data: min [ ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast Forecast ]

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min [ ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast Forecast ]: forecast data

Forecast forecast from ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Longitude (longitude): grid: /X (degree_east) ordered (20.5E) to (53E) by 0.5 N= 66 pts :grid

Other Info

bufferwordsize: 8
CE: 1000
CS: 0
datatype: doublearraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
scale_max: 1000.0
scale_min: 0.0
units: mm
standard units*: 0.001 meter
history: min over Y[13.5S, 24.5N] S[0000 1 Feb 2021, 0000 1 Jul 2022]
colorscale

Last updated: Thu, 28 Jul 2022 20:33:36 GMT
Expires: Wed, 09 Jun 2021 00:00:00 GMT

Data Views

	L	X
min [ ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast Forecast ] 2.5 months[ X \| 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 X
Differentiate along X
Take differences along X