served from IRI/LDEO Climate Data Library
∂T [ KAPLAN RSA_COADS_SLPold ers ] climatology: ∂T SLP RS OS error data
RSA_COADS_SLPold ers partial_T ∂T SLP RS OS error from KAPLAN: Various datasets by Kaplan et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (16 Mar 1960 - 15 Apr 1960) to (16 Feb 1961 - 15 Mar 1961) 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
- 1200 kilogram meter-1 second-2 year-1
- Version
- 2; June 96
- history
- $partialdiff sub T$ [ KAPLAN RSA_COADS_SLPold ers ] 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 | |
 $partialdiff sub T$ [ KAPLAN RSA_COADS_SLPold ers ] 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