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root mean sq anom max [ Y , max root mean sq anom ( Princeton wspd ) ] : Latitude, Wind speed at 10 m data
root mean sq anom max [ Y , max root mean sq anom ( Princeton wspd ) ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- max
- gridid
- 172174184
- missing_value
- NaN
- pointwidth
- 0.5
- scale_max
- null
- scale_min
- null
- standard_name
- latitude
- units
- degree_north
- standard units*
- 0.0174532925199433 radian north
- history
- max root mean sq anom [ Princeton wspd ]
- Averaged over T[0000 1 Jan 1948, 0000 31 Dec 2008] minimum 0.0% data present
max over X[0.25E, 0.25W] Y[89.75S, 89.75N]
root mean sq anom max [ Y , max root mean sq anom ( Princeton wspd ) ]- Averaged over Y[89.75S, 89.75N] minimum 0.0% data present
- Averaged over T[0000 1 Jan 1948, 0000 31 Dec 2008] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 04:20:45 GMT
Data Views
 Princeton[prcp
tmin
tmax
wspd
] |
| grid: /X (degree_east) periodic (0.25E) to (0.25W) by 0.5 N= 720 pts :grid |
 root mean sq anom max [ Y , max root mean sq anom ( Princeton wspd ) ] [ |] |
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