served from maproom.metmalawi.gov.mw
∂Y ∂X [ Malawi dekadal rainfall SPI_1_dekad ] : ∂Y ∂X Standard Precipitation Index 1-dekad data
∂Y ∂X [ Malawi dekadal rainfall SPI_1_dekad ] .Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-31 Dec 2020)] N= 1440 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 (17.26875S) to (9.35625S) by 0.03750001 N= 212 pts :grid
Other Info
- CE
- 3.0999999
- CS
- -3.0999999
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- units
- 3282.80635001174 radian-2 east
- colorscale
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 | |
 Malawi dekadal rainfall[rfe_mergeddiff
rfe_mergeddiff_percent
rfe_merged_vs_meanrfe_merged
SPI_1_dekad
rfe
] | |||
 $partialdiff sub Y$ $partialdiff sub X$ [ Malawi dekadal rainfall SPI_1_dekad ] [ T | X Y] | 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 T X Y
- Differentiate along T X Y
- Take differences along T X Y
RMS (root mean square with mean *not* removed) over T X Y | T X T Y X Y | T X Y |
RMSA (root mean square with mean removed) over T X Y | T X T Y X Y | T X Y |
Maximum over T X Y | T X T Y X Y | T X Y |
Minimum over T X Y | T X T Y X Y | T X Y |
Detrend (best-fit-line) over T X Y | T X T Y X Y | T X Y |
Note on units