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max ∂Y [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall monthly c9120 precip ] : ∂Y Merged Station-Satellite Rainfall Climatology 1991-2020 data
ENACTS ENACTS_v2 ALL Rainfall monthly c9120 precip partial_Y ∂Y Merged Station-Satellite Rainfall Climatology 1991-2020 from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (9.88125N) to (25.33125N) by 0.0375 N= 413 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
- history
- $partialdiff sub Y$ [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall monthly c9120 precip ]
- Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
max $partialdiff sub Y$ [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall monthly c9120 precip ]- max over X[12.525W, 4.5375E]
- Boxes with less than 0.0% dropped
Last updated: Wed, 16 Aug 2023 08:16:35 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 max $partialdiff sub Y$ [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall monthly c9120 precip ] [ Y T |] | M | M |
|---|
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