data: $integral dS$ [ IRI NOAA-VECTOR R0FCST target

served from 129.236.110.25

∫dS [ IRI NOAA-VECTOR R0FCST target_date ]: forecast time data

∫dS [ IRI NOAA-VECTOR R0FCST target_date ].

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 (0000 16 Oct 2018) to (0000 16 Dec 2018) by 1.0 N= 3 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 169360728
pointwidth: 3.0
scale_max: null
scale_min: null
units: 0.00694444444444444 ( year above 2000 ) year

Last updated: Thu, 24 Jan 2019 03:12:42 GMT
Expires: Tue, 05 Feb 2019 00:00:00 GMT

Data Views

	L	S
grid: /S (months since 1960-01-01) ordered (0000 1 Nov 2018) to (0000 1 Dec 2018) N= 2 pts :grid		O=-0.5
$integral dS$ [ IRI NOAA-VECTOR R0FCST target_date ] 2.5 months[ L S \|]	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