data: max $integral dY$ detrended-bfl [ detrended-bfl detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) anomalies ]

served from IRI/LDEO Climate Data Library

max ∫dY detrended-bfl [ detrended-bfl detrended-bfl ∫dZ ( UMD Carton goa beta7 t ) anomalies ] : temperature data

t int_dZ adif adif adif adif int_dY int_dY temperature from UMD Carton goa beta7: beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

file_missing_value

-9.98999971E33

gridid

190064632

missing_value

NaN

pointwidth

1.0

standard_name

time

units

0.0174532925199433 degree_Kelvin meter radian north

history

detrended-bfl detrended-bfl $integral dZ$ [ UMD Carton goa beta7 t ]
beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000

detrended-bfl detrended-bfl $integral dZ$ [ UMD Carton goa beta7 t ] climatology

beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000
Averaged over T2[1950, 2001] minimum 0.0% data present

max $integral dY$ detrended-bfl [ detrended-bfl detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) anomalies ]

max over Y[60.5S, 60.5N] Z[3622.5 m, 7.5 m] T[Jan 1950, Dec 2001]

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

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max $integral dY$ detrended-bfl [ detrended-bfl detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) anomalies ] [ X \|]	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 X
Differentiate along X
Take differences along X