served from IRI/LDEO Climate Data Library
NOAA NCEP EMC CMB Pacific monthly H: sea level height anomaly data
monthly H sea level height anomaly from NOAA NCEP EMC CMB Pacific: Pacific Ocean Hindcast data derived from a model-based ocean analysis system.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (16 Jan 1980 - 15 Feb 1980) to (16 Sep 2008 - 15 Oct 2008) by 1.0 N= 345 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (122.25E) to (71.25W) by 1.5 N= 112 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (35S) to (45N) by 1.0 N= 81 pts :grid
Other Info
- missing_value
- NaN
- units
- cm
- standard units*
- 0.01 meter
- history
- T: Feb 2005 to Oct 2008 appended from NOAA NCEP EMC CMB Pacific godas H
References
Behringer, D. W., M. Ji, and A. Leetmaa, 1998: An Improved coupled model for ENSO prediction and implications for ocean initialization. Part I: The ocean data assimilation system. Mon. Wea. Rev., 126, 1013-1021.Ji_etal1995
Ji_Smith1995
Last updated: Mon, 12 Sep 2016 21:30:57 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NOAA NCEP EMC CMB Pacific monthly H[ 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