data: mean $integral dT$ $integral dY$ [ Malawi monthly rainfall rfe ]

served from maproom.metmalawi.gov.mw

mean ∫dT ∫dY [ Malawi monthly rainfall rfe ] : Rainfall Amount data

mean ∫dT ∫dY [ Malawi monthly rainfall rfe ] .

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1998) to (0000 1 Jan 1999) by 1.0 N= 13 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (32.625E) to (36E) by 0.0375 N= 91 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 monthly rainfall rfe ]

Boxes with less than 0.0% dropped
Averaged over Y[17.30625S, 9.318749S] 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

	T	X
grid: /X (degree_east) ordered (32.625E) to (36E) by 0.0375 N= 91 pts :grid		M
grid: /Y (degree_north) ordered (17.2875S) to (9.3375S) by 0.03750001 N= 213 pts :grid
grid: /T (months since 1960-01-01) ordered (Jan 1998) to (Dec 1998) by 1.0 N= 12 pts :grid	O=-0.5
mean $integral dT$ $integral dY$ [ Malawi monthly rainfall rfe ] [ X \| T]	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 T
Differentiate along X T
Take differences along X T

Average over X T | X T |
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |

Note on units