served from IRI/LDEO Climate Data Library
NOAA NCEP EMC CMB Pacific weekly tcor: temperature correction data
weekly temperature correction 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 (29 Dec 1996 - 4 Jan 1997) to (26 Oct 2008 - 1 Nov 2008) by 7.0 N= 618 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
- 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
- missing_value
- NaN
- units
- degree_Celsius / hour
- standard units*
- 0.000277777777777778 degree_Kelvin second-1
- history
- T: 6-12 Feb 2005 to 26 Oct 2008 - 1 Nov 2008 appended from NOAA NCEP EMC CMB Pacific godas tcor
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 | |
 NOAA NCEP EMC CMB Pacific weekly tcor[ 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