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min [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation climatology ]: Precipitation data
min [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- kg /m /s2
- standard units*
- kilogram meter-1 second-2
- history
- min [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation climatology ]
- Averaged over T2[2006, 2100] minimum 0.0% data present
min over X[21.84E, 51.39E] Y[11.74S, 22.91N]
- Averaged over T2[2006, 2100] minimum 0.0% data present
Last updated: Wed, 07 Jun 2017 10:44:03 GMT
Data Views
Views
line plots
color bars
scatter| T | |
 grid: /X (degree_east) ordered (21.84E) to (51.39E) by 0.05 N= 592 pts :grid | |
| grid: /Y (degree_north) ordered (11.74S) to (22.91N) by 0.05 N= 694 pts :grid | |
| grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | M |
 min [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation climatology ][ T |] | 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 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