served from maproom.metmalawi.gov.mw
root mean sq detrended-bfl [ UCSB CHIRPS v1p8 monthly global precipitation ] : CHIRPS precipitation data
CHIRPS v1p8 monthly global precipitation adif adif CHIRPS precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Apr 2025) by 1.0 N= 532 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (179.95E) by 0.05 N= 7200 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
- mm /month
- standard units*
- 0.012 meter year-1
- history
- Averaged over Y[49.975S, 49.975N] minimum 0.0% data present
References
Redland error: Cannot add statement to modelLast updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Sun, 01 Jun 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
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 T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units