served from 129.236.110.25
root mean sq anom mean ∂T [ OLE2 ROMS-BACKUP lon_rho anomalies ] : ∂T longitude of RHO-points data
root mean sq anom mean ∂T [ OLE2 ROMS-BACKUP lon_rho anomalies ] .Independent Variables (Grids)
- eta_rho
- grid: /eta_rho (unitless) ordered (NaN) to (NaN) by NaN N= 324 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- 2.02005700462307×10-07 radian east second-1
- history
- mean $partialdiff sub T$ [ OLE2 ROMS-BACKUP lon_rho anomalies ] 1200 2 Jul 2009 - 1200 3 Sep 2009
- Averaged over T2[1997, 2008]
Averaged over xi_rho[NaN, NaN]
root mean sq anom mean $partialdiff sub T$ [ OLE2 ROMS-BACKUP lon_rho anomalies ]- Averaged over T[1201 1 Aug 1997 - 1201 30 Sep 1997, 1200 2 Jul 2009 - 1200 3 Sep 2009]
- Averaged over T2[1997, 2008]
Last updated: Thu, 27 Dec 2018 21:49:21 GMT
Data Views
Views
line plots
color bars
scatter| eta_rho | |
 root mean sq anom mean $partialdiff sub T$ [ OLE2 ROMS-BACKUP lon_rho anomalies ] [ eta_rho |] | 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 eta_rho
- Differentiate along eta_rho
- Take differences along eta_rho
RMS (root mean square with mean *not* removed) over eta_rho |
RMSA (root mean square with mean removed) over eta_rho |
Maximum over eta_rho |
Minimum over eta_rho |
Detrend (best-fit-line) over eta_rho |
Note on units