root mean sq root mean sq ∂T [ NASA GPCP V2 multi-satellite prcp ] : ∂T precipitation data
V2 multi-satellite prcp partial_T partial_T
∂T precipitation from NASA GPCP: Combined satellite-gauge precipitation estimates and error estimates from the Global Precipitation Climatology Project.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99999.0
- missing_value
- NaN
- pointwidth
- 0
- technique
- Multi-Satellite
- units
- 1.38888888888889×10-07 meter second-1 year-1
- history
- root mean sq root mean sq $partialdiff sub T$ [ NASA GPCP V2 multi-satellite prcp ]
- Averaged over Y[90S, 90N] minimum 0.0% data present
Averaged over T[16 Jan 1979 - 15 Feb 1979, 16 May 2008 - 15 Jun 2008] minimum 0.0% data present
References
Huffman_etal1997
Last updated: Mon, 12 Sep 2016 21:33:37 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 X
- Differentiate along X
- Take differences along X
Average over
X
|
RMS (root mean square with mean *not* removed) over
X
|
RMSA (root mean square with mean removed) over
X
|
Maximum over
X
|
Minimum over
X
|
Detrend (best-fit-line) over
X
|
Note on units