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root mean sq ∂L [ MGAP CPT hindcast_date ] : ∂L hindcast time data
MGAP CPT hindcast_date partial_L ∂L hindcast time from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- L
- grid: /L (months) ordered (3.0 months) to (4.0 months) N= 2 pts :grid
- Time (time)
- grid: /T (months since 01-Jan) ordered (Sep) to (Nov) by 1.0 N= 3 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 192710136
- pointwidth
- 3
- units
- unitless
- history
- Averaged over T2[1980, 2011]
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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 T L
- Differentiate along T L
- Take differences along T L
RMS (root mean square with mean *not* removed) over T L | T L |
RMSA (root mean square with mean removed) over T L | T L |
Maximum over T L | T L |
Minimum over T L | T L |
Detrend (best-fit-line) over T L | T L |
Note on units