data: root mean sq $partialdiff sub T$ [ NOAA NCDC ERSST version4 anom anomalies ]

root mean sq ∂_T [ NOAA NCDC ERSST version4 anom anomalies ] : ∂_T Extended reconstructed SST anomalies data

anom anom partial_T partial_T ∂_T 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)

Time (time): grid: /T (days since 1960-01-01) ordered [ (16 Jan 1854 - 15 Feb 1854) (16 Feb 1854 - 15 Mar 1854) (16 Mar 1854 - 15 Apr 1854) ... (16 Oct 2024 - 15 Nov 2024)] N= 2050 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize

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

12 degree_Kelvin year^-1

history

root mean sq $partialdiff sub T$ [ NOAA NCDC ERSST version4 anom anomalies ]

Averaged over T2[1854, 2023] minimum 0.0% data present
Averaged over X[1W, 1W] Y[89S, 89N] 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

	T	zlev
root mean sq $partialdiff sub T$ [ NOAA NCDC ERSST version4 anom anomalies ] 0.0 meters[ zlev \| T]	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 T
Differentiate along T
Take differences along T