served from digilib.icpac.net
mean ∫dT [ ICPAC Projections RCA-MPI rcp85 monthly GHA rainfall precipitation ] climatology: Precipitation data
mean ∫dT [ ICPAC Projections RCA-MPI rcp85 monthly GHA rainfall precipitation ] climatology.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 0000-01-01) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :grid
- longitude (longitude)
- grid: /X (degree_east) ordered (21.84E) to (51.39E) by 0.05 N= 592 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- Conventions
- COARDS
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0833333333333333 kilogram meter-1 second-2 year
- history
- mean $integral dT$ [ ICPAC Projections RCA-MPI rcp85 monthly GHA rainfall precipitation ] climatology
- Averaged over Y[11.765S, 22.935N] minimum 0.0% data present
Averaged over T2[16 Dec 2005 - 15 Dec 2006, 16 Dec 2099 - 15 Dec 2100] minimum 0.0% data present
- Averaged over Y[11.765S, 22.935N] minimum 0.0% data present
Last updated: Wed, 07 Jun 2017 11:01:55 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | X | |
 mean $integral dT$ [ ICPAC Projections RCA-MPI rcp85 monthly GHA rainfall precipitation ] climatology[ X T |] | M | 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 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