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mean [ ∂Y ( ICPAC Projections RCA-MPI rcp85 monthly GHA rainfall precipitation ) climatology ]: ∂Y Precipitation data
mean [ ∂Y ( ICPAC Projections RCA-MPI rcp85 monthly GHA rainfall precipitation ) climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 0000-01-01) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- Conventions
- COARDS
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 kilogram meter-1 radian-1 north second-2
- history
- mean [ $partialdiff sub Y$ ( ICPAC Projections RCA-MPI rcp85 monthly GHA rainfall precipitation ) climatology ]
- Averaged over T2[2006, 2100] minimum 0.0% data present
Averaged over X[21.815E, 51.415E] Y[11.74S, 22.91N] minimum 0.0% data present
- Averaged over T2[2006, 2100] minimum 0.0% data present
Last updated: Wed, 07 Jun 2017 11:01:55 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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units