served from IRI/LDEO Climate Data Library
∫dY [ UCSB CHIRPS v2p0 monthly global precipitation ]: CHIRPS precipitation data
CHIRPS v2p0 monthly global precipitation CHIRPS precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Feb 2024) by 1.0 N= 518 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (179.95E) by 0.05 N= 7200 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (50N) to (50S) by 0.05 N= 2001 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 1500.0
- colorscalename
- prcp_monthlyrate_max1500_smooth
- CS
- 0.0
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- lwe_precipitation_rate
- units
- 0.00020943951023932 meter radian north year-1
- colorscale
References
Funk_etal2014Last updated: Wed, 13 Mar 2024 21:30:12 GMT
Expires: Mon, 01 Apr 2024 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 | |
 $integral dY$ [ UCSB CHIRPS v2p0 monthly global precipitation ][ 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