The relationship between gravity wave momentum fluxes and local wind speed is investigated for oceanic regions at high southern latitudes during austral spring. The motivation is to better describe the gravity wave field by identifying a simple relationship between gravity waves and the large-scale flow. The tools used to describe the gravity waves are probability density functions of the gravity wave momentum fluxes. Three independent datasets covering high latitudes in the Southern Hemisphere springtime are analyzed: simulations with a mesoscale model, analyses from the European Centre for Medium-Range Weather Forecasts, and observations from superpressure balloons of the Concordiasi campaign in 2010. A remarkably robust relation is found, with stronger momentum fluxes much more likely in regions of strong winds. The tails of the probability density functions are well described as lognormal. The median momentum flux increases linearly with background wind speed: for winds stronger than 50 ms-(1), the median gravity wave momentum fluxes are about 4 times larger than for winds weaker than 10 ms(-1). From model output, this relation is found to be relevant from the tropo-pause to the midstratosphere at least. The flux dependence on wind speed shows a somewhat steeper slope at higher altitude. Several different processes contribute to this relation, involving both the distribution of sources and the effects of propagation and filtering. It is argued that the location of tropospheric sources is the main contributor in the upper troposphere and lowermost stratosphere and that lateral propagation into regions of strong winds becomes increasingly important above.
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Sun Yat Sen Univ, Sch Atmospher Sci, Ctr Monsoon & Environm Res, Guangzhou, Guangdong, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Ctr Monsoon & Environm Res, Guangzhou, Guangdong, Peoples R China
Du, Yu
Zhang, Fuqing
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Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA
Penn State Univ, Ctr Adv Data Assimilat & Predictabil Tech, University Pk, PA 16802 USASun Yat Sen Univ, Sch Atmospher Sci, Ctr Monsoon & Environm Res, Guangzhou, Guangdong, Peoples R China
机构:
Oceanum Ltd, New Plymouth, New ZealandUniv Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia
Durrant, Tom
Filchuk, Kirill
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Arctic & Antarctic Res Inst, St Petersburg, RussiaUniv Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia
Filchuk, Kirill
Ewans, Kevin
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Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia
MetOcean Res Ltd, New Plymouth, New ZealandUniv Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia
Ewans, Kevin
Hemer, Mark
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Commonwealth Sci & Ind Res Org, Hobart, Tas, AustraliaUniv Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia
Hemer, Mark
Janssen, Tim
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Spoondrift Technol Inc, San Francisco, CA USAUniv Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia