served from 129.236.110.25
∂Y root mean sq [ OLE2 CAM5 MENSUALES tas ] : ∂Y Near-Surface Air Temperature data
∂Y root mean sq [ OLE2 CAM5 MENSUALES tas ] .Independent Variables (Grids)
- member
- grid: /M (unitless) ordered (1.0) to (5.0) by 1.0 N= 5 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.88266S) to (89.88266N) by 0.2346806 N= 767 pts :grid
- Depth
- grid: /Z (m) ordered [ (0)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- pointwidth
- 1.0
- units
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- Averaged over X[0.15625W, 0.15625W] T[1200 16 Jan 1995 - 2400 14 Feb 1995, 1200 16 Dec 2005]
Last updated: Mon, 21 Oct 2019 20:00:54 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| M | Y | Z | |
 OLE2 CAM5 MENSUALES[pr
tas
] | |||
 $partialdiff sub Y$ root mean sq [ OLE2 CAM5 MENSUALES tas ] 0 m[ Y Z | 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 Y M
- Differentiate along Y M
- Take differences along Y M
RMS (root mean square with mean *not* removed) over Y M | Y M |
RMSA (root mean square with mean removed) over Y M | Y M |
Maximum over Y M | Y M |
Minimum over Y M | Y M |
Detrend (best-fit-line) over Y M | Y M |
Note on units