served from 129.236.110.25
root mean sq anom mean ∫dT [ OLE2 CAM5 MENSUALES pr ] : Precipitation data
root mean sq anom mean ∫dT [ OLE2 CAM5 MENSUALES pr ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1995) to (0000 1 Jan 2006) by 1.0 N= 133 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
- 9.64506172839506×10-10 meter second-1 year
- history
- root mean sq anom mean $integral dT$ [ OLE2 CAM5 MENSUALES pr ]
- Averaged over X[0.15625W, 0.15625W]
Averaged over M[1.5, 4.5]
- Averaged over X[0.15625W, 0.15625W]
Last updated: Mon, 21 Oct 2019 20:00:54 GMT
Data Views
Views
data as colors
data as contours| T | Y | Z | |
 root mean sq anom mean $integral dT$ [ OLE2 CAM5 MENSUALES pr ] 0 m[ Y Z 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units