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∂M root mean sq anom mean [ OLE2 CAM5 MENSUALES pr ] : ∂M Precipitation data
∂M root mean sq anom mean [ OLE2 CAM5 MENSUALES pr ] .Independent Variables (Grids)
- M
- grid: /M (unitless) ordered (1.5) to (4.5) by 1.0 N= 4 pts :grid
- Depth
- grid: /Z (m) ordered [ (0)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- pointwidth
- 1.0
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- $partialdiff sub M$ root mean sq anom mean [ OLE2 CAM5 MENSUALES pr ]
- Averaged over Y[90.11734S, 90.11734N] T[Jan 1995, 2400 31 Dec 2005]
Averaged over X[0, 0.3125W]
- Averaged over Y[90.11734S, 90.11734N] T[Jan 1995, 2400 31 Dec 2005]
Last updated: Mon, 21 Oct 2019 20:00:54 GMT
Data Views
Views
line plots
color bars
scatter| M | Z | |
 OLE2 CAM5 MENSUALES[pr
tas
] | ||
 $partialdiff sub M$ root mean sq anom mean [ OLE2 CAM5 MENSUALES pr ] 0 m[ 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 M
- Differentiate along M
- Take differences along M
RMS (root mean square with mean *not* removed) over M |
RMSA (root mean square with mean removed) over M |
Maximum over M |
Minimum over M |
Detrend (best-fit-line) over M |
Note on units