root mean sq anom [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff_percent climatology ]: Rainfall Difference Expressed as Percent of Long-Term Average (%) data
ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff_percent precipdiff_percent Rainfall Difference Expressed as Percent of Long-Term Average (%) from MaliMeteo: Mali-Météo.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (12.525W) to (4.5375E) by 0.0375 N= 456 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (9.8625N) to (25.35N) by 0.0375 N= 414 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- units
- unitless
- history
- MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff_percent climatology
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2022]
root mean sq anom [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff_percent climatology ]- Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan]
Last updated: Fri, 15 Sep 2023 09:17:58 GMT
Expires: Mon, 21 Aug 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 X
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
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