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

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

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

Independent Variables (Grids)

longitude (longitude): grid: /X (degree_east) ordered (21.84E) to (51.39E) by 0.05 N= 592 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 [ ICPAC Projections RCA-MPI hist monthly GHA rainfall precipitation climatology ]

Averaged over T2[1951, 2005] minimum 0.0% data present
Averaged over Y[11.74S, 22.91N] T[Jan, Dec] minimum 0.0% data present

Last updated: Thu, 17 Dec 2020 09:40:23 GMT

Data Views

	X
ICPAC Projections RCA-MPI hist monthly GHA rainfall[precipitation ]
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
grid: /T (months since 1960-01-01) ordered (Jan 1951) to (Dec 2005) by 1.0 N= 660 pts :grid
root mean sq anom [ ICPAC Projections RCA-MPI hist monthly GHA rainfall precipitation climatology ][ X \|]	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
Differentiate along X
Take differences along X