data: $integral dY$ max [ CMC NWSA VALIDATION CCA THREE ESCENARIO5 2AFC ]

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∫dY max [ CMC NWSA VALIDATION CCA THREE ESCENARIO5 2AFC ] : 2AFC Precipitation data

∫dY max [ CMC NWSA VALIDATION CCA THREE ESCENARIO5 2AFC ] .

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (1.5)] :grid
Latitude (latitude): grid: /Y (degree_north) ordered (18.10707N) to (11.71707S) by 0.9941379 N= 31 pts :grid

Other Info

bufferwordsize: 8
CE: 100.0
CS: 0.0
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: degree_north
standard units*: 0.0174532925199433 radian north
history: max over X[98.86W, 49.93W] S[0000 1 Mar 2001, 0000 1 Dec 2001]

Last updated: Thu, 05 Oct 2017 21:11:57 GMT
Expires: Sun, 05 Nov 2017 00:00:00 GMT

Data Views

	L	Y
$integral dY$ max [ CMC NWSA VALIDATION CCA THREE ESCENARIO5 2AFC ] 1.5 months[ Y \| 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 Y
Differentiate along Y
Take differences along Y