served from 129.236.110.25
min mean [ ∂T ( OLE2 ROMS-BACKUP temp ) anomalies ] : ∂T Temperatura Potencial data
min mean [ ∂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
- xi_rho
- grid: /xi_rho (unitless) ordered (NaN) to (NaN) by NaN N= 397 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- pointwidth
- 1.0
- units
- 12 degree_Kelvin year-1
- history
- mean [ $partialdiff sub T$ ( OLE2 ROMS-BACKUP temp ) anomalies ] 16 Oct 2008 - 15 Nov 2008
- Averaged over T2[16 Jan 1997 - 15 Jan 1998, 16 Jan 2007 - 15 Jan 2008]
Averaged over s_rho[NaN, NaN]
min mean [ $partialdiff sub T$ ( OLE2 ROMS-BACKUP temp ) anomalies ]- min over T[16 Feb 1997 - 15 Mar 1997, 16 Oct 2008 - 15 Nov 2008]
- 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 | xi_rho | |
 min mean [ $partialdiff sub T$ ( OLE2 ROMS-BACKUP temp ) anomalies ] [ xi_rho eta_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 xi_rho eta_rho
- Differentiate along xi_rho eta_rho
- Take differences along xi_rho eta_rho
RMS (root mean square with mean *not* removed) over xi_rho eta_rho | xi_rho eta_rho |
RMSA (root mean square with mean removed) over xi_rho eta_rho | xi_rho eta_rho |
Maximum over xi_rho eta_rho | xi_rho eta_rho |
Minimum over xi_rho eta_rho | xi_rho eta_rho |
Detrend (best-fit-line) over xi_rho eta_rho | xi_rho eta_rho |
Note on units