data: root mean sq detrended-bfl $partialdiff sub T$ min [ detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) climatology ]

served from IRI/LDEO Climate Data Library

root mean sq detrended-bfl ∂_T min [ detrended-bfl ∫dZ ( UMD Carton goa beta7 t ) climatology ] : ∂_T temperature data

t int_dZ adif adif min min partial_T adif ∂_T 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

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-9.98999971E33

gridid

185694128

missing_value

NaN

pointwidth

1.0

standard_name

time

units

12 degree_Kelvin meter year^-1

history

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

detrended-bfl $partialdiff sub T$ min [ detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) climatology ]

min over Y[59.99S, 59.99N]

root mean sq detrended-bfl $partialdiff sub T$ min [ detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) climatology ]

Averaged over Z[0.0 m, 3990.95 m] T[16 Dec - 15 Jan, 16 Nov - 15 Dec] 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

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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