served from dlibrary.snia.gub.uy
root mean sq ∂S ∂L ∂S [ MGAP CPT target_date ] : ∂S ∂L ∂S forecast time data
MGAP CPT target_date target_date partial_S partial_L partial_L partial_S ∂S ∂L ∂S forecast time from SOURCES: datos de MGAP SNIA prueba. isIndependent Variables (Grids)
- L
- grid: /L (months) ordered [ (3.5)] :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 184900848
- pointwidth
- 3.0
- scale_max
- null
- scale_min
- null
- units
- 144 year-2
- history
- Averaged over S[0000 1 Oct 2012 - 1200 8 Jan 2013, 1200 23 Jun 2013 - 2400 30 Sep 2013]
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units