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root mean sq anom root mean sq anom ∂T [ OLE2 ROMS-BACKUP temp ] : ∂T Temperatura Potencial data
root mean sq anom root mean sq anom ∂T [ OLE2 ROMS-BACKUP temp ] .Independent Variables (Grids)
- eta_rho
- grid: /eta_rho (unitless) ordered (NaN) to (NaN) by NaN N= 324 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- 12 degree_Kelvin year-1
- history
- root mean sq anom root mean sq anom $partialdiff sub T$ [ OLE2 ROMS-BACKUP temp ]
- Averaged over s_rho[NaN, NaN] T[16 Jan 1997 - 15 Feb 1997, 16 Nov 2008 - 15 Dec 2008]
Averaged over xi_rho[NaN, NaN]
- Averaged over s_rho[NaN, NaN] T[16 Jan 1997 - 15 Feb 1997, 16 Nov 2008 - 15 Dec 2008]
Last updated: Thu, 27 Dec 2018 21:49:21 GMT
Data Views
Views
line plots
color bars
scatter| eta_rho | |
 OLE2 ROMS-BACKUP[temp
salt
lon_rho
lat_rho
] | |
 root mean sq anom root mean sq anom $partialdiff sub T$ [ OLE2 ROMS-BACKUP temp ] [ eta_rho |] | 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 eta_rho
- Differentiate along eta_rho
- Take differences along eta_rho
RMS (root mean square with mean *not* removed) over eta_rho |
RMSA (root mean square with mean removed) over eta_rho |
Maximum over eta_rho |
Minimum over eta_rho |
Detrend (best-fit-line) over eta_rho |
Note on units