served from 129.236.110.25
root mean sq anom ∂Y ∫dT [ Princeton wspd ] : ∂Y Wind speed at 10 m data
root mean sq anom ∂Y ∫dT [ Princeton wspd ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.25E) to (0.25W) by 0.5 N= 720 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid
- 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
- 4950355.34993031 meter radian-1 north
- history
- Averaged over T[1200 31 Dec 1947, 1200 31 Dec 2008] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 04:20:45 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | Z | |
 Princeton[prcp
tmin
tmax
wspd
] | |||
 root mean sq anom $partialdiff sub Y$ $integral dT$ [ Princeton wspd ] 0 m[ X Y Z |] | M | 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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units