mean mean ∫dX ∫dT ∫dT detrendedbfl ∂_{Z} [ LEVITUS94 MONTHLY temp ] : ∂_{Z} Temperature data
MONTHLY temp partial_Z adif int_dT int_dT int_dX int_dX int_dX int_dX
∂_{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) ordered (1E) to (1W) by 1.0 N= 359 pts :grid
 Latitude
 grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid
Other Info
 CE
 null
 CS
 null
 datatype
 realarraytype
 missing_value
 NaN
 units
 0.000121203420277384 degree_Kelvin meter^{1} radian east year^{2}
 history
 mean $integral dX$ $integral dT$ $integral dT$ detrendedbfl $partialdiff sub Z$ [ LEVITUS94 MONTHLY temp ]
 World Ocean Atlas CDROM, Levitus et al., 1994
Averaged over Z[0.0 m, 1000.0 m] minimum 0.0% data present
mean mean $integral dX$ $integral dT$ $integral dT$ detrendedbfl $partialdiff sub Z$ [ LEVITUS94 MONTHLY temp ]  Averaged over T[0000 16 Dec 1959, 0000 16 Jan 1961] minimum 0.0% data present
References
Conkright_etal1994
Levitus_Boyer1994a
Levitus_etal1994
Levitus_Boyer1994c
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
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
 Differentiate along X
Y
 Take differences along X
Y
Average over
X
Y

X Y

RMS (root mean square with mean *not* removed) over
X
Y

X Y

RMSA (root mean square with mean removed) over
X
Y

X Y

Maximum over
X
Y

X Y

Minimum over
X
Y

X Y

Detrend (bestfitline) over
X
Y

X Y

Note on units