4.6 Article

The predictability of a squall line in South China on 23 April 2007

Journal

ADVANCES IN ATMOSPHERIC SCIENCES
Volume 30, Issue 2, Pages 485-502

Publisher

SCIENCE PRESS
DOI: 10.1007/s00376-012-2076-x

Keywords

squall line; predictability; South China; ensemble; moisture

Funding

  1. National Key Basic Research Program of China [2013CB430104]
  2. National Natural Science Foundation [NSFC41075031, NSFC40921160380]
  3. R&D Special Fund for Public Welfare Industry (meteorology) [GYHY200906025]

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This study investigated the predictability of a squall line associated with a quasi-stationary front on 23 April 2007 in South China through deterministic and probabilistic forecasts. Our results show that the squall-line simulation was very sensitive to model error from horizontal resolution and uncertainties in physical parameterization schemes. At least a 10-km grid size was necessary to decently capture this squall line. The simulated squall line with a grid size of 4.5 km was most sensitive to long-wave radiation parameterization schemes relative to other physical schemes such as microphysics and planetary boundary layer. For a grid size from 20 to 5 km, a cumulus parameterization scheme degraded the squall-line simulation (relative to turning it off), with a more severe degradation to grid size < 10 km than > 10 km. The sensitivity of the squall-line simulation to initial error was investigated through ensemble forecast. The performance of the ensemble simulation of the squall line was very sensitive to the initial error. Approximately 15% of the ensemble members decently captured the evolution of the squall line, 25% failed, and 60% dislocated the squall line. Using different combinations of physical parameterization schemes for different members can improve the probabilistic forecast. The lead time of this case was only a few hours. Error growth was clearly associated with moist convection development. A linear improvement in the performance of the squall line simulation was observed when the initial error was decreased gradually, with the largest contribution from initial moisture field.

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