served from IRI/LDEO Climate Data Library
∫dY [ FSU CLIMATOLOGY tauy ]: meridional wind stress data
tauy meridional wind stress from FSU CLIMATOLOGY: Climatology used in computing anomalies.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (tauy)] :grid
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (124E) to (70W) by 2.0 N= 84 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30S) to (30N) by 2.0 N= 31 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- 19.98
- missing_value
- NaN
- units
- 0.00174532925199433 kilogram meter-1 radian north second-2
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Legler_OBrien1988Last updated: Mon, 12 Sep 2016 21:27:18 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| D | T | X | Y | |
 $integral dY$ [ FSU CLIMATOLOGY tauy ] tauy[ X Y T D |] | 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