data: root mean sq [ OLE2 ROMS-BACKUP lat

served from 129.236.110.25

root mean sq [ OLE2 ROMS-BACKUP lat_rho ]: latitude of RHO-points data

root mean sq [ OLE2 ROMS-BACKUP lat_rho ].

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: degree_north
standard units*: 0.0174532925199433 radian north
history: Averaged over xi_rho[NaN, NaN] T[Jan 1997, Dec 2008]

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

Data Views

	eta_rho	s_rho	T	xi_rho
OLE2 ROMS-BACKUP[salt lon_rho temp lat_rho ]
grid: /xi_rho (unitless) ordered (NaN) to (NaN) by NaN N= 397 pts :grid				M
grid: /eta_rho (unitless) ordered (NaN) to (NaN) by NaN N= 324 pts :grid	M
grid: /s_rho (unitless) ordered (NaN) to (NaN) by NaN N= 32 pts :grid		M
grid: /T (months since 1960-01-01) ordered (Jan 1997) to (Dec 2008) by 1.0 N= 144 pts :grid			M
OLE2 ROMS-BACKUP temp[ xi_rho eta_rho s_rho \| T]	M	M	M	M
root mean sq [ OLE2 ROMS-BACKUP lat_rho ][ eta_rho \|]	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
Differentiate along eta_rho
Take differences along eta_rho