served from IRI/LDEO Climate Data Library
∂S S: ∂S Forecast Start Time data
∂S S.Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 1982) to (May 2024) by 1.0 N= 509 pts :grid
Other Info
- calendar
- 360
- datatype
- realarraytype
- defaultvalue
- 773.0
- gridid
- 168934696
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- unitless
Last updated: Tue, 04 Jun 2024 18:37:34 GMT
Expires: Mon, 01 Jul 2024 00:42:00 GMT
Data Views
Views
line plots
color bars
scatter| L | M | P | S | X | Y | |
 Models NMME COLA-RSMAS-CCSM4 MONTHLY gz 200 hPa[ X Y | P M L S] | M | M | M | O=0.5 | M | M |
|---|---|---|---|---|---|---|
| grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid | M | |||||
| grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Jun 2024) by 1.0 N= 510 pts :grid | O=0.5 | |||||
| grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid | M | |||||
| $partialdiff sub S$ S[ S |] | M | |||||
| grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid | M | |||||
| grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid | M | |||||
| $integral dS$ [ $partialdiff sub S$ S ][ S |] | O=-0.5 | |||||
 $partialdiff sub S$ 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