max ∫dX ∂Y [ UCSB CHIRPS v2p0 monthly global c8113 precipitation ] : ∂Y CHIRPS precipitation data
precipitation precipitation partial_Y int_dX
∂Y CHIRPS precipitation from UCSB CHIRPS v2p0 monthly global c8113: 1981-2013 climatology.
Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (179.975E) to (179.975E) by 0.05 N= 7201 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- prcp_monthlyrate_max1500_smooth
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- lwe_precipitation_rate
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- max $integral dX$ $partialdiff sub Y$ [ UCSB CHIRPS v2p0 monthly global c8113 precipitation ]
- Averaged over T2[1981, 2013] minimum 0.0% data present
max over Y[49.95N, 49.95S]
References
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Funk_etal2014
Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Sun, 01 Feb 2026 00:00:00 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
T
- Differentiate along X
T
- Take differences along X
T
Average over
X
T
|
X T
|
RMS (root mean square with mean *not* removed) over
X
T
|
X T
|
RMSA (root mean square with mean removed) over
X
T
|
X T
|
Maximum over
X
T
|
X T
|
Minimum over
X
T
|
X T
|
Detrend (best-fit-line) over
X
T
|
X T
|
Note on units