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

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

min root mean sq anom ∫dT ∂_X [ Princeton wspd ] .

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid
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

4950355.34993031 meter radian^-1 east

history

min root mean sq anom $integral dT$ $partialdiff sub X$ [ Princeton wspd ]

Averaged over X[0, 0.5W] minimum 0.0% data present
min over T[1200 31 Dec 1947, 1200 31 Dec 2008]

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

Data Views

	Y	Z
Princeton[prcp tmin tmax wspd ]
min root mean sq anom $integral dT$ $partialdiff sub X$ [ Princeton wspd ] 0 m[ Y 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 Y
Differentiate along Y
Take differences along Y

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

Independent Variables (Grids)

Other Info

Data Views

Filters

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