data: $integral dS$ [ ICPAC Forecasts CPT Rainfall Seasonal History hindcast

∫dS [ ICPAC Forecasts CPT Rainfall Seasonal History hindcast_length ]: Length of hindcast time data

hindcast_length Length of hindcast time from ICPAC Forecasts CPT Rainfall Seasonal History: Predictand, Hindcast and Skill.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S: grid: /S (months since 1960-01-01) ordered (0000 16 Dec 1981) to (0000 16 Dec 2011) by 1.0 N= 361 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
missing_value: NaN
pointwidth: 1.0
units: 7200 second year
history: Averaged in T with overlapping interval 3

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

Data Views

	L	S
$integral dS$ [ ICPAC Forecasts CPT Rainfall Seasonal History hindcast_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