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Charles A. Doswell III

Abstract

Using a case study of a relatively modest severe weather event as an example, a framework for understanding the large-scale-mesoscale interaction is developed and discussed. Large-scale processes are limited, by definition, to those which are quasi-geostrophic. Mesoscale processes are defined to be those which are linked in essence to processes occurring on both larger and smaller scales. It is proposed that convective systems depend primarily on large-scale processes for developing a suitable thermodynamic structure, while mesoscale processes act mainly to initiate convection. The case study is presented not as a “typical” event in its particulars, but rather to suggest the complex ways in which large-scale and mesoscale processes can interact. Implications for forecasting are an essential part of the discussion, since mesoscale systems are so difficult to predict with the present knowledge and technology available in operations.

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Charles A. Doswell III

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Charles A. Doswell III

Abstract

A method is developed for designing specific filtering properties into a weighted-average interpolation scheme. Both spatial and temporal filtering are simultaneously accomplished, resulting in good time continuity as well as smooth spatial patterns. Both low-pass and band-pass filters are shown, with the band-pass results designed to emphasize details of the fields at the resolution limits for conventional surface data. These filters are applied to surface data on a severe thunderstorm day in Oklahoma. Results suggest that divergence fields calculated from the filtered data are well correlated with severe weather events, which develop only after several hours of preexisting moisture convergence.

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Charles A. Doswell III

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Charles A. Doswell III

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Charles A. Doswell III

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Charles A. Doswell III

Abstract

No Abstract available.

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