data: $integral dY$ [ OLE2 CAM5 MENSUALES tas ]

served from 129.236.110.25

∫dY [ OLE2 CAM5 MENSUALES tas ]: Near-Surface Air Temperature data

∫dY [ OLE2 CAM5 MENSUALES tas ].

Independent Variables (Grids)

member: grid: /M (unitless) ordered (1.0) to (5.0) by 1.0 N= 5 pts :grid
Time (time): grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1995 - 2400 14 Feb 1995) (0000 15 Feb 1995 - 1200 16 Mar 1995) (1200 16 Mar 1995 - 2400 15 Apr 1995) ... (0000 16 Nov 2005 - 1200 16 Dec 2005)] N= 131 pts :grid
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 (90.11734S) to (90.11734N) by 0.2346806 N= 769 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 radian north

Last updated: Mon, 21 Oct 2019 20:00:54 GMT

Data Views

	M	T	X	Y	Z
OLE2 CAM5 MENSUALES[pr tas ]
$integral dY$ [ OLE2 CAM5 MENSUALES tas ] 0 m[ X Y Z \| T M]	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 Y T M
Differentiate along X Y T M
Take differences along X Y T M