data: $integral dX$ min max [ ( Princeton tmax ) , max ( Princeton tmax ) ]

served from 129.236.110.25

∫dX min max [ ( Princeton tmax ) , max ( Princeton tmax ) ] : Maximum air temperature, Maximum air temperature data

∫dX min max [ ( Princeton tmax ) , max ( Princeton tmax ) ] .

Independent Variables (Grids)

Time (time): 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
Longitude (longitude): grid: /X (degree_east) ordered (0.25E) to (0.25E) by 0.5 N= 721 pts :grid
Depth: grid: /Z (m) ordered [ (0)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

2.00000004E20

fnname

max

missing_value

NaN

pointwidth

units

0.0174532925199433 degree_Kelvin radian east

history

$integral dX$ min max [ ( Princeton tmax ) , max ( Princeton tmax ) ]

max over X[0.25E, 0.25W]
min over Y[89.75S, 89.75N]

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

Data Views

	T	X	Z
$integral dX$ min max [ ( Princeton tmax ) , max ( Princeton tmax ) ] 0 m[ \| X T Z]	M	M	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 X T
Differentiate along X T
Take differences along X T

Average over X T | X T |
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |

Note on units