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root mean sq anom detrended-bfl ∫dT [ OLE2 CAM5 MENSUALES pr ] : Precipitation data
root mean sq anom detrended-bfl ∫dT [ OLE2 CAM5 MENSUALES pr ] .Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Dec 1994 - 1200 16 Jan 1995) (1200 16 Jan 1995 - 2400 14 Feb 1995) (0000 15 Feb 1995 - 1200 16 Mar 1995) ... (1200 16 Dec 2005 - 1200 16 Jan 2006)] N= 133 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (0.3125W) by 0.3125 N= 1152 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 0.2346806 N= 768 pts :grid
- Depth
- grid: /Z (m) ordered [ (0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- mm
- standard units*
- 0.001 meter
- history
- Averaged over M[1.0, 5.0]
Last updated: Mon, 21 Oct 2019 20:00:54 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | Z | |
 OLE2 CAM5 MENSUALES[pr
tas
] | ||||
 root mean sq anom detrended-bfl $integral dT$ [ OLE2 CAM5 MENSUALES pr ] 0 m[ X Y Z T |] | M | 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