data: root mean sq anom [ min ( $integral dT$ { OLE2 ROMS-BACKUP temp } anomalies ) climatology ]

served from 129.236.110.25

root mean sq anom [ min ( ∫dT { OLE2 ROMS-BACKUP temp } anomalies ) climatology ]: Temperatura Potencial data

root mean sq anom [ min ( ∫dT { OLE2 ROMS-BACKUP temp } anomalies ) climatology ].

Independent Variables (Grids)

s_rho: grid: /s_rho (unitless) ordered (NaN) to (NaN) by NaN N= 32 pts :grid
xi_rho: grid: /xi_rho (unitless) ordered (NaN) to (NaN) by NaN N= 397 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

pointwidth

1.0

units

0.0833333333333333 degree_Kelvin year

history

min [ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ]

Averaged over T2[16 Dec 1996 - 15 Dec 1997, 16 Dec 2007 - 15 Dec 2008]
min over eta_rho[NaN, NaN]

min [ $integral dT$ ( OLE2 ROMS-BACKUP temp ) anomalies ] climatology

Averaged over T2[16 Dec 1996 - 15 Dec 1997, 16 Dec 2007 - 15 Dec 2008]

root mean sq anom [ min ( $integral dT$ { OLE2 ROMS-BACKUP temp } anomalies ) climatology ]

Averaged over T[0000 1 Jan, 0000 1 Dec]

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

Data Views

	s_rho	xi_rho
OLE2 ROMS-BACKUP[lon_rho lat_rho temp salt ]
root mean sq anom [ min ( $integral dT$ { OLE2 ROMS-BACKUP temp } anomalies ) climatology ][ xi_rho s_rho \|]	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 xi_rho s_rho
Differentiate along xi_rho s_rho
Take differences along xi_rho s_rho