∫dT root mean sq detrended-bfl [ NASA GPCP V2 multi-satellite prcp ] : precipitation data
V2 multi-satellite prcp prcp prcp prcp prcp adif adif precipitation from NASA GPCP: Combined satellite-gauge precipitation estimates and error estimates from the Global Precipitation Climatology Project.
Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1979) to (0000 1 Jan 2004) by 1.0 N= 301 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (57.5S) to (7.5N) by 2.5 N= 27 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
- 9.64506172839506×10-10 meter second-1 year
- history
- Averaged over X[90W, 30W] minimum 0.0% data present
References
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PANIC: Invalid argument
PANIC: fatal region error detected; run recovery
PANIC: fatal region error detected; run recovery
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 Y
T
- Differentiate along Y
T
- Take differences along Y
T
Average over
Y
T
|
Y T
|
RMS (root mean square with mean *not* removed) over
Y
T
|
Y T
|
RMSA (root mean square with mean removed) over
Y
T
|
Y T
|
Maximum over
Y
T
|
Y T
|
Minimum over
Y
T
|
Y T
|
Detrend (best-fit-line) over
Y
T
|
Y T
|
Note on units