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

served from 129.236.110.25

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

root mean sq ∫dT ∫dY [ Princeton wspd ] . is

Independent Variables (Grids)

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: 1507.9644737231 meter radian north
history: Averaged over X[0, 0] Y[90S, 90N] T[1200 31 Dec 1947, 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 $integral dT$ $integral dY$ [ 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