served from IRI/LDEO Climate Data Library
∂S [ ∂S S ]: ∂S ∂S ∂S S data
∂S [ ∂S S ].Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (Feb 2011) to (May 2019) by 1.0 N= 100 pts :grid
Other Info
- calendar
- 360
- datatype
- realarraytype
- gridid
- 169320224
- scale_max
- null
- scale_min
- null
- units
- 12 year-1
Data Views
Views
line plots
color bars
scatter| L | M | S | X | Y | |
 $integral dM$ $partialdiff sub Y$ $integral dX$ $integral dL$ $integral dM$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ] [ X Y | L M S] | M | M | S | M | M |
|---|---|---|---|---|---|
| grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid | M | ||||
 $partialdiff sub S$ [ $partialdiff sub S$ S ][ S |] | 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 S
- Differentiate along S
- Take differences along S
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units