served from IRI/LDEO Climate Data Library
∫dT [ KAPLAN RSA_COADS_SLPold Nobs ] climatology: Number of independent obs for 4x4 box data
RSA_COADS_SLPold Nobs int_dT Number of independent obs for 4x4 box from KAPLAN: Various datasets by Kaplan et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (0000 1 Apr) to (0000 1 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
- dimensionless months
- Version
- 2; June 96
- history
- $integral dT$ [ KAPLAN RSA_COADS_SLPold Nobs ] climatology
- Reduced space (80 EOFs) analysis of COADS SLP data
Averaged over T2[16 Mar 1854 - 15 Mar 1855, 16 Mar 1991 - 15 Mar 1992] minimum 0.0% data present
- Reduced space (80 EOFs) analysis of COADS SLP data
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 | |
 $integral dT$ [ KAPLAN RSA_COADS_SLPold Nobs ] climatology[ 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