served from IRI/LDEO Climate Data Library
root mean sq detrended-bfl [ NASA GPCP V2 multi-satellite prcp ] : precipitation data
V2 multi-satellite prcp adif precipitation from NASA GPCP: Combined satellite-gauge precipitation estimates and error estimates from the Global Precipitation Climatology Project. isIndependent 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
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- 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
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
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