root mean sq X ∫dT [ ∫dX ( NASA GPCP V2 multi-satellite prcp ) anomalies ] : X precipitation data

V2 multi-satellite prcp int_dX int_dX int_dT int_dT partial_X X 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
9.64506172839507×10-10 meter second-1 year
history
root mean sq $partialdiff sub X$ $integral dT$ [ $integral dX$ ( NASA GPCP V2 multi-satellite prcp ) anomalies ]
Averaged over T2[1979, 2007] minimum 0.0% data present
Averaged over X[0, 0] Y[90S, 90N] T[Jan 1979, Jun 2008] 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

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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. 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
Convert units from 9.64506172839507e-10 meter second-1 year to

Note on units