detrended-bfl ∂S [ MGAP CPT target_date ] : ∂S forecast time data
MGAP CPT target_date partial_S
∂S 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 [ (Sep 2012) (Oct 2012) (Nov 2012 - Aug 2013) (Sep 2013) (Oct 2013)] :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 192711736
- pointwidth
- 3.0
- scale_max
- null
- scale_min
- null
- units
- unitless
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
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
Average over
L
S
|
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