served from maproom.metmalawi.gov.mw
root mean sq [ ∂T ( Malawi monthly rainfall rfe ) anomalies ]: ∂T Rainfall Amount data
root mean sq [ ∂T ( Malawi monthly rainfall rfe ) anomalies ].Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Feb 1982) to (Nov 2001) by 1.0 N= 238 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.2875S) to (9.3375S) by 0.03750001 N= 213 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- $partialdiff sub T$ [ Malawi monthly rainfall rfe ]
Boxes with less than 0.0% dropped
- $partialdiff sub T$ [ Malawi monthly rainfall rfe ] climatology
- Boxes with less than 0.0% dropped
Averaged over T2[Feb 1982 - Jan 1983, Feb 2000 - Jan 2001] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- Averaged over X[32.60625E, 36.01875E] minimum 0.0% data present
- $partialdiff sub T$ [ Malawi monthly rainfall rfe ]
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
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 T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units