EPSRC Reference: |
GR/K75583/01 |
Title: |
NONLINEAR WAVE-VORTEX DECOMPOSITION AND INTERACTION |
Principal Investigator: |
McIntyre, Professor ME |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Applied Maths and Theoretical Physics |
Organisation: |
University of Cambridge |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 November 1996 |
Ends: |
29 February 2000 |
Value (£): |
125,137
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EPSRC Research Topic Classifications: |
Non-linear Systems Mathematics |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
A new method of nonlinear wave-vortex decomposition building on the concept of nonlinear potential-vorticity inversion will be devised and tested in the context of realistic flow regimes relevant to practical weather and climate and ocean-current forecasting. This will improve on standard, near-wave-vortex decomposition by incorporating important dissipative and non-dissipative wave-vortex interaction effects, for instance the breaking of inertia-gravity waves in the lower stratosphere, which may cause the concurrent appearance of layers of clear-air turbulence and related vertical mixing and transport of ozone and other chemical constituents. The computational feasibility and efficiency of the new method will be assessed in the context of recent developments in data assimilation in numerical weather-forecasting models, in which the new method will allow better exploitation of the expensive observational data by, for instance, shedding light on what is now treated as the `contamination' of data by inertia-gravity-wave noise. The results of this study will be of interest to weather forecasting services, and researchers active in geophysical fluid atmospheric or oceanographic field observation, and data analysis.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.cam.ac.uk |