data: ZMD CPT NextGen Forecast target

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ZMD CPT NextGen Forecast target_date: Forecast Time data

target_date Forecast Time from ZMD CPT NextGen 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 (days since 1960-01-01) ordered [ (0000 1 Aug 2020) (0000 1 Sep 2020) (0000 1 Oct 2020) (0000 1 Nov 2020) (0000 1 Dec 2020) (0000 1 Jan 2021) (0000 1 Feb 2021) (0000 1 Mar 2021) (0000 1 Apr 2021) (0000 1 May 2021) (0000 1 Jun 2021) (0000 1 Jul 2021) (0000 1 Aug 2021) (0000 1 Sep 2021) (0000 1 Oct 2021) (0000 1 Nov 2021) (0000 1 Dec 2021)] :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 179562376
pointwidth: 3
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: months since 1960-01-01
standard units*: 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )

Last updated: Thu, 10 Feb 2022 00:03:57 GMT
Expires: Sat, 12 Mar 2022 00:00:00 GMT

Data Views

	L	S
ZMD CPT NextGen Forecast[PredErrorVars Forecast dof target_date Prob target_length Dom_Terc ]
ZMD CPT NextGen Forecast target_date 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