root mean sq [ NASA GPCP V2 multi-satellite prcp ]: precipitation data
V2 multi-satellite prcp prcp prcp prcp 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
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- Averaged over X[90W, 30W] Y[60S, 10N] T[Jan 1979, Dec 2003] minimum 0.0% data present
References
Huffman_etal1997
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
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