Mediterranean Sea Surface Temperature time series and trend from Observations Reprocessing

'''DEFINITION'''


The medsea_omi_tempsal_sst_area_averaged_anomalies product for 2023 includes unfiltered Sea Surface Temperature (SST) anomalies, given as monthly mean time series starting on 1982 and averaged over the Mediterranean Sea, and 24-month filtered SST anomalies, obtained by using the X11-seasonal adjustment procedure (see e.g. Pezzulli et al., 2005; Pisano et al., 2020). This OMI is derived from the CMEMS Reprocessed Mediterranean L4 SST satellite product (SST_MED_SST_L4_REP_OBSERVATIONS_010_021, see also the OMI QUID, http://marine.copernicus.eu/documents/QUID/CMEMS-OMI-QUID-MEDSEA-SST.pdf), which provides the SSTs used to compute the evolution of SST anomalies (unfiltered and filtered) over the Mediterranean Sea. This reprocessed product consists of daily (nighttime) optimally interpolated 0.05° grid resolution SST maps over the Mediterranean Sea built from the ESA Climate Change Initiative (CCI) (Merchant et al., 2019) and Copernicus Climate Change Service (C3S) initiatives, including also an adjusted version of the AVHRR Pathfinder dataset version 5.3 (Saha et al., 2018) to increase the input observation coverage. Anomalies are computed against the 1991-2020 reference period. The 30-year climatology 1991-2020 is defined according to the WMO recommendation (WMO, 2017) and recent U.S. National Oceanic and Atmospheric Administration practice (https://wmo.int/media/news/updated-30-year-reference-period-reflects-changing-climate). The reference for this OMI can be found in the first and second issue of the Copernicus Marine Service Ocean State Report (OSR), Section 1.1 (Roquet et al., 2016; Mulet et al., 2018).


'''CONTEXT'''


Sea surface temperature (SST) is a key climate variable since it deeply contributes in regulating climate and its variability (Deser et al., 2010). SST is then essential to monitor and characterise the state of the global climate system (GCOS 2010). Long-term SST variability, from interannual to (multi-)decadal timescales, provides insight into the slow variations/changes in SST, i.e. the temperature trend (e.g., Pezzulli et al., 2005). In addition, on shorter timescales, SST anomalies become an essential indicator for extreme events, as e.g. marine heatwaves (Hobday et al., 2018). The Mediterranean Sea is a climate change hotspot (Giorgi F., 2006). Indeed, Mediterranean SST has experienced a continuous warming trend since the beginning of 1980s (e.g., Pisano et al., 2020; Pastor et al., 2020). Specifically, since the beginning of the 21st century (from 2000 onward), the Mediterranean Sea featured the highest SSTs and this warming trend is expected to continue throughout the 21st century (Kirtman et al., 2013).


'''KEY FINDINGS'''


During 2023, the Mediterranean Sea continued experiencing the intense sea surface temperatures’ warming (marine heatwave event) that started in May 2022 (Marullo et al., 2023). The basin average SST anomaly was 0.9 ± 0.1 °C in 2023, the highest in this record. The Mediterranean SST warming started in May 2022, when the mean anomaly increased abruptly from 0.01 °C (April) to 0.76 °C (May), reaching the highest values during June (1.66 °C) and July (1.52 °C), and persisting until summer 2023 with anomalies around 1 °C above the 1991-2020 climatology. The peak of July 2023 (1.76 °C) set the record of highest SST anomaly ever recorded since 1982. The 2022/2023 Mediterranean marine heatwave is comparable to that occurred in 2003 (see e.g. Olita et al., 2007) in terms of anomaly magnitude but longer in duration.

Over the period 1982-2023, the Mediterranean SST has warmed at a rate of 0.041 ± 0.001 °C/year, which corresponds to an average increase of about 1.7 °C during these last 42 years. Within its error (namely, the 95% confidence interval), this warming trend is consistent with recent trend estimates in the Mediterranean Sea (Pisano et al., 2020; Pastor et al., 2020). However, though the linear trend being constantly increasing during the whole period, the picture of the Mediterranean SST trend in 2022 seems to reveal a restarting after the pause occurred in the last years (since 2015-2021).


'''DOI (product):'''

https://doi.org/10.48670/moi-00268

 

Simple

Title

Mediterranean Sea Surface Temperature time series and trend from Observations Reprocessing

Alternate title

MEDSEA_OMI_TEMPSAL_sst_area_averaged_anomalies

Date (Creation)
2019-11-28
Edition

3.4

Edition date
2024-11-26
Citation identifier
a78600a4-a280-47b5-8ddd-0dc8b5e9c9d9
Abstract

'''DEFINITION'''


The medsea_omi_tempsal_sst_area_averaged_anomalies product for 2023 includes unfiltered Sea Surface Temperature (SST) anomalies, given as monthly mean time series starting on 1982 and averaged over the Mediterranean Sea, and 24-month filtered SST anomalies, obtained by using the X11-seasonal adjustment procedure (see e.g. Pezzulli et al., 2005; Pisano et al., 2020). This OMI is derived from the CMEMS Reprocessed Mediterranean L4 SST satellite product (SST_MED_SST_L4_REP_OBSERVATIONS_010_021, see also the OMI QUID, http://marine.copernicus.eu/documents/QUID/CMEMS-OMI-QUID-MEDSEA-SST.pdf), which provides the SSTs used to compute the evolution of SST anomalies (unfiltered and filtered) over the Mediterranean Sea. This reprocessed product consists of daily (nighttime) optimally interpolated 0.05° grid resolution SST maps over the Mediterranean Sea built from the ESA Climate Change Initiative (CCI) (Merchant et al., 2019) and Copernicus Climate Change Service (C3S) initiatives, including also an adjusted version of the AVHRR Pathfinder dataset version 5.3 (Saha et al., 2018) to increase the input observation coverage. Anomalies are computed against the 1991-2020 reference period. The 30-year climatology 1991-2020 is defined according to the WMO recommendation (WMO, 2017) and recent U.S. National Oceanic and Atmospheric Administration practice (https://wmo.int/media/news/updated-30-year-reference-period-reflects-changing-climate). The reference for this OMI can be found in the first and second issue of the Copernicus Marine Service Ocean State Report (OSR), Section 1.1 (Roquet et al., 2016; Mulet et al., 2018).


'''CONTEXT'''


Sea surface temperature (SST) is a key climate variable since it deeply contributes in regulating climate and its variability (Deser et al., 2010). SST is then essential to monitor and characterise the state of the global climate system (GCOS 2010). Long-term SST variability, from interannual to (multi-)decadal timescales, provides insight into the slow variations/changes in SST, i.e. the temperature trend (e.g., Pezzulli et al., 2005). In addition, on shorter timescales, SST anomalies become an essential indicator for extreme events, as e.g. marine heatwaves (Hobday et al., 2018). The Mediterranean Sea is a climate change hotspot (Giorgi F., 2006). Indeed, Mediterranean SST has experienced a continuous warming trend since the beginning of 1980s (e.g., Pisano et al., 2020; Pastor et al., 2020). Specifically, since the beginning of the 21st century (from 2000 onward), the Mediterranean Sea featured the highest SSTs and this warming trend is expected to continue throughout the 21st century (Kirtman et al., 2013).


'''KEY FINDINGS'''


During 2023, the Mediterranean Sea continued experiencing the intense sea surface temperatures’ warming (marine heatwave event) that started in May 2022 (Marullo et al., 2023). The basin average SST anomaly was 0.9 ± 0.1 °C in 2023, the highest in this record. The Mediterranean SST warming started in May 2022, when the mean anomaly increased abruptly from 0.01 °C (April) to 0.76 °C (May), reaching the highest values during June (1.66 °C) and July (1.52 °C), and persisting until summer 2023 with anomalies around 1 °C above the 1991-2020 climatology. The peak of July 2023 (1.76 °C) set the record of highest SST anomaly ever recorded since 1982. The 2022/2023 Mediterranean marine heatwave is comparable to that occurred in 2003 (see e.g. Olita et al., 2007) in terms of anomaly magnitude but longer in duration.

Over the period 1982-2023, the Mediterranean SST has warmed at a rate of 0.041 ± 0.001 °C/year, which corresponds to an average increase of about 1.7 °C during these last 42 years. Within its error (namely, the 95% confidence interval), this warming trend is consistent with recent trend estimates in the Mediterranean Sea (Pisano et al., 2020; Pastor et al., 2020). However, though the linear trend being constantly increasing during the whole period, the picture of the Mediterranean SST trend in 2022 seems to reveal a restarting after the pause occurred in the last years (since 2015-2021).


'''DOI (product):'''

https://doi.org/10.48670/moi-00268

Credit

E.U. Copernicus Marine Service Information

Point of contact
Organisation name Individual name Electronic mail address Role

SST-CNR-ROMA-IT

Production Unit
Maintenance and update frequency
Annually
Other

P0M0D0H/P0M0D0H

Maintenance note

N/A

GEMET - INSPIRE themes, version 1.0

  • Oceanographic geographical features
Discipline
  • satellite-observation
Climate and Forecast Standard Names
  • sea_surface_temperature
Temporal scale
  • multi-year
Area of benefit
  • weather-climate-and-seasonal-forecasting
  • coastal-marine-environment
  • marine-safety
  • marine-resources
Reference Geographical Areas
  • mediterranean-sea
Processing level
  • N/A
Model assimilation
  • Not Applicable
Use limitation

See Copernicus Marine Environment Monitoring Service Data commitments and licence at: http://marine.copernicus.eu/web/27-service-commitments-and-licence.php

Access constraints
Other restrictions
Use constraints
License
Other legal constraints

No limitations on public access

Title

Giorgi, F., 2006. Climate change hot-spots. Geophys. Res. Lett., 33:L08707, https://doi.org/10.1029/2006GL025734

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Deser, C., Alexander, M. A., Xie, S.-P., Phillips, A. S., 2010. Sea Surface Temperature Variability: Patterns and Mechanisms. Annual Review of Marine Science 2010 2:1, 115-143. https://doi.org/10.1146/annurev-marine-120408-151453

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

GCOS. Global Climate Observing System. 2010. Update of the Implementation Plan for the Global Observing System for Climate in Support of the UNFCCC (GCO-138).

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Aggregate Datasetindentifier
44f025aa-ea29-45d3-b10d-575b774f02ce
Association Type
Cross reference
Initiative Type
Document
Aggregate Datasetindentifier
5a6a4d6a-72ba-4a94-b486-7d8afd53842f
Association Type
Cross reference
Initiative Type
Document
Aggregate Datasetindentifier
49619510-626d-4083-b44c-7c77cb0da567
Association Type
Cross reference
Initiative Type
Document
Title

Hobday, A. J., Oliver, E. C., Gupta, A. S., Benthuysen, J. A., Burrows, M. T., Donat, M. G., ... & Smale, D. A. (2018). Categorizing and naming marine heatwaves. Oceanography, 31(2), 162-173.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Merchant, C. J., Embury, O., Bulgin, C. E., Block, T., Corlett, G. K., Fiedler, E., ... & Eastwood, S. (2019). Satellite-based time-series of sea-surface temperature since 1981 for climate applications. Scientific data, 6(1), 1-18.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Mulet, S., Buongiorno Nardelli, B., Good, S., Pisano, A., Greiner, E., Monier, M., Autret, E., Axell, L., Boberg, F., Ciliberti, S., Drévillon, M., Droghei, R., Embury, O., Gourrion, J., Høyer, J., Juza, M., Kennedy, J., Lemieux-Dudon, B., Peneva, E., Reid, R., Simoncelli, S., Storto, A., Tinker, J., Von Schuckmann, K., Wakelin, S. L., 2018. Ocean temperature and salinity. In: Copernicus Marine Service Ocean State Report, Issue 2, Journal of Operational Oceanography, 11:sup1, s5–s13, DOI: 10.1080/1755876X.2018.1489208

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Pezzulli, S., Stephenson, D. B., Hannachi, A., 2005. The Variability of Seasonality. J. Climate. 18:71–88. doi:10.1175/JCLI-3256.1.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Roquet, H., Pisano, A., Embury, O., 2016. Sea surface temperature. In: von Schuckmann et al. 2016, The Copernicus Marine Environment Monitoring Service Ocean State Report, Jour. Operational Ocean., vol. 9, suppl. 2. doi:10.1080/1755876X.2016.1273446.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Saha, Korak; Zhao, Xuepeng; Zhang, Huai-min; Casey, Kenneth S.; Zhang, Dexin; Baker-Yeboah, Sheekela; Kilpatrick, Katherine A.; Evans, Robert H.; Ryan, Thomas; Relph, John M. (2018). AVHRR Pathfinder version 5.3 level 3 collated (L3C) global 4km sea surface temperature for 1981-Present. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.7289/v52j68xx

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Sen, P. K., 1968. Estimates of the regression coefficient based on Kendall’s tau. J Am Statist Assoc. 63:1379–1389.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Pisano, A., Marullo, S., Artale, V., Falcini, F., Yang, C., Leonelli, F. E., Santoleri, R. and Buongiorno Nardelli, B.: New Evidence of Mediterranean Climate Change and Variability from Sea Surface Temperature Observations, Remote Sens., 12(1), 132, doi:10.3390/rs12010132, 2020.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Pastor, F., Valiente, J. A., & Khodayar, S. (2020). A Warming Mediterranean: 38 Years of Increasing Sea Surface Temperature. Remote Sensing, 12(17), 2687.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Olita, A., Sorgente, R., Natale, S., Gaberšek, S., Ribotti, A., Bonanno, A., & Patti, B. (2007). Effects of the 2003 European heatwave on the Central Mediterranean Sea: surface fluxes and the dynamical response. Ocean Science, 3(2), 273-289.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Title

Sen, P. K., 1968. Estimates of the regression coefficient based on Kendall’s tau. J Am Statist Assoc. 63:1379–1389.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Language

eng

Topic category
  • Oceans
Description

bounding box

N
S
E
W


Begin date
1982-01-01

Vertical extent

Minimum value
0
Maximum value
0

Vertical CRS

No information provided.
Supplemental Information

display priority: 53800

Codespace

EPSG

Number of dimensions
2
Dimension name
Row
Dimension name
Column
Cell geometry
Area
Transformation parameter availability
Distribution format
Name Version

NetCDF-4

Distributor

OnLine resource
Protocol Linkage Name

WWW:STAC

https://stac.marine.copernicus.eu/metadata/MEDSEA_OMI_TEMPSAL_sst_area_averaged_anomalies/medsea_omi_tempsal_sst_area_averaged_anomalies_202311/dataset.stac.json

medsea_omi_tempsal_sst_area_averaged_anomalies

OGC:WMTS

https://wmts.marine.copernicus.eu/teroWmts/MEDSEA_OMI_TEMPSAL_sst_trend/medsea_omi_tempsal_sst_trend_202311?service=WTMS&request=GetCapabilities

medsea_omi_tempsal_sst_area_averaged_anomalies

Hierarchy level
Series

Conformance result

Title

COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Explanation

See the referenced specification

Statement

The myOcean products depends on other products for production or validation. The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 Xpath = "gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' or 'upstream-production']")

Attribute description
observation
Content type
Physical measurement
Descriptor

vertical level number: 1

Descriptor

temporal resolution: monthly mean

Included with dataset
Feature types
Point series

Metadata

File identifier
2b3f56af-9159-4f81-acbf-eeb3cb016866
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name

Copernicus Marine Service product specification

Date stamp
2025-04-22T09:07:00.512564Z
Metadata standard name

ISO 19139, MyOcean profile

Metadata standard version

0.2

Metadata author
Organisation name Individual name Electronic mail address Role

CMEMS

servicedesk.cmems@mercator-ocean.eu

Local service desk
 
 

accessData

 

Overviews

Overview

Tags

Area of benefit
coastal-marine-environment marine-resources marine-safety weather-climate-and-seasonal-forecasting
Climate and Forecast Standard Names
sea_surface_temperature
Discipline
satellite-observation
GEMET - INSPIRE themes, version 1.0
Oceanographic geographical features
Model assimilation
Not Applicable
Processing level
N/A
Reference Geographical Areas
mediterranean-sea
Temporal scale
multi-year