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NextGen CPT Estacional CHIRPS Guatemala REALTIME4 Models4 NCEP-CFSv2 Forecast Mu: Pronóstico data
Pronóstico from NextGen CPT Estacional CHIRPS Guatemala REALTIME4 Models4 NCEP-CFSv2 Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (3.5)] :grid
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Nov 2015) to (0000 1 Jun 2024) by 1.0 N= 104 pts :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 (4.95S) to (39.95N) by 0.1 N= 450 pts :grid
Other Info
- CE
- 1500
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -999.0
- scale_max
- 1500.0
- scale_min
- 0.0
- units
- mm /dia
- standard units*
- mm /dia
- colorscale
Last updated: Fri, 06 Jan 2023 20:59:22 GMT
Expires: Thu, 09 Feb 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | X | Y | |
 NextGen CPT Estacional CHIRPS Guatemala REALTIME4[Models4
NextGen4
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 NextGen CPT Estacional CHIRPS Guatemala REALTIME4 Models4 NCEP-CFSv2 Forecast Mu 3.5 months[ X Y | S L] | 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 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