data: root mean sq detrended-bfl [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ]

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root mean sq detrended-bfl [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] : Precipitation data

root mean sq detrended-bfl [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] .

Independent Variables (Grids)

longitude (longitude): grid: /X (degree_east) ordered (21.84E) to (51.39E) by 0.05 N= 592 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (11.74S) to (22.91N) by 0.05 N= 694 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: kg /m /s²
standard units*: kilogram meter^-1 second^-2
history: Averaged over T[Jan 2006, Dec 2100] minimum 0.0% data present

Last updated: Wed, 07 Jun 2017 10:46:37 GMT

Data Views

	X	Y
grid: /X (degree_east) ordered (21.84E) to (51.39E) by 0.05 N= 592 pts :grid	M
grid: /Y (degree_north) ordered (11.74S) to (22.91N) by 0.05 N= 694 pts :grid		M
grid: /T (months since 1960-01-01) ordered (Jan 2006) to (Dec 2100) by 1.0 N= 1140 pts :grid
root mean sq detrended-bfl [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] [ X Y \|]	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 Y
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units