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root mean sq [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff ]: Reconstructed Rainfall Anomaly data
ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff Reconstructed Rainfall Anomaly from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- 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
- mm
- standard units*
- 0.001 meter
- history
- root mean sq [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[12.54375W, 4.55625E] T[1-10 Jan 1981, 0144 21 Jun 2023] minimum 0.0% data present
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Fri, 15 Sep 2023 09:17:58 GMT
Expires: Mon, 21 Aug 2023 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter
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
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units