data: root mean sq anom root mean sq anom [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation ]

served from digilib.icpac.net

root mean sq anom root mean sq anom [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation ] : Precipitation data

root mean sq anom root mean sq anom [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation ] .

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (11.74S) to (22.91N) by 0.05 N= 694 pts :grid

Other Info

bufferwordsize

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

root mean sq anom root mean sq anom [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation ]

Averaged over T[Jan 2006, Dec 2100] minimum 0.0% data present
Averaged over X[21.84E, 51.39E] minimum 0.0% data present

Last updated: Wed, 07 Jun 2017 10:44:03 GMT

Data Views

	Y
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	M
grid: /T (months since 1960-01-01) ordered (Jan 2006) to (Dec 2100) by 1.0 N= 1140 pts :grid
root mean sq anom root mean sq anom [ ICPAC Projections RCA-MPI rcp26 monthly GHA rainfall precipitation ] [ Y \|]	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 Y
Differentiate along Y
Take differences along Y