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root mean sq root mean sq [ ∂T ∫dT ( OLE2 ROMS-BACKUP temp ) anomalies ] : ∂T Temperatura Potencial data
root mean sq root mean sq [ ∂T ∫dT ( OLE2 ROMS-BACKUP temp ) anomalies ] .Independent Variables (Grids)
- s_rho
- grid: /s_rho (unitless) ordered (NaN) to (NaN) by NaN N= 32 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 [ $partialdiff sub T$ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ]
- Averaged over T2[1997, 2008]
Averaged over eta_rho[NaN, NaN]
root mean sq root mean sq [ $partialdiff sub T$ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ]- Averaged over xi_rho[NaN, NaN]
- Averaged over T2[1997, 2008]
Last updated: Thu, 27 Dec 2018 21:49:21 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| s_rho | T | |
 root mean sq root mean sq [ $partialdiff sub T$ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ] [ s_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 s_rho T
- Differentiate along s_rho T
- Take differences along s_rho T
RMS (root mean square with mean *not* removed) over s_rho T | s_rho T |
RMSA (root mean square with mean removed) over s_rho T | s_rho T |
Maximum over s_rho T | s_rho T |
Minimum over s_rho T | s_rho T |
Detrend (best-fit-line) over s_rho T | s_rho T |
Note on units