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mean ∂T ∫dX [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] climatology: ∂T Precipitation data
mean ∂T ∫dX [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] climatology.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.815E) to (51.415E) by 0.05 N= 593 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.20943951023932 kilogram meter-1 radian east second-2 year-1
- history
- mean $partialdiff sub T$ $integral dX$ [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] climatology
- Averaged over Y[11.765S, 22.935N] minimum 0.0% data present
Averaged over T2[16 Jan 2006 - 15 Jan 2007, 16 Jan 2099 - 15 Jan 2100] minimum 0.0% data present
- 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
line plots
color bars
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