On Improving 4-km Mesoscale Model Simulations | Zendy

Aijun Deng | Zendy; D. Stauffer | Zendy

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On Improving 4-km Mesoscale Model Simulations

Author(s) -

Aijun Deng,

D. Stauffer

Publication year - 2006

Publication title -

journal of applied meteorology and climatology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.079

H-Index - 134

eISSN - 1558-8432

pISSN - 1558-8424

DOI - 10.1175/jam2341.1

Subject(s) - mesoscale meteorology , meteorology , advection , mm5 , environmental science , convection , planetary boundary layer , parametrization (atmospheric modeling) , convective available potential energy , atmospheric convection , forcing (mathematics) , climatology , precipitation , convective storm detection , numerical weather prediction , turbulence , large eddy simulation , atmospheric sciences , physics , geology , radiative transfer , thermodynamics , quantum mechanics

A previous study showed that use of analysis-nudging four-dimensional data assimilation (FDDA) and improved physics in the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) produced the best overall performance on a 12-km-domain simulation, based on the 18–19 September 1983 Cross-Appalachian Tracer Experiment (CAPTEX) case. However, reducing the simulated grid length to 4 km had detrimental effects. The primary cause was likely the explicit representation of convection accompanying a cold-frontal system. Because no convective parameterization scheme (CPS) was used, the convective updrafts were forced on coarser-than-realistic scales, and the rainfall and the atmospheric response to the convection were too strong. The evaporative cooling and downdrafts were too vigorous, causing widespread disruption of the low-level winds and spurious advection of the simulated tracer. In this study, a series of experiments was designed to address this g...

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