served from IRI/LDEO Climate Data Library
∫dT [ NOAA NCEP EMC CMB Pacific weekly temp ]: temperature data
weekly temp int_dT temperature from NOAA NCEP EMC CMB Pacific: Pacific Ocean Hindcast data derived from a model-based ocean analysis system.Independent Variables (Grids)
- Time
- grid: /T (julian_day) ordered (0000 29 Dec 1996) to (0000 2 Nov 2008) by 7.0 N= 619 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 (34.5S) to (44.5N) by 1.0 N= 80 pts :grid
- Depth
- grid: /Z (m) ordered [ (5.0) (15.0) (25.0) (35.0) (45.0) (55.0) (65.0) (75.0) (85.0) (95.0) (106.25) (120.0) (136.25) (155.0) (177.5) (205.0) (240.0) (285.0) (345.0) (430.0) (550.0) (720.0) (967.5) (1327.5) (1821.0) (2443.5) (3126.5)] :grid
Other Info
- CE
- null
- colorscalename
- sstcolorscale
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- units
- 86400 degree_Kelvin second
- history
- T: 6-12 Feb 2005 to 26 Oct 2008 - 1 Nov 2008 appended from NOAA NCEP EMC CMB Pacific godas temp
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: 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 | Z | |
 $integral dT$ [ NOAA NCEP EMC CMB Pacific weekly temp ][ X Z | Y T] | M | 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 Z Y T
- Differentiate along X Z Y T
- Take differences along X Z Y T
RMS (root mean square with mean *not* removed) over X Z Y T | X Z X Y X T Z Y Z T Y T | X Z Y X Z T X Y T Z Y T | X Z Y T |
RMSA (root mean square with mean removed) over X Z Y T | X Z X Y X T Z Y Z T Y T | X Z Y X Z T X Y T Z Y T | X Z Y T |
Maximum over X Z Y T | X Z X Y X T Z Y Z T Y T | X Z Y X Z T X Y T Z Y T | X Z Y T |
Minimum over X Z Y T | X Z X Y X T Z Y Z T Y T | X Z Y X Z T X Y T Z Y T | X Z Y T |
Detrend (best-fit-line) over X Z Y T | X Z X Y X T Z Y Z T Y T | X Z Y X Z T X Y T Z Y T | X Z Y T |
Note on units