Potential Vorticity Dynamics of Forecast Errors: A Quantitative Case Study

Author:

Baumgart Marlene1,Riemer Michael1,Wirth Volkmar1,Teubler Franziska1,Lang Simon T. K.2

Affiliation:

1. Institut für Physik der Atmosphäre, Johannes Gutenberg-Universität Mainz, Mainz, Germany

2. European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

Abstract

Abstract Synoptic-scale error growth near the tropopause is investigated from a process-based perspective. Following previous work, a potential vorticity (PV) error tendency equation is derived and partitioned into individual contributions to yield insight into the processes governing error growth near the tropopause. Importantly, we focus here on the further amplification of preexisting errors and not on the origin of errors. The individual contributions to error growth are quantified in a case study of a 6-day forecast. In this case, localized mesoscale error maxima have formed by forecast day 2. These maxima organize into a wavelike pattern and reach the Rossby wave scale around forecast day 6. Error growth occurs most prominently within the Atlantic and Pacific Rossby wave patterns. In our PV framework, the error growth is dominated by the contribution of upper-level, near-tropopause PV anomalies (near-tropopause dynamics). Significant contributions from upper-tropospheric divergent flow (prominently associated with latent heat release below) and lower-tropospheric anomalies [tropospheric-deep (i.e., baroclinic) interaction] are associated with a misrepresentation of the surface cyclone development in the forecast. These contributions are, in general, of smaller importance to error growth than near-tropopause dynamics. This result indicates that the mesoscale errors generated near the tropopause do not primarily project on differences in the subsequent baroclinic growth, but instead directly project on the tropopause evolution and amplify because of differences in the nonlinear Rossby wave dynamics.

Funder

Deutsche Forschungsgemeinschaft

Johannes Gutenberg-Universität Mainz

Publisher

American Meteorological Society

Subject

Atmospheric Science

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