served from IRI/LDEO Climate Data Library
∫dY ∂X ∂X ∫dX [ IGOSS TOPEX NOAA ssha ] anomalies: ∂X ∂X Sea Surface Height Anomaly data
ssha ssha int_dX partial_X partial_X partial_X int_dY ∂X ∂X 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 (Nov 1992) to (Jun 2002) by 1.0 N= 116 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (4E) to (4W) by 4.0 N= 89 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (60.5S) to (60.5N) by 1.0 N= 122 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- cm
- standard units*
- 0.01 meter
- history
- $integral dY$ $partialdiff sub X$ $partialdiff sub X$ $integral dX$ [ IGOSS TOPEX NOAA ssha ]
- Monthly mean sea surface height anomaly. USA
- $integral dY$ $partialdiff sub X$ $partialdiff sub X$ $integral dX$ [ IGOSS TOPEX NOAA ssha ] climatology
- $integral dY$ $partialdiff sub X$ $partialdiff sub X$ $integral dX$ [ IGOSS TOPEX NOAA ssha ]
- Monthly mean sea surface height anomaly. USA
Averaged over T2[Nov 1992 - Oct 1993, Nov 2000 - Oct 2001] minimum 0.0% data present
- $integral dY$ $partialdiff sub X$ $partialdiff sub X$ $integral dX$ [ IGOSS TOPEX NOAA ssha ]
- $integral dY$ $partialdiff sub X$ $partialdiff sub X$ $integral dX$ [ 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: 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 | |
 $integral dY$ $partialdiff sub X$ $partialdiff sub X$ $integral dX$ [ IGOSS TOPEX NOAA ssha ] anomalies[ X Y | T] | 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