served from dlibrary.snia.gub.uy
max min ∫dY ∫dX [ WORLDCLIM bio1 ] : Annual Mean Temperature data
bio1 bio1 int_dX int_dY min Annual Mean Temperature from WORLDCLIM: Current conditions (interpolations of observed data, representative of 1950-2000). Resolution: 30 arc-seconds (~1 km). isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- 25
- colorscalename
- temp_colors
- CS
- 10
- datatype
- doublearraytype
- file_missing_value
- -3.39999995E38
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.000304617419786709 degree_Kelvin radian2 north
- history
- max min $integral dY$ $integral dX$ [ WORLDCLIM bio1 ]
- min over Y[30.0S, 60S]
max over X[59.99583W, 30.00417W]
- min over Y[30.0S, 60S]
- colorscale
Last updated: Thu, 04 Feb 2016 15:18:09 GMT
Data Views
 WORLDCLIM[tmax
alt
prec
bio5
bio12
bio6
bio1
tmin
URUGUAY
bio7
tmean
] |
| 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 |
 max min $integral dY$ $integral dX$ [ WORLDCLIM bio1 ] [ |] |
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units