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min [ NOAA NCDC ERSST version4 anom ]: Extended reconstructed SST anomalies data
anom Extended reconstructed SST anomalies from NOAA NCDC ERSST version4: In situ data: ICOADS2.5 before 2007, NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2015 and NCEP ice after 2015..Independent Variables (Grids)
- longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperatureAnomaly
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- degree_Celsius
- valid_max
- 12.0
- valid_min
- -12.0
- standard units*
- degree_Kelvin
- history
- min over Y[88S, 88N] T[Jan 1854, Nov 2024]
References
Boyin Huang, Viva F. Banzon, Eric Freeman, Jay Lawrimore, Wei Liu, Thomas C. Peterson, Thomas M. Smith, Peter W. Thorne, Scott D. Woodruff, and Huai-Min Zhang, 2015: Extended Reconstructed Sea Surface Temperature Version 4 (ERSST.v4). Part I: Upgrades and Intercomparisons. J. Climate, 28, 911–930. doi: http://dx.doi.org/10.1175/JCLI-D-14-00006.1Wei Liu, Boyin Huang, Peter W. Thorne, Viva F. Banzon, Huai-Min Zhang, Eric Freeman, Jay Lawrimore, Thomas C. Peterson, Thomas M. Smith, and Scott D. Woodruff, 2015: Extended Reconstructed Sea Surface Temperature Version 4 (ERSST.v4): Part II. Parametric and Structural Uncertainty Estimations. J. Climate, 28, 931–951. doi: http://dx.doi.org/10.1175/JCLI-D-14-00007.1
Last updated: Wed, 11 Apr 2018 16:26:06 GMT
Expires: Wed, 02 May 2018 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| X | zlev | |
 grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid | M | |
|---|---|---|
 min [ NOAA NCDC ERSST version4 anom ] 0.0 meters[ X zlev |] | 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
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units