served from IRI/LDEO Climate Data Library
∫dT [ COADS mean slp ] climatology: sea level pressure data
slp int_dT sea level pressure from COADS mean: Monthly average data for gridbox.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :grid
- Longitude
- grid: /X (degree_east) periodic (1E) to (1W) by 2.0 N= 180 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- precision
- 0.01
- units
- 8.33333333333333 kilogram meter-1 second-2 year
- history
- Averaged over T2[16 Dec 1853 - 15 Dec 1854, 16 Dec 1991 - 15 Dec 1992] minimum 0.0% data present
References
R. J. Slutz, S. J. Lubker, J. D. Hiscox, S. D. Woodruff, R. L. Jenne, D. H. Joseph, P. M. Steuer, J. D. Elms. Comprehensive Ocean-Atmosphere Data Set: Release 1, number 268 pp., 1985
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 | |
 $integral dT$ [ COADS mean slp ] climatology[ 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