min ∫dT [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff climatology ] : Reconstructed Rainfall Anomaly data
ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff precipdiff int_dT Reconstructed Rainfall Anomaly 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
- missing_value
- NaN
- units
- 8.33333333333333×10-05 meter year
- history
- $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff climatology ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2022] minimum 0.0% data present
min $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff climatology ] - min over T[0000 1 Jan 1960, 0000 1 Jan 1961]
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