data: detrended-bfl detrended-bfl detrended-bfl $integral dX$ detrended-bfl $integral dT$ $integral dT$ $integral dY$ $integral dT$ [ NASA GPCP V2 multi-satellite prcp climatology ]

served from IRI/LDEO Climate Data Library

detrended-bfl detrended-bfl detrended-bfl ∫dX detrended-bfl ∫dT ∫dT ∫dY ∫dT [ NASA GPCP V2 multi-satellite prcp climatology ] : precipitation data

V2 multi-satellite prcp prcp prcp prcp int_dT int_dY int_dY int_dT int_dT int_dT int_dT adif int_dX adif adif precipitation from NASA GPCP: Combined satellite-gauge precipitation estimates and error estimates from the Global Precipitation Climatology Project.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (0000 16 Dec 1959) to (0000 16 Feb 1961) by 1.0 N= 15 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (3.75E) to (3.75E) by 2.5 N= 145 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -99999.0
missing_value: NaN
pointwidth: 0
technique: Multi-Satellite
units: 2.04031515096336×10^-15 meter radian² east second^-1 year³
history: Averaged over T2[1979, 2007] minimum 0.0% data present

References

Huffman, G. J., R.F. Adler, P.A. Arkin, A. Chang, R. Ferraro, A. Gruber, J. Janowiak, R.J. Joyce, A. McNab, B. Rudolf, U. Schneider, and P. Xie, 1997: The Global Precipitation Climatology Project (GPCP) Combined Precipitation Data Set. Bull. Amer. Meteor. Soc., 78, 5-20.

Last updated: Mon, 12 Sep 2016 21:33:37 GMT

Data Views

	T	X	Y
detrended-bfl detrended-bfl detrended-bfl $integral dX$ detrended-bfl $integral dT$ $integral dT$ $integral dY$ $integral dT$ [ NASA GPCP V2 multi-satellite prcp climatology ] [ 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