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min [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2 Forecast PROB_FCST ]: Probabilidades - Categorías data
PROB_FCST Probabilidades - Categorías from NextGen CPT Estacional CPC Guatemala NCEP-CFSv2 Forecast: Forecast and Error.Independent Variables (Grids)
- Categorias
- grid: /C (ids) unordered [ (Bajo) (Normal) (Sobre)] :grid
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 100
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- 100.0
- scale_min
- 0.0
- units
- percent
- standard units*
- 0.01
- history
- min over S[0000 1 Jan 2019, 0000 1 Sep 2021]
Last updated: Fri, 05 Nov 2021 18:02:01 GMT
Expires: Thu, 09 Dec 2021 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| C | L | X | Y | |
 min [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2 Forecast PROB_FCST ] 2.5 months[ X Y C | L] | M | 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 X Y C
- Differentiate along X Y C
- Take differences along X Y C
RMS (root mean square with mean *not* removed) over X Y C | X Y X C Y C | X Y C |
RMSA (root mean square with mean removed) over X Y C | X Y X C Y C | X Y C |
Maximum over X Y C | X Y X C Y C | X Y C |
Minimum over X Y C | X Y X C Y C | X Y C |
Detrend (best-fit-line) over X Y C | X Y X C Y C | X Y C |
Note on units