data: $integral dS$ max max [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ]

∫dS max max [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ] : cross-validated hindcasts data

CrossValHind max max cross-validated hindcasts 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

CE

null

colorscalename

precip_colors

CS

datatype

doublearraytype

file_missing_value

-999.0

maxncolor

254

missing_value

NaN

units

8.33333333333333×10^-05 meter year

history

$integral dS$ max max [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ]

max over Y[11.5S, 23N]
max over X[22E, 51.25E]

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

Data Views

	L	S
$integral dS$ max max [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ] 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