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∂T2 [ MGAP CPT CFSv2_AtlPac_sst hindcast_date ]: ∂T2 hindcast time data
MGAP CPT CFSv2_AtlPac_sst hindcast_date ∂T2 hindcast 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
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- T2
- grid: /T2 (months since 1960-01-01) ordered (Jul 1980 - Jun 1981) to (Jul 2013 - Jun 2014) by 12.0 N= 34 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 192719656
- pointwidth
- 3
- units
- unitless
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | T | T2 | |
 $partialdiff sub T2$ [ MGAP CPT CFSv2_AtlPac_sst hindcast_date ][ T2 T L |] | M | 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 T2 T L
- Differentiate along T2 T L
- Take differences along T2 T L
RMS (root mean square with mean *not* removed) over T2 T L | T2 T T2 L T L | T2 T L |
RMSA (root mean square with mean removed) over T2 T L | T2 T T2 L T L | T2 T L |
Maximum over T2 T L | T2 T T2 L T L | T2 T L |
Minimum over T2 T L | T2 T T2 L T L | T2 T L |
Detrend (best-fit-line) over T2 T L | T2 T T2 L T L | T2 T L |
Note on units