served from IRI/LDEO Climate Data Library
∂Y [ KAPLAN RSA_COADS_SLP1 OI slpa ]: ∂Y SLP anomaly data
slpa ∂Y SLP anomaly from KAPLAN RSA_COADS_SLP1 OI: Optimal Interpolation.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Apr 1854) to (Dec 1992) by 1.0 N= 1665 pts :grid
- longitude
- grid: /X (degree_east) periodic (2E) to (2W) by 4.0 N= 90 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (86S) to (86N) by 4.0 N= 44 pts :grid
Other Info
- datatype
- realarraytype
- missing_value
- NaN
- units
- 5729.57795130823 kilogram meter-1 radian-1 north second-2
- Version
- 2; Sep 97
- history
- 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: 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 | |
 $partialdiff sub Y$ [ KAPLAN RSA_COADS_SLP1 OI slpa ][ 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