data: $partialdiff sub Y$ $integral dX$ [ $integral dT$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ]

∂_Y ∫dX [ ∫dT ( UCSB CHIRPS v1p8 dekad prcp ) climatology ] : ∂_Y precipitation data

CHIRPS v1p8 dekad prcp int_dT int_dT int_dX ∂_Y precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (180W) to (180) by 0.05 N= 7201 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (49.95N) to (49.95S) by 0.05 N= 1999 pts :grid

Other Info

CE: null
colorscalename: prcp_dekadrate_max600_smooth
CS: null
datatype: realarraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
standard_name: lwe_precipitation_rate
units: 86.3999999999999 meter second
history: Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present

References

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Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Tue, 01 Jul 2025 00:00:00 GMT

Data Views

	T	X	Y
$partialdiff sub Y$ $integral dX$ [ $integral dT$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ] [ X Y T \|]	M	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 T
Differentiate along X Y T
Take differences along X Y T