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root mean sq anom min [ T , root mean sq anom min ( Princeton tmin ) ] : Time, Minimum air temperature data
root mean sq anom min [ T , root mean sq anom min ( Princeton tmin ) ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- min
- gridid
- 167071528
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- days
- standard units*
- 86400 second
- history
- root mean sq anom min [ Princeton tmin ]
- min over X[0.25E, 0.25W]
Averaged over Y[89.75S, 89.75N] minimum 0.0% data present
root mean sq anom min [ T , root mean sq anom min ( Princeton tmin ) ]- Averaged over T[1 Jan 1948, 30 Dec 2008] minimum 0.0% data present
- min over X[0.25E, 0.25W]
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 anom min [ T , root mean sq anom min ( 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