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CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p1 2AFC: 2AFC Rayos data
CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p1 2AFC.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
- bufferwordsize
- 8
- CE
- 100.0
- colorscalename
- correlationcolorscale
- CS
- 0.0
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- -999.0
- pointwidth
- 0
- scale_max
- 100.0
- scale_min
- 0.0
- units
- unitless
- colorscale
Last updated: Thu, 25 Apr 2019 17:39:47 GMT
Expires: Sun, 05 May 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 CFSv2-CAPE LISOTD-0p1[2AFC
target_date
ODDS
RAYOS
SPEARMAN
ABOVE
BELOW
PROPENSION
PROBABILIDADES
] | |||
 CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p1 2AFC[ 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