served from IRI/LDEO Climate Data Library
∫dX [ IGOSS fsu absuu ]: zonal pseudo-stress data
absuu zonal pseudo-stress from IGOSS fsu: Florida State University wind analysis.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1994) to (Mar 1998) by 1.0 N= 51 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (30E) to (16E) by 2.0 N= 174 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29S) to (29N) by 2.0 N= 30 pts :grid
Other Info
- arrowsperinch
- 5
- bufferwordsize
- 8
- CSCALE
- 1.0
- datatype
- doublearraytype
- file_missing_value
- 999
- missing_value
- NaN
- units
- 0.0174532925199433 meter2 radian east second-2
- history
- Monthly mean surface pseudo-stress using variational, subjective, and objective-subjective techniques in the Indian, Pacific, and Atlantic oceans.USA-FRANCE
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dX$ [ IGOSS fsu absuu ][ X Y | T] | M | M | M |
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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