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NextGen CPT Estacional CHIRPS Guatemala 1V1 Models NCEP-CFSv2 Skill ROCBelow: ROC Below - CCA Deterministic Hindcasts data
ROC Below - CCA Deterministic Hindcasts from NextGen CPT Estacional CHIRPS Guatemala 1V1 Models NCEP-CFSv2 Skill: Forecast Skills.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S
- grid: /S (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 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 (39.95N) to (4.95S) by 0.1 N= 450 pts :grid
Other Info
- CE
- 100.0
- colorscalename
- correlationcolorscale
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- scale_max
- 100.0
- scale_min
- 0.0
- colorscale
Last updated: Mon, 06 Feb 2023 21:20:07 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 1V1[NextGen
Models
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 NextGen CPT Estacional CHIRPS Guatemala 1V1 Models NCEP-CFSv2 Skill ROCBelow 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