data: $integral dT$ $partialdiff sub X$ $partialdiff sub Y$ [ UCSB CHIRP v1p0 dekad prcp ]

∫dT ∂_X ∂_Y [ UCSB CHIRP v1p0 dekad prcp ] : ∂_X ∂_Y precipitation data

CHIRP v1p0 dekad prcp partial_Y partial_Y partial_X partial_X ∂_X ∂_Y precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1981) (0000 11 Jan 1981) (0000 21 Jan 1981) ... (0000 21 Dec 2025)] N= 1620 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic [ (179.95W) (179.9W) (179.85W) ... (179.95E)] N= 7200 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (49.89999N) to (49.89999S) by 0.04999999 N= 1997 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: prcp_dekadrate_max600_smooth
CS: null
datatype: doublearraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
standard_name: lwe_precipitation_rate
units: 283634.468641014 meter radian^-2 north second

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
$integral dT$ $partialdiff sub X$ $partialdiff sub Y$ [ 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