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NextGen CPT 0p1 Guatemala V4 Models CanSIPS-IC3 Forecast Mu: Pronóstico data
Pronóstico from NextGen CPT 0p1 Guatemala V4 Models CanSIPS-IC3 Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Apr 2022) to (0000 1 Jun 2023) by 1.0 N= 15 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
- 500
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -999.0
- scale_max
- 500.0
- scale_min
- 0.0
- units
- mm /dia
- standard units*
- mm /dia
- colorscale
Last updated: Mon, 24 Jul 2023 02:32:05 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 0p1 Guatemala V4 Models CanSIPS-IC3 Forecast[PROBABILITIES
PredErrorVars
target_length
PROB_FCST
Mu
target_date
] | ||||
 NextGen CPT 0p1 Guatemala V4 Models CanSIPS-IC3 Forecast Mu 2.5 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