data: mean $integral dT$ [ $integral dY$ ( Malawi dekadal rainfall rfe ) climatology ]

served from maproom.metmalawi.gov.mw

mean ∫dT [ ∫dY ( Malawi dekadal rainfall rfe ) climatology ] : Merged Station-Satellite Rainfall data

mean ∫dT [ ∫dY ( Malawi dekadal rainfall rfe ) climatology ] .

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (17.30625S) to (9.318749S) by 0.0375 N= 214 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-99.0

maxncolor

254

missing_value

NaN

units

1.45444104332861×10^-06 meter radian north year

history

mean $integral dT$ [ $integral dY$ ( Malawi dekadal rainfall rfe ) climatology ]

Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Averaged over X[32.60625E, 36.01875E] T[0000 1 Jan 1960, 0000 1 Jan 1961] 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

	Y
grid: /X (degree_east) ordered (32.625E) to (36E) by 0.0375 N= 91 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 (0000 1 Jan 1960) to (0000 1 Jan 1961) by 0.3333335 N= 37 pts :grid
mean $integral dT$ [ $integral dY$ ( Malawi dekadal rainfall rfe ) climatology ] [ Y \|]	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
Differentiate along Y
Take differences along Y