data: max mean $integral dX$ [ Princeton wspd ]

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max mean ∫dX [ Princeton wspd ] : Wind speed at 10 m data

max mean ∫dX [ Princeton wspd ] . is

Independent Variables (Grids)

Depth: grid: /Z (m) ordered [ (0)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

2.00000004E20

missing_value

NaN

pointwidth

units

0.0174532925199433 meter radian east second^-1

history

max mean $integral dX$ [ Princeton wspd ]

Averaged over Y[90S, 90N] minimum 0.0% data present
max over X[0, 0] T[0000 1 Jan 1948, 0000 31 Dec 2008]

Last updated: Fri, 27 Nov 2020 04:20:45 GMT

Data Views

	Z
Princeton[prcp tmin tmax wspd ]
max mean $integral dX$ [ Princeton wspd ] 0 m[ Z \|]	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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units