data: root mean sq anom $partialdiff sub X$ [ Princeton wspd ]

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root mean sq anom ∂_X [ Princeton wspd ] : ∂_X Wind speed at 10 m data

root mean sq anom ∂_X [ Princeton wspd ] .

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (0) to (0.5W) by 0.5 N= 720 pts :grid
Depth: grid: /Z (m) ordered [ (0)] :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: 2.00000004E20
missing_value: NaN
pointwidth: 0
units: 57.2957795130823 meter radian^-1 east second^-1
history: Averaged over Y[89.75S, 89.75N] T[0000 1 Jan 1948, 0000 31 Dec 2008] minimum 0.0% data present

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

Data Views

	X	Z
Princeton[prcp tmin tmax wspd ]
root mean sq anom $partialdiff sub X$ [ Princeton wspd ] 0 m[ X Z \|]	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 X
Differentiate along X
Take differences along X

root mean sq anom ∂X [ Princeton wspd ] : ∂X Wind speed at 10 m data

Independent Variables (Grids)

Other Info

Data Views

Filters

root mean sq anom ∂_X [ Princeton wspd ] : ∂_X Wind speed at 10 m data