root mean sq anom root mean sq anom ∂X [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies ] : ∂X Precipitation data
root mean sq anom root mean sq anom
∂X [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies ] .
is
Independent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 kilogram meter-1 radian-1 east second-2
- history
- root mean sq anom $partialdiff sub X$ [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies ] Dec 2100
- Averaged over T2[2006, 2100] minimum 0.0% data present
Averaged over X[21.865E, 51.365E] Y[11.74S, 22.91N] minimum 0.0% data present
root mean sq anom root mean sq anom $partialdiff sub X$ [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies ] - Averaged over T[Jan 2006, Dec 2100] minimum 0.0% data present
Last updated: Wed, 07 Jun 2017 10:46:37 GMT
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
Average over
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