served from IRI/LDEO Climate Data Library
∫dX ∂T ∫dY [ IGOSS TOPEX UTCSR ssha ] : ∂T Sea Surface Height Anomaly data
ssha int_dY partial_T ∂T Sea Surface Height Anomaly from IGOSS TOPEX UTCSR: University of Texas at Austin Center for Space Research TOPEX/POSEIDON Gridded Sea Level Anomalies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Oct 1992 - 15 Nov 1992) to (16 Jan 1995 - 15 Feb 1995) by 1.0 N= 28 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0.5W) to (0.5W) by 1.0 N= 361 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (75.5S) to (75.5N) by 1.0 N= 152 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 60
- CS
- -60
- datatype
- doublearraytype
- file_missing_value
- 999.0
- missing_value
- NaN
- units
- 3.65540903744051×10-05 meter radian2 east year-1
- history
- $integral dX$ $partialdiff sub T$ $integral dY$ [ IGOSS TOPEX UTCSR ssha ]
- Monthly mean sea surface height. USA
- colorscale
References
Tapley_etal1994Last 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
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