served from dlibrary.snia.gub.uy
∫dL [ MGAP CPT target_date ]: forecast time data
MGAP CPT target_date 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
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered [ (0000 1 Sep 2012) (0000 1 Oct 2012) (0000 1 Nov 2012) (0000 1 Sep 2013) (0000 1 Oct 2013) (0000 1 Nov 2013)] :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 192711712
- pointwidth
- 3.0
- scale_max
- null
- scale_min
- null
- units
- 0.00694444444444444 ( year above 2000 ) year
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 | |
 $integral dL$ [ 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