served from maproom.metmalawi.gov.mw
mean ∂X ∂T [ Malawi dekadal rainfall SPI_1_dekad anomalies ] : ∂X ∂T Standard Precipitation Index 1-dekad data
mean ∂X ∂T [ Malawi dekadal rainfall SPI_1_dekad anomalies ] .Independent Variables (Grids)
- 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 (17.2875S) to (9.3375S) by 0.03750001 N= 213 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.000663145596216232 radian-1 east second-1
- history
- mean $partialdiff sub X$ $partialdiff sub T$ [ Malawi dekadal rainfall SPI_1_dekad anomalies ]
- Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Averaged over T[6-15 Jan 1981, 1200 26 Dec 2020] minimum 0.0% data present
- Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] 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| X | Y | |
 mean $partialdiff sub X$ $partialdiff sub T$ [ Malawi dekadal rainfall SPI_1_dekad anomalies ] [ | X Y] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units