served from 129.236.110.25
mean ∫dT ∫dX [ OLE2 ROMS temp ] : Temperatura Potencial data
mean ∫dT ∫dX [ 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 (100.0556W) to (55.94444W) by 0.1111111 N= 398 pts :grid
- Latitude
- grid: /Y (degree_north) ordered [ (10S) (9.890577S) (9.781117S) ... (25.00823N)] N= 324 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- 1507.9644737231 degree_Kelvin radian east second
- history
- Averaged over T[1200 16 Dec 1996 - 1200 16 Jan 1997, 0515 16 Jan 2009]
Last updated: Thu, 27 Dec 2018 23:07:12 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| lev | X | Y | |
 OLE2 ROMS[temp
v
salt
u
] | |||
 mean $integral dT$ $integral dX$ [ OLE2 ROMS temp ] [ 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
RMS (root mean square with mean *not* removed) over X Y lev | X Y X lev Y lev | X Y lev |
RMSA (root mean square with mean removed) over X Y lev | X Y X lev Y lev | X Y lev |
Maximum over X Y lev | X Y X lev Y lev | X Y lev |
Minimum over X Y lev | X Y X lev Y lev | X Y lev |
Detrend (best-fit-line) over X Y lev | X Y X lev Y lev | X Y lev |
Note on units