data: mean $partialdiff sub Y$ $partialdiff sub X$ [ UCSB CHIRPS v1p8 dekad prcp ]

mean ∂_Y ∂_X [ UCSB CHIRPS v1p8 dekad prcp ] : ∂_Y ∂_X precipitation data

CHIRPS v1p8 dekad prcp partial_X partial_Y ∂_Y ∂_X precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (49.95N) to (49.95S) by 0.05 N= 1999 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: prcp_dekadrate_max600_smooth
CS: null
datatype: doublearraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
standard_name: lwe_precipitation_rate
units: 3.28280635001174 meter radian^-2 east
history: Averaged over X[179.975W, 179.975E] T[1-10 Jan 1981, 0144 11 May 2025] minimum 0.0% data present

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

	Y
mean $partialdiff sub Y$ $partialdiff sub X$ [ UCSB CHIRPS v1p8 dekad prcp ] [ Y \|]	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 Y
Differentiate along Y
Take differences along Y