data: root mean sq [ $integral dT$ ( Malawi dekadal rainfall rfe_mergeddiff

served from maproom.metmalawi.gov.mw

root mean sq [ ∫dT ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology ]: Rainfall Difference Expressed as Percent of Long-Term Average (%) data

root mean sq [ ∫dT ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology ].

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (17.2875S) to (9.3375S) by 0.03750001 N= 213 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-99.0

maxncolor

254

units

864 second

history

$integral dT$ [ Malawi dekadal rainfall rfe_mergeddiff_percent ] 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]

root mean sq [ $integral dT$ ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology ]

Averaged over X[32.60625E, 36.01875E] T[0000 1 Jan, 2359 20 Dec]

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

Data Views

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root mean sq [ $integral dT$ ( Malawi dekadal rainfall rfe_mergeddiff_percent ) 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