served from 129.236.110.25
detrended-bfl ∫dX [ Princeton wspd ] : Wind speed at 10 m data
detrended-bfl ∫dX [ Princeton wspd ] .Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01 00:00:00) ordered (1 Jan 1948) to (30 Dec 2008) by 1.0 N= 22280 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0) to (0) by 0.5 N= 721 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
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 2.00000004E20
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0174532925199433 meter radian east second-1
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| T | X | Y | Z | |
 Princeton[prcp
tmin
tmax
wspd
] | ||||
 detrended-bfl $integral dX$ [ Princeton wspd ] 0 m[ X Y Z | T] | M | 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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units