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∫dS [ MGAP CPT target_date ]: forecast time data
MGAP CPT target_date int_dS forecast time from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered (2.5 months) to (4.5 months) by 1.0 N= 3 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered [ (16 Aug 2012 - 15 Sep 2012) (16 Sep 2012 - 15 Oct 2012) (16 Oct 2012 - 30 Mar 2013) (1 Apr 2013 - 15 Sep 2013) (16 Sep 2013 - 15 Oct 2013) (16 Oct 2013 - 15 Nov 2013)] :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 192711736
- pointwidth
- 3.0
- scale_max
- null
- scale_min
- null
- units
- 0.00694444444444444 year2
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | S | |
 $integral dS$ [ MGAP CPT target_date ][ L S |] | M | 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 L S
- Differentiate along L S
- Take differences along L S
RMS (root mean square with mean *not* removed) over L S | L S |
RMSA (root mean square with mean removed) over L S | L S |
Maximum over L S | L S |
Minimum over L S | L S |
Detrend (best-fit-line) over L S | L S |
Note on units