served from IRI/LDEO Climate Data Library
∫dZ Z: ∫dZ Z data
∫dZ Z.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
- 8
- datatype
- doublearraytype
- gridid
- 189424664
- scale_max
- null
- scale_min
- null
- units
- meter2
Data Views
Views
line plots
color bars
scatter| T | X | Y | Z | |
 $partialdiff sub T$ $partialdiff sub Y$ [ LEVITUS94 MONTHLY temp ] [ X Y Z | T] | M | M | M | D |
|---|---|---|---|---|
| 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 | D | |||
| grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | M | |||
| grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | M | |||
| grid: /Y (degree_north) ordered (88.5S) to (88.5N) by 1.0 N= 178 pts :grid | M | |||
 $integral dZ$ Z[ 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
RMS (root mean square with mean *not* removed) over Z |
RMSA (root mean square with mean removed) over Z |
Maximum over Z |
Minimum over Z |
Detrend (best-fit-line) over Z |
Note on units