data: $integral dY$ [ $integral dT$ ( Malawi dekadal rainfall rfe_merged_vs_meanrfe

served from maproom.metmalawi.gov.mw

∫dY [ ∫dT ( Malawi dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ]: Rainfall data Expressed as Percentages of the Long-Term Average data

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

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 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 (17.30625S) 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

units

15.079644737231 radian north second

history

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

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2019 - 25 Dec 2020]

Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Sat, 11 Nov 2023 00:00:00 GMT

Data Views

	T	X	Y
$integral dY$ [ $integral dT$ ( Malawi dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ][ 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