served from maproom.metmalawi.gov.mw
mean ∂T [ ∂Y ( UCSB CHIRP v1p0 dekad prcp ) climatology ] : ∂T ∂Y precipitation data
CHIRP v1p0 dekad prcp partial_Y partial_Y partial_Y partial_Y partial_T ∂T ∂Y precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.95W) to (180.0W) by 0.05 N= 7200 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (49.925N) to (49.925S) by 0.05 N= 1998 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
- 0.687549354156988 meter radian-1 north year-1
- history
- mean $partialdiff sub T$ [ $partialdiff sub Y$ ( UCSB CHIRP v1p0 dekad prcp ) climatology ]
- Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over T[0000 26 Dec - 0000 6 Jan, 0000 26 Dec - 0000 6 Jan] minimum 0.0% data present
- Averaged over T2[1981, 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: Sat, 11 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 mean $partialdiff sub T$ [ $partialdiff sub Y$ ( UCSB CHIRP v1p0 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