served from IRI/LDEO Climate Data Library
KAPLAN RSA_COADS_SLP1 obs Nobs anomalies: Number of obs inside 4x4 box data
Nobs Number of obs inside 4x4 box from KAPLAN RSA_COADS_SLP1 obs: COADS data for 4x4 boxes.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 (88S) to (88N) by 4.0 N= 45 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- units
- dimensionless
- Version
- 2; Sep 97
- history
- KAPLAN RSA_COADS_SLP1 obs Nobs
COADS observations
- KAPLAN RSA_COADS_SLP1 obs Nobs climatology
- COADS observations
Averaged over T2[Apr 1854 - Mar 1855, Apr 1991 - Mar 1992] minimum 0.0% data present
- COADS observations
- KAPLAN RSA_COADS_SLP1 obs Nobs
References
Kaplan_etal2000Last 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 obs Nobs anomalies[ 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