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Title: A new vertical grid nesting capability in the Weather Research and Forecasting (WRF) Model

Abstract

Mesoscale atmospheric models are increasingly used for high-resolution (<3 km) simulations to better resolve smaller-scale flow details. Increased resolution is achieved using mesh refinement via grid nesting, a procedure where multiple computational domains are integrated either concurrently or in series. A constraint in the concurrent nesting framework offered by the Weather Research and Forecasting (WRF) Model is that mesh refinement is restricted to the horizontal dimensions. This limitation prevents control of the grid aspect ratio, leading to numerical errors due to poor grid quality and preventing grid optimization. Here, a procedure permitting vertical nesting for one-way concurrent simulation is developed and validated through idealized cases. The benefits of vertical nesting are demonstrated using both mesoscale and large-eddy simulations (LES). Mesoscale simulations of the Terrain-Induced Rotor Experiment (T-REX) show that vertical grid nesting can alleviate numerical errors due to large aspect ratios on coarse grids, while allowing for higher vertical resolution on fine grids. Furthermore, the coarsening of the parent domain does not result in a significant loss of accuracy on the nested domain. LES of neutral boundary layer flow shows that, by permitting optimal grid aspect ratios on both parent and nested domains, use of vertical nesting yields improved agreementmore » with the theoretical logarithmic velocity profile on both domains. Lastly, vertical grid nesting in WRF opens the path forward for multiscale simulations, allowing more accurate simulations spanning a wider range of scales than previously possible.« less

Authors:
 [1];  [1];  [1];  [2];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Univ. of California, Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1341983
Report Number(s):
LLNL-JRNL-681237
Journal ID: ISSN 0027-0644
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Monthly Weather Review
Additional Journal Information:
Journal Volume: 144; Journal Issue: 10; Journal ID: ISSN 0027-0644
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 17 WIND ENERGY; Models and modeling; Boundary conditions; Large eddy simulations; Mesoscale models; Numerical analysis/modeling; Numerical weather prediction/forecasting; Vertical coordinates

Citation Formats

Daniels, Megan H., Lundquist, Katherine A., Mirocha, Jeffrey D., Wiersema, David J., and Chow, Fotini K. A new vertical grid nesting capability in the Weather Research and Forecasting (WRF) Model. United States: N. p., 2016. Web. doi:10.1175/MWR-D-16-0049.1.
Daniels, Megan H., Lundquist, Katherine A., Mirocha, Jeffrey D., Wiersema, David J., & Chow, Fotini K. A new vertical grid nesting capability in the Weather Research and Forecasting (WRF) Model. United States. doi:10.1175/MWR-D-16-0049.1.
Daniels, Megan H., Lundquist, Katherine A., Mirocha, Jeffrey D., Wiersema, David J., and Chow, Fotini K. Fri . "A new vertical grid nesting capability in the Weather Research and Forecasting (WRF) Model". United States. doi:10.1175/MWR-D-16-0049.1. https://www.osti.gov/servlets/purl/1341983.
@article{osti_1341983,
title = {A new vertical grid nesting capability in the Weather Research and Forecasting (WRF) Model},
author = {Daniels, Megan H. and Lundquist, Katherine A. and Mirocha, Jeffrey D. and Wiersema, David J. and Chow, Fotini K.},
abstractNote = {Mesoscale atmospheric models are increasingly used for high-resolution (<3 km) simulations to better resolve smaller-scale flow details. Increased resolution is achieved using mesh refinement via grid nesting, a procedure where multiple computational domains are integrated either concurrently or in series. A constraint in the concurrent nesting framework offered by the Weather Research and Forecasting (WRF) Model is that mesh refinement is restricted to the horizontal dimensions. This limitation prevents control of the grid aspect ratio, leading to numerical errors due to poor grid quality and preventing grid optimization. Here, a procedure permitting vertical nesting for one-way concurrent simulation is developed and validated through idealized cases. The benefits of vertical nesting are demonstrated using both mesoscale and large-eddy simulations (LES). Mesoscale simulations of the Terrain-Induced Rotor Experiment (T-REX) show that vertical grid nesting can alleviate numerical errors due to large aspect ratios on coarse grids, while allowing for higher vertical resolution on fine grids. Furthermore, the coarsening of the parent domain does not result in a significant loss of accuracy on the nested domain. LES of neutral boundary layer flow shows that, by permitting optimal grid aspect ratios on both parent and nested domains, use of vertical nesting yields improved agreement with the theoretical logarithmic velocity profile on both domains. Lastly, vertical grid nesting in WRF opens the path forward for multiscale simulations, allowing more accurate simulations spanning a wider range of scales than previously possible.},
doi = {10.1175/MWR-D-16-0049.1},
journal = {Monthly Weather Review},
number = 10,
volume = 144,
place = {United States},
year = {Fri Sep 16 00:00:00 EDT 2016},
month = {Fri Sep 16 00:00:00 EDT 2016}
}

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