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Decadal average sea surface temperature anomaly in different European seas

Figure Created 21 Nov 2019 Published 04 Dec 2019 Last modified 04 Dec 2019
1 min read
The figure shows decadal global and regionally averaged sea-surface temperature anomalies relative to a 1981-2010 baseline. The solid line shows a satellite-based series combining the SST CCI analysis (to 2016) with the OSTIA near-real time updates (to 2018). The shaded area in each plot indicates the upper and lower uncertainty range of the long-term evolution of the regional averages based on three global data sets (HadSST.4.0.0.0, ERSSTv5 and HadISST).

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°C

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EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: Met Office Hadley Centre observations datasets.
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Graph

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Based on data

NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 5 The NOAA Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature dataset derived from the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). It is produced on a 2 x 2 degree grid with spatial completeness enhanced using statistical methods. This monthly analysis begins in January 1854 continuing to the present and includes anomalies computed with respect to a 1971-2000 monthly climatology. Version 5 (v5) is the newest version of ERSST. Major revisions for v5 include: 1) using unadjusted first-guess instead of adjusted first-guess in QC, 2) using latest International Comprehensive Ocean Atmosphere Data Set (ICOADS) Release 3.0 (R3.0) over 1854-2015 instead of R2.5 over 1854-2007, 3) using Argo temperature above 5 meter depth that has not been used in previous version ERSST and other SST analysis, 4) using latest UK Met Office HadISST2 ice concentration over 1870-2015 instead of HadISST1 ice concentration over 1870-2010, 5) removing damping in high latitudes north of 60 degrees North and south of 50 degrees South in Empirical Orthogonal Teleconnection (EOT) Functions, 6) adding 10 more EOT modes in the Arctic, 7) reducing spatial filtering in training EOTs, and 8) revising ship SST bias correction relative to nighttime marine air temperature (NMAT) to the one relative to buoy SST observations. Other features remain same as in the previous ERSST version 4. The data are written to monthly netCDF files following CF Metadata Conventions.
ESA SST CCI: Level 4 Analysis Climate Data Record This v2.1 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude - longitude grid. It combines data from both the Advanced Very High Resolution Radiometer (AVHRR ) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016. The dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.
HadSST.4 global sea surface temperature dataset HadSST.4.0.0.0 is the Met Office Hadley Centre Sea-surface temperature anomaly data set. Anomalies are expressed relative to the 1961-1990 average. The data have been adjusted to minimize the effect of systematic errors associated with instrumen tation changes and are representative of SST measured at a depth of 20cm. The data set is presented on an equirectangular 5° latitude by 5° longitude monthly grid from January 1850 to December 2018. Uncertainty in the data is presented using a combined approach. Uncertainty in the bias adjustments is presented as an ensemble of interchangeable realisations. Uncertainty arising from local measurement errors and local sampling errors are presented as gridded fields. Uncertainties associated with correlated measurement errors are presented as error-covariance matrices. These can be combined to give uncertainty estimates for derived quantities such as the global mean temperature. HadSST.4.0.0.0 is based on ICOADS release 3.0.0 (1850-2014, [2]) and ICOADS release 3.0.1 (2015-present). In addition it uses drifting buoy observations from CMEMS.
Global Ocean OSTIA Sea Surface Temperature and Sea Ice Analysis Global Ocean OSTIA Sea Surface Temperature and Sea Ice Reanalysis - SST_GLO_SST_L4_NRT_OBSERVATIONS_010_001_a (provided by CMEMS)
HadISST - Global sea ice and Sea Surface Temperature analyses Global SST fields were created using a variety of techniques including Reduced Space Optimal Interpolation (RSOI). Sea ice concentration fields from different sources were analysed to make them as consistent as possible through time. Some care should be taken when using the sea-ice concentration data, particularly in the Southern Hemisphere where there is no realistic interannual variability in sea ice prior to 1973. The HadISST1 data set has been shown to be an improvement upon (and has superseded) the GISST data set.

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For references, please go to https://www.eea.europa.eu/data-and-maps/figures/decadal-average-sea-surface-temperature or scan the QR code.

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