served from IRI/LDEO Climate Data Library
∂S ∫dS [ ∫dS S ] : ∂S ∂S ∫dS [ ∫dS S ] data
∂S ∫dS [ ∫dS S ] .Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (Dec 2010) to (Jul 2019) by 1.0 N= 104 pts :grid
Other Info
- calendar
- 360
- datatype
- realarraytype
- defaultvalue
- 714.0
- gridid
- 178553600
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- units
- 0.00694444444444444 year2
Data Views
Views
line plots
color bars
scatter| L | M | S | X | Y | |
 $integral dM$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin ][ X Y | L M S] | M | M | O=-0.5 | M | M |
|---|---|---|---|---|---|
| grid: /M (unitless) ordered (0.5) to (10.5) by 1.0 N= 11 pts :grid | M | ||||
| grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2019) by 1.0 N= 103 pts :grid | O=-0.5 | ||||
| grid: /M (unitless) ordered (0.5) to (10.5) by 1.0 N= 11 pts :grid | M | ||||
| grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid | M | ||||
| grid: /M (unitless) ordered (0.5) to (10.5) by 1.0 N= 11 pts :grid | M | ||||
| grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid | M | ||||
| grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2019) by 1.0 N= 103 pts :grid | O=-0.5 | ||||
| grid: /M (unitless) ordered (0.5) to (10.5) by 1.0 N= 11 pts :grid | M | ||||
| grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid | M | ||||
| grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2019) by 1.0 N= 103 pts :grid | O=-0.5 | ||||
| grid: /M (unitless) ordered (0.5) to (10.5) by 1.0 N= 11 pts :grid | M | ||||
| grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid | M | ||||
 $partialdiff sub S$ $integral dS$ [ $integral dS$ 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