data: $partialdiff sub X$ detrended-bfl $partialdiff sub T$ [ UCSB CHIRPS v2p0 daily global 0p05 prcp ]

∂_X detrended-bfl ∂_T [ UCSB CHIRPS v2p0 daily global 0p05 prcp ] : ∂_X ∂_T precipitation data

CHIRPS v2p0 daily global 0p05 prcp partial_T adif ∂_X ∂_T precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Time (time): grid: /T (julian_day) ordered (1200 1 Jan 1981 - 1200 2 Jan 1981) to (1200 30 Apr 2025 - 1200 1 May 2025) by 1.0 N= 16191 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic [ (179.95W) (179.9W) (179.85W) ... (179.95E)] 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

CE: null
colorscalename: prcp_dailyrate_max100_smooth
CS: null
datatype: realarraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
pointwidth: 1.0
standard_name: lwe_precipitation_rate
units: 7.67529625250269×10^-12 meter radian^-1 east second^-2
history: created by Climate Hazards Group

References

Funk, C. C, Peterson, P. J., Landsfeld, M. F., Pedreros, D. H., Verdin, J. P., Rowland, J. D., Romero, B. E., Husak, G. J. Michaelsen, J. C., and Verdin, A. P., 2014, A quasi-global precipitation time series for drought monitoring: U. S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832.

Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Tue, 01 Jul 2025 00:00:00 GMT

Data Views

	T	X	Y
$partialdiff sub X$ detrended-bfl $partialdiff sub T$ [ UCSB CHIRPS v2p0 daily global 0p05 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