data: root mean sq anom $integral dX$ $partialdiff sub T$ [ UCSB CHIRPS v1p8 dekad prcp climatology ]

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root mean sq anom ∫dX ∂_T [ UCSB CHIRPS v1p8 dekad prcp climatology ] : ∂_T precipitation data

CHIRPS v1p8 dekad prcp prcp partial_T int_dX ∂_T precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (49.975N) to (49.975S) by 0.05 N= 2000 pts :grid

Other Info

bufferwordsize

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

0.00020943951023932 meter radian east year^-1

history

root mean sq anom $integral dX$ $partialdiff sub T$ [ UCSB CHIRPS v1p8 dekad prcp climatology ]

Averaged over T2[1981, 2357 30 Dec 2023 - 2357 30 Dec 2024] minimum 0.0% data present
Averaged over X[180W, 180] T[0000 26 Dec - 0000 6 Jan, 0000 26 Dec - 0000 6 Jan] 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
root mean sq anom $integral dX$ $partialdiff sub T$ [ UCSB CHIRPS v1p8 dekad prcp climatology ] [ 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