The importance of surface layer parameterization in modeling of stable atmospheric boundary layers

被引：17

作者：

Tastula, Esa-Matti ^{[1
]}

Galperin, Boris ^{[1
]}

Sukoriansky, Semion ^{[2
]}

Luhar, Ashok ^{[3
]}

Anderson, Phil ^{[4
]}

机构：

[1] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA

[2] Ben Gurion Univ Negev, Dept Mech Engn, IL-84105 Beer Sheva, Israel

[3] CSIRO Marine & Atmospher Res, Aspendale, Vic, Australia

[4] Scottish Assoc Marine Sci, Oban, Argyll, Scotland

来源：

ATMOSPHERIC SCIENCE LETTERS | 2015年 / 16卷 / 01期

关键词：

constant flux layer; Deacon numbers; stable stratification; turbulence parameterization; FLUX-PROFILE RELATIONSHIPS; MONIN-OBUKHOV SIMILARITY; BULK PARAMETERIZATION; SNOW; TURBULENCE; ENERGY;

D O I：

10.1002/asl2.525

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

The accuracy of prediction of stable atmospheric boundary layers depends on the parameterization of the surface layer which is usually derived from the Monin-Obukhov similarity theory. In this article, several surface-layer models in the format of velocity and potential temperature Deacon numbers are compared with observations from CASES99, Cardington, and Halley datasets. The comparisons were hindered by a large amount of scatter within and among datasets. Tests utilizing R-2 demonstrated that the quasi-normal scale elimination (QNSE) theory exhibits the best overall performance. Further proof of this was provided by 1D simulations with the Weather Research and Forecasting (WRF) model.

引用

页码：83 / 88

页数：6

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