The South Georgia Wave Experiment: A Means for Improved Analysis of Gravity Waves and Low-Level Wind Impacts Generated from Mountainous Islands

Author:

Jackson D. R.1,Gadian A.2,Hindley N. P.3,Hoffmann L.4,Hughes J.2,King J.5,Moffat-Griffin T.5,Moss A. C.6,Ross A. N.2,Vosper S. B.7,Wright C. J.6,Mitchell N. J.6

Affiliation:

1. Met Office, Exeter, and University of Bath, Bath, United Kingdom

2. University of Leeds, Leeds, United Kingdom

3. University of Bath, Bath, and University of Leeds, Leeds, United Kingdom

4. Forschungszentrum Jülich, Jülich, Germany

5. British Antarctic Survey, Cambridge, United Kingdom

6. University of Bath, Bath, United Kingdom

7. Met Office, Exeter, and University of Leeds, Leeds, United Kingdom

Abstract

AbstractGravity waves (GWs) play an important role in many atmospheric processes. However, the observation-based understanding of GWs is limited, and representing them in numerical models is difficult. Recent studies show that small islands can be intense sources of GWs, with climatologically significant effects on the atmospheric circulation. South Georgia, in the South Atlantic, is a notable source of such “small island” waves. GWs are usually too small scale to be resolved by current models, so their effects are represented approximately using resolved model fields (parameterization). However, the small-island waves are not well represented by such parameterizations, and the explicit representation of GWs in very-high-resolution models is still in its infancy. Steep islands such as South Georgia are also known to generate low-level wakes, affecting the flow hundreds of kilometers downwind. These wakes are also poorly represented in models.We present results from the South Georgia Wave Experiment (SG-WEX) for 5 July 2015. Analysis of GWs from satellite observations is augmented by radiosonde observations made from South Georgia. Simulations were also made using high-resolution configurations of the Met Office Unified Model (UM). Comparison with observations indicates that the UM performs well for this case, with realistic representation of GW patterns and low-level wakes. Examination of a longer simulation period suggests that the wakes generally are well represented by the model. The realism of these simulations suggests they can be used to develop parameterizations for use at coarser model resolutions.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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