served from 129.236.110.25
root mean sq mean ∫ds_rho [ OLE2 ROMS-BACKUP temp ] : Temperatura Potencial data
root mean sq mean ∫ds_rho [ OLE2 ROMS-BACKUP temp ] .Independent Variables (Grids)
- eta_rho
- grid: /eta_rho (unitless) ordered (NaN) to (NaN) by NaN N= 324 pts :grid
- s_rho
- grid: /s_rho (unitless) ordered (0.0) to (0.0) N= -2147483647 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- root mean sq mean $integral ds_rho$ [ OLE2 ROMS-BACKUP temp ]
- Averaged over T[16 Jan 1997 - 15 Feb 1997, 16 Nov 2008 - 15 Dec 2008]
Averaged over xi_rho[NaN, NaN]
- Averaged over 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
data as colors
data as contours
line plots
color bars| eta_rho | s_rho | |
 root mean sq mean $integral ds_rho$ [ OLE2 ROMS-BACKUP temp ] [ eta_rho s_rho |] | 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 eta_rho s_rho
- Differentiate along eta_rho s_rho
- Take differences along eta_rho s_rho
RMS (root mean square with mean *not* removed) over eta_rho s_rho | eta_rho s_rho |
RMSA (root mean square with mean removed) over eta_rho s_rho | eta_rho s_rho |
Maximum over eta_rho s_rho | eta_rho s_rho |
Minimum over eta_rho s_rho | eta_rho s_rho |
Detrend (best-fit-line) over eta_rho s_rho | eta_rho s_rho |
Note on units