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root mean sq anom ∂T [ OLE2 ROMS-BACKUP temp ] : ∂T Temperatura Potencial data
root mean sq anom ∂T [ OLE2 ROMS-BACKUP temp ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1997 - 15 Feb 1997) to (16 Nov 2008 - 15 Dec 2008) by 1.0 N= 143 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- 12 degree_Kelvin year-1
- history
- Averaged over xi_rho[NaN, NaN] eta_rho[NaN, NaN] s_rho[NaN, NaN]
Last updated: Thu, 27 Dec 2018 21:49:21 GMT
Data Views
Views
line plots
color bars
scatter| T | |
 OLE2 ROMS-BACKUP[salt
lon_rho
temp
lat_rho
] | |
| grid: /xi_rho (unitless) ordered (NaN) to (NaN) by NaN N= 397 pts :grid | |
| grid: /eta_rho (unitless) ordered (NaN) to (NaN) by NaN N= 324 pts :grid | |
| grid: /s_rho (unitless) ordered (NaN) to (NaN) by NaN N= 32 pts :grid | |
| grid: /T (months since 1960-01-01) ordered (Jan 1997) to (Dec 2008) by 1.0 N= 144 pts :grid | O=0.5 |
 root mean sq anom $partialdiff sub T$ [ OLE2 ROMS-BACKUP temp ] [ | T] | 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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units