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min ∫dY ∫dX [ Ethiopia NMA monthly climatologies tmin_adj ] : tmin 1961-2014 average data
min ∫dY ∫dX [ Ethiopia NMA monthly climatologies tmin_adj ] .Independent Variables (Grids)
- 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
- 32
- colorscalename
- temp_colors
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -9999
- fnname
- masklt
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.000304617419786709 degree_Kelvin radian2 north
- history
- $integral dY$ $integral dX$ [ Ethiopia NMA monthly climatologies tmin_adj ]
- Boxes with less than 0.0% dropped
Averaged over T2[1961, 2014] minimum 0.0% data present
min $integral dY$ $integral dX$ [ Ethiopia NMA monthly climatologies tmin_adj ]- min over T[Jan, Dec]
- Boxes with less than 0.0% dropped
- colorscale
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Expires: Wed, 01 Feb 2023 00:00:00 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
- Differentiate along X Y
- Take differences along 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