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root mean sq anom ∫dT [ KMD Kenya_v03 dekadal_new climatologies tmax ] : Maximum Temperature data
root mean sq anom ∫dT [ KMD Kenya_v03 dekadal_new climatologies tmax ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.025E) to (42.975E) by 0.0375 N= 293 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (6S) to (6N) 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
- maxncolor
- 254
- missing_value
- NaN
- units
- 86400 ( degree_Kelvin above 273.15 ) second
- history
- root mean sq anom $integral dT$ [ KMD Kenya_v03 dekadal_new climatologies tmax ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T[0000 1 Jan 1981, 0000 1 Jan 1982] minimum 0.0% data present
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Wed, 29 May 2024 07:29:02 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