data: root mean sq $partialdiff sub X$ $partialdiff sub T$ $integral dX$ $partialdiff sub X$ $integral dX$ detrended-bfl [ LEVITUS94 MONTHLY temp ]

served from IRI/LDEO Climate Data Library

root mean sq ∂_X ∂_T ∫dX ∂_X ∫dX detrended-bfl [ LEVITUS94 MONTHLY temp ] : ∂_X ∂_T ∂_X Temperature data

MONTHLY temp adif int_dX partial_X int_dX partial_T partial_X ∂_X ∂_T ∂_X Temperature from LEVITUS94: World Ocean Atlas 1994, an atlas of objectively analyzed fields of major ocean parameters at the annual, seasonal, and monthly time scales. Superceeded by WOA98.

Independent Variables (Grids)

Depth: grid: /Z (m) ordered [ (0.0) (10.0) (20.0) (30.0) (50.0) (75.0) (100.0) (125.0) (150.0) (200.0) (250.0) (300.0) (400.0) (500.0) (600.0) (700.0) (800.0) (900.0) (1000.0)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

missing_value

NaN

units

12 degree_Kelvin year^-1

history

root mean sq $partialdiff sub X$ $partialdiff sub T$ $integral dX$ $partialdiff sub X$ $integral dX$ detrended-bfl [ LEVITUS94 MONTHLY temp ]

World Ocean Atlas CD-ROM, Levitus et al., 1994
Averaged over X[0, 0] Y[90S, 90N] T[16 Dec - 15 Jan, 16 Nov - 15 Dec] minimum 0.0% data present

References

M.E. Conkright, S. Levitus, T.P. Boyer. World Ocean Atlas 1994 Volume 1: Nutrients, number 1, 1994

S. Levitus, T.P. Boyer. World Ocean Atlas 1994 Volume 2: Oxygen, number 2, 1994

S. Levitus, R. Burgett, T.P. Boyer. World Ocean Atlas 1994 Volume 3: Nutrients, number 3, 1994

S. Levitus, T.P. Boyer. World Ocean Atlas 1994 Volume 4: Temperature, number 4, 1994

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	Z
root mean sq $partialdiff sub X$ $partialdiff sub T$ $integral dX$ $partialdiff sub X$ $integral dX$ detrended-bfl [ LEVITUS94 MONTHLY temp ] [ 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