served from maproom.metmalawi.gov.mw
mean ∂Y [ Malawi monthly climatologies rfe ] : ∂Y Rainfall 1991-2020 average data
mean ∂Y [ Malawi monthly climatologies rfe ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (33.975E) to (36E) by 0.03750003 N= 55 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.00625S) to (15.01875S) by 0.03750001 N= 54 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- Conventions
- COARDS
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
- history
- $partialdiff sub Y$ [ Malawi monthly climatologies rfe ]
- Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
mean $partialdiff sub Y$ [ Malawi monthly climatologies rfe ]- Averaged over T[16 Dec - 15 Jan, 2400 30 Dec] minimum 0.0% data present
- Boxes with less than 0.0% dropped
Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Sat, 11 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| X | Y | |
 Malawi monthly climatologies[tmin
rfe
tmax
tmean
] | ||
 mean $partialdiff sub Y$ [ Malawi monthly climatologies rfe ] [ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units