served from IRI/LDEO Climate Data Library
detrended-bfl ∂X detrended-bfl detrended-bfl ∫dT ∂X detrended-bfl detrended-bfl detrended-bfl [ detrended-bfl ∂T detrended-bfl detrended-bfl ( IGOSS TOPEX NOAA ssha ) anomalies ] : ∂X ∂X ∂T Sea Surface Height Anomaly data
ssha adif adif partial_T partial_T adif adif adif adif adif adif partial_X int_dT adif adif adif partial_X ∂X ∂X ∂T 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 (16 Nov 1992 - 15 Dec 1992) to (16 May 2002 - 15 Jun 2002) by 1.0 N= 115 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (2W) to (6W) by 4.0 N= 90 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
- 32.8280635001174 meter radian-2 east
- history
- detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ IGOSS TOPEX NOAA ssha ]
- Monthly mean sea surface height anomaly. USA
- detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ IGOSS TOPEX NOAA ssha ] climatology
- detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ 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
- detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ IGOSS TOPEX NOAA ssha ]
- detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ IGOSS TOPEX NOAA ssha ]
References
Cheney_etal1994Last updated: Fri, 18 Sep 2015 18:39:07 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