data: root mean sq anom [ UCSB CHIRPS v1p8 monthly global precipitation anomalies ]

root mean sq anom [ UCSB CHIRPS v1p8 monthly global precipitation anomalies ]: CHIRPS precipitation data

CHIRPS v1p8 monthly global precipitation precipitation precipitation precipitation CHIRPS 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

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

mm /month

standard units*

0.012 meter year^-1

history

root mean sq anom [ UCSB CHIRPS v1p8 monthly global precipitation anomalies ]

Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over Y[49.95N, 49.95S] T[Jan 1981, Apr 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: Sun, 01 Jun 2025 00:00:00 GMT

Data Views

	X
root mean sq anom [ UCSB CHIRPS v1p8 monthly global precipitation 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