served from dlibrary.snia.gub.uy
mean ∫dX ∂X [ WORLDCLIM prec ] : ∂X Precipitation data
prec partial_X partial_X int_dX ∂X Precipitation from WORLDCLIM: Current conditions (interpolations of observed data, representative of 1950-2000). Resolution: 30 arc-seconds (~1 km).Independent Variables (Grids)
- Longitud (longitude)
- grid: /X (degree_east) ordered (59.99583W) to (30.00417W) by 0.008333334 N= 3600 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
Views
line plots
color bars
scatter| X | |
 WORLDCLIM[alt
tmean
bio5
bio12
bio7
prec
tmax
bio1
tmin
bio6
URUGUAY
] | |
| grid: /X (degree_east) ordered (59.99583W) to (30.00417W) by 0.008333334 N= 3600 pts :grid | M |
|---|---|
| grid: /Y (degree_north) ordered (30.00417S) to (59.99583S) by 0.008333334 N= 3600 pts :grid | |
 mean $integral dX$ $partialdiff sub X$ [ 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
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units