data: root mean sq anom root mean sq $integral dT$ [ Princeton wspd ]

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root mean sq anom root mean sq ∫dT [ Princeton wspd ] : Wind speed at 10 m data

root mean sq anom root mean sq ∫dT [ 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

86400 meter

history

root mean sq anom root mean sq $integral dT$ [ Princeton wspd ]

Averaged over X[0, 0] minimum 0.0% data present
Averaged over Y[89.75S, 89.75N] T[1200 31 Dec 1947 - 1200 1 Jan 1948, 1200 30 Dec 2008 - 1200 31 Dec 2008] minimum 0.0% data present

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

Data Views

	Z
Princeton[prcp tmin tmax wspd ]
root mean sq anom root mean sq $integral dT$ [ 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