data: mean detrended-bfl $integral dY$ [ Princeton wspd ]

served from 129.236.110.25

mean detrended-bfl ∫dY [ Princeton wspd ] : Wind speed at 10 m data

mean detrended-bfl ∫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: 0.0174532925199433 meter radian north second^-1
history: Averaged over X[0, 0] Y[90S, 90N] T[0000 1 Jan 1948, 2400 30 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 ]
grid: /X (degree_east) periodic (0.25E) to (0.25W) by 0.5 N= 720 pts :grid
grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
grid: /T (days since 1960-01-01 00:00:00) ordered (0000 1 Jan 1948) to (0000 31 Dec 2008) by 1.0 N= 22281 pts :grid
mean detrended-bfl $integral dY$ [ 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