data: max $integral dT$ [ Malawi dekadal rainfall rfe

served from maproom.metmalawi.gov.mw

max ∫dT [ Malawi dekadal rainfall rfe_mergeddiff climatology anomalies ] : Rainfall Anomaly data

max ∫dT [ Malawi dekadal rainfall rfe_mergeddiff climatology anomalies ] .

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

missing_value

NaN

units

8.33333333333333×10^-05 meter year

history

Malawi dekadal rainfall rfe_mergeddiff climatology

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present

Malawi dekadal rainfall rfe_mergeddiff climatology climatology

Malawi dekadal rainfall rfe_mergeddiff climatology

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present

Averaged over T2=0000 1 Jan 1960 - 0000 1 Jan 1961 minimum 0.0% data present

max $integral dT$ [ Malawi dekadal rainfall rfe_mergeddiff climatology anomalies ]

max over X[32.625E, 36E] T[0000 1 Jan 1960, 0000 1 Jan 1961]

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

Data Views

	Y
max $integral dT$ [ Malawi dekadal rainfall rfe_mergeddiff climatology anomalies ] [ 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