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root mean sq anom root mean sq anom ∂T [ ICPAC Projections RCA-MPI hist monthly GHA rainfall precipitation ] : ∂T Precipitation data
root mean sq anom root mean sq anom ∂T [ ICPAC Projections RCA-MPI hist monthly GHA rainfall precipitation ] .Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.74S) to (22.91N) by 0.05 N= 694 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 12 kilogram meter-1 second-2 year-1
- history
- root mean sq anom root mean sq anom $partialdiff sub T$ [ ICPAC Projections RCA-MPI hist monthly GHA rainfall precipitation ]
- Averaged over T[16 Jan 1951 - 15 Feb 1951, 16 Nov 2005 - 15 Dec 2005] minimum 0.0% data present
Averaged over X[21.84E, 51.39E] minimum 0.0% data present
- Averaged over T[16 Jan 1951 - 15 Feb 1951, 16 Nov 2005 - 15 Dec 2005] minimum 0.0% data present
Last updated: Thu, 17 Dec 2020 09:40:23 GMT
Data Views
Views
line plots
color bars
scatter
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