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mean ∂T [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] : ∂T Precipitation data
mean ∂T [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] .Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 2006 - 2400 14 Feb 2006) (0000 15 Feb 2006 - 1200 16 Mar 2006) (1200 16 Mar 2006 - 2400 15 Apr 2006) ... (0000 16 Nov 2100 - 1200 16 Dec 2100)] N= 1139 pts :grid
- longitude (longitude)
- grid: /X (degree_east) ordered (21.84E) to (51.39E) by 0.05 N= 592 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
- 1.15740740740741×10-05 kilogram meter-1 second-3
- history
- Averaged over Y[11.765S, 22.935N] minimum 0.0% data present
Last updated: Wed, 07 Jun 2017 10:46:37 GMT
Data Views
Views
data as colors
data as contours| T | X | |
 mean $partialdiff sub T$ [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] [ X | T] | M | M |
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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 X T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units