served from 129.236.110.25
min detrended-bfl detrended-bfl ∂T root mean sq [ Princeton wspd ] : ∂T Wind speed at 10 m data
min detrended-bfl detrended-bfl ∂T root mean sq [ Princeton wspd ] .Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
- Depth
- grid: /Z (m) ordered [ (0)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 2.00000004E20
- missing_value
- NaN
- pointwidth
- 0
- units
- 1.15740740740741×10-05 meter second-2
- history
- min detrended-bfl detrended-bfl $partialdiff sub T$ root mean sq [ Princeton wspd ]
- Averaged over X[0, 0] minimum 0.0% data present
min over T[1200 1 Jan 1948 - 1200 2 Jan 1948, 1200 29 Dec 2008 - 1200 30 Dec 2008]
- Averaged over X[0, 0] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 04:20:45 GMT
Data Views
Views
line plots
color bars
scatter| Y | Z | |
 min detrended-bfl detrended-bfl $partialdiff sub T$ root mean sq [ Princeton wspd ] 0 m[ Y Z |] | 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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units