data: min $partialdiff sub T$ [ UCSB CHIRPS v1p8 dekad prcp ]

min ∂_T [ UCSB CHIRPS v1p8 dekad prcp ] : ∂_T precipitation data

CHIRPS v1p8 dekad prcp 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
Latitude (latitude): grid: /Y (degree_north) ordered (49.975N) to (49.975S) by 0.05 N= 2000 pts :grid

Other Info

bufferwordsize: 4
CE: 600.0
colorscalename: prcp_dekadrate_max600_smooth
CS: 0.0
datatype: realarraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
standard_name: lwe_precipitation_rate
units: mm /day
standard units*: 1.15740740740741×10^-08 meter second^-1
history: min over T[0000 11 Jan 1981 - 0600 21 Jan 1981, 21-30 Apr 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: Tue, 01 Jul 2025 00:00:00 GMT

Data Views

	X	Y
min $partialdiff sub T$ [ UCSB CHIRPS v1p8 dekad prcp ] [ X Y \|]	M	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 Y
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units