served from maproom.metmalawi.gov.mw
∂T [ ∂T ( Malawi monthly rainfall rfe anomalies ) climatology ]: ∂T ∂T Rainfall Amount data
∂T [ ∂T ( Malawi monthly rainfall rfe anomalies ) climatology ].Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (0000 16 Feb - 1200 16 Mar) (1200 16 Mar - 2400 15 Apr) (0000 16 Apr - 1200 16 May) (1200 16 May - 2400 15 Jun) (0000 16 Jun - 1200 16 Jul) (1200 16 Jul - 1200 16 Aug) (1200 16 Aug - 2400 15 Sep) (0000 16 Sep - 1200 16 Oct) (1200 16 Oct - 2400 15 Nov) (0000 16 Nov - 1200 16 Dec) (1200 16 Dec - 1200 16 Jan 0001)] :grid
- 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 (17.2875S) to (9.3375S) by 0.03750001 N= 213 pts :grid
Other Info
- CE
- null
- Conventions
- COARDS
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.38888888888889×10-07 meter second-1 year-1
- history
- Malawi monthly rainfall rfe
Boxes with less than 0.0% dropped
- Malawi monthly rainfall rfe climatology
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2020] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- Averaged over T2[Feb 1981 - Jan 1982, Feb 2019 - Jan 2020] minimum 0.0% data present
- 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| T | X | Y | |
 $partialdiff sub T$ [ $partialdiff sub T$ ( Malawi monthly rainfall rfe anomalies ) climatology ][ 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