data: $integral dX$ $integral dX$ $partialdiff sub T$ [ UCSB CHIRP v1p0 dekad prcp ]

∫dX ∫dX ∂_T [ UCSB CHIRP v1p0 dekad prcp ] : ∂_T precipitation data

CHIRP v1p0 dekad prcp partial_T int_dX int_dX ∂_T precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Time (time): grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1981) (0000 16 Jan 1981 - 1200 26 Jan 1981) (1200 26 Jan 1981 - 2400 5 Feb 1981) ... (6-15 May 2025)] N= 1597 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (179.975E) to (179.975W) by 0.05 N= 7202 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (49.95N) to (49.95S) by 0.05 N= 1999 pts :grid

Other Info

bufferwordsize: 8
CE: 600.0
colorscalename: prcp_dekadrate_max600_smooth
CS: 0.0
datatype: doublearraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
standard_name: lwe_precipitation_rate
units: 3.52566458086469×10^-12 meter radian² east second^-1
colorscale

References

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Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Sat, 11 Nov 2023 00:00:00 GMT

Data Views

	T	X	Y
$integral dX$ $integral dX$ $partialdiff sub T$ [ UCSB CHIRP v1p0 dekad prcp ] [ 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