served from dlibrary.snia.gub.uy
mean ∂X [ WORLDCLIM prec ] : ∂X Precipitation data
prec partial_X ∂X Precipitation from WORLDCLIM: Current conditions (interpolations of observed data, representative of 1950-2000). Resolution: 30 arc-seconds (~1 km).Independent Variables (Grids)
- Latitud (latitude)
- grid: /Y (degree_north) ordered (30.00417S) to (59.99583S) 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
- 57.2957795130823 radian-1 east
- history
- Averaged over X[59.99583W, 30.00417W] minimum 0.0% data present
Last updated: Thu, 04 Feb 2016 15:18:09 GMT
Data Views
Views
line plots
color bars
scatter| Y | |
 WORLDCLIM[tmax
bio12
alt
prec
bio5
bio7
bio6
bio1
tmean
tmin
URUGUAY
] | |
| grid: /X (degree_east) ordered (59.99583W) to (30.00417W) by 0.008333334 N= 3600 pts :grid | |
| grid: /Y (degree_north) ordered (30.00417S) to (59.99583S) by 0.008333334 N= 3600 pts :grid | M |
 mean $partialdiff sub X$ [ WORLDCLIM prec ] [ 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
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units