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The Influence of Vertical Advection ...

Nevius, David.

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The Influence of Vertical Advection Discretization in WRF-ARW Model on Capping Inversion Representation in Warm-season, Thunderstorm Supporting Environments.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Influence of Vertical Advection Discretization in WRF-ARW Model on Capping Inversion Representation in Warm-season, Thunderstorm Supporting Environments./
Author:	Nevius, David.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	50 p.
Notes:	Source: Masters Abstracts International, Volume: 79-12.
Contained By:	Masters Abstracts International79-12.
Subject:	Atmospheric sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10815230
ISBN:	9780438031715

The Influence of Vertical Advection Discretization in WRF-ARW Model on Capping Inversion Representation in Warm-season, Thunderstorm Supporting Environments.
Nevius, David.

The Influence of Vertical Advection Discretization in WRF-ARW Model on Capping Inversion Representation in Warm-season, Thunderstorm Supporting Environments. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 50 p.

Source: Masters Abstracts International, Volume: 79-12.

Thesis (M.S.)--The University of Wisconsin - Milwaukee, 2018.

This item must not be sold to any third party vendors.

This study evaluates forecasts of capping inversions and thermodynamic variables for believed areas of possible deep, moist convection initiation during the warm-season using the Weather Research and Forecasting Model (WRF) with the Advanced Research core (WRF-ARW). WRF-ARW was configured nearly identical to the National Severe Storms Laboratory (NSSL) version of WRF (NSSL-WRF). WRF-ARW's default third-order-accurate vertical advection scheme, which is an odd-order-accurate scheme, is known to introduce implicit damping which acts to dampen short wavelength features (Skamarock et al. 2008), such as capping inversions. It is hypothesized that by increasing WRF-ARW's vertical advection to the next higher, even-order-accurate vertical advection scheme, this would remove the associated implicit dampening, thus improving WRF-ARW's handling of capping inversion representation. After computing Student's t tests on the bias of each weather and thermodynamic variable, it was deemed that the fourth-order-accurate vertical advection scheme did not improve WRF-ARW's representation of capping inversion or other thermodynamic variables. Despite the rejected hypothesis, this study does confirm that the Mellor-Yamada-Janjic (MYJ) planetary boundary layer (PBL) parametrization has a cool and moist bias near the surface, as also found by Coniglio et al. (2013), Burlingame et al. (2017), Cohen et al. (2015) , Clark et al. (2012), among others. It is likely that the poor representation of capping inversions in WRF-ARW is from other numerics in the model, which is beyond the scope of this study.

ISBN: 9780438031715Subjects--Topical Terms:

3168354
Atmospheric sciences.

The Influence of Vertical Advection Discretization in WRF-ARW Model on Capping Inversion Representation in Warm-season, Thunderstorm Supporting Environments.
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506 $a This item must not be sold to any third party vendors.
520 $a This study evaluates forecasts of capping inversions and thermodynamic variables for believed areas of possible deep, moist convection initiation during the warm-season using the Weather Research and Forecasting Model (WRF) with the Advanced Research core (WRF-ARW). WRF-ARW was configured nearly identical to the National Severe Storms Laboratory (NSSL) version of WRF (NSSL-WRF). WRF-ARW's default third-order-accurate vertical advection scheme, which is an odd-order-accurate scheme, is known to introduce implicit damping which acts to dampen short wavelength features (Skamarock et al. 2008), such as capping inversions. It is hypothesized that by increasing WRF-ARW's vertical advection to the next higher, even-order-accurate vertical advection scheme, this would remove the associated implicit dampening, thus improving WRF-ARW's handling of capping inversion representation. After computing Student's t tests on the bias of each weather and thermodynamic variable, it was deemed that the fourth-order-accurate vertical advection scheme did not improve WRF-ARW's representation of capping inversion or other thermodynamic variables. Despite the rejected hypothesis, this study does confirm that the Mellor-Yamada-Janjic (MYJ) planetary boundary layer (PBL) parametrization has a cool and moist bias near the surface, as also found by Coniglio et al. (2013), Burlingame et al. (2017), Cohen et al. (2015) , Clark et al. (2012), among others. It is likely that the poor representation of capping inversions in WRF-ARW is from other numerics in the model, which is beyond the scope of this study.
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