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max ∫dX [ ICPAC Projections RCA-MPI hist monthly GHA temperature tmax tmax ] : Maximum Near-Surface Air Temperature data
max ∫dX [ ICPAC Projections RCA-MPI hist monthly GHA temperature tmax tmax ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.815E) to (51.415E) by 0.05 N= 593 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.74S) to (22.91N) by 0.05 N= 694 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- temp_colors
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0174532925199433 ( degree_Kelvin above 0 ) radian east
- history
- max over T[Jan 1951, Dec 2005]
Last updated: Wed, 07 Jun 2017 18:04:36 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 max $integral dX$ [ ICPAC Projections RCA-MPI hist monthly GHA temperature tmax tmax ] [ X Y |] | M | M |
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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