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CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 ABOVE: ROC ( Sobre ) - Rayos data
CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 ABOVE.Independent Variables (Grids)
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2013) to (0000 1 Dec 2013) by 1.0 N= 12 pts :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (94.95001W) to (57.04999W) by 0.1000001 N= 380 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (24.95N) to (3.05N) by 0.1 N= 220 pts :grid
Other Info
- CE
- 100.0
- colorscalename
- correlationcolorscale
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- 100.0
- scale_min
- 0.0
- units
- unitless
- colorscale
Last updated: Thu, 08 Aug 2019 20:09:33 GMT
Expires: Thu, 05 Sep 2019 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| S | X | Y | |
 CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 ABOVE[ X Y | S] | M | M | M |
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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 S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units