDEO Climate Data Library
KAPLAN RSA_COADS_SLP1 OI slpa climatology: SLP anomaly data
slpa SLP anomaly from KAPLAN RSA_COADS_SLP1 OI: Optimal Interpolation.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Apr) to (Mar) by 1.0 N= 12 pts :grid
- longitude
- grid: /X (degree_east) periodic (2E) to (2W) by 4.0 N= 90 pts :grid
- latitude
- grid: /Y (degree_north) ordered (88S) to (88N) by 4.0 N= 45 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- units
- mb
- Version
- 2; Sep 97
- standard units*
- 100 kilogram meter-1 second-2
- history
- KAPLAN RSA_COADS_SLP1 OI slpa climatology
- Reduced space (80 EOFs) analysis of COADS SLP data
Averaged over T2[Apr 1854 - Mar 1855, Apr 1991 - Mar 1992] minimum 0.0% data present
- Reduced space (80 EOFs) analysis of COADS SLP data
References
Kaplan A., Y. Kushnir, M.A. Cane, 2000: Reduced space optimal interpolation of historical marine sea level pressure, J. Climate, 13, 2987-3002.
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 | |
 KAPLAN RSA_COADS_SLP1 OI slpa climatology[ 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