mean ∂Y [ ∫dT ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology anomalies ] : ∂Y Rainfall Difference Expressed as Percent of Long-Term Average (%) data
mean
∂Y [
∫dT ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology anomalies ] .
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.26875S) to (9.35625S) by 0.03750001 N= 212 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- units
- 49503.5534993031 radian-1 north 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]
- $integral dT$ [ Malawi dekadal rainfall rfe_mergeddiff_percent ] climatology climatology
- $integral dT$ [ 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]
Averaged over T2=26 Dec 1959 - 25 Dec 1960
mean $partialdiff sub Y$ [ $integral dT$ ( Malawi dekadal rainfall rfe_mergeddiff_percent ) climatology anomalies ] - Averaged over X[32.60625E, 36.01875E]
Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Sat, 11 Nov 2023 00:00:00 GMT
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
Average over
Y
T
|
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