data: root mean sq anom $integral dT$ detrended-bfl root mean sq anom max $integral dX$ [ LEVITUS94 MONTHLY temp ]

served from IRI/LDEO Climate Data Library

root mean sq anom ∫dT detrended-bfl root mean sq anom max ∫dX [ LEVITUS94 MONTHLY temp ] : Temperature data

MONTHLY temp temp int_dX int_dX max max max adif int_dT 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)

Latitude: grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

missing_value

NaN

units

0.00145444104332861 degree_Kelvin radian east year

history

max $integral dX$ [ LEVITUS94 MONTHLY temp ]

World Ocean Atlas CD-ROM, Levitus et al., 1994
max over Z[5.0 m, 950.0 m]

$integral dT$ detrended-bfl root mean sq anom max $integral dX$ [ LEVITUS94 MONTHLY temp ] 16 Jan - 15 Feb

Averaged over X[0, 0] minimum 0.0% data present

root mean sq anom $integral dT$ detrended-bfl root mean sq anom max $integral dX$ [ LEVITUS94 MONTHLY temp ]

Averaged over T[16 Jan - 15 Feb, 16 Jan - 15 Feb] 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

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root mean sq anom $integral dT$ detrended-bfl root mean sq anom max $integral dX$ [ LEVITUS94 MONTHLY temp ] [ Y \|]	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 Y
Differentiate along Y
Take differences along Y