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∫dY max root mean sq [ OLE2 ROMS u ] : u-velocity, scalar, series data
∫dY max root mean sq [ OLE2 ROMS u ] .Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (Jan 1997) (Feb 1997) (Mar 1997) ... (Dec 2008)] N= 144 pts :grid
- Latitude
- grid: /Y (degree_north) ordered [ (10.05471S) (9.945289S) (9.835848S) ... (25.05862N)] N= 325 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- 0.0174532925199433 meter radian north second-1
- history
- $integral dY$ max root mean sq [ OLE2 ROMS u ]
- Averaged over lev[-7.954545 meters, 182.9545 meters]
max over X[100W, 56W]
- Averaged over lev[-7.954545 meters, 182.9545 meters]
Last updated: Thu, 27 Dec 2018 23:07:12 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 $integral dY$ max root mean sq [ OLE2 ROMS u ] [ Y | T] | 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 T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units