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∫dY mean [ ZMD ENACTS temperature ALL monthly ( tmax - { climatologies tmax } ) ] : Merged Maximum Temperature data
∫dY mean [ ZMD ENACTS temperature ALL monthly ( tmax - { climatologies tmax } ) ] .Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1961) to (Mar 2021) by 1.0 N= 723 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (18.20625S) to (8.081249S) by 0.0375 N= 271 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
- 0.0174532925199433 degree_Kelvin radian north
- history
- ZMD ENACTS temperature ALL monthly tmax
Boxes with less than 0.0% dropped
- ZMD ENACTS temperature ALL monthly climatologies tmax
- Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- Averaged over X[21.69375E, 33.88125E] minimum 0.0% data present
- ZMD ENACTS temperature ALL monthly tmax
Last updated: Mon, 03 May 2021 01:17:59 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 ZMD ENACTS temperature ALL monthly[tmin
tmean
tmax
climatologies
] | ||
 $integral dY$ mean [ ZMD ENACTS temperature ALL monthly ( tmax - { climatologies tmax } ) ] [ 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