data: root mean sq anom [ $partialdiff sub T$ ( UCSB CHIRPS v1p8 monthly global precipitation ) climatology ]

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root mean sq anom [ ∂_T ( UCSB CHIRPS v1p8 monthly global precipitation ) climatology ]: ∂_T CHIRPS precipitation data

CHIRPS v1p8 monthly global precipitation partial_T partial_T ∂_T CHIRPS precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

prcp_monthlyrate_max1500_smooth

CS

null

datatype

doublearraytype

file_missing_value

-9999.0

maxncolor

254

missing_value

NaN

pointwidth

1.0

standard_name

lwe_precipitation_rate

units

0.144 meter year^-2

history

root mean sq anom [ $partialdiff sub T$ ( UCSB CHIRPS v1p8 monthly global precipitation ) climatology ]

Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 2024 - 15 Jan 2025] minimum 0.0% data present
Averaged over X[180W, 179.95E] Y[49.975N, 49.975S] 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: Sun, 01 Jun 2025 00:00:00 GMT

Data Views

	T
root mean sq anom [ $partialdiff sub T$ ( UCSB CHIRPS v1p8 monthly global precipitation ) climatology ][ T \|]	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 T
Differentiate along T
Take differences along T