served from IRI/LDEO Climate Data Library
∫dT T: ∫dT T data
∫dT T.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1950) to (0000 1 Jan 2002) by 1.0 N= 625 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- datatype
- doublearraytype
- gridid
- 189177288
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- 0.00694444444444444 ( year above 2000 ) year
Last updated: Thu, 23 Jan 2003 21:17:59 GMT
Data Views
Views
line plots
color bars
scatter| T | X | Y | Z | |
 UMD Carton goa beta7 t[ X Y | Z T] | O=-0.5 | M | M | M |
|---|---|---|---|---|
| grid: /Z (m) ordered [ (3622.5) (2885.6) (2201.3) (1598.79) (1099.46) (714.46) (443.79) (276.27) (190.61) (157.5) (142.5) (127.5) (112.5) (97.5) (82.5) (67.5) (52.5) (37.5) (22.5) (7.5)] :grid | M | |||
| grid: /T (months since 1960-01-01) ordered (Jan 1950) to (Dec 2001) by 1.0 N= 624 pts :grid | O=-0.5 | |||
| grid: /Z (m) ordered [ (3622.5) (2885.6) (2201.3) (1598.79) (1099.46) (714.46) (443.79) (276.27) (190.61) (157.5) (142.5) (127.5) (112.5) (97.5) (82.5) (67.5) (52.5) (37.5) (22.5) (7.5)] :grid | M | |||
 $integral dT$ 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