root mean sq [ ∫dY ∂T ( UCSB CHIRPS v1p8 monthly global precipitation ) anomalies ]: ∂T CHIRPS precipitation data
CHIRPS v1p8 monthly global precipitation partial_T int_dY int_dY
∂T CHIRPS precipitation from UCSB: UC Santa Barbara.
Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1981 - 15 Feb 1981) to (16 Nov 2025 - 15 Dec 2025) by 1.0 N= 539 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (179.95E) by 0.05 N= 7200 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
- 0.00251327412287183 meter radian north year-2
- history
- root mean sq [ $integral dY$ $partialdiff sub T$ ( UCSB CHIRPS v1p8 monthly global precipitation ) anomalies ]
- Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 2024 - 15 Jan 2025] minimum 0.0% data present
Averaged over Y[50S, 50N] minimum 0.0% data present
References
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