data: root mean sq anom mean [ OLE2 ROMS temp ]

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root mean sq anom mean [ OLE2 ROMS temp ] : Temperatura Potencial data

root mean sq anom mean [ OLE2 ROMS temp ] .

Independent Variables (Grids)

lev: grid: /lev (meters) ordered [ (0.0) (2.5) (5.0) (10.0) (15.0) (25.0) (50.0) (75.0) (100.0) (125.0) (150.0) (175.0)] :grid
Longitude: grid: /X (degree_east) ordered (100W) to (56W) by 0.1111111 N= 397 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

pointwidth

1.0

units

degreeC

standard units*

degree_Kelvin

history

root mean sq anom mean [ OLE2 ROMS temp ]

Averaged over Y[10.05419S, 25.06242N]
Averaged over T[Jan 1997, Dec 2008]

Last updated: Thu, 27 Dec 2018 23:07:12 GMT

Data Views

	lev	T	X	Y
OLE2 ROMS[temp salt v u ]
grid: /X (degree_east) ordered (100W) to (56W) by 0.1111111 N= 397 pts :grid			M
grid: /Y (degree_north) ordered [ (10S) (9.890577S) (9.781117S) ... (25.00823N)] N= 324 pts :grid				M
grid: /lev (meters) ordered [ (0.0) (2.5) (5.0) (10.0) (15.0) (25.0) (50.0) (75.0) (100.0) (125.0) (150.0) (175.0)] :grid	M
grid: /T (months since 1960-01-01) ordered (Jan 1997) to (Dec 2008) by 1.0 N= 144 pts :grid		M
OLE2 ROMS temp[ X Y lev \| T]	M	M	M	M
OLE2 ROMS u[ X Y lev \| T]	M	M	M	M
root mean sq anom mean [ OLE2 ROMS temp ] [ X lev \|]	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 lev
Differentiate along X lev
Take differences along X lev