data: UCSB CHIRPS v2p0 daily-improved global 0p25 prcp

served from IRI/LDEO Climate Data Library

UCSB CHIRPS v2p0 daily-improved global 0p25 prcp: precipitation data

global 0p25 prcp prcp prcp precipitation from UCSB CHIRPS v2p0 daily-improved: Daily CHIRPS v2.0 data with improved temporal downscaling procedure.

Independent Variables (Grids)

Time (time): grid: /T (julian_day) ordered (1 Jan 1981) to (29 Feb 2024) by 1.0 N= 15765 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (80W) to (66W) by 0.25 N= 57 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (5.125S) to (14.125N) by 0.25 N= 78 pts :grid

Other Info

bufferwordsize: 4
CE: 100.0
colorscalename: prcp_dailyrate_max100_smooth
CS: 0.0
datatype: realarraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
pointwidth: 1.0
standard_name: lwe_precipitation_rate
units: mm /day
standard units*: 1.15740740740741×10^-08 meter second^-1
history: created by Climate Hazards Center
colorscale

References

Funk_etal2014

Last updated: Wed, 13 Mar 2024 21:53:42 GMT
Expires: Mon, 01 Apr 2024 00:00:00 GMT

Data Views

	T	X	Y
UCSB CHIRPS v2p0 daily-improved global 0p25 prcp[ 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