data: UCSB CHIRPS v2p0 monthly global precipitation

served from IRI/LDEO Climate Data Library

UCSB CHIRPS v2p0 monthly global precipitation: CHIRPS precipitation data

CHIRPS v2p0 monthly global CHIRPS precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Feb 2024) by 1.0 N= 518 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (180W) to (179.95E) by 0.05 N= 7200 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (49.975N) to (49.975S) by 0.05 N= 2000 pts :grid

Other Info

bufferwordsize: 4
CE: 1500.0
colorscalename: prcp_monthlyrate_max1500_smooth
CS: 0.0
datatype: realarraytype
maxncolor: 254
missing_value: -9999.0
pointwidth: 1.0
scale_max: 1500.0
scale_min: 0.0
standard_name: lwe_precipitation_rate
units: mm /month
standard units*: 0.012 meter year^-1
colorscale

References

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Last updated: Wed, 13 Mar 2024 21:30:12 GMT
Expires: Mon, 01 Apr 2024 00:00:00 GMT

Data Views

	T	X	Y
UCSB CHIRPS v2p0 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