served from maproom.metmalawi.gov.mw
∫dT ∫dT ∂T ∂X [ Malawi monthly rainfall rfe ] : ∂T ∂X Rainfall Amount data
∫dT ∫dT ∂T ∂X [ Malawi monthly rainfall rfe ] .Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (0000 18 Jan 1981) (0000 15 Feb 1981) (1200 16 Mar 1981) ... (0000 16 Dec 2020)] N= 480 pts :grid
- 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
- missing_value
- NaN
- units
- 5132528426.80775 meter radian-1 east second2 year-1
- history
- Boxes with less than 0.0% dropped
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| T | X | Y | |
 $integral dT$ $integral dT$ $partialdiff sub T$ $partialdiff sub X$ [ Malawi monthly rainfall rfe ] [ X Y | T] | M | 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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units