served from 129.236.110.25
root mean sq ∫dT ∂M [ OLE2 CAM5 MENSUALES tas ] : ∂M Near-Surface Air Temperature data
root mean sq ∫dT ∂M [ OLE2 CAM5 MENSUALES tas ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (0.3125W) by 0.3125 N= 1152 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
- 86400 degree_Kelvin second
- history
- Averaged over T[1200 16 Dec 1994 - 1200 16 Jan 1995, 0515 16 Jan 2006] M[1.0, 5.0]
Last updated: Mon, 21 Oct 2019 20:00:54 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | Z | |
 OLE2 CAM5 MENSUALES[pr
tas
] | |||
 root mean sq $integral dT$ $partialdiff sub M$ [ OLE2 CAM5 MENSUALES tas ] 0 m[ X Y 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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units