Atlantic Iberian Biscay Mean Sea Level time series and trend from Observations Reprocessing

'''DEFINITION'''


The sea level ocean monitoring indicator has been presented in the Copernicus Ocean State Report #8. The ocean monitoring indicator on regional mean sea level is derived from the DUACS delayed-time (DT-2024 version, “my” (multi-year) dataset used when available, “myint” (multi-year interim) used after) sea level anomaly maps from satellite altimetry based on a stable number of altimeters (two) in the satellite constellation. These products are distributed by the Copernicus Climate Change Service and the Copernicus Marine Service (SEALEVEL_GLO_PHY_CLIMATE_L4_MY_008_057).


The time series of area averaged anomalies correspond to the area average of the maps in the Irish-Biscay-Iberian (IBI) Sea weighted by the cosine of the latitude (to consider the changing area in each grid with latitude) and by the proportion of ocean in each grid (to consider the coastal areas). The time series are corrected from regional mean GIA correction (weighted GIA mean of a 27 ensemble model following Spada et Melini, 2019). The time series are adjusted for seasonal annual and semi-annual signals and low-pass filtered at 6 months. Then, the trends/accelerations are estimated on the time series using ordinary least square fit.The trend uncertainty is provided in a 90% confidence interval. It is calculated as the weighted mean uncertainties in the region from Prandi et al., 2021. This estimate only considers errors related to the altimeter observation system (i.e., orbit determination errors, geophysical correction errors and inter-mission bias correction errors). The presence of the interannual signal can strongly influence the trend estimation considering to the altimeter period considered (Wang et al., 2021; Cazenave et al., 2014). The uncertainty linked to this effect is not considered.


""CONTEXT ""


Change in mean sea level is an essential indicator of our evolving climate, as it reflects both the thermal expansion of the ocean in response to its warming and the increase in ocean mass due to the melting of ice sheets and glaciers (WCRP Global Sea Level Budget Group, 2018). At regional scale, sea level does not change homogenously. It is influenced by various other processes, with different spatial and temporal scales, such as local ocean dynamic, atmospheric forcing, Earth gravity and vertical land motion changes (IPCC WGI, 2021). The adverse effects of floods, storms and tropical cyclones, and the resulting losses and damage, have increased as a result of rising sea levels, increasing people and infrastructure vulnerability and food security risks, particularly in low-lying areas and island states (IPCC, 2022a). Adaptation and mitigation measures such as the restoration of mangroves and coastal wetlands, reduce the risks from sea level rise (IPCC, 2022b).


In IBI region, the RMSL trend is modulated by decadal variations. As observed over the global ocean, the main actors of the long-term RMSL trend are associated with anthropogenic global/regional warming. Decadal variability is mainly linked to the strengthening or weakening of the Atlantic Meridional Overturning Circulation (AMOC) (e.g. Chafik et al., 2019). The latest is driven by the North Atlantic Oscillation (NAO) for decadal (20-30y) timescales (e.g. Delworth and Zeng, 2016). Along the European coast, the NAO also influences the along-slope winds dynamic which in return significantly contributes to the local sea level variability observed (Chafik et al., 2019).


""KEY FINDINGS ""


Over the [1999/02/21 to 2023/12/31] period, the area-averaged sea level in the IBI area rises at a rate of 4.7 ± 0.8 mm/yr with an acceleration of 0.30 ± 0.06 mm/yr². This trend estimation is based on the altimeter measurements corrected from global GIA correction (Spada et Melini, 2019) to consider the ongoing movement of land. T The TOPEX-A is no longer included in the computation of regional mean sea level parameters (trend and acceleration) with version 2024 products due to potential drifts, and ongoing work aims to develop a new empirical correction. Calculation begins in February 1999 (the start of the TOPEX-B period).


'''DOI (product):'''

https://doi.org/10.48670/moi-00252

 

Simple

Title

Atlantic Iberian Biscay Mean Sea Level time series and trend from Observations Reprocessing

Alternate title

OMI_CLIMATE_SL_IBI_area_averaged_anomalies

Date (Creation)
2023-11-30
Edition

3.4

Edition date
2025-06-24
Citation identifier
a78600a4-a280-47b5-8ddd-0dc8b5e9c9d9
Abstract

'''DEFINITION'''


The sea level ocean monitoring indicator has been presented in the Copernicus Ocean State Report #8. The ocean monitoring indicator on regional mean sea level is derived from the DUACS delayed-time (DT-2024 version, “my” (multi-year) dataset used when available, “myint” (multi-year interim) used after) sea level anomaly maps from satellite altimetry based on a stable number of altimeters (two) in the satellite constellation. These products are distributed by the Copernicus Climate Change Service and the Copernicus Marine Service (SEALEVEL_GLO_PHY_CLIMATE_L4_MY_008_057).


The time series of area averaged anomalies correspond to the area average of the maps in the Irish-Biscay-Iberian (IBI) Sea weighted by the cosine of the latitude (to consider the changing area in each grid with latitude) and by the proportion of ocean in each grid (to consider the coastal areas). The time series are corrected from regional mean GIA correction (weighted GIA mean of a 27 ensemble model following Spada et Melini, 2019). The time series are adjusted for seasonal annual and semi-annual signals and low-pass filtered at 6 months. Then, the trends/accelerations are estimated on the time series using ordinary least square fit.The trend uncertainty is provided in a 90% confidence interval. It is calculated as the weighted mean uncertainties in the region from Prandi et al., 2021. This estimate only considers errors related to the altimeter observation system (i.e., orbit determination errors, geophysical correction errors and inter-mission bias correction errors). The presence of the interannual signal can strongly influence the trend estimation considering to the altimeter period considered (Wang et al., 2021; Cazenave et al., 2014). The uncertainty linked to this effect is not considered.


""CONTEXT ""


Change in mean sea level is an essential indicator of our evolving climate, as it reflects both the thermal expansion of the ocean in response to its warming and the increase in ocean mass due to the melting of ice sheets and glaciers (WCRP Global Sea Level Budget Group, 2018). At regional scale, sea level does not change homogenously. It is influenced by various other processes, with different spatial and temporal scales, such as local ocean dynamic, atmospheric forcing, Earth gravity and vertical land motion changes (IPCC WGI, 2021). The adverse effects of floods, storms and tropical cyclones, and the resulting losses and damage, have increased as a result of rising sea levels, increasing people and infrastructure vulnerability and food security risks, particularly in low-lying areas and island states (IPCC, 2022a). Adaptation and mitigation measures such as the restoration of mangroves and coastal wetlands, reduce the risks from sea level rise (IPCC, 2022b).


In IBI region, the RMSL trend is modulated by decadal variations. As observed over the global ocean, the main actors of the long-term RMSL trend are associated with anthropogenic global/regional warming. Decadal variability is mainly linked to the strengthening or weakening of the Atlantic Meridional Overturning Circulation (AMOC) (e.g. Chafik et al., 2019). The latest is driven by the North Atlantic Oscillation (NAO) for decadal (20-30y) timescales (e.g. Delworth and Zeng, 2016). Along the European coast, the NAO also influences the along-slope winds dynamic which in return significantly contributes to the local sea level variability observed (Chafik et al., 2019).


""KEY FINDINGS ""


Over the [1999/02/21 to 2023/12/31] period, the area-averaged sea level in the IBI area rises at a rate of 4.7 ± 0.8 mm/yr with an acceleration of 0.30 ± 0.06 mm/yr². This trend estimation is based on the altimeter measurements corrected from global GIA correction (Spada et Melini, 2019) to consider the ongoing movement of land. T The TOPEX-A is no longer included in the computation of regional mean sea level parameters (trend and acceleration) with version 2024 products due to potential drifts, and ongoing work aims to develop a new empirical correction. Calculation begins in February 1999 (the start of the TOPEX-B period).


'''DOI (product):'''

https://doi.org/10.48670/moi-00252

Credit

E.U. Copernicus Marine Service Information

Point of contact
Organisation name Individual name Electronic mail address Role

SL-CLS-TOULOUSE-FR

Production Unit
Maintenance and update frequency
Annually
Other

P0M0D0H/P0M0D0H

Maintenance note

N/A

Maintenance and update frequency
Quarterly

GEMET - INSPIRE themes, version 1.0

  • Oceanographic geographical features
Discipline
  • satellite-observation
Climate and Forecast Standard Names
  • sea_surface_height_above_sea_level
Temporal scale
  • multi-year
Area of benefit
  • marine-resources
  • marine-safety
  • weather-climate-and-seasonal-forecasting
  • coastal-marine-environment
Reference Geographical Areas
  • iberian-biscay-irish-seas
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

Cazenave, A., Dieng, H.-B., Meyssignac, B., von Schuckmann, K., Decharme, B., and Berthier, E.: The rate of sea-level rise, Nat. Clim. Change, 4, 358–361, https://doi.org/10.1038/nclimate2159, 2014.

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

Chafik, L., Nilsen, J. E. Ø., Dangendorf, S., Reverdin, G., and Frederikse, T.: North Atlantic Ocean Circulation and Decadal Sea Level Change During the Altimetry Era, Sci. Rep., 9, 1041, https://doi.org/10.1038/s41598-018-37603-6, 2019.

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

Delworth, T. L. and Zeng, F.: The Impact of the North Atlantic Oscillation on Climate through Its Influence on the Atlantic Meridional Overturning Circulation, J. Clim., 29, 941–962, https://doi.org/10.1175/JCLI-D-15-0396.1, 2016.

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

IPCC: Summary for Policymakers [H.-O. Pörtner, D.C. Roberts, E.S. Poloczanska, K. Mintenbeck, M. Tignor, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem (eds.)]. In: Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [H.-O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, B. Rama (eds.)], 2022a.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Aggregate Datasetindentifier
07699fd5-0e8b-4c71-91cc-caf8bad28712
Association Type
Cross reference
Initiative Type
Document
Title

IPCC: Summary for Policymakers. In: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [P.R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, J. Malley, (eds.)], , https://doi.org/10.1017/9781009157926.001, 2022b.

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

IPCC WGI: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, 2021.

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

Prandi, P., Meyssignac, B., Ablain, M., Spada, G., Ribes, A., and Benveniste, J.: Local sea level trends, accelerations and uncertainties over 1993–2019, Sci. Data, 8, 1, https://doi.org/10.1038/s41597-020-00786-7, 2021.

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

Spada, G. and Melini, D.: SELEN4 (SELEN version 4.0): a Fortran program for solving the gravitationally and topographically self-consistent sea-level equation in glacial isostatic adjustment modeling, Geosci. Model Dev., 12, 5055–5075, https://doi.org/10.5194/gmd-12-5055-2019, 2019.

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

Von Schuckmann et al., “The State of the Global Ocean, Issue 8.”

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

Wang, J., Church, J. A., Zhang, X., and Chen, X.: Reconciling global mean and regional sea level change in projections and observations, Nat. Commun., 12, 990, https://doi.org/10.1038/s41467-021-21265-6, 2021.

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

WCRP Global Sea Level Budget Group: Global sea-level budget 1993–present, Earth Syst. Sci. Data, 10, 1551–1590, https://doi.org/10.5194/essd-10-1551-2018, 2018.

Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
Reference
Aggregate Datasetindentifier
48cff25a-1e64-49d9-9dee-ab64a6476bbc
Association Type
Cross reference
Initiative Type
Document
Aggregate Datasetindentifier
8aecafc5-273a-44d1-8d29-ab2fde271449
Association Type
Cross reference
Initiative Type
Document
Language

eng

Topic category
  • Oceans
Description

bounding box

N
S
E
W


Begin date
1993-01-01

Vertical extent

Minimum value
0
Maximum value
0

Vertical CRS

No information provided.
Supplemental Information

display priority: 53800

Reference system identifier
EPSG / N/A
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/OMI_CLIMATE_SL_IBI_area_averaged_anomalies/omi_climate_sl_ibi_area_averaged_anomalies_202406/dataset.stac.json

omi_climate_sl_ibi_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: pluri-annual mean

Included with dataset
Feature types
timeseries

Metadata

File identifier
e2b67281-5de1-4258-b221-0eff579f788a
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name

Copernicus Marine Service product specification

Date stamp
2025-04-23T07:47:45.606073Z
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_height_above_sea_level
Discipline
satellite-observation
GEMET - INSPIRE themes, version 1.0
Oceanographic geographical features
Model assimilation
Not Applicable
Processing level
N/A
Reference Geographical Areas
iberian-biscay-irish-seas
Temporal scale
multi-year