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∂S [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast target_date ]: ∂S forecast time data
target_date ∂S forecast time from NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 2019) to (Oct 2021) by 1.0 N= 34 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 183063104
- pointwidth
- 3
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- unitless
Last updated: Wed, 24 Nov 2021 15:09:47 GMT
Expires: Wed, 09 Sep 2020 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| L | S | |
 $partialdiff sub S$ [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast target_date ] 2.5 months[ S L |] | 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 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