served from IRI/LDEO Climate Data Library
NOAA NCEP EMC CMB Pacific monthly D20eq: Depth of 20C data
monthly D20eq Depth of 20C 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 (Jan 1980) to (Oct 2008) by 1.0 N= 346 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (123E) to (72W) by 1.5 N= 111 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (35S) to (45N) by 1.0 N= 81 pts :grid
Other Info
- CE
- 200
- CS
- 0
- datatype
- realarraytype
- gridid
- 163914968
- maxncolor
- 254
- missing_value
- NaN
- positive
- down
- units
- m
- standard units*
- meter
- history
- toS: regridded Z to NOAA NCEP EMC CMB Pacific monthly temp
- colorscale
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, M., A. Leetmaa, and J. Derber, 1995: An ocean analysis system for seasonal to interannual climate studies. Mon. Wea. Rev., 123, 460-481.
Ji, M., and T. M. Smith, 1995: Ocean model response to temperature data and varying surface wind stress: Intercomparisons and Implications for climate forecast. Mon. Wea. Rev., 123, 1811-1821.
Last updated: Mon, 12 Sep 2016 21:30:55 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 D20eq[ 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