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root mean sq ∂T max [ T , max root mean sq anom ( Princeton tmin ) ] : ∂T Time, Minimum air temperature data
root mean sq ∂T max [ T , max root mean sq anom ( Princeton tmin ) ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- max
- gridid
- 167071504
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- unitless
- history
- max root mean sq anom [ Princeton tmin ]
- Averaged over Y[89.75S, 89.75N] minimum 0.0% data present
max over X[0.25E, 0.25W]
root mean sq $partialdiff sub T$ max [ T , max root mean sq anom ( Princeton tmin ) ]- Averaged over T[1 Jan 1948, 2400 30 Dec 2008] minimum 0.0% data present
- Averaged over Y[89.75S, 89.75N] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 04:20:45 GMT
Data Views
 Princeton[tmax
wspd
prcp
tmin
] |
| grid: /X (degree_east) periodic (0.25E) to (0.25W) by 0.5 N= 720 pts :grid |
| grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid |
 root mean sq $partialdiff sub T$ max [ T , max root mean sq anom ( Princeton tmin ) ] [ |] |
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