∫dX root mean sq detrended-bfl detrended-bfl ∫dX [ NASA GPCP V2 multi-satellite prcp ] : precipitation data
V2 multi-satellite prcp int_dX adif adif adif 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) ordered (1.25W) to (1.25E) by 2.5 N= 146 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 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
- 3.52566458086469×10-12 meter radian2 east second-1
- history
- Averaged over T[Jan 1979, Jun 2008] 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 X
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
X Y
|
RMS (root mean square with mean *not* removed) over
X
Y
|
X Y
|
RMSA (root mean square with mean removed) over
X
Y
|
X Y
|
Maximum over
X
Y
|
X Y
|
Minimum over
X
Y
|
X Y
|
Detrend (best-fit-line) over
X
Y
|
X Y
|
Note on units