served from maproom.metmalawi.gov.mw
detrended-bfl [ detrended-bfl ( ∫dX { Malawi dekadal rainfall rfe } climatology ) anomalies ]: Merged Station-Satellite Rainfall data
detrended-bfl [ detrended-bfl ( ∫dX { Malawi dekadal rainfall rfe } climatology ) anomalies ].Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan - 0000 11 Jan) to (0000 21 Dec - 0000 1 Jan) by 0.3333335 N= 36 pts :grid
- 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
- 1.74532925199433×10-05 meter radian east
- history
- detrended-bfl [ $integral dX$ ( Malawi dekadal rainfall rfe ) climatology ]
Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
- detrended-bfl [ $integral dX$ ( Malawi dekadal rainfall rfe ) climatology ] climatology
- Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Averaged over T2=0000 1 Jan 1960 - 0000 1 Jan 1961 minimum 0.0% data present
- Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
- detrended-bfl [ $integral dX$ ( Malawi dekadal rainfall rfe ) climatology ]
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 [ detrended-bfl ( $integral dX$ { Malawi dekadal rainfall rfe } climatology ) anomalies ][ 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