served from 129.236.110.25
root mean sq anom ∂T [ OLE2 ROMS-BACKUP lon_rho ] : ∂T longitude of RHO-points data
root mean sq anom ∂T [ OLE2 ROMS-BACKUP lon_rho ] .Independent Variables (Grids)
- eta_rho
- grid: /eta_rho (unitless) ordered (NaN) to (NaN) by NaN N= 324 pts :grid
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (0600 31 Jan 1997 - 1800 1 Mar 1997) (1800 1 Mar 1997 - 1800 31 Mar 1997) (1800 31 Mar 1997 - 0600 1 May 1997) ... (1800 31 Oct 2008 - 0600 1 Dec 2008)] N= 142 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- pointwidth
- 1.0
- units
- 2.02005700462307×10-07 radian east second-1
- history
- 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 anom $partialdiff sub T$ [ OLE2 ROMS-BACKUP lon_rho ] [ 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