served from maproom.metmalawi.gov.mw
root mean sq anom ∂Y [ ∫dX ( UCSB CHIRPS v1p8 dekad prcp ) climatology ] : ∂Y precipitation data
CHIRPS v1p8 dekad prcp int_dX int_dX partial_Y ∂Y precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- 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
- 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
- mm
- standard units*
- 0.001 meter
- history
- root mean sq anom $partialdiff sub Y$ [ $integral dX$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ]
- Averaged over T2[1981, 2357 30 Dec 2023 - 2357 30 Dec 2024] minimum 0.0% data present
Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan] minimum 0.0% data present
- Averaged over T2[1981, 2357 30 Dec 2023 - 2357 30 Dec 2024] minimum 0.0% data present
References
Funk, C. C, Peterson, P. J., Landsfeld, M. F., Pedreros, D. H., Verdin, J. P., Rowland, J. D., Romero, B. E., Husak, G. J. Michaelsen, J. C., and Verdin, A. P., 2014, A quasi-global precipitation time series for drought monitoring: U. S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832.
Last updated: Thu, 02 Nov 2023 07:43:25 GMT
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| X | Y | |
 root mean sq anom $partialdiff sub Y$ [ $integral dX$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ] [ X Y |] | M | M |
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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