data: root mean sq $partialdiff sub Y$ $partialdiff sub T$ detrended-bfl detrended-bfl detrended-bfl detrended-bfl $integral dT$ [ UMD Carton goa beta7 t ]

served from IRI/LDEO Climate Data Library

root mean sq ∂_Y ∂_T detrended-bfl detrended-bfl detrended-bfl detrended-bfl ∫dT [ UMD Carton goa beta7 t ] : ∂_Y ∂_T temperature data

t int_dT adif adif adif adif partial_T partial_Y ∂_Y ∂_T temperature from UMD Carton goa beta7: beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000.

Independent Variables (Grids)

Depth: grid: /Z (m) ordered [ (3622.5) (2885.6) (2201.3) (1598.79) (1099.46) (714.46) (443.79) (276.27) (190.61) (157.5) (142.5) (127.5) (112.5) (97.5) (82.5) (67.5) (52.5) (37.5) (22.5) (7.5)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-9.98999971E33

gridid

181728320

missing_value

NaN

pointwidth

1.0

standard_name

time

units

57.2957795130823 degree_Kelvin radian^-1 north

history

root mean sq $partialdiff sub Y$ $partialdiff sub T$ detrended-bfl detrended-bfl detrended-bfl detrended-bfl $integral dT$ [ UMD Carton goa beta7 t ]

beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000
Averaged over X[0, 0] Y[59.99S, 59.99N] T[Jan 1950, Dec 2001] minimum 0.0% data present

References

Carton, J.A., G. Chepurin, X. Cao, and B.S. Giese, 2000a: A Simple Ocean Data Assimilation analysis of the global upper ocean 1950-1995, Part 1: methodology, J. Phys. Oceanogr., 30, 294-309.

Carton, J.A., G. Chepurin, and X. Cao, 2000b: A Simple Ocean Data Assimilation analysis of the global upper ocean 1950-1995 Part 2: results, J. Phys. Oceanogr., 30, 311-326

Last updated: Thu, 23 Jan 2003 21:17:59 GMT

Data Views

	Z
root mean sq $partialdiff sub Y$ $partialdiff sub T$ detrended-bfl detrended-bfl detrended-bfl detrended-bfl $integral dT$ [ UMD Carton goa beta7 t ] [ \| Z]	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 Z
Differentiate along Z
Take differences along Z