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∫dT [ flagge ( { Ethiopia NMA ENACTS_v7 ALL Temperature monthly tmean } , 18 ) * flagle ( { Ethiopia NMA ENACTS_v7 ALL Temperature monthly tmean } , 32 ) ]: flag data
∫dT [ flagge ( { Ethiopia NMA ENACTS_v7 ALL Temperature monthly tmean } , 18 ) * flagle ( { Ethiopia NMA ENACTS_v7 ALL Temperature monthly tmean } , 32 ) ].Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1961) to (0000 1 Jan 2019) by 1.0 N= 697 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (33E) to (48E) by 0.0375 N= 401 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3N) to (15N) by 0.0375 N= 321 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- months
- standard units*
- 0.0833333333333333 year
- history
- Boxes with less than 0.0% dropped
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units