served from IRI/LDEO Climate Data Library
∫dT ∫dT [ KAPLAN RSA_COADS_SLPold Ta ] : SLP RS KF analysis estimate data
RSA_COADS_SLPold Ta int_dT SLP RS KF analysis estimate from KAPLAN: Various datasets by Kaplan et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 16 Mar 1854) to (0000 16 Jan 1993) by 1.0 N= 1667 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
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- 0.694444444444444 kilogram meter-1 second-2 year2
- Version
- 2; June 96
- history
- Reduced space (80 EOFs) analysis of COADS SLP data
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 | |
 $integral dT$ $integral dT$ [ KAPLAN RSA_COADS_SLPold Ta ] [ X Y | T] | M | M | M |
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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