served from maproom.metmalawi.gov.mw
root mean sq ∂Y ∂Y [ UCSB CHIRPS v1p8 monthly global precipitation ] : ∂Y ∂Y CHIRPS precipitation data
CHIRPS v1p8 monthly global precipitation precipitation partial_Y partial_Y partial_Y ∂Y ∂Y CHIRPS precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.975W) to (179.975E) by 0.05 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_monthlyrate_max1500_smooth
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- lwe_precipitation_rate
- units
- 39.3936762001409 meter radian-2 north year-1
- history
- Averaged over T[Jan 1981, Dec 2025] minimum 0.0% data present
References
Funk_etal2014Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Sun, 01 Feb 2026 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 root mean sq $partialdiff sub Y$ $partialdiff sub Y$ [ UCSB CHIRPS v1p8 monthly global precipitation ] [ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units