served from maproom.metmalawi.gov.mw
mean [ ∂T ( Malawi monthly rainfall rfe ) anomalies ]: ∂T Rainfall Amount data
mean [ ∂T ( Malawi monthly rainfall rfe ) anomalies ]. isIndependent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered [ (34.0125E)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered [ (13.5S)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- $partialdiff sub T$ [ Malawi monthly rainfall rfe ]
Boxes with less than 0.0% dropped
- $partialdiff sub T$ [ Malawi monthly rainfall rfe ] climatology
- Boxes with less than 0.0% dropped
Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 2019 - 15 Jan 2020] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- Averaged over T[16 Jan 1981 - 15 Feb 1981, 16 Nov 2020 - 15 Dec 2020] minimum 0.0% data present
- $partialdiff sub T$ [ Malawi monthly rainfall rfe ]
Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Sat, 11 Nov 2023 00:00:00 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units