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root mean sq anom [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ]: Probabilidades - Categorías data
PROB_FCST Probabilidades - Categorías from NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 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
- Latitud (latitude)
- grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- percent
- standard units*
- 0.01
- history
- Averaged over X[94W, 87W] S[0000 1 Jan 2019, 0000 1 Jan 2021] minimum 0.0% data present
Last updated: Wed, 06 Jan 2021 16:05:25 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| C | L | Y | |
 root mean sq anom [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] 2.5 months[ Y C | L] | 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 Y C
- Differentiate along Y C
- Take differences along Y C
RMS (root mean square with mean *not* removed) over Y C | Y C |
RMSA (root mean square with mean removed) over Y C | Y C |
Maximum over Y C | Y C |
Minimum over Y C | Y C |
Detrend (best-fit-line) over Y C | Y C |
Note on units