served from 129.236.110.25
max [ ∫dX ( OLE2 CAM5 MENSUALES tas ) anomalies ]: Near-Surface Air Temperature data
max [ ∫dX ( OLE2 CAM5 MENSUALES tas ) anomalies ].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 (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
- 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian east
- history
- max [ $integral dX$ ( OLE2 CAM5 MENSUALES tas ) anomalies ]
- Averaged over T2[1995, 2005]
max over X[0.15625W, 0.15625W] T[0001 20 Jul 1995 - 0001 21 Jul 1995, 17 Aug 2006]
- Averaged over T2[1995, 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
] | |||
 max [ $integral dX$ ( OLE2 CAM5 MENSUALES tas ) anomalies ] 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