served from IRI/LDEO Climate Data Library
∫dT [ ∫dT T ]: ∫dT [ ∫dT T ] data
∫dT [ ∫dT T ].Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 16 Dec 1959) to (0000 16 Jan 1961) by 1.0 N= 14 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- datatype
- doublearraytype
- gridid
- 188971232
- modulus
- 12.0
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- units
- 0.000578703703703703 ( year above 2000 ) year2
Data Views
Views
line plots
color bars
scatter| T | X | Y | Z | |
 LEVITUS94 MONTHLY temp[ X Y Z | T] | S | M | M | M |
|---|---|---|---|---|
| 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 | |||
| grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | S | |||
| grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid | M | |||
| 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 | |||
 $integral dT$ [ $integral dT$ 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
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