data: min [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies climatology ]

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min [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies climatology ]: Precipitation data

min [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies climatology ].

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

CE

null

colorscalename

precip_colors

CS

null

datatype

realarraytype

file_missing_value

1.00000002E20

maxncolor

254

missing_value

NaN

units

kg /m /s²

standard units*

kilogram meter^-1 second^-2

history

ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies climatology

Averaged over T2[2006, 2100] minimum 0.0% data present
Averaged over T2[2006, 2100] minimum 0.0% data present

min [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies climatology ]

min over T[Jan, Dec]

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

Data Views

	X	Y
min [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation anomalies climatology ][ 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