served from IRI/LDEO Climate Data Library
∫dS [ ∫dS S ]: ∫dS [ ∫dS S ] data
∫dS [ ∫dS S ].Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (0000 16 Dec 2010) to (0000 16 Jul 2019) by 1.0 N= 104 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- datatype
- doublearraytype
- gridid
- 185689384
- scale_max
- null
- scale_min
- null
- units
- 0.000578703703703703 ( year above 2000 ) year2
Data Views
Views
line plots
color bars
scatter| L | M | S | X | Y | |
 $partialdiff sub S$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ][ X Y | L M S] | M | M | S | M | M |
|---|---|---|---|---|---|
| grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid | M | ||||
| grid: /S (months since 1960-01-01) ordered (Jan 2011) to (Jun 2019) by 1.0 N= 102 pts :grid | S | ||||
| grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid | M | ||||
 $integral dS$ [ $integral dS$ 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