served from maproom.metmalawi.gov.mw
min ∫dY ∫dX [ Malawi monthly rainfall rfe ] : Rainfall Amount data
min ∫dY ∫dX [ Malawi monthly rainfall rfe ] .Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Dec 1989) to (Nov 1999) by 1.0 N= 120 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.30625S) to (9.318749S) by 0.0375 N= 214 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 3.04617419786709×10-07 meter radian2 north
- history
- min $integral dY$ $integral dX$ [ Malawi monthly rainfall rfe ]
- Boxes with less than 0.0% dropped
min over X[32.60625E, 36.01875E]
- 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| T | Y | |
 grid: /X (degree_east) ordered (32.60625E) to (36.01875E) by 0.03749998 N= 92 pts :grid | ||
| grid: /Y (degree_north) ordered (17.30625S) to (9.318749S) by 0.0375 N= 214 pts :grid | M | |
| grid: /T (months since 1960-01-01) ordered (Dec 1989) to (Nov 1999) by 1.0 N= 120 pts :grid | M | |
 min $integral dY$ $integral dX$ [ Malawi monthly rainfall rfe ] [ Y | T] | M | M |
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units