data: min $partialdiff sub T$ [ $partialdiff sub X$ ( $partialdiff sub Y$ { UCSB CHIRPS v1p8 dekad prcp } climatology ) anomalies ]

min ∂_T [ ∂_X ( ∂_Y { UCSB CHIRPS v1p8 dekad prcp } climatology ) anomalies ] : ∂_T ∂_X ∂_Y precipitation data

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

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic [ (179.95W) (179.9W) (179.85W) ... (179.95E)] N= 7200 pts :grid

Other Info

CE

null

colorscalename

prcp_dekadrate_max600_smooth

CS

null

datatype

realarraytype

file_missing_value

-9999.0

maxncolor

254

missing_value

NaN

standard_name

lwe_precipitation_rate

units

39.3936762001409 meter radian^-2 north year^-1

history

$partialdiff sub X$ [ $partialdiff sub Y$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ]
Averaged over T2[1981, 2024] minimum 0.0% data present

$partialdiff sub X$ [ $partialdiff sub Y$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ] climatology

Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over T2=0000 1 Jan 1960 - 0000 1 Jan 1961 minimum 0.0% data present

min $partialdiff sub T$ [ $partialdiff sub X$ ( $partialdiff sub Y$ { UCSB CHIRPS v1p8 dekad prcp } climatology ) anomalies ]

min over Y[49.95N, 49.95S] T[0000 26 Dec - 0000 6 Jan, 0000 26 Dec - 0000 6 Jan]

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: Sun, 01 Feb 2026 00:00:00 GMT

Data Views

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min $partialdiff sub T$ [ $partialdiff sub X$ ( $partialdiff sub Y$ { UCSB CHIRPS v1p8 dekad prcp } climatology ) anomalies ] [ X \|]	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
Differentiate along X
Take differences along X