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root mean sq anom root mean sq ∫dT [ OLE2 CAM5 MENSUALES pr anomalies ] : Precipitation data
root mean sq anom root mean sq ∫dT [ OLE2 CAM5 MENSUALES pr anomalies ] .Independent Variables (Grids)
- 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
- root mean sq $integral dT$ [ OLE2 CAM5 MENSUALES pr anomalies ] 5.0
- Averaged over T2[1995, 2005]
Averaged over T[0001 20 Jul 1995, 2400 17 Aug 2006]
root mean sq anom root mean sq $integral dT$ [ OLE2 CAM5 MENSUALES pr anomalies ]- Averaged over M[1.0, 5.0]
- Averaged over T2[1995, 2005]
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| X | Y | Z | |
 OLE2 CAM5 MENSUALES[pr
tas
] | |||
 root mean sq anom root mean sq $integral dT$ [ OLE2 CAM5 MENSUALES pr anomalies ] 0 m[ X Y Z |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units