南京大学学报（自然科学版）2024，Vol.60Issue(2)：276-286,11.DOI:10.13232/j.cnki.jnju.2024.02.009
数值天气预报模式的行星边界层方案热力预报变量选择
On the choice of prognostic thermal variable in planetary boundary layer schemes for numerical weather prediction models
摘要
Abstract
In numerical weather prediction models,atmospheric boundary layer turbulence is parameterized via planetary boundary layer(PBL)schemes.Traditional PBL schemes often adopt potential temperature θ as the prognostic thermal variable,compute sensible heat flux and the corresponding θ-tendency.As such,most PBL schemes are designed by considering turbulent mixing of θ in a dry boundary layer.In fact,boundary layer convection is driven by buoyancy rather than sensible heat.The former accounts for moisture effects,and is represented by the virtual potential temperature θv.Based on turbulence-resolving large-eddy simulations,this study evaluates the applicability of sensible heat flux-based turbulence parameterizations in the moist boundary layer,focusing on counter-gradient correction related model coefficients.The performance of buoyancy flux-based parameterization is also investigated.It is found that buoyancy fluxes are consistent for the dry and moist boundary layers,with identical model coefficients for both cases.This study therefore recommends the use of θv instead of θ as the prognostic thermal variable for PBL schemes.关键词
行星边界层方案/对流边界层/虚位温/浮力通量/感热通量Key words
planetary boundary layer scheme/convective boundary layer/virtual potential temperature/buoyancy flux/sensible heat flux分类
天文与地球科学引用本文复制引用
赵怡雪,周博闻..数值天气预报模式的行星边界层方案热力预报变量选择[J].南京大学学报（自然科学版）,2024,60(2):276-286,11.基金项目
国家自然科学基金(42192555) （42192555）
