Downscaling the climate change for oceans around Australia

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Abstract

At present, global climate models used to project changes in climate poorly resolve mesoscale ocean features such as boundary currents and eddies. These missing features may be important to realistically project the marine impacts of climate change. Here we present a framework for dynamically downscaling coarse climate change projections utilising a near-global ocean model that resolves these features in the Australasian region, with coarser resolution elsewhere. A time-slice projection for a 2060s ocean was obtained by adding climate change anomalies to initial conditions and surface fluxes of a near-global eddy-resolving ocean model. Climate change anomalies are derived from the differences between present and projected climates from a coarse global climate model. These anomalies are added to observed fields, thereby reducing the effect of model bias from the climate model. The downscaling model used here is ocean-only and does not include the effects that changes in the ocean state will have on the atmosphere and air-sea fluxes. We use restoring of the sea surface temperature and salinity to approximate real-ocean feedback on heat flux and to keep the salinity stable. Extra experiments with different feedback parameterisations are run to test the sensitivity of the projection. Consistent spatial differences emerge in sea surface temperature, salinity, stratification and transport between the downscaled projections and those of the climate model. Also, the spatial differences become established rapidly (< 3 yr), indicating the importance of mesoscale resolution. However, the differences in the magnitude of the difference between experiments show that feedback of the ocean onto the air-sea fluxes is still important in determining the state of the ocean in these projections. Until such a time when it is feasible to regularly run a global climate model with eddy resolution, our framework for ocean climate change downscaling provides an attractive way to explore the response of mesoscale ocean features with climate change and their effect on the broader ocean. © 2012 Author(s).

Figures

  • Fig. 1. Boundary currents around Australia, based on Poloczanska et al. (2007).
  • Table 1. Details of ODM experiments presented.
  • Fig. 2. Comparison of the surface currents from AOGCM (left column) and ODM (right). Shown are 10-year mean (top row) and monthly snapshots (bottom) of surface current velocity. Colours show the velocity magnitude (in ms−1), arrows indicate direction.
  • Fig. 3. Monthly snapshots of SST (top row, ◦C) and mean sea surface salinities (bottom, practical salinity units – psu) for AOGCM, ODM and satellite AVHRR (Advanced Very High Resolution Radiometer) observations with the present climate.
  • Fig. 4. Average forcing fields of heat (top), freshwater (middle) and surface stress (bottom) applied to ODM experiments. Forcings from present climatology are in the left column, climate anomalies in the right. The centre column shows the diagnosed fluxes for heat and freshwater based on the ODM spinup as the ocean was restored to observed surface fields, and the ocean feedback calculated to surface stress (see Sect. 2.5.2).
  • Fig. 5. Time series of monthly SST averaged over the region of interest for the RELX ODM projection. Also shown is the same SST smoothed with a 12-month filter.
  • Fig. 6. Taylor diagram of the convergence of SST in the RELX experiment. The radial position is the standard deviation of the difference between the annual SST and the guide field for each year of the experiment (in ◦C). The angular position gives the correlation of SST difference fields with the field of the following year, so point “5” is the correlation of SST from years 5 and 6. A perfectly correlated (or anti-correlated) field would appear somewhere on the x-axis on the Taylor diagram, a completely uncorrelated field would be on the y-axis. The value of the difference in the average for the Australian region to the average of the final year (◦C) is represented by the colour of each point.
  • Fig. 7. EAC volume transport (1 Sv= 106 m3 s−1) in ODM experiments through a section at 28◦ S. Volume transports shown are annual averages of the integrated north–south flow through 153–157◦ E and 0–600 m depth; values are negative since the flow is to the south. Transport in CTRL is a thin dashed line, which is shifted in time, RELX is a solid line, STRS is a dash–dot line. Note that all these experiments use repeat-year forcing, so the year values only indicate the year into each simulation, not the calendar year.

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CITATION STYLE

APA

Chamberlain, M. A., Sun, C., Matear, R. J., Feng, M., & Phipps, S. J. (2012). Downscaling the climate change for oceans around Australia. Geoscientific Model Development, 5(5), 1177–1194. https://doi.org/10.5194/gmd-5-1177-2012

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