data: mean $integral dX$ $integral dT$ [ Princeton tmax ]

served from 129.236.110.25

mean ∫dX ∫dT [ Princeton tmax ] : Maximum air temperature data

mean ∫dX ∫dT [ Princeton tmax ] .

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (0) to (0) by 0.5 N= 721 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid
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 degree_Kelvin radian east second
history: Averaged over 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

	X	Y	Z
Princeton[prcp tmin tmax wspd ]
mean $integral dX$ $integral dT$ [ Princeton tmax ] 0 m[ X Y 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 Y
Differentiate along X Y
Take differences along X Y

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

Note on units