served from dlibrary.snia.gub.uy
∂S ∫dS ∫dL [ MGAP CPT target_date ] : ∂S forecast time data
MGAP CPT target_date int_dL int_dS partial_S ∂S forecast time from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- L
- grid: /L (months) ordered (2.0 months) to (5.0 months) by 1.0 N= 4 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered [ (Sep 2012) (0000 1 Oct 2012 - 1200 8 Jan 2013) (1200 8 Jan 2013 - 1200 23 Jun 2013) (1200 23 Jun 2013 - 2400 30 Sep 2013) (Oct 2013)] :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 184900816
- 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
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