data: $integral dY$ max [ Y , max root mean sq anom ( Princeton wspd ) ]

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∫dY max [ Y , max root mean sq anom ( Princeton wspd ) ] : Latitude, Wind speed at 10 m data

∫dY max [ Y , max root mean sq anom ( Princeton wspd ) ] .

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (90S) to (90N) by 0.5 N= 361 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

fnname

max

gridid

172174184

missing_value

NaN

pointwidth

0.5

scale_max

null

scale_min

null

standard_name

latitude

units

0.000304617419786709 radian² north

history

max root mean sq anom [ Princeton wspd ]

Averaged over T[0000 1 Jan 1948, 0000 31 Dec 2008] minimum 0.0% data present
max over X[0.25E, 0.25W] Y[89.75S, 89.75N]

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

Data Views

	Y
Princeton[prcp tmin tmax wspd ]
grid: /X (degree_east) periodic (0.25E) to (0.25W) by 0.5 N= 720 pts :grid
$integral dY$ max [ Y , max root mean sq anom ( Princeton wspd ) ] [ \| Y]	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