served from maproom.metmalawi.gov.mw
min [ ∫dX ∂T ( Malawi monthly rainfall rfe ) anomalies ]: ∂T Rainfall Amount data
min [ ∫dX ∂T ( Malawi monthly rainfall rfe ) anomalies ].Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.60625E) to (36.01875E) by 0.03749998 N= 92 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
- missing_value
- NaN
- units
- 0.00020943951023932 meter radian east year-1
- history
- $integral dX$ $partialdiff sub T$ [ Malawi monthly rainfall rfe ]
Boxes with less than 0.0% dropped
- $integral dX$ $partialdiff sub T$ [ Malawi monthly rainfall rfe ] climatology
- Boxes with less than 0.0% dropped
Averaged over T2[16 Jan 1982 - 15 Jan 1983, 16 Jan 2000 - 15 Jan 2001] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- min over T[16 Jan 1982 - 15 Feb 1982, 16 Nov 2001 - 15 Dec 2001]
- $integral dX$ $partialdiff sub T$ [ 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
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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