New consideration of lateral boundary treatment for meso- and micro-scale nested PBL simulations over complex terrain

Zihan Zhao, Yiqing Xiao, Jinghan Wang, Gang Hu, Chao Li

Research output: Contribution to journalArticleScientificpeer-review

Abstract

A detailed planetary boundary layer (PBL) flow over complex terrain can be simulated by nesting mesoscale numerical weather prediction (NWP) models and microscale computational fluid dynamics (CFD). When fully prescribed lateral boundaries are encountered, the over-specified treatment of CFD or limited-area models may result in ill-posedness and numerical instabilities. Such behaviors are due to inconsistent governing equations, turbulent viscosity models, and underlying surfaces between meso- and micro-scale formulations. In this study, by applying the relaxation treatment in marginal zones of CFD, its wind components are forced toward the externally specified NWP values. The relaxation schemes, deduced from simple advective transport equations, are optimized using genetic algorithms. Their numerical abilities in absorbing wave reflections on shallow-water systems are more efficient than the published approach. Then, key questions concerning the selection of relaxation strength, turbulence model constants, and prognostic variables specified on NWP–CFD nested boundaries are systemically investigated in the neutrally stratified Askervein Hill case. The relaxation scheme from simpler systems also performs effectively in CFD and decreases the adaption distance of wind velocities near over-specified outlet boundaries. A full set approach to obtain well-posed PBL solutions from the microscale domains sustained with inflow boundaries from NWP is proposed and validated.

Original languageEnglish
Article number105507
Pages (from-to)1-18
Number of pages18
JournalAtmospheric Research
Volume254
DOIs
Publication statusPublished - 2021

Keywords

  • Complex terrain
  • Genetic algorithms
  • Limited-area models
  • NWP-CFD
  • PBL parameterization

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