data: $integral dT$ [ $integral dT$ ( NASA GPCP V2 multi-satellite prcp ) climatology ]

served from IRI/LDEO Climate Data Library

∫dT [ ∫dT ( NASA GPCP V2 multi-satellite prcp ) climatology ]: precipitation data

V2 multi-satellite prcp int_dT int_dT int_dT 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 01-Jan) ordered (0000 1 Jan) to (0000 1 Jan) by 1.0 N= 13 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 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: 8.03755144032922×10^-11 meter second^-1 year²
history: Averaged over T2[16 Dec 1978 - 15 Dec 1979, 16 Dec 2006 - 15 Dec 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: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	T	X	Y
$integral dT$ [ $integral dT$ ( 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