data: $partialdiff sub T$ [ $partialdiff sub T$ T ]

Data Library ∂_T [ ∂_T T ]

T16 Dec - 15 Dec

served from IRI/LDEO Climate Data Library

∂_T [ ∂_T T ]: ∂_T ∂_T Time data

∂_T [ ∂_T T ].

Independent Variables (Grids)

Time: grid: /T (months since 01-Jan) periodic (16 Dec - 15 Jan) to (16 Nov - 15 Dec) by 1.0 N= 12 pts :grid

Other Info

datatype: realarraytype
gridid: 181935264
scale_max: null
scale_min: null
units: 12 year^-1

Data Views

	T	X	Y	Z
$integral dX$ [ LEVITUS94 MONTHLY temp ][ X Y Z \| T]	S	M	M	M
grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid			M
grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid	S
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				M
$partialdiff sub T$ [ $partialdiff sub T$ T ][ T \|]	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 T
Differentiate along T
Take differences along T

Average over T |
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |

Note on units