served from IRI/LDEO Climate Data Library
∂X [ COADS mean slp ] anomalies: ∂X sea level pressure data
slp partial_X ∂X sea level pressure from COADS mean: Monthly average data for gridbox.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Dec 1992) by 1.0 N= 1668 pts :grid
- Longitude
- grid: /X (degree_east) periodic (0) to (2W) 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
- 5729.57795130823 kilogram meter-1 radian-1 east second-2
- history
- Averaged over T2[1854, 1992] minimum 0.0% data present
References
Slutz_etal1985Last updated: Mon, 12 Sep 2016 21:27:21 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub X$ [ COADS mean slp ] 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