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min [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast target_length ]: Length of forecast time data
target_length Length of forecast time from NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast: Forecast and Error. isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- days
- standard units*
- 86400 second
- history
- min [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast target_length ]
- Averaged in T with overlapping interval 3
min over S[0000 1 Jan 2019, 0000 1 Nov 2021]
- Averaged in T with overlapping interval 3
Last updated: Thu, 13 Aug 2020 16:47:48 GMT
Data Views
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 min [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast target_length ] 2.5 months[ L |] | 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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units