data: $integral dT$ detrended-bfl $integral dT$ $integral dY$ $integral dY$ [ NASA msu precipitation ]

served from IRI/LDEO Climate Data Library

∫dT detrended-bfl ∫dT ∫dY ∫dY [ NASA msu precipitation ] : precipitation data

precipitation int_dY int_dY int_dT adif precipitation from NASA msu: Gridded oceanic rainfall data from the Microwave Sounding Unit.

Independent Variables (Grids)

Time (time): grid: /T (julian_day) ordered (1200 31 Dec 1978) to (1200 1 Jun 1994) by 1.0 N= 5632 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (178.75W) to (178.75E) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (61.25N) to (61.25S) by 2.5 N= 50 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -99.900002
missing_value: NaN
units: 2273.95685401099 meter radian² north second²

References

Spencer, R.W. and J.R. Christy, 1990: Precise monitoring of global temperature trends from satellites. Science, 247, 1558-1562.

Spencer, R.W., J.R. Christy, and N.C. Grody, 1990: Global atmospheric temperature monitoring with satellite microwave measurements: Methods and results 1979-84. J. Climate, 3, 1111-1128.

Spencer, R.W. and J.R. Christy, 1993: Precision lower stratospheric temperature monitoring with the MSU: Technique, validation, and results 1979-91. J. Climate, 6, 1194-1204.

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

Data Views

	T	X	Y
$integral dT$ detrended-bfl $integral dT$ $integral dY$ $integral dY$ [ 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