served from 129.236.110.25
mean mean ∫dT [ ∂T ( OLE2 ROMS-BACKUP temp ) anomalies ] : ∂T Temperatura Potencial data
mean mean ∫dT [ ∂T ( OLE2 ROMS-BACKUP temp ) anomalies ] .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 (0000 16 Jan 1997) to (0000 16 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
- mean $integral dT$ [ $partialdiff sub T$ ( OLE2 ROMS-BACKUP temp ) anomalies ]
- Averaged over T2[16 Jan 1997 - 15 Jan 1998, 16 Jan 2007 - 15 Jan 2008]
Averaged over xi_rho[NaN, NaN]
mean mean $integral dT$ [ $partialdiff sub T$ ( OLE2 ROMS-BACKUP temp ) anomalies ]- Averaged over s_rho[NaN, NaN]
- Averaged over T2[16 Jan 1997 - 15 Jan 1998, 16 Jan 2007 - 15 Jan 2008]
Last updated: Thu, 27 Dec 2018 21:49:21 GMT
Data Views
Views
data as colors
data as contours| eta_rho | T | |
 mean mean $integral dT$ [ $partialdiff sub T$ ( OLE2 ROMS-BACKUP temp ) anomalies ] [ eta_rho | 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 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