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root mean sq anom ∫dT [ OLE2 CAM5 MENSUALES tas climatology ] : Near-Surface Air Temperature data
root mean sq anom ∫dT [ OLE2 CAM5 MENSUALES tas climatology ] .Independent Variables (Grids)
- M
- grid: /M (unitless) ordered (1.5) to (4.5) by 1.0 N= 4 pts :grid
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1960) to (0000 1 Jan 1961) by 1.0 N= 13 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (0.3125W) by 0.3125 N= 1152 pts :grid
- Depth
- grid: /Z (m) ordered [ (0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- 0.0833333333333333 degree_Kelvin year
- history
- root mean sq anom $integral dT$ [ OLE2 CAM5 MENSUALES tas climatology ]
- Averaged over T2[1995, 2005]
Averaged over Y[90S, 90N]
- Averaged over T2[1995, 2005]
Last updated: Mon, 21 Oct 2019 20:00:54 GMT
Data Views
Views
data as colors
data as contours| M | T | X | Z | |
 OLE2 CAM5 MENSUALES[pr
tas
] | ||||
 root mean sq anom $integral dT$ [ OLE2 CAM5 MENSUALES tas climatology ] 0 m[ X Z T | M] | 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 T M
- Differentiate along X T M
- Take differences along X T M
RMS (root mean square with mean *not* removed) over X T M | X T X M T M | X T M |
RMSA (root mean square with mean removed) over X T M | X T X M T M | X T M |
Maximum over X T M | X T X M T M | X T M |
Minimum over X T M | X T X M T M | X T M |
Detrend (best-fit-line) over X T M | X T X M T M | X T M |
Note on units