served from IRI/LDEO Climate Data Library
∫dT [ ∫dT ∫dX ∫dX ∫dX ( IGOSS TOPEX NOAA ssha ) anomalies ]: Sea Surface Height Anomaly data
ssha ssha int_dX int_dX int_dX int_dT int_dT Sea Surface Height Anomaly from IGOSS TOPEX NOAA: NOAA TOPEX/POSEIDON Altimeter Gridded Sea Level Analysis.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Oct 1992) to (0000 1 Aug 2002) by 1.0 N= 119 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (4W) to (4E) by 4.0 N= 93 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (60S) to (60N) by 1.0 N= 121 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- 3.69206731542207×10-10 meter radian3 east year2
- history
- $integral dT$ $integral dX$ $integral dX$ $integral dX$ [ IGOSS TOPEX NOAA ssha ]
- Monthly mean sea surface height anomaly. USA
- $integral dT$ $integral dX$ $integral dX$ $integral dX$ [ IGOSS TOPEX NOAA ssha ] climatology
- $integral dT$ $integral dX$ $integral dX$ $integral dX$ [ IGOSS TOPEX NOAA ssha ]
- Monthly mean sea surface height anomaly. USA
Averaged over T2[Oct 1992 - Sep 1993, Oct 2000 - Sep 2001] minimum 0.0% data present
- $integral dT$ $integral dX$ $integral dX$ $integral dX$ [ IGOSS TOPEX NOAA ssha ]
- $integral dT$ $integral dX$ $integral dX$ $integral dX$ [ IGOSS TOPEX NOAA ssha ]
References
Cheney, B., L. Miller, R. Agreen, N. Doyle, and J. Lillibridge. 1994. TOPEX/POSEIDON: The 2-cm Solution. J. Geophys. Res., 99 (C12), 24555-24564.
Last updated: Tue, 19 May 2015 19:52:55 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ [ $integral dT$ $integral dX$ $integral dX$ $integral dX$ ( IGOSS TOPEX NOAA ssha ) anomalies ][ 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