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∫dX [ UCSB CHIRPS v1p8 dekad prcp ] climatology: precipitation data
CHIRPS v1p8 dekad prcp int_dX int_dX precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan - 0000 11 Jan) to (0000 21 Dec - 0000 1 Jan) by 0.3333335 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
- 1.74532925199433×10-05 meter radian east
- history
- Averaged over T2[1981, 2357 30 Dec 2023 - 2357 30 Dec 2024] minimum 0.0% data present
References
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Expires: Tue, 01 Jul 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dX$ [ 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
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units