served from 45.183.221.150
NextGen CPT Estacional CHIRPS Guatemala V3 Models CanSIPS-IC3 Forecast target_length: Length of forecast time data
Length of forecast time from NextGen CPT Estacional CHIRPS Guatemala V3 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 Dec 2021) to (0000 1 Mar 2022) by 1.0 N= 4 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- days
- standard units*
- 86400 second
- history
- Averaged in T with overlapping interval 3
Last updated: Tue, 26 Apr 2022 17:19:07 GMT
Data Views
Views
line plots
color bars
scatter| L | S | |
 NextGen CPT Estacional CHIRPS Guatemala V3 Models CanSIPS-IC3 Forecast target_length 2.5 months[ S L |] | M | M |
|---|
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 S
- Differentiate along S
- Take differences along S
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units