served from 129.236.110.25
mean [ mean ( OLE2 CAM5 MENSUALES tas ) anomalies ]: Near-Surface Air Temperature data
mean [ mean ( OLE2 CAM5 MENSUALES tas ) anomalies ]. isIndependent Variables (Grids)
- Depth
- grid: /Z (m) ordered [ (0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- mean [ OLE2 CAM5 MENSUALES tas ]
Averaged over X[0.15625W, 0.15625W] Y[90.11734S, 90.11734N]
- mean [ OLE2 CAM5 MENSUALES tas ] climatology
- Averaged over X[0.15625W, 0.15625W] Y[90.11734S, 90.11734N]
Averaged over T2[1995, 2005]
- Averaged over X[0.15625W, 0.15625W] Y[90.11734S, 90.11734N]
- Averaged over T[1201 19 Jul 1995 - 1201 20 Jul 1995, 2400 17 Aug 2006] M[0.5, 5.5]
- mean [ OLE2 CAM5 MENSUALES tas ]
Last updated: Mon, 21 Oct 2019 20:00:54 GMT
Data Views
| Z | |
 OLE2 CAM5 MENSUALES[pr
tas
] | |
 mean [ mean ( OLE2 CAM5 MENSUALES tas ) anomalies ] 0 m[ Z |] | 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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units