data: $integral dY$ root mean sq detrended-bfl $partialdiff sub Z$ [ LEVITUS94 MONTHLY temp ]

served from IRI/LDEO Climate Data Library

∫dY root mean sq detrended-bfl ∂_Z [ LEVITUS94 MONTHLY temp ] : ∂_Z Temperature data

MONTHLY temp partial_Z adif adif int_dY ∂_Z 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)

Longitude: grid: /X (degree_east) periodic (1E) to (0) by 1.0 N= 360 pts :grid
Latitude: grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid
Depth: grid: /Z (m) ordered [ (5.0) (15.0) (25.0) (40.0) (62.5) (87.5) (112.5) (137.5) (175.0) (225.0) (275.0) (350.0) (450.0) (550.0) (650.0) (750.0) (850.0) (950.0)] :grid

Other Info

CE

null

CS

null

datatype

realarraytype

missing_value

NaN

units

0.0174532925199433 degree_Kelvin meter^-1 radian north

history

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

World Ocean Atlas CD-ROM, Levitus et al., 1994
Averaged over T[Jan, Dec] minimum 0.0% data present

References

Conkright_etal1994

Levitus_Boyer1994a

Levitus_etal1994

Levitus_Boyer1994c

Last updated: Fri, 24 Apr 2015 14:26:32 GMT

Data Views

	X	Y	Z
$integral dY$ root mean sq detrended-bfl $partialdiff sub Z$ [ LEVITUS94 MONTHLY temp ] [ X Y Z \|]	M	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 X Y Z
Differentiate along X Y Z
Take differences along X Y Z