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NextGen CPT 0p1 Guatemala V1 Models CanSIPSv2 Forecast PROB_FCST: Probabilidades - Categorías data
PROB_FCST Probabilidades - Categorías from NextGen CPT 0p1 Guatemala V1 Models CanSIPSv2 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
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered [ (0000 1 Jan 2019) (0000 1 Feb 2019) (0000 1 Mar 2019) (0000 1 Apr 2019) (0000 1 May 2019) (0000 1 Jun 2019) (0000 1 Jul 2019) (0000 1 Aug 2019) (0000 1 Sep 2019) (0000 1 Oct 2019) (0000 1 Nov 2019) (0000 1 Dec 2019) (0000 1 Jan 2020) (0000 1 Feb 2020) (0000 1 Mar 2020) (0000 1 Apr 2020) (0000 1 May 2020) (0000 1 Jun 2020) (0000 1 Jul 2020) (0000 1 Aug 2020) (0000 1 Sep 2020) (0000 1 Oct 2020) (0000 1 Nov 2020) (0000 1 Dec 2020) (0000 1 Jan 2021) (0000 1 Feb 2021) (0000 1 Mar 2021) (0000 1 Apr 2021) (0000 1 May 2021)] :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (39.95N) to (4.95S) by 0.1 N= 450 pts :grid
Other Info
- CE
- 100
- CS
- 0
- datatype
- realarraytype
- missing_value
- -1.0
- scale_max
- 100.0
- scale_min
- 0.0
- units
- percent
- standard units*
- 0.01
Last updated: Thu, 17 Feb 2022 19:19:01 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| C | L | S | X | Y | |
 NextGen CPT 0p1 Guatemala V1[Models
NextGen
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 NextGen CPT 0p1 Guatemala V1 Models CanSIPSv2 Forecast PROB_FCST 2.5 months[ X Y C | S L] | M | M | 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 C S
- Differentiate along X Y C S
- Take differences along X Y C S
RMS (root mean square with mean *not* removed) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
RMSA (root mean square with mean removed) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Maximum over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Minimum over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Detrend (best-fit-line) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Note on units