data: detrended-bfl root mean sq anom [ NOAA NCDC ERSST version4 anom ]

detrended-bfl root mean sq anom [ NOAA NCDC ERSST version4 anom ] : Extended reconstructed SST anomalies data

anom anom 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)

Latitude (latitude): grid: /Y (degree_north) ordered (87S) to (87N) by 2.0 N= 88 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
iridl:hasSemantics: iridl:SeaSurfaceTemperatureAnomaly
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: degree_Celsius
standard units*: degree_Kelvin
history: Averaged over X[0, 2W] T[Jan 1854, Nov 2024] minimum 0.0% data present

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-14-00006.1

Wei 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

	Y	zlev
detrended-bfl root mean sq anom [ NOAA NCDC ERSST version4 anom ] 0.0 meters[ Y 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 Y
Differentiate along Y
Take differences along Y