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root mean sq [ IRI Forecast_old SST_CFSV2-PRECIP_GPCC History 2AFC ]: 2AFC data
2AFC 2AFC from IRI Forecast_old SST_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (59.5W) to (52.5W) by 1.0 N= 8 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29.5S) to (35.5S) by 1.0 N= 7 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3.0
- units
- unitless
- standard units*
- unitless
- history
- Averaged over S[0000 1 Jan 2015, 0000 1 Mar 2017] L[0.0 months, 5.0 months] minimum 0.0% data present
Last updated: Wed, 08 Mar 2017 14:24:39 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units