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root mean sq mean ∂T ∫dT [ OLE2 ROMS-BACKUP temp ] : ∂T Temperatura Potencial data
root mean sq mean ∂T ∫dT [ OLE2 ROMS-BACKUP temp ] .Independent Variables (Grids)
- eta_rho
- grid: /eta_rho (unitless) ordered (NaN) to (NaN) by NaN N= 324 pts :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1997) to (Dec 2008) by 1.0 N= 144 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 $partialdiff sub T$ $integral dT$ [ OLE2 ROMS-BACKUP temp ]
- Averaged over xi_rho[NaN, NaN]
Averaged over s_rho[NaN, NaN]
- Averaged over xi_rho[NaN, NaN]
Last updated: Thu, 27 Dec 2018 21:49:21 GMT
Data Views
Views
data as colors
data as contours| eta_rho | T | |
 root mean sq mean $partialdiff sub T$ $integral dT$ [ OLE2 ROMS-BACKUP temp ] [ eta_rho | T] | M | M |
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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 T
- Differentiate along eta_rho T
- Take differences along eta_rho T
RMS (root mean square with mean *not* removed) over eta_rho T | eta_rho T |
RMSA (root mean square with mean removed) over eta_rho T | eta_rho T |
Maximum over eta_rho T | eta_rho T |
Minimum over eta_rho T | eta_rho T |
Detrend (best-fit-line) over eta_rho T | eta_rho T |
Note on units