data: $partialdiff sub T$ $partialdiff sub Y$ $partialdiff sub T$ [ NASA GPCP V2 multi-satellite prcp ] anomalies

served from IRI/LDEO Climate Data Library

∂_T ∂_Y ∂_T [ NASA GPCP V2 multi-satellite prcp ] anomalies: ∂_T ∂_Y ∂_T precipitation data

V2 multi-satellite prcp partial_T partial_Y partial_T ∂_T ∂_Y ∂_T 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 (Feb 1979) to (May 2008) by 1.0 N= 352 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 (87.5N) to (87.5S) by 2.5 N= 71 pts :grid

Other Info

bufferwordsize: 4
CE: null
CS: null
datatype: realarraytype
file_missing_value: -99999.0
missing_value: NaN
pointwidth: 0
technique: Multi-Satellite
units: 9.54929658551372×10^-05 meter radian^-1 north second^-1 year^-2
history: Averaged over T2[Feb 1979 - Jan 1980, Feb 2007 - Jan 2008] minimum 0.0% data present

References

Huffman_etal1997

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

Data Views

	T	X	Y
$partialdiff sub T$ $partialdiff sub Y$ $partialdiff sub T$ [ NASA GPCP V2 multi-satellite prcp ] anomalies[ 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