served from dlibrary.snia.gub.uy
∂L [ MGAP CPT CFSv2_AtlPac_sst target_date ]: ∂L forecast time data
MGAP CPT CFSv2_AtlPac_sst target_date partial_L ∂L forecast time from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- L
- grid: /L (months) ordered [ (3.5)] :grid
- Forecast Issue Date (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Sep 2014) to (0000 1 Oct 2014) N= 2 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 192720064
- pointwidth
- 3
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- unitless
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
Data Views
Views
line plots
color bars
scatter
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 S
- Differentiate along S
- Take differences along S
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units