Abstract

Changes in ocean properties and circulation lead to a spatially non-uniform pattern of ocean dynamic sea-level change (DSLC). The projections of ocean dynamic sea level presented in the IPCC AR5 were constructed with global climate models (GCMs) from the Coupled Model Intercomparison Project 5 (CMIP5). Since CMIP5 GCMs have a relatively coarse resolution and exclude tides and surges it is unclear whether they are suitable for providing DSLC projections in shallow coastal regions such as the Northwestern European Shelf (NWES). One approach to addressing these shortcomings is dynamical downscaling – i.e. using a high-resolution regional model forced with output from GCMs. Here we use the regional shelf seas model AMM7 to show that, depending on the driving CMIP5 GCM, dynamical downscaling can have a large impact on DSLC simulations in the NWES region. For a business-as-usual greenhouse gas concentration scenario, we find that downscaled simulations of twenty-first century DSLC can be up to 15.5 cm smaller than DSLC in the GCM simulations along the North Sea coastline owing to unresolved processes in the GCM. Furthermore, dynamical downscaling affects the simulated time of emergence of sea-level change (SLC) above sea-level variability, and can result in differences in the projected change of the amplitude of the seasonal cycle of sea level of over 0.3 mm/yr. We find that the difference between GCM and downscaled results is of similar magnitude to the uncertainty of CMIP5 ensembles used for previous DSLC projections. Our results support a role for dynamical downscaling in future regional sea-level projections to aid coastal decision makers.

Highlights

  • An increase in coastal sea level has major socioeconomic impacts as it can lead to, for instance, flooding, erosion, saltwater intrusion and the decline of coastal wetlands (Nicholls and Cazenave 2010)

  • Previous projections of regional sea level have been constructed with the output of Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCMs) (e.g. Slangen et al 2012, 2014; Church et al 2013; de Vries et al 2014; Kopp et al 2014; Palmer et al 2018)

  • The objective of this study was to explore the use of dynamical downscaling with the regional model AMM7 to refine the CMIP5 GCM simulations of the ocean dynamic component of sea-level variability and long-term change for the Northwestern European Shelf (NWES) region

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Summary

Introduction

An increase in coastal sea level has major socioeconomic impacts as it can lead to, for instance, flooding, erosion, saltwater intrusion and the decline of coastal wetlands (Nicholls and Cazenave 2010). Dynamical downscaling has previously been applied to study present-day hydrodynamics and the regional impact of future climate change for the North Sea and the Northwestern European Shelf (NWES) region (see Schrum et al (2016) for a comprehensive review). These studies have mainly focused on future changes in ocean temperature, salinity and circulation For the North Pacific, downscaled DSLC was computed with the regional ocean model ROMS (1⁄4° by 1⁄4°) for three different driving CMIP5 GCMs (Liu et al 2016).

Data and methods
NEMO AMM7 and the CMIP5 GCMs
Downscaling setup
Atmospheric forcing
River run‐off and Baltic outflow
Lateral boundary conditions
Comparing DSLC in the GCMs with DSLC in AMM7
Observational data for model evaluation
Mean dynamic topography
Sea surface temperature and sea surface salinity
Interannual and seasonal sea‐level variability
The impact of dynamical downscaling on projected DSLC
DSLC projections for the twenty‐first century
Drivers of projected DSLC
Time of emergence of sea‐level change
Projected changes in the seasonal sea‐level cycle
Discussion and Conclusions
Findings
Compliance with ethical standards
Full Text
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