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NextGen CPT 0p1 Guatemala V4 Models CanSIPS-IC3 Forecast PredErrorVars: prediction error variance data
prediction error variance 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
- null
- colorscalename
- rainbowcolorscale
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 256
- missing_value
- -999.0
- scale_min
- 0.0
- units
- mm2 /day2
- standard units*
- 1.33959190672154×10-16 meter2 second-2
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 PredErrorVars 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