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root mean sq root mean sq ∂Y mean [ Princeton tmax ] : ∂Y Maximum air temperature data
root mean sq root mean sq ∂Y mean [ Princeton tmax ] . isIndependent Variables (Grids)
- Depth
- grid: /Z (m) ordered [ (0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 2.00000004E20
- missing_value
- NaN
- pointwidth
- 0
- units
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- root mean sq $partialdiff sub Y$ mean [ Princeton tmax ]
- Averaged over X[0, 0] minimum 0.0% data present
Averaged over T[1200 1 Jan 1948 - 1200 2 Jan 1948, 1200 30 Dec 2008] minimum 0.0% data present
root mean sq root mean sq $partialdiff sub Y$ mean [ Princeton tmax ]- Averaged over Y[89.5S, 89.5N] minimum 0.0% data present
- Averaged over X[0, 0] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 04:20:45 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units