data: $integral dSh$ $integral dSh$ [ Hydromet Seasonal_Forecast Precipitation hindcast

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∫dSh ∫dSh [ Hydromet Seasonal_Forecast Precipitation hindcast_date ] : hindcast time data

Precipitation hindcast_date hindcast_date int_dSh hindcast time from Hydromet Seasonal_Forecast: Seasonal Forecast.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Sh (forecast_reference_time): grid: /Sh (days since 1960-01-01) ordered [ (0000 1 Dec 1980) (0000 1 Jan 1981) (0600 31 Jan 1981) ... (0000 31 Dec 2010)] N= 362 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 191775416
pointwidth: 3
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: 622080000 ( year above 2000 ) second²

Last updated: Fri, 12 Jan 2024 14:16:35 GMT

Data Views

	L	Sh
$integral dSh$ $integral dSh$ [ Hydromet Seasonal_Forecast Precipitation hindcast_date ] 2.5 months[ Sh 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 Sh
Differentiate along Sh
Take differences along Sh