data: root mean sq $integral dX$ [ NASA GPCP V2 multi-satellite prcp ]

served from IRI/LDEO Climate Data Library

root mean sq ∫dX [ NASA GPCP V2 multi-satellite prcp ] : precipitation data

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

Independent Variables (Grids)

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -99999.0
missing_value: NaN
pointwidth: 0
technique: Multi-Satellite
units: 2.02005700462307×10^-10 meter radian east second^-1
history: Averaged over X[0, 0] Y[90S, 90N] T[Jan 1979, Jun 2008] minimum 0.0% data present

References

Huffman_etal1997

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

Data Views

[ |]

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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units