served from maproom.metmalawi.gov.mw
detrended-bfl ∫dT [ Malawi dekadal rainfall rfe_merged_vs_meanrfe_merged ] : Rainfall data Expressed as Percentages of the Long-Term Average data
detrended-bfl ∫dT [ Malawi dekadal rainfall rfe_merged_vs_meanrfe_merged ] .Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1981) (0000 11 Jan 1981) (0000 21 Jan 1981) ... (0000 1 Jan 2021)] N= 1441 pts :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
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- units
- 864 second
- history
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
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 | |
 detrended-bfl $integral dT$ [ Malawi dekadal rainfall rfe_merged_vs_meanrfe_merged ] [ X Y | T] | M | 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 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