∫dZ root mean sq ∂Y root mean sq detrended-bfl [ LEVITUS94 MONTHLY temp ] : ∂Y Temperature data
MONTHLY temp adif adif partial_Y partial_Y
∂Y 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 (89S) to (89N) by 1.0 N= 179 pts :grid
- Depth
- grid: /Z (m) ordered [ (-5.0) (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) (1050.0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- 57.2957795130823 degree_Kelvin meter radian-1 north
- history
- $partialdiff sub Y$ root mean sq detrended-bfl [ LEVITUS94 MONTHLY temp ]
- World Ocean Atlas CD-ROM, Levitus et al., 1994
Averaged over T[Jan, Dec] minimum 0.0% data present
$integral dZ$ root mean sq $partialdiff sub Y$ root mean sq detrended-bfl [ LEVITUS94 MONTHLY temp ] - Averaged over X[0, 0] minimum 0.0% data present
References
Conkright_etal1994
Levitus_Boyer1994a
Levitus_etal1994
Levitus_Boyer1994c
Last updated: Fri, 24 Apr 2015 14:26:32 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 Y
Z
- Differentiate along Y
Z
- Take differences along Y
Z
Average over
Y
Z
|
Y Z
|
RMS (root mean square with mean *not* removed) over
Y
Z
|
Y Z
|
RMSA (root mean square with mean removed) over
Y
Z
|
Y Z
|
Maximum over
Y
Z
|
Y Z
|
Minimum over
Y
Z
|
Y Z
|
Detrend (best-fit-line) over
Y
Z
|
Y Z
|
Note on units