data: min $partialdiff sub T$ [ UCSB CHIRPS v2p0 daily global 0p05 prcp ]

served from maproom.metmalawi.gov.mw

min ∂_T [ UCSB CHIRPS v2p0 daily global 0p05 prcp ] : ∂_T precipitation data

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

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (179.975W) to (179.975E) by 0.05 N= 7200 pts :grid

Other Info

bufferwordsize

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

1.33959190672154×10^-13 meter second^-2

history

min $partialdiff sub T$ [ UCSB CHIRPS v2p0 daily global 0p05 prcp ]

created by Climate Hazards Group
min over Y[49.975N, 49.975S] T[1200 1 Jan 1981 - 1200 2 Jan 1981, 1200 30 Nov 2025 - 1200 1 Dec 2025]

colorscale

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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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