data: $partialdiff sub X$ $partialdiff sub X$ $integral dY$ $integral dY$ [ NASA msu precipitation ]

served from IRI/LDEO Climate Data Library

∂_X ∂_X ∫dY ∫dY [ NASA msu precipitation ] : ∂_X ∂_X precipitation data

precipitation int_dY int_dY partial_X partial_X ∂_X ∂_X precipitation from NASA msu: Gridded oceanic rainfall data from the Microwave Sounding Unit.

Independent Variables (Grids)

Time (time): grid: /T (julian_day) ordered (1 Jan 1979) to (31 May 1994) by 1.0 N= 5630 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (178.75E) to (176.25E) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (60N) to (60S) by 2.5 N= 49 pts :grid

Other Info

datatype: realarraytype
file_missing_value: -99.900002
missing_value: NaN
units: mm
standard units*: 0.001 meter

References

Spencer_Christy1990

Spencer_etal1990

Spencer_Christy1993

Last updated: Fri, 18 Sep 2015 18:39:07 GMT

Data Views

	T	X	Y
$partialdiff sub X$ $partialdiff sub X$ $integral dY$ $integral dY$ [ NASA msu precipitation ] [ X Y \| T]	M	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 T
Differentiate along X Y T
Take differences along X Y T