data: root mean sq root mean sq [ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ]

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root mean sq root mean sq [ ∫dT ( OLE2 ROMS-BACKUP temp ) anomalies ] : Temperatura Potencial data

root mean sq root mean sq [ ∫dT ( OLE2 ROMS-BACKUP temp ) anomalies ] .

Independent Variables (Grids)

eta_rho: grid: /eta_rho (unitless) ordered (NaN) to (NaN) by NaN N= 324 pts :grid
Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1997) to (Dec 2008) by 1.0 N= 144 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

pointwidth

1.0

units

0.0833333333333333 degree_Kelvin year

history

root mean sq [ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ]

Averaged over T2[1997, 2008]
Averaged over xi_rho[NaN, NaN]

root mean sq root mean sq [ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ]

Averaged over s_rho[NaN, NaN]

Last updated: Thu, 27 Dec 2018 21:49:21 GMT

Data Views

	eta_rho	T
root mean sq root mean sq [ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ] [ 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