data: ICPAC Forecasts CPT Rainfall Seasonal Forecast target

served from digilib.icpac.net

ICPAC Forecasts CPT Rainfall Seasonal Forecast target_length: Length of forecast time data

Length of forecast time from ICPAC Forecasts CPT Rainfall Seasonal Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Forecast Issue Date (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Feb 2001) to (0000 1 Feb 2020) by 1.0 N= 229 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
missing_value: NaN
pointwidth: 1.0
units: days
standard units*: 86400 second
history: Averaged in T with overlapping interval 3

Last updated: Thu, 25 Feb 2021 08:46:12 GMT

Data Views

	L	S
ICPAC Forecasts CPT Rainfall Seasonal Forecast target_length 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