data: $integral dY$ min max [ T , root mean sq anom max ( Princeton tmin ) ]

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∫dY min max [ T , root mean sq anom max ( Princeton tmin ) ] : Time, Minimum air temperature data

∫dY min max [ T , root mean sq anom max ( Princeton tmin ) ] .

Independent Variables (Grids)

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

Other Info

bufferwordsize

calendar

standard

CE

null

CS

null

datatype

doublearraytype

fnname

max

gridid

167071528

missing_value

NaN

pointwidth

scale_max

null

scale_min

null

standard_name

time

units

1507.9644737231 ( second above -1293926400 ) radian north

history

root mean sq anom max [ Princeton tmin ]

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

$integral dY$ min max [ T , root mean sq anom max ( Princeton tmin ) ]

min over T[0000 1 Jan 1948, 0000 31 Dec 2008]

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

Data Views

	Y
Princeton[tmax wspd prcp tmin ]
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	O=-0.25
$integral dY$ min max [ T , root mean sq anom max ( Princeton tmin ) ] [ \| 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