A multistage error-growth conceptual model for mesoscale predictability

Fuqing Zhang, N. Bei, C. C. Epifanio, R. Rotunno, C. Snyder

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

A multistage error-growth conceptual model was developed by examining the forecast difference between two cloud-resolving simulations. In the initial stage, errors first grow from small-scale convective instability but then quickly saturate at the convective scales on time scales of 0(1 h). In the transitional stage, the errors transform from convective-scale unbalanced motions through geostrophic adjustment and/or cold-pool dynamics. In the final stage, the balanced components of the errors project onto the large-scale flow and grow with the background baroclinic instability. An examination of the difference-error energy budget revealed that bouyancy production due mostly to moist convection is comparable to shear production due to nonlinear advection.

Original languageEnglish (US)
Pages (from-to)287-288
Number of pages2
JournalBulletin of the American Meteorological Society
Volume87
Issue number3
StatePublished - Mar 2006

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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    Zhang, F., Bei, N., Epifanio, C. C., Rotunno, R., & Snyder, C. (2006). A multistage error-growth conceptual model for mesoscale predictability. Bulletin of the American Meteorological Society, 87(3), 287-288.