data: mean [ $integral dX$ $integral dY$ ( OLE2 ROMS temp ) anomalies ]

served from 129.236.110.25

mean [ ∫dX ∫dY ( OLE2 ROMS temp ) anomalies ]: Temperatura Potencial data

mean [ ∫dX ∫dY ( OLE2 ROMS temp ) anomalies ].

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 (100.0556W) to (55.94444W) by 0.1111111 N= 398 pts :grid
Latitude: grid: /Y (degree_north) ordered [ (10.05471S) (9.945289S) (9.835848S) ... (25.05862N)] N= 325 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

pointwidth

1.0

units

0.000304617419786709 degree_Kelvin radian² east

history

mean [ $integral dX$ $integral dY$ ( OLE2 ROMS temp ) anomalies ]

Averaged over T2[1997, 2008]
Averaged over T[1201 30 Jul 1997 - 1201 1 Aug 1997, 2400 3 Sep 2009]

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

Data Views

	lev	X	Y
OLE2 ROMS[temp v salt u ]
mean [ $integral dX$ $integral dY$ ( OLE2 ROMS temp ) anomalies ][ X Y lev \|]	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 lev
Differentiate along X Y lev
Take differences along X Y lev