served from maproom.metmalawi.gov.mw
mean ∫dT [ ∂X ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology anomalies ] : ∂X Rainfall Difference Expressed as Percent of Long-Term Average (%) data
mean ∫dT [ ∂X ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology anomalies ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.64375E) to (35.98125E) by 0.03750002 N= 90 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.2875S) to (9.3375S) by 0.03750001 N= 213 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- units
- 0.0477464829275686 radian-1 east year
- history
- $partialdiff sub X$ [ 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]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- $partialdiff sub X$ [ Malawi dekadal rainfall rfe_mergeddiff_percent ] climatology climatology
- $partialdiff sub X$ [ 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]
Averaged over T2=0000 1 Jan 1960 - 0000 1 Jan 1961 - Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- $partialdiff sub X$ [ Malawi dekadal rainfall rfe_mergeddiff_percent ] climatology
- Averaged over T[0000 1 Jan 1960, 0000 1 Jan 1961]
- $partialdiff sub X$ [ Malawi dekadal rainfall rfe_mergeddiff_percent ] climatology
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 | |
 mean $integral dT$ [ $partialdiff sub X$ ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology anomalies ] [ 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