served from maproom.metmalawi.gov.mw
max ∂T [ Malawi dekadal rainfall rfe_mergeddiff_percent climatology ] : ∂T Rainfall Difference Expressed as Percent of Long-Term Average (%) data
max ∂T [ Malawi dekadal rainfall rfe_mergeddiff_percent climatology ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.625E) to (36E) by 0.0375 N= 91 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.26875S) to (9.35625S) by 0.03750001 N= 212 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- units
- 0.12 year-1
- history
- $partialdiff sub T$ [ Malawi dekadal rainfall rfe_mergeddiff_percent climatology ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020]
max $partialdiff sub T$ [ Malawi dekadal rainfall rfe_mergeddiff_percent climatology ]- max over T[0000 26 Dec - 0000 6 Jan, 0000 26 Dec - 0000 6 Jan]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Thu, 02 Nov 2023 13:29:44 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 | |
 max $partialdiff sub T$ [ Malawi dekadal rainfall rfe_mergeddiff_percent 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