data: detrended-bfl $partialdiff sub Y$ $partialdiff sub Y$ [ UCSB CHIRPS v1p8 monthly global precipitation ]

detrended-bfl ∂_Y ∂_Y [ UCSB CHIRPS v1p8 monthly global precipitation ] : ∂_Y ∂_Y CHIRPS precipitation data

CHIRPS v1p8 monthly global precipitation precipitation partial_Y partial_Y partial_Y ∂_Y ∂_Y CHIRPS precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Dec 2025) by 1.0 N= 540 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (179.975W) to (179.975E) by 0.05 N= 7200 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (49.89999N) to (49.89999S) by 0.04999999 N= 1997 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: 39.3936762001409 meter radian^-2 north year^-1

References

Funk_etal2014

Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Sun, 01 Feb 2026 00:00:00 GMT

Data Views

	T	X	Y
detrended-bfl $partialdiff sub Y$ $partialdiff sub Y$ [ UCSB CHIRPS v1p8 monthly global precipitation ] [ X Y \| T]	M	M	M

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 T
Differentiate along X Y T
Take differences along X Y T