served from 129.236.110.25
root mean sq ∫dT min [ OLE2 ROMS-BACKUP temp ] : Temperatura Potencial data
root mean sq ∫dT min [ OLE2 ROMS-BACKUP temp ] .Independent Variables (Grids)
- s_rho
- grid: /s_rho (unitless) ordered (NaN) to (NaN) by NaN N= 32 pts :grid
- Time
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Dec 1996 - 1200 16 Jan 1997) (1200 16 Jan 1997 - 2400 14 Feb 1997) (0000 15 Feb 1997 - 1200 16 Mar 1997) ... (1200 16 Dec 2008 - 1200 16 Jan 2009)] N= 145 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- 86400 degree_Kelvin second
- history
- root mean sq $integral dT$ min [ OLE2 ROMS-BACKUP temp ]
- min over eta_rho[NaN, NaN]
Averaged over xi_rho[NaN, NaN]
- min over eta_rho[NaN, NaN]
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 | |
 OLE2 ROMS-BACKUP[lon_rho
lat_rho
temp
salt
] | ||
 root mean sq $integral dT$ min [ OLE2 ROMS-BACKUP temp ] [ s_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 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