data: root mean sq anom root mean sq anom $integral dX$ mean [ Princeton tmax ]

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root mean sq anom root mean sq anom ∫dX mean [ Princeton tmax ] : Maximum air temperature data

root mean sq anom root mean sq anom ∫dX mean [ Princeton tmax ] . is

Independent Variables (Grids)

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

0.0174532925199433 ( degree_Kelvin above 273.15 ) radian east

history

root mean sq anom $integral dX$ mean [ Princeton tmax ] 0000 31 Dec 2008

Averaged over Y[90S, 90N] minimum 0.0% data present
Averaged over X[0, 0] minimum 0.0% data present

root mean sq anom root mean sq anom $integral dX$ mean [ Princeton tmax ]

Averaged over 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

	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
root mean sq anom root mean sq anom $integral dX$ mean [ Princeton tmax ] 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