Analysis of convectively-generated gravity waves in mesoscale model simulations and wind profiler observations

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Chagnon, J. M. and Gray, S. L. orcid id iconORCID: https://orcid.org/0000-0001-8658-362X (2008) Analysis of convectively-generated gravity waves in mesoscale model simulations and wind profiler observations. Quarterly Journal of the Royal Meteorological Society, 134 (632). pp. 663-676. ISSN 1477-870X doi: 10.1002/qj.239

Abstract/Summary

The characteristics of convectively-generated gravity waves during an episode of deep convection near the coast of Wales are examined in both high resolution mesoscale simulations [with the (UK) Met Oce Unified Model] and in observations from a Mesosphere-Stratosphere-Troposphere (MST) wind profiling Doppler radar. Deep convection reached the tropopause and generated vertically propagating, high frequency waves in the lower stratosphere that produced vertical velocity perturbations O(1 m/s). Wavelet analysis is applied in order to determine the characteristic periods and wavelengths of the waves. In both the simulations and observations, the wavelet spectra contain several distinct preferred scales indicated by multiple spectral peaks. The peaks are most pronounced in the horizontal spectra at several wavelengths less than 50 km. Although these peaks are most clear and of largest amplitude in the highest resolution simulations (with 1 km horizontal grid length), they are also evident in coarser simulations (with 4 km horizontal grid length). Peaks also exist in the vertical and temporal spectra (between approximately 2.5 and 4.5 km, and 10 to 30 minutes, respectively) with good agreement between simulation and observation. Two-dimensional (wavenumber-frequency) spectra demonstrate that each of the selected horizontal scales contains peaks at each of preferred temporal scales revealed by the one- dimensional spectra alone.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/1246
Identification Number/DOI 10.1002/qj.239
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Royal Meteorological Society
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