data: mean [ WORLDCLIM prec ]

mean [ WORLDCLIM prec ]: Precipitation data

prec prec prec Precipitation from WORLDCLIM: Current conditions (interpolations of observed data, representative of 1950-2000). Resolution: 30 arc-seconds (~1 km).

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (59.99167W) to (30.00833W) by 0.008333334 N= 3599 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: precip_colors
CS: null
datatype: doublearraytype
file_missing_value: -3.39999995E38
maxncolor: 254
missing_value: NaN
units: unitless
history: Averaged over Y[59.99583S, 30.00417S] minimum 0.0% data present

Last updated: Thu, 04 Feb 2016 15:18:09 GMT

Data Views

	X
WORLDCLIM[prec tmean tmax tmin alt bio5 URUGUAY bio7 bio6 bio1 bio12 ]
grid: /X (degree_east) ordered (59.99583W) to (30.00417W) by 0.008333334 N= 3600 pts :grid	O=-0.004165649
grid: /Y (degree_north) ordered (30.00417S) to (59.99583S) by 0.008333334 N= 3600 pts :grid
mean [ WORLDCLIM prec ][ X \|]	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
Differentiate along X
Take differences along X